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Susan Athey

Citations

Many of the citations below have been collected in an experimental project, CitEc, where a more detailed citation analysis can be found. These are citations from works listed in RePEc that could be analyzed mechanically. So far, only a minority of all works could be analyzed. See under "Corrections" how you can help improve the citation analysis.

RePEc Biblio mentions

As found on the RePEc Biblio, the curated bibliography of Economics:
  1. Athey, Susan & Imbens, Guido W., 2015. "Machine Learning for Estimating Heterogeneous Causal Effects," Research Papers 3350, Stanford University, Graduate School of Business.

    Mentioned in:

    1. > Econometrics > Big Data

Wikipedia or ReplicationWiki mentions

(Only mentions on Wikipedia that link back to a page on a RePEc service)
  1. Susan Athey & Dominic Coey & Jonathan Levin, 2013. "Set-Asides and Subsidies in Auctions," American Economic Journal: Microeconomics, American Economic Association, vol. 5(1), pages 1-27, February.

    Mentioned in:

    1. Set-Asides and Subsidies in Auctions (AEJ:MI 2013) in ReplicationWiki ()
  2. Susan Athey & Lawrence F. Katz & Alan B. Krueger & Steven Levitt & James Poterba, 2007. "What Does Performance in Graduate School Predict? Graduate Economics Education and Student Outcomes," American Economic Review, American Economic Association, vol. 97(2), pages 512-520, May.

    Mentioned in:

    1. What Does Performance in Graduate School Predict? (AER 2007) in ReplicationWiki ()

Working papers

  1. Tianyu Du & Ayush Kanodia & Susan Athey, 2023. "Torch-Choice: A PyTorch Package for Large-Scale Choice Modelling with Python," Papers 2304.01906, arXiv.org, revised Jul 2023.

    Cited by:

    1. Guhl, Daniel, 2024. "Tracking time-varying brand equity using household panel data," Journal of Business Research, Elsevier, vol. 182(C).

  2. Damian Clarke & Daniel Paila~nir & Susan Athey & Guido Imbens, 2023. "Synthetic Difference In Differences Estimation," Papers 2301.11859, arXiv.org, revised Feb 2023.

    Cited by:

    1. Adolfsen, Jakob Feveile & Heissel, Malte & Manu, Ana-Simona & Vinci, Francesca, 2024. "Burn now or never? Climate change exposure and investment of fossil fuel firms," Working Paper Series 2945, European Central Bank.
    2. Adam Scavette, 2023. "The Economic Impact of a Casino Monopoly: Evidence from Atlantic City," Working Paper 23-07, Federal Reserve Bank of Richmond.
    3. Kauhanen, Antti, 2024. "The Effects of the Decentralization of Collective Bargaining on Wage Differences Among Employee Groups," ETLA Working Papers 118, The Research Institute of the Finnish Economy.
    4. Fleuriet, Vincent & Vertier, Paul, 2024. "Does the G20 compact with Africa foster economic growth: Evidence from synthetic differences," Economics Letters, Elsevier, vol. 236(C).
    5. Hobbs, Duncan & Strain, Michael R., 2024. "Do Reemployment Bonuses Increase Employment? Evidence from the Idaho Return to Work Bonus Program," IZA Discussion Papers 16924, Institute of Labor Economics (IZA).
    6. Saggu, Aman & Ante, Lennart, 2023. "The influence of ChatGPT on artificial intelligence related crypto assets: Evidence from a synthetic control analysis," Finance Research Letters, Elsevier, vol. 55(PB).
    7. Kishore, Prabhat & Roy, Devesh & Birthal, Pratap S. & Srivastava, Shivendra Kumar, 2024. "Regulation and Policy Response to Groundwater Preservation in India," Policy Papers 345044, ICAR National Institute of Agricultural Economics and Policy Research (NIAP).
    8. Ryan, Michael & Tanaka, Ayumu, 2023. "Affiliate Ownership Structure Responses to FDI Liberalization Policies," SocArXiv cdajf, Center for Open Science.
    9. Sun, Meng & Zhao, Naibao & Zheng, Emily Yiying, 2024. "The devil in the air: Air pollution and dementia," Journal of Environmental Economics and Management, Elsevier, vol. 127(C).
    10. Kauhanen, Antti & Rouvinen, Petri, 2024. "Assessing Early Labor Market Effects of Generative AI - Evidence from Population Data," ETLA Working Papers 121, The Research Institute of the Finnish Economy.
    11. Cerqua, Augusto & Ferrante, Chiara & Letta, Marco, 2023. "Electoral earthquake: Local shocks and authoritarian voting," European Economic Review, Elsevier, vol. 156(C).
    12. Dench, Daniel & Pineda-Torres, Mayra & Myers, Caitlin, 2024. "The effects of post-Dobbs abortion bans on fertility," Journal of Public Economics, Elsevier, vol. 234(C).
    13. Ajab Khan & Ali Sina Önder & Sercan Özcan, 2023. "Does Performance-based Public Funding Pay off? UK’s Research Excellence Framework (REF) and Research Productivity," Working Papers in Economics & Finance 2023-08, University of Portsmouth, Portsmouth Business School, Economics and Finance Subject Group.
    14. Antti Kauhanen, 2024. "The effects of the decentralization of collective bargaining on wages and wage dispersion: Evidence from the Finnish forest and IT industries," British Journal of Industrial Relations, London School of Economics, vol. 62(2), pages 319-334, June.

  3. Susan Athey & Lisa K. Simon & Oskar N. Skans & Johan Vikstrom & Yaroslav Yakymovych, 2023. "The Heterogeneous Earnings Impact of Job Loss Across Workers, Establishments, and Markets," Papers 2307.06684, arXiv.org, revised Feb 2024.

    Cited by:

    1. Francesconi, Marco & Sonedda, Daniela, 2024. "Does Weaker Employment Protection Lower the Cost of Job Loss?," IZA Discussion Papers 17374, Institute of Labor Economics (IZA).
    2. Du, Tianyu & Kanodia, Ayush & Brunborg, Herman & Vafa, Keyon & Athey, Susan, 2024. "Labor-LLM: Language-Based Occupational Representations with Large Language Models," Research Papers 4188, Stanford University, Graduate School of Business.
    3. Balgova, Maria & Illing, Hannah, 2024. "The Labor Market Costs of Job Displacement by Migrant Status," IZA Discussion Papers 17496, Institute of Labor Economics (IZA).

  4. Susan Athey & Niall Keleher & Jann Spiess, 2023. "Machine Learning Who to Nudge: Causal vs Predictive Targeting in a Field Experiment on Student Financial Aid Renewal," Papers 2310.08672, arXiv.org, revised May 2024.

    Cited by:

    1. Athey, Susan & Palikot, Emil, 2024. "The Value of Non-traditional Credentials in the Labor Market," Research Papers 4189, Stanford University, Graduate School of Business.
    2. Chowdhury, Shyamal & Hasan, Syed & Sharma, Uttam, 2024. "The Role of Trainee Selection in the Effectiveness of Vocational Training: Evidence from a Randomized Controlled Trial in Nepal," IZA Discussion Papers 16705, Institute of Labor Economics (IZA).
    3. Kirill Ponomarev & Vira Semenova, 2024. "On the Lower Confidence Band for the Optimal Welfare," Papers 2410.07443, arXiv.org, revised Oct 2024.
    4. Anya Shchetkina & Ron Berman, 2024. "When Is Heterogeneity Actionable for Personalization?," Papers 2411.16552, arXiv.org.

  5. Susan Athey & Undral Byambadalai & Vitor Hadad & Sanath Kumar Krishnamurthy & Weiwen Leung & Joseph Jay Williams, 2022. "Contextual Bandits in a Survey Experiment on Charitable Giving: Within-Experiment Outcomes versus Policy Learning," Papers 2211.12004, arXiv.org.

    Cited by:

    1. Toru Kitagawa & Jeff Rowley, 2024. "Bandit Algorithms for Policy Learning: Methods, Implementation, and Welfare-performance," Papers 2409.00379, arXiv.org.
    2. Toru Kitagawa & Jeff Rowley, 2024. "Bandit algorithms for policy learning: methods, implementation, and welfare-performance," The Japanese Economic Review, Springer, vol. 75(3), pages 407-447, July.

  6. Susan Athey & Kristen Grabarz & Michael Luca & Nils C. Wernerfelt, 2022. "Digital Public Health Interventions at Scale: The Impact of Social Media Advertising on Beliefs and Outcomes Related to COVID Vaccines," NBER Working Papers 30273, National Bureau of Economic Research, Inc.

    Cited by:

    1. Bei Yan & Feng Mai & Chaojiang Wu & Rui Chen & Xiaolin Li, 2024. "A Computational Framework for Understanding Firm Communication During Disasters," Information Systems Research, INFORMS, vol. 35(2), pages 590-608, June.
    2. Jose Maria Barrero & Nicholas Bloom & Steven J. Davis, 2022. "Long social distancing," POID Working Papers 056, Centre for Economic Performance, LSE.
    3. Matilde Giaccherini & Joanna Kopinska & Gabriele Rovigatti, 2022. "Vax Populi: The Social Costs of Online Vaccine Skepticism," CESifo Working Paper Series 10184, CESifo.

  7. Susan Athey & Juan Camilo Castillo & Esha Chaudhuri & Michael Kremer & Alexandre Simoes Gomes & Christopher Snyder, 2022. "Expanding Capacity for Vaccines Against Covid-19 and Future Pandemics: A Review of Economic Issues," NBER Working Papers 30192, National Bureau of Economic Research, Inc.

    Cited by:

    1. Witold Więcek, 2022. "Clinical trials for accelerating pandemic vaccines," Oxford Review of Economic Policy, Oxford University Press and Oxford Review of Economic Policy Limited, vol. 38(4), pages 797-817.
    2. Rachel Glennerster & Christopher M. Snyder & Brandon Joel Tan, 2022. "Calculating the Costs and Benefits of Advance Preparations for Future Pandemics," NBER Working Papers 30565, National Bureau of Economic Research, Inc.
    3. Christopher M. Snyder & Kendall Hoyt & Dimitrios Gouglas, 2022. "An Optimal Mechanism to Fund the Development of Vaccines Against Emerging Epidemics," NBER Working Papers 30619, National Bureau of Economic Research, Inc.
    4. Christoph Carnehl & Marco Ottaviani & Justus Preusser, 2024. "Designing Scientific Grants," Papers 2410.12356, arXiv.org.
    5. Rachel Glennerster & Thomas Kelly & Claire T. McMahon & Christopher M. Snyder, 2024. "Quantifying the social value of a universal COVID-19 vaccine and incentivizing its development," Review of Economic Design, Springer;Society for Economic Design, vol. 28(4), pages 723-761, December.
    6. Scott Duke Kominers & Alex Tabarrok, 2022. "Vaccines and the Covid-19 pandemic: lessons from failure and success," Oxford Review of Economic Policy, Oxford University Press and Oxford Review of Economic Policy Limited, vol. 38(4), pages 719-741.
    7. Isabel Helmrath & Matthias Hunold & Johannes Muthers, 2022. "Joint procurement by heterogeneous buyers," Economics working papers 2022-14, Department of Economics, Johannes Kepler University Linz, Austria.

  8. Susan Athey & Dean Karlan & Emil Palikot & Yuan Yuan, 2022. "Smiles in Profiles: Improving Fairness and Efficiency Using Estimates of User Preferences in Online Marketplaces," Papers 2209.01235, arXiv.org, revised Mar 2023.

    Cited by:

    1. Greenwald, Daniel L. & Howell, Sabrina T. & Li, Cangyuan & Yimfor, Emmanuel, 2024. "Regulatory arbitrage or random errors? Implications of race prediction algorithms in fair lending analysis," Journal of Financial Economics, Elsevier, vol. 157(C).
    2. Teng Ye & Jingnan Zheng & Junhui Jin & Jingyi Qiu & Wei Ai & Qiaozhu Mei, 2024. "Using Artificial Intelligence to Unlock Crowdfunding Success for Small Businesses," Papers 2407.09480, arXiv.org.
    3. Chen, Yutong, 2024. "Does the gig economy discriminate against women? Evidence from physicians in China," Journal of Development Economics, Elsevier, vol. 169(C).

  9. Susan Athey & Emil Palikot, 2022. "Effective and scalable programs to facilitate labor market transitions for women in technology," Papers 2211.09968, arXiv.org, revised Jan 2024.

    Cited by:

    1. Cordier, J.; & Salvi, I.; & Steinbeck, V.; & Geissler, A.; & Vogel, J.;, 2023. "Is rapid recovery always the best recovery? - Developing a machine learning approach for optimal assignment rules under capacity constraints for knee replacement patients," Health, Econometrics and Data Group (HEDG) Working Papers 23/08, HEDG, c/o Department of Economics, University of York.
    2. Athey, Susan & Palikot, Emil, 2024. "The Value of Non-traditional Credentials in the Labor Market," Research Papers 4189, Stanford University, Graduate School of Business.
    3. Frank Germann & Stephen J. Anderson & Pradeep K. Chintagunta & Naufel Vilcassim, 2024. "Frontiers: Breaking the Glass Ceiling: Empowering Female Entrepreneurs Through Female Mentors," Marketing Science, INFORMS, vol. 43(2), pages 244-253, March.

  10. Keshav Agrawal & Susan Athey & Ayush Kanodia & Emil Palikot, 2022. "Personalized Recommendations in EdTech: Evidence from a Randomized Controlled Trial," Papers 2208.13940, arXiv.org, revised Dec 2022.

    Cited by:

    1. Yiting Chen & Tracy Xiao Liu & You Shan & Songfa Zhong, 2023. "The Emergence of Economic Rationality of GPT," Papers 2305.12763, arXiv.org, revised Nov 2023.
    2. Keshav Agrawal & Susan Athey & Ayush Kanodia & Emil Palikot, 2023. "Digital interventions and habit formation in educational technology," Papers 2310.10850, arXiv.org, revised Jan 2024.

  11. Keyon Vafa & Emil Palikot & Tianyu Du & Ayush Kanodia & Susan Athey & David M. Blei, 2022. "CAREER: A Foundation Model for Labor Sequence Data," Papers 2202.08370, arXiv.org, revised Feb 2024.

    Cited by:

    1. Du, Tianyu & Kanodia, Ayush & Brunborg, Herman & Vafa, Keyon & Athey, Susan, 2024. "Labor-LLM: Language-Based Occupational Representations with Large Language Models," Research Papers 4188, Stanford University, Graduate School of Business.

  12. Susan Athey & Kristen Grabarz & Michael Luca & Nils Wernerfelt, 2022. "The Effectiveness of Digital Interventions on COVID-19 Attitudes and Beliefs," Papers 2206.10214, arXiv.org.

    Cited by:

    1. Jose Maria Barrero & Nicholas Bloom & Steven J. Davis, 2022. "Long social distancing," POID Working Papers 056, Centre for Economic Performance, LSE.
    2. Matilde Giaccherini & Joanna Kopinska & Gabriele Rovigatti, 2022. "Vax Populi: The Social Costs of Online Vaccine Skepticism," CESifo Working Paper Series 10184, CESifo.
    3. He, Daixin & Lu, Fangwen & Yang, Jianan, 2023. "Impact of self- or social-regarding health messages: Experimental evidence based on antibiotics purchases," Journal of Development Economics, Elsevier, vol. 163(C).

  13. Zhan, Ruohan & Hadad, Vitor & Hirshberg, David A. & Athey, Susan, 2021. "Off-Policy Evaluation via Adaptive Weighting with Data from Contextual Bandits," Research Papers 3970, Stanford University, Graduate School of Business.

    Cited by:

    1. Ruohan Zhan & Zhimei Ren & Susan Athey & Zhengyuan Zhou, 2024. "Policy Learning with Adaptively Collected Data," Management Science, INFORMS, vol. 70(8), pages 5270-5297, August.
    2. Jonas Metzger, 2022. "Adversarial Estimators," Papers 2204.10495, arXiv.org, revised Jun 2022.
    3. Vasilis Syrgkanis & Ruohan Zhan, 2023. "Post Reinforcement Learning Inference," Papers 2302.08854, arXiv.org, revised May 2024.

  14. Krishnamurthy, Sanath Kumar & Hadad, Vitor & Athey, Susan, 2021. "Adapting to Misspecification in Contextual Bandits with Offline Regression Oracles," Research Papers 3951, Stanford University, Graduate School of Business.

    Cited by:

    1. Susan Athey & Undral Byambadalai & Vitor Hadad & Sanath Kumar Krishnamurthy & Weiwen Leung & Joseph Jay Williams, 2022. "Contextual Bandits in a Survey Experiment on Charitable Giving: Within-Experiment Outcomes versus Policy Learning," Papers 2211.12004, arXiv.org.
    2. Aldo Gael Carranza & Susan Athey, 2023. "Federated Offline Policy Learning," Papers 2305.12407, arXiv.org, revised Oct 2024.

  15. Zeng, Jiaming & Gensheimer, Michael F. & Rubin, Daniel L. & Athey, Susan & Schachter, Ross D., 2021. "Uncovering Interpretable Potential Confounders in Electronic Medical Records," Research Papers 3950, Stanford University, Graduate School of Business.

    Cited by:

    1. Carrizosa, Emilio & Ramírez-Ayerbe, Jasone & Romero Morales, Dolores, 2024. "Mathematical optimization modelling for group counterfactual explanations," European Journal of Operational Research, Elsevier, vol. 319(2), pages 399-412.
    2. Takanobu Hirosawa & Yukinori Harada & Masashi Yokose & Tetsu Sakamoto & Ren Kawamura & Taro Shimizu, 2023. "Diagnostic Accuracy of Differential-Diagnosis Lists Generated by Generative Pretrained Transformer 3 Chatbot for Clinical Vignettes with Common Chief Complaints: A Pilot Study," IJERPH, MDPI, vol. 20(4), pages 1-10, February.

  16. Athey, Susan & Bergstrom, Katy & Hadad, Vitor & Jamison, Julian C. & Ozler, Berk & Parisotto, Luca & Sama, Julius Dohbit, 2021. "Shared Decision-Making: Can Improved Counseling Increase Willingness to Pay for Modern Contraceptives?," Research Papers 3987, Stanford University, Graduate School of Business.

    Cited by:

    1. Nina Deliu, 2024. "Reinforcement learning for sequential decision making in population research," Quality & Quantity: International Journal of Methodology, Springer, vol. 58(6), pages 5057-5080, December.
    2. Berkes, Jan & Bouguen, Adrien & Filmer, Deon & Fukao, Tsuyoshi, 2024. "Improving preschool provision and encouraging-demand: Evidence from a large-scale construction program," Journal of Public Economics, Elsevier, vol. 230(C).
    3. Anukriti, S & Herrera-Almanza, Catalina & Karra, Mahesh, 2022. "Bring a Friend: Strengthening Women's Social Networks and Reproductive Autonomy in India," IZA Discussion Papers 15381, Institute of Labor Economics (IZA).

  17. Ruoxuan Xiong & Allison Koenecke & Michael Powell & Zhu Shen & Joshua T. Vogelstein & Susan Athey, 2021. "Federated Causal Inference in Heterogeneous Observational Data," Papers 2107.11732, arXiv.org, revised Apr 2023.

    Cited by:

    1. Aldo Gael Carranza & Susan Athey, 2023. "Federated Offline Policy Learning," Papers 2305.12407, arXiv.org, revised Oct 2024.

  18. Krishnamurthy, Sanath Kumar & Athey, Susan, 2021. "Optimal Model Selection in Contextual Bandits with Many Classes via Offline Oracles," Research Papers 3971, Stanford University, Graduate School of Business.

    Cited by:

    1. Susan Athey & Undral Byambadalai & Vitor Hadad & Sanath Kumar Krishnamurthy & Weiwen Leung & Joseph Jay Williams, 2022. "Contextual Bandits in a Survey Experiment on Charitable Giving: Within-Experiment Outcomes versus Policy Learning," Papers 2211.12004, arXiv.org.

  19. Amrita Ahuja & Susan Athey & Arthur Baker & Eric Budish & Juan Camilo Castillo & Rachel Glennerster & Scott Duke Kominers & Michael Kremer & Jean Lee & Candice Prendergast & Christopher M. Snyder & Al, 2021. "Preparing for a Pandemic: Accelerating Vaccine Availability," Working Papers 2021-08, Becker Friedman Institute for Research In Economics.

    Cited by:

    1. Axel Ockenfels, 2021. "Marktdesign für eine resiliente Impfstoffproduktion," ECONtribute Policy Brief Series 020, University of Bonn and University of Cologne, Germany.
    2. Agarwal, Ruchir & Gaule, Patrick, 2022. "What drives innovation? Lessons from COVID-19 R&D," Journal of Health Economics, Elsevier, vol. 82(C).
    3. Kyle, Margaret K., 2022. "Incentives for pharmaceutical innovation: What’s working, what’s lacking," International Journal of Industrial Organization, Elsevier, vol. 84(C).
    4. Simon J. Evenett & Bernard Hoekman & Nadia Rocha and Michele Ruta, 2021. "The Covid-19 Vaccine Production Club: Will Value Chains Temper Nationalism?," RSCAS Working Papers 2021/36, European University Institute.
    5. Christopher M. Snyder & Kendall Hoyt & Dimitrios Gouglas, 2022. "An Optimal Mechanism to Fund the Development of Vaccines Against Emerging Epidemics," NBER Working Papers 30619, National Bureau of Economic Research, Inc.
    6. Veronika Grimm & Franziska K. Lembcke & Milena Schwarz, 2021. "Impffortschritt in Deutschland und der Welt: Chancen und Risiken [Opportunities and Risks of Vaccination Progress]," Wirtschaftsdienst, Springer;ZBW - Leibniz Information Centre for Economics, vol. 101(4), pages 266-275, April.
    7. Scott Duke Kominers & Alex Tabarrok, 2022. "Vaccines and the Covid-19 pandemic: lessons from failure and success," Oxford Review of Economic Policy, Oxford University Press and Oxford Review of Economic Policy Limited, vol. 38(4), pages 719-741.
    8. Nikhil Agarwal & Andrew Komo & Chetan A. Patel & Parag A. Pathak & M. Utku Ünver, 2021. "The Trade-off Between Prioritization and Vaccination Speed Depends on Mitigation Measures," NBER Working Papers 28519, National Bureau of Economic Research, Inc.

  20. Egger, Dennis & Miguel, Edward & Warren, Shana S & Shenoy, Ashish & Collins, Elliott & Karlan, Dean & Parkerson, Doug & Mobarak, A Mushfiq & Fink, Günther & Udry, Christopher & Walker, Michael & Haush, 2021. "Falling living standards during the COVID-19 crisis: Quantitative evidence from nine developing countries," Department of Economics, Working Paper Series qt95c6n64q, Department of Economics, Institute for Business and Economic Research, UC Berkeley.

    Cited by:

    1. Paaritosh Nath & S. Nelson Mandela & Aishwarya Gawali, 2023. "Loss, Recovery and the Long Road Ahead: Tracking India's Informal Workers Through the Pandemic," The Indian Journal of Labour Economics, Springer;The Indian Society of Labour Economics (ISLE), vol. 66(1), pages 329-354, March.
    2. Gatto, Marcel, 2021. "Heterogenous Effects of COVID-19 on Rural Livelihoods in Bangladesh: Evidence from a Panel Study," 2021 Conference, August 17-31, 2021, Virtual 315875, International Association of Agricultural Economists.
    3. Gray Molina George & Montoya-Aguirre María & Ortiz-Juarez Eduardo, 2022. "Temporary Basic Income in Times of Pandemic: Rationale, Costs and Poverty-Mitigation Potential," Basic Income Studies, De Gruyter, vol. 17(2), pages 125-154, December.
    4. Tabakis,Chrysostomos & Ten,Gi Khan & Merfeld,Joshua David & Newhouse,David Locke & Pape,Utz Johann & Weber,Michael, 2022. "The Welfare Implications of COVID-19 for Fragile and Conflict-Affected Areas," Policy Research Working Paper Series 10081, The World Bank.
    5. Clerici, Cristina & Tripodi, Stefano, 2021. "Unemployment and Intra-Household Dynamics: the Effect of Male Job Loss on Intimate Partner Violence in Uganda," Misum Working Paper Series 2021-4, Stockholm School of Economics, Mistra Center for Sustainable Markets (Misum).
    6. Hammond, James & Siegal, Kim & Milner, Daniel & Elimu, Emmanuel & Vail, Taylor & Cathala, Paul & Gatera, Arsene & Karim, Azfar & Lee, Ja-Eun & Douxchamps, Sabine & Tu, Mai Thanh & Ouma, Emily & Lukuyu, 2022. "Perceived effects of COVID-19 restrictions on smallholder farmers: Evidence from seven lower- and middle-income countries," Agricultural Systems, Elsevier, vol. 198(C).
    7. Mateusz Filipski & Anubhab Gupta & Justin Kagin & Arif Husain & Alejandro Grinspun & Oscar Maria Caccavale & Silvio Daidone & Valerio Giuffrida & Friederike Greb & Joseph Hooker & Susanna Sandström & , 2022. "A local general‐equilibrium emergency response modeling approach for sub‐Saharan Africa," Agricultural Economics, International Association of Agricultural Economists, vol. 53(1), pages 72-89, January.
    8. Regassa, Mekdim D. & Esenaliev, Damir & Tzvetkova, Milena & Baliki, Ghassan & Schreiner, Monika & Stojetz, Wolfgang & Brück, Tilman, 2024. "The impacts of exposure to COVID-19 on food security and diet diversity in Africa," IAAE 2024 Conference, August 2-7, 2024, New Delhi, India 344321, International Association of Agricultural Economists (IAAE).
    9. Giulia Barletta & Finório Castigo & Eva‐Maria Egger & Michael Keller & Vincenzo Salvucci & Finn Tarp, 2022. "The impact of COVID‐19 on consumption poverty in Mozambique," Journal of International Development, John Wiley & Sons, Ltd., vol. 34(4), pages 771-802, May.
    10. Aminou Arouna & Souleïmane A. Adekambi & Rachidi Aboudou & Wilfried Gnipabo Yergo & Gaudiose Mujawamariya, 2024. "Impact assessment of the COVID-19 pandemic on the income and food security of rice smallholder producers in five African countries," SN Business & Economics, Springer, vol. 4(11), pages 1-20, November.
    11. Bicalho, Clara & Platas, Melina R. & Rosenzweig, Leah R., 2021. "“If we move, it moves with us:” Physical distancing in Africa during COVID-19," World Development, Elsevier, vol. 142(C).
    12. Brunckhorst,Ben James & Cojocaru,Alexandru & Hill,Ruth & Kim,Yeon Soo & Kugler,Maurice David, 2023. "Long COVID : The Evolution of Household Welfare in Developing Countries during the Pandemic," Policy Research Working Paper Series 10300, The World Bank.
    13. Amaral, Sofía & Dinarte, Lelys & Domínguez, Patricio & Perez-Vincent, Santiago M., 2022. "Helping Families Help Themselves? The (Un)intended Impacts of a Digital Parenting Program," IDB Publications (Working Papers) 12307, Inter-American Development Bank.
    14. Nora Lustig & Valentina Martinez Pabon & Guido Neidhöfer & Mariano Tommasi, 2021. "Short and Long-Run Distributional Impacts of COVID-19 in Latin America," Working Papers 153, Universidad de San Andres, Departamento de Economia, revised Jun 2021.
    15. Brotherhood, L. & Cavalcanti, T. & Da Mata, D. & Santos, C., 2020. "Slums and Pandemics," Cambridge Working Papers in Economics 2076, Faculty of Economics, University of Cambridge.
    16. Hai-Anh Dang & Cuong Nguyen & Calogero Carletto, 2022. "Did a Successful Fight against COVID-19 Come at a Cost? Impacts of the Pandemic on Employment Outcomes in Vietnam," Working Papers 607, ECINEQ, Society for the Study of Economic Inequality.
    17. Mendiratta,Vibhuti & Nsababera,Olive Umuhire & Sam,Hannah, 2022. "The Impact of Covid-19 on Household Welfare in the Comoros : The Experience of a Small IslandDeveloping State," Policy Research Working Paper Series 9964, The World Bank.
    18. Kohler, Iliana V. & Kämpfen, Fabrice & Ciancio, Alberto & Mwera, James & Mwapasa, Victor & Kohler, Hans-Peter, 2022. "Curtailing Covid-19 on a dollar-a-day in Malawi: Role of community leadership for shaping public health and economic responses to the pandemic," World Development, Elsevier, vol. 151(C).
    19. Mabugu, Ramos E. & Maisonnave, Helene & Henseler, Martin & Chitiga-Mabugu, Margaret & Makochekanwa, Albert, 2023. "Implications of COVID-19 and mitigation measures on gender and the Zimbabwean economy," Economic Modelling, Elsevier, vol. 121(C).
    20. Hausmann, Ricardo & Schetter, Ulrich, 2022. "Horrible trade-offs in a pandemic: Poverty, fiscal space, policy, and welfare," World Development, Elsevier, vol. 153(C).
    21. Bundervoet,Tom & Davalos,Maria Eugenia & Garcia,Natalia, 2021. "The Short-Term Impacts of COVID-19 on Households in Developing Countries : An Overview Based on aHarmonized Data Set of High-Frequency Surveys," Policy Research Working Paper Series 9582, The World Bank.
    22. Guedegbe, Tharcisse & Adelaja, Adesoji & George, Justin, 2023. "Resilience, endogenous policy responses to COVID-19, and their impacts on farm performance," World Development, Elsevier, vol. 168(C).
    23. Saha, Shrabani & Sen, Kunal, 2023. "Do economic and political crises lead to corruption? The role of institutions," Economic Modelling, Elsevier, vol. 124(C).
    24. Joanna Upton & Elizabeth Tennant & Kathryn J. Fiorella & Christopher B. Barrett, 2023. "COVID-19, Household Resilience, and Rural Food Systems: Evidence from Southern and Eastern Africa," Palgrave Studies in Agricultural Economics and Food Policy, in: Christophe Béné & Stephen Devereux (ed.), Resilience and Food Security in a Food Systems Context, chapter 0, pages 281-320, Palgrave Macmillan.
    25. Gashaw Abate & Alan de Brauw & Kalle Hirvonen & Abdulazize Wolle, 2022. "Measuring consumption over the phone: Evidence from a survey experiment in urban Ethiopia," WIDER Working Paper Series wp-2022-93, World Institute for Development Economic Research (UNU-WIDER).
    26. Aminjonov, Ulugbek & Bargain, Olivier B. & Bernard, Tanguy, 2021. "Gimme Shelter. Social Distancing and Income Support in Times of Pandemic," IZA Discussion Papers 14967, Institute of Labor Economics (IZA).
    27. Kidman, Rachel & Breton, Etienne & Behrman, Jere & Kohler, Hans-Peter, 2022. "Returning to school after COVID-19 closures: Who is missing in Malawi?," International Journal of Educational Development, Elsevier, vol. 93(C).
    28. Joyeeta Singh Chakraborty & Bikash Ranjan Parida & Nilendu Singh, 2021. "Future Food Sustainability Can Be Traced Back into Local People’s Socio-Cultural Roots in Uttarakhand Himalaya, India," Sustainability, MDPI, vol. 13(13), pages 1-18, June.
    29. Chakravorty, Bhaskar & Bhatiya, Apurav Yash & Imbert, Clement & Lohnert, Maximilian & Panda, Poonam & Rathelot, Roland, 2022. "Impact of the COVID-19 Crisis on Indias Rural Youth : Evidence from a Panel Survey and an Experiment," CAGE Online Working Paper Series 634, Competitive Advantage in the Global Economy (CAGE).
    30. Verena Preusse & Manuel Santos Silva & Linda Steinhübel & Meike Wollni, 2024. "Covid‐19 and agricultural labor supply: Evidence from the rural–urban interface of an Indian mega‐city," Agribusiness, John Wiley & Sons, Ltd., vol. 40(2), pages 391-415, April.
    31. Alex Armand & Mattia Fracchia & Pedro C. Vicente, 2021. "Let’s call! Using the phone to increase acceptance of COVID-19 vaccines," NOVAFRICA Working Paper Series wp2113, Universidade Nova de Lisboa, Nova School of Business and Economics, NOVAFRICA.
    32. Hai-Anh Dang & Toan Huynh & Manh-Hung Nguyen, 2022. "Does the COVID-19 Pandemic Disproportionately Affect the Poor? Evidence from a Six-Country Survey," Working Papers 626, ECINEQ, Society for the Study of Economic Inequality.
    33. Ankel-Peters, Jörg & Fiala, Nathan & Rose, Julian & Aryemo, Filder, 2023. "The (very) long-run impacts of cash grants during a crisis," OSF Preprints rdjn9, Center for Open Science.
    34. Hangoma, Peter & Hachhethu, Kusum & Passeri, Silvia & Norheim, Ole Frithjof & Rivers, Johnathan & Mæstad, Ottar, 2024. "Short- and long-term food insecurity and policy responses in pandemics: Panel data evidence from COVID-19 in low- and middle-income countries," World Development, Elsevier, vol. 175(C).
    35. Christian Estmann & Henrik Hansen & John Rand, 2021. "Fiscal policy responses to COVID-19 in Danida priority countries in Sub-Saharan Africa," DERG working paper series 21-09, University of Copenhagen. Department of Economics. Development Economics Research Group (DERG).
    36. Monteiro Amaral,Sofia Fernando & Dinarte Diaz,Lelys Ileana & Dominguez,Patricio & Perez-Vincent,Santiago M., 2021. "Helping Families Help Themselves ? Heterogeneous Effects of a Digital Parenting Program," Policy Research Working Paper Series 9850, The World Bank.
    37. Didarul Islam & Mohammad Abdullah Al Faisal, 2024. "Variability in Aggregate Personal Income Across Industrial Sectors During COVID-19 Shock: A Time-Series Exploration," Papers 2403.20039, arXiv.org.
    38. Feindouno, Sosso & Arcand, Jean-Louis & Guillaumont, Patrick, 2024. "COVID-19's death transfer to Sub-Saharan Africa," Social Science & Medicine, Elsevier, vol. 340(C).
    39. Gao Tianming & Vasilii Erokhin & Aleksandr Arskiy & Mikail Khudzhatov, 2021. "Has the COVID-19 Pandemic Affected Maritime Connectivity? An Estimation for China and the Polar Silk Road Countries," Sustainability, MDPI, vol. 13(6), pages 1-39, March.
    40. Margherita Squarcina & Donato Romano, 2022. "Identifying the transmission channels of COVID-19 impact on poverty and food security in refugee-hosting districts of Uganda," Working Papers - Economics wp2022_08.rdf, Universita' degli Studi di Firenze, Dipartimento di Scienze per l'Economia e l'Impresa.
    41. Vlassopoulos, Michael & Siddique, Abu & Rahman, Tabassum & Pakrashi, Debayan & Islam, Asadul & Ahmed, Firoz, 2021. "Improving Women's Mental Health during a Pandemic," IZA Discussion Papers 14786, Institute of Labor Economics (IZA).
    42. Jakubowski, Aleksandra & Egger, Dennis & Nekesa, Carolyne & Lowe, Layna & Walker, Michael & Miguel, Edward, 2021. "Self-reported vs Directly Observed Face Mask Use in Kenya," Department of Economics, Working Paper Series qt6jx7p45h, Department of Economics, Institute for Business and Economic Research, UC Berkeley.
    43. Dang, Hai-Anh H. & Salehi-Isfahani, Djavad & Do, Minh N. N., 2024. "The impacts of COVID-19 on female labor force participation in Iran," GLO Discussion Paper Series 1440, Global Labor Organization (GLO).
    44. Emily Aiken & Suzanne Bellue & Dean Karlan & Christopher R. Udry & Joshua Blumenstock, 2021. "Machine Learning and Mobile Phone Data Can Improve the Targeting of Humanitarian Assistance," NBER Working Papers 29070, National Bureau of Economic Research, Inc.
    45. Natalie Bau & Gaurav Khanna & Corinne Low & Manisha Shah & Sreyashi Sharmin & Alessandra Voena, 2021. "Women's Well-Being During a Pandemic and its Containment," NBER Working Papers 29121, National Bureau of Economic Research, Inc.
    46. Wenjin Long & Junxia Zeng & Tongquan Sun, 2021. "Who Lost Most Wages and Household Income during the COVID‐19 Pandemic in Poor Rural China?," China & World Economy, Institute of World Economics and Politics, Chinese Academy of Social Sciences, vol. 29(6), pages 95-116, November.
    47. Lanau, Alba & Grieve, Tigist & Tengbeh, Angus Fayia & Enria, Luisa & Wayack-Pambé, Madeleine, 2023. "“Since the market is closed, there is no more money, there is nothing we can do”: Voices of adolescent girls in Burkina Faso and Sierra Leone on poverty and COVID-19," Children and Youth Services Review, Elsevier, vol. 155(C).
    48. Hai-Anh H. Dang & Cuong Viet Nguyen, 2024. "Agricultural Production as a Coping Strategy during the Covid-19 Pandemic? Evidence from Rural Viet Nam," Working Papers DP-2023-23, Economic Research Institute for ASEAN and East Asia (ERIA).
    49. Kozhaya, Mireille, 2022. "The double burden: The impact of school closures on labor force participation of mothers," Ruhr Economic Papers 956, RWI - Leibniz-Institut für Wirtschaftsforschung, Ruhr-University Bochum, TU Dortmund University, University of Duisburg-Essen.
    50. Bastien Michel & Samuel Kembou & Sonali Wayal & Joanna Murray, 2023. "Leveraging Mobile Phone Expansion in LMICs to Improve Parental Practices," Working Papers hal-03909663, HAL.
    51. Blimpo, Moussa & Pugatch, Todd, 2023. "Unintended Consequences of Youth Entrepreneurship Programs: Experimental Evidence from Rwanda," IZA Discussion Papers 16489, Institute of Labor Economics (IZA).
    52. Chacha, Peter Wankuru & Kirui, Benard Kipyegon & Wiedemann, Verena, 2024. "Supply Chains in Times of Crisis: Evidence from Kenya’s Production Network," World Development, Elsevier, vol. 173(C).
    53. Sophie Bruin & Just Dengerink & Jasper Vliet, 2021. "Urbanisation as driver of food system transformation and opportunities for rural livelihoods," Food Security: The Science, Sociology and Economics of Food Production and Access to Food, Springer;The International Society for Plant Pathology, vol. 13(4), pages 781-798, August.
    54. Barker, Nathan & Davis, C. Austin & López-Peña, Paula & Mitchell, Harrison & Mobarak, Ahmed Mushfiq & Naguib, Karim & Reimão, Maira Emy & Shenoy, Ashish & Vernot, Corey, 2023. "Migration and resilience during a global crisis," European Economic Review, Elsevier, vol. 158(C).
    55. Martin Paul Jr. Tabe‐Ojong & Bisrat Haile Gebrekidan & Emmanuel Nshakira‐Rukundo & Jan Börner & Thomas Heckelei, 2022. "COVID‐19 in rural Africa: Food access disruptions, food insecurity and coping strategies in Kenya, Namibia, and Tanzania," Agricultural Economics, International Association of Agricultural Economists, vol. 53(5), pages 719-738, September.
    56. Calogero Carletto, 2021. "Better data, higher impact: improving agricultural data systems for societal change [Correlated non-classical measurement errors, ‘second best’ policy inference, and the inverse size-productivity r," European Review of Agricultural Economics, Oxford University Press and the European Agricultural and Applied Economics Publications Foundation, vol. 48(4), pages 719-740.
    57. Victoria Baranov & Pauline Grosjean & Fatima Jamal Khan & Sarah Walker, 2022. "The impact of COVID‐related economic shocks on household mental health in Pakistan," Health Economics, John Wiley & Sons, Ltd., vol. 31(10), pages 2208-2228, October.
    58. Berkouwer, Susanna & Biscaye, Pierre & Hsu, Eric & Kim, Oliver & Lee, Kenneth & Miguel, Edward & Wolfram, Catherine, 2023. "Money or Power? Choosing Covid-19 aid in Kenya," Department of Economics, Working Paper Series qt77q3w4sm, Department of Economics, Institute for Business and Economic Research, UC Berkeley.
    59. Risto Rönkkö & Stuart Rutherford & Kunal Sen, 2021. "The impact of the COVID-19 pandemic on the poor: Insights from the Hrishipara diaries," WIDER Working Paper Series wp-2021-46, World Institute for Development Economic Research (UNU-WIDER).
    60. Arpit Gupta & Anup Malani & Bartosz Woda, 2021. "Inequality in India Declined During COVID," NBER Working Papers 29597, National Bureau of Economic Research, Inc.
    61. Nitya Mittal & Janina Isabel Steinert & Sebastian Vollmer, 2023. "COVID-19 pandemic, losses of livelihoods and uneven recovery in Pune, India," Palgrave Communications, Palgrave Macmillan, vol. 10(1), pages 1-10, December.
    62. Abbie Turiansky & Erin Lipman & Arif Mamun & Cullen Seaton & Jonathan Gellar & Sarah Hughes, "undated". "Financial Inclusion and Resilience to COVID-19 Economic Shocks: Evidence from Kenya, Nigeria, and Uganda," Mathematica Policy Research Reports a7cc410219f848528f77e294d, Mathematica Policy Research.
    63. Carlos F. Gould & Ajay Pillarisetti & Lisa M. Thompson & Sonakshi Saluja & Vagisha Nandan & Johannes Urpelainen, 2023. "Using high-frequency household surveys to describe energy use in rural North India during the COVID-19 pandemic," Nature Energy, Nature, vol. 8(2), pages 169-178, February.
    64. Bolarin, Olufemi & Komolafe, Sola Emmanuel & Ajiboye, Damilola John, 2022. "Adaptation Strategies of Small-Scale Farmers to Challenges of COVID-19 Pandemic in Osun State, Nigeria," Problems of World Agriculture / Problemy Rolnictwa Światowego, Warsaw University of Life Sciences, vol. 22(1), March.
    65. Chunzhu Wei & Mo Zhang & Wei Chen & Yong Ge & Daoping Wang & Die Zhang & Desheng Xue & Qiuming Cheng & Changxiu Cheng & Wenguang Zhang, 2023. "After the pandemic: the global seafood trade market forecasts in 2030," Palgrave Communications, Palgrave Macmillan, vol. 10(1), pages 1-13, December.
    66. Jana Hamdan & Yuanwei Xu, 2022. "COVID-19 Lockdown Compliance, Financial Stress, and Acceleration in Technology Adoption in Rural Uganda," Discussion Papers of DIW Berlin 2007, DIW Berlin, German Institute for Economic Research.
    67. Lenore Manderson & Diego Chavarro & Blessings Kaunda-Khangamwa & Alexander Kagaha & Henry Zakumumpa, 2022. "Containing COVID-19 and the social costs on human rights in African countries," Palgrave Communications, Palgrave Macmillan, vol. 9(1), pages 1-11, December.
    68. Jeong, Joshua & Ahun, Marilyn N. & Bliznashka, Lilia & Velthausz, Daan & Donco, Rotafina & Yousafzai, Aisha K., 2021. "Barriers and facilitators to father involvement in early child health services: A qualitative study in rural Mozambique," Social Science & Medicine, Elsevier, vol. 287(C).
    69. Vintar,Mirko & Beltramo,Theresa Parrish & Delius,Antonia Johanna Sophie & Egger,Dennis Timo & Pape,Utz Johann, 2022. "Impact of COVID-19 on Labor Market Outcomes of Refugees and Nationals in Kenya," Policy Research Working Paper Series 9960, The World Bank.
    70. Stephen Roll & Yung Chun & Olga Kondratjeva & Mathieu Despard & Talia Meital Schwartz-Tayri & Michal Grinstein-Weiss, 2022. "Household Spending Patterns and Hardships during COVID-19: A Comparative Study of the U.S. and Israel," Journal of Family and Economic Issues, Springer, vol. 43(2), pages 261-281, June.
    71. Lecoutere, Els & van den Berg, Marrit & de Brauw, Alan, 2023. "Changes in women’s empowerment in the household, women’s diet diversity, and their relationship against the background of COVID-19 in southern Bangladesh," Journal of Asian Economics, Elsevier, vol. 84(C).

  21. Susan Athey & Markus Mobius & Jeno Pal, 2021. "The Impact of Aggregators on Internet News Consumption," NBER Working Papers 28746, National Bureau of Economic Research, Inc.

    Cited by:

    1. Sandrini, Luca & Somogyi, Robert, 2023. "Generative AI and deceptive news consumption," Economics Letters, Elsevier, vol. 232(C).
    2. Li, Anqi & Hu, Lin, 2023. "Electoral accountability and selection with personalized information aggregation," Games and Economic Behavior, Elsevier, vol. 140(C), pages 296-315.
    3. Du, Kai & Song, Jinyuan, 2022. "The impact of geotargeting on household information acquisition: Evidence from a Google News redesign," Research Policy, Elsevier, vol. 51(10).
    4. Adithya Pattabhiramaiah & Eric Overby & Lizhen Xu, 2022. "Spillovers from Online Engagement: How a Newspaper Subscriber’s Activation of Digital Paywall Access Affects Her Retention and Subscription Revenue," Management Science, INFORMS, vol. 68(5), pages 3528-3548, May.
    5. Stephanie L. Chan, 2021. "The Social Value of Public Information When Not Everyone is Privately Informed," Working Papers 2021-09-18, Wang Yanan Institute for Studies in Economics (WISE), Xiamen University.
    6. Bisceglia, Michele, 2023. "The unbundling of journalism," European Economic Review, Elsevier, vol. 158(C).
    7. Tim Meyer & Anna Kerkhof & Carmelo Cennamo & Tobias Kretschmer, 2022. "Competing for Attention on Information Platforms: The Case of News," CESifo Working Paper Series 9832, CESifo.
    8. Go, Geoffrey, 2021. "News Media, Digital Platforms and Content Sharing," Warwick-Monash Economics Student Papers 23, Warwick Monash Economics Student Papers.
    9. Li, Yi & Zhang, Wei & Urquhart, Andrew & Wang, Pengfei, 2022. "The role of media coverage in the bubble formation: Evidence from the Bitcoin market," Journal of International Financial Markets, Institutions and Money, Elsevier, vol. 80(C).

  22. Athey, Susan & Ferguson, Billy & Gentzkow, Matthew & Schmidt, Tobias, 2021. "Estimating Experienced Racial Segregation in U.S. Cities Using Large-Scale GPS Data," Research Papers 3994, Stanford University, Graduate School of Business.

    Cited by:

    1. Paul Blanchard & Douglas Gollin & Martina Kirchberger, 2023. "Perpetual Motion: High-Frequency Human Mobility in Three African Countries," Trinity Economics Papers tep0823, Trinity College Dublin, Department of Economics.
    2. Coven, Joshua & Gupta, Arpit & Yao, Iris, 2023. "JUE Insight: Urban flight seeded the COVID-19 pandemic across the United States," Journal of Urban Economics, Elsevier, vol. 133(C).
    3. Almagro, Milena & Coven, Joshua & Gupta, Arpit & Orane-Hutchinson, Angelo, 2023. "Disparities in COVID-19 risk exposure: Evidence from geolocation data," Regional Science and Urban Economics, Elsevier, vol. 102(C).
    4. Yuhei Miyauchi & Kentaro Nakajima & Stephen J. Redding, 2022. "The Economics of Spatial Mobility: Theory and Evidence Using Smartphone Data," Working Papers 295, Princeton University, Department of Economics, Center for Economic Policy Studies..

  23. Susan Athey & Peter J. Bickel & Aiyou Chen & Guido W. Imbens & Michael Pollmann, 2021. "Semiparametric Estimation of Treatment Effects in Randomized Experiments," Papers 2109.02603, arXiv.org, revised Aug 2023.

    Cited by:

    1. Baul, Tushi & Karlan, Dean & Toyama, Kentaro & Vasilaky, Kathryn, 2024. "Improving smallholder agriculture via video-based group extension," Journal of Development Economics, Elsevier, vol. 169(C).
    2. Joe Cooprider & Shima Nassiri, 2023. "Science of price experimentation at Amazon," Business Economics, Palgrave Macmillan;National Association for Business Economics, vol. 58(1), pages 34-41, January.
    3. Ke Sun & Linglong Kong & Hongtu Zhu & Chengchun Shi, 2024. "ARMA-Design: Optimal Treatment Allocation Strategies for A/B Testing in Partially Observable Time Series Experiments," Papers 2408.05342, arXiv.org, revised Jan 2025.

  24. Ruohan Zhan & Zhimei Ren & Susan Athey & Zhengyuan Zhou, 2021. "Policy Learning with Adaptively Collected Data," Papers 2105.02344, arXiv.org, revised Nov 2022.

    Cited by:

    1. Shantanu Gupta & Zachary C. Lipton & David Childers, 2021. "Efficient Online Estimation of Causal Effects by Deciding What to Observe," Papers 2108.09265, arXiv.org, revised Oct 2021.
    2. Masahiro Kato & Kyohei Okumura & Takuya Ishihara & Toru Kitagawa, 2024. "Adaptive Experimental Design for Policy Learning," Papers 2401.03756, arXiv.org, revised Feb 2024.
    3. Keshav Agrawal & Susan Athey & Ayush Kanodia & Emil Palikot, 2022. "Personalized Recommendations in EdTech: Evidence from a Randomized Controlled Trial," Papers 2208.13940, arXiv.org, revised Dec 2022.

  25. Offer-Westort, Molly & Rosenzweig, Leah R. & Athey, Susan, 2020. "Optimal Policies to Battle the Coronavirus "Infodemic" among Social Media Users in Sub-Saharan Africa: Pre-analysis Plan," Research Papers 3913, Stanford University, Graduate School of Business.

    Cited by:

    1. Aur'elien Bibaut & Nathan Kallus, 2024. "Demistifying Inference after Adaptive Experiments," Papers 2405.01281, arXiv.org.

  26. Sanath Kumar Krishnamurthy & Susan Athey, 2020. "Survey Bandits with Regret Guarantees," Papers 2002.09814, arXiv.org.

    Cited by:

    1. Danielle Li & Lindsey Raymond & Peter Bergman, 2024. "Hiring as Exploration," Papers 2411.03616, arXiv.org.
    2. Claudio Cardoso Flores & Marcelo Cunha Medeiros, 2020. "Online Action Learning in High Dimensions: A Conservative Perspective," Papers 2009.13961, arXiv.org, revised Mar 2024.

  27. Susan Athey & Raj Chetty & Guido Imbens, 2020. "Combining Experimental and Observational Data to Estimate Treatment Effects on Long Term Outcomes," Papers 2006.09676, arXiv.org.

    Cited by:

    1. Yechan Park & Yuya Sasaki, 2024. "A Bracketing Relationship for Long-Term Policy Evaluation with Combined Experimental and Observational Data," Papers 2401.12050, arXiv.org.
    2. Jiafeng Chen & David M. Ritzwoller, 2021. "Semiparametric Estimation of Long-Term Treatment Effects," Papers 2107.14405, arXiv.org, revised Aug 2023.
    3. George Z. Gui, 2020. "Combining Observational and Experimental Data to Improve Efficiency Using Imperfect Instruments," Papers 2010.05117, arXiv.org, revised Dec 2023.
    4. Harsh Parikh & Marco Morucci & Vittorio Orlandi & Sudeepa Roy & Cynthia Rudin & Alexander Volfovsky, 2023. "A Double Machine Learning Approach to Combining Experimental and Observational Data," Papers 2307.01449, arXiv.org, revised Apr 2024.
    5. Yechan Park & Yuya Sasaki, 2024. "Matching $\leq$ Hybrid $\leq$ Difference in Differences," Papers 2411.07952, arXiv.org.
    6. Tatyana Deryugina & Julian Reif, 2023. "The Long-run Effect of Air Pollution on Survival," NBER Working Papers 31858, National Bureau of Economic Research, Inc.
    7. Xiong, Ruoxuan & Koenecke, Allison & Powell, Michael & Shen, Zhu & Vogelstein, Joshua T. & Athey, Susan, 2021. "Federated Causal Inference in Heterogeneous Observational Data," Research Papers 3990, Stanford University, Graduate School of Business.
    8. Guido Imbens & Nathan Kallus & Xiaojie Mao & Yuhao Wang, 2022. "Long-term Causal Inference Under Persistent Confounding via Data Combination," Papers 2202.07234, arXiv.org, revised Aug 2024.
    9. Li, Ting & Shi, Chengchun & Wen, Qianglin & Sui, Yang & Qin, Yongli & Lai, Chunbo & Zhu, Hongtu, 2024. "Combining experimental and historical data for policy evaluation," LSE Research Online Documents on Economics 125588, London School of Economics and Political Science, LSE Library.
    10. Xavier D'Haultfoeuille & Christophe Gaillac & Arnaud Maurel, 2022. "Partially Linear Models under Data Combination," NBER Working Papers 29953, National Bureau of Economic Research, Inc.
    11. Xinyu Li & Wang Miao & Fang Lu & Xiao‐Hua Zhou, 2023. "Improving efficiency of inference in clinical trials with external control data," Biometrics, The International Biometric Society, vol. 79(1), pages 394-403, March.
    12. Carlos Fernández-Loría & Foster Provost, 2022. "Causal Decision Making and Causal Effect Estimation Are Not the Same…and Why It Matters," INFORMS Joural on Data Science, INFORMS, vol. 1(1), pages 4-16, April.
    13. Yechan Park & Yuya Sasaki, 2024. "The Informativeness of Combined Experimental and Observational Data under Dynamic Selection," Papers 2403.16177, arXiv.org.
    14. Kyungmin Park & Stephanie Lee & Shahryar Doosti & Yong Tan, 2023. "Provision of helpful review videos: Effects of video characteristics on perceived helpfulness," Production and Operations Management, Production and Operations Management Society, vol. 32(7), pages 2031-2048, July.
    15. George Z. Gui, 2024. "Combining Observational and Experimental Data to Improve Efficiency Using Imperfect Instruments," Marketing Science, INFORMS, vol. 43(2), pages 378-391, March.
    16. Dmitry Arkhangelsky & Guido Imbens, 2023. "Causal Models for Longitudinal and Panel Data: A Survey," Papers 2311.15458, arXiv.org, revised Jun 2024.

  28. Athey, Susan & Bryan, Kevin & Gans, Joshua S., 2020. "The Allocation of Decision Authority to Human and Artificial Intelligence," Research Papers 3856, Stanford University, Graduate School of Business.

    Cited by:

    1. Andres, Antonio Rodriguez & Otero, Abraham & Amavilah, Voxi Heinrich, 2021. "Evaluation of technology clubs by clustering: A cautionary note," MPRA Paper 109138, University Library of Munich, Germany.
    2. Marie Obidzinski & Yves Oytana, 2022. "Advisory algorithms and liability rules," Working Papers hal-04222291, HAL.
    3. Fabian Gaessler & Henning Piezunka, 2023. "Training with AI: Evidence from chess computers," Strategic Management Journal, Wiley Blackwell, vol. 44(11), pages 2724-2750, November.
    4. Ashesh Rambachan & Jon Kleinberg & Sendhil Mullainathan & Jens Ludwig, 2020. "An Economic Approach to Regulating Algorithms," NBER Working Papers 27111, National Bureau of Economic Research, Inc.
    5. Bryce McLaughlin & Jann Spiess, 2022. "Algorithmic Assistance with Recommendation-Dependent Preferences," Papers 2208.07626, arXiv.org, revised Jan 2024.
    6. Feldhaus, Christoph & Lingens, Jörg & Löschel, Andreas & Zunker, Gerald, 2022. "Encouraging consumer activity through automatic switching of the electricity contract - A field experiment," Energy Policy, Elsevier, vol. 164(C).
    7. Lyu, Wenjing & Liu, Jin, 2021. "Soft skills, hard skills: What matters most? Evidence from job postings," Applied Energy, Elsevier, vol. 300(C).
    8. Mustafa Dogan & Alexandre Jacquillat & Pinar Yildirim, 2024. "Strategic automation and decision‐making authority," Journal of Economics & Management Strategy, Wiley Blackwell, vol. 33(1), pages 203-246, January.
    9. Jonathan Gruber & Benjamin R. Handel & Samuel H. Kina & Jonathan T. Kolstad, 2020. "Managing Intelligence: Skilled Experts and AI in Markets for Complex Products," NBER Working Papers 27038, National Bureau of Economic Research, Inc.
    10. Laura Abrardi & Carlo Cambini & Laura Rondi, 2022. "Artificial intelligence, firms and consumer behavior: A survey," Journal of Economic Surveys, Wiley Blackwell, vol. 36(4), pages 969-991, September.
    11. Bauer, Kevin & von Zahn, Moritz & Hinz, Oliver, 2023. "Please take over: XAI, delegation of authority, and domain knowledge," SAFE Working Paper Series 394, Leibniz Institute for Financial Research SAFE.
    12. Lyu, Wenjing & Liu, Jin, 2021. "Artificial Intelligence and emerging digital technologies in the energy sector," Applied Energy, Elsevier, vol. 303(C).
    13. Ajay K. Agrawal & Joshua S. Gans & Avi Goldfarb, 2022. "Prediction Machines, Insurance, and Protection: An Alternative Perspective on AI's Role in Production," NBER Working Papers 30177, National Bureau of Economic Research, Inc.
    14. Marie Obidzinski & Yves Oytana, 2022. "Prediction, human decision and liability rules, CRED Working paper No 2022-06," Working Papers hal-04034871, HAL.
    15. Laura Blattner & Scott Nelson & Jann Spiess, 2021. "Unpacking the Black Box: Regulating Algorithmic Decisions," Papers 2110.03443, arXiv.org, revised May 2024.
    16. Caro-Burnett, Johann & Kaneko, Shinji, 2022. "Is Society Ready for AI Ethical Decision Making? Lessons from a Study on Autonomous Cars," Journal of Behavioral and Experimental Economics (formerly The Journal of Socio-Economics), Elsevier, vol. 98(C).
    17. Talia Gillis & Bryce McLaughlin & Jann Spiess, 2021. "On the Fairness of Machine-Assisted Human Decisions," Papers 2110.15310, arXiv.org, revised Sep 2023.

  29. Susan Athey & Billy A. Ferguson & Matthew Gentzkow & Tobias Schmidt, 2020. "Experienced Segregation," NBER Working Papers 27572, National Bureau of Economic Research, Inc.

    Cited by:

    1. Daniel Aaronson & Daniel Hartley & Bhashkar Mazumder, 2023. "The Lasting Impact of Historical Residential Security Maps on Experienced Segregation," Working Paper Series WP 2023-33, Federal Reserve Bank of Chicago.
    2. Couture, Victor & Dingel, Jonathan I. & Green, Allison & Handbury, Jessie & Williams, Kevin R., 2022. "JUE Insight: Measuring movement and social contact with smartphone data: a real-time application to COVID-19," Journal of Urban Economics, Elsevier, vol. 127(C).
    3. Kirchberger, Martina, 2021. "Measuring internal migration," Regional Science and Urban Economics, Elsevier, vol. 91(C).

  30. Susan Athey & Guido Imbens, 2019. "Machine Learning Methods Economists Should Know About," Papers 1903.10075, arXiv.org.

    Cited by:

    1. Combes, Pierre-Philippe & Gobillon, Laurent & Zylberberg, Yanos, 2022. "Urban economics in a historical perspective: Recovering data with machine learning," Regional Science and Urban Economics, Elsevier, vol. 94(C).
    2. Nicolas Gavoille & Anna Zasova, 2021. "What we pay in the shadows: Labor tax evasion, minimum wage hike and employment," SSE Riga/BICEPS Research Papers 6, Baltic International Centre for Economic Policy Studies (BICEPS);Stockholm School of Economics in Riga (SSE Riga).
    3. John Aoga & Juhee Bae & Stefanija Veljanoska & Siegfried Nijssen & Pierre Schaus, 2020. "Impact of weather factors on migration intention using machine learning algorithms," Papers 2012.02794, arXiv.org.
    4. Blankenship, Brian & Aklin, Michaël & Urpelainen, Johannes & Nandan, Vagisha, 2022. "Jobs for a just transition: Evidence on coal job preferences from India," Energy Policy, Elsevier, vol. 165(C).
    5. Matthew A Cole & Robert J R Elliott & Bowen Liu, 2020. "The Impact of the Wuhan Covid-19 Lockdown on Air Pollution and Health: A Machine Learning and Augmented Synthetic Control Approach," Discussion Papers 20-09, Department of Economics, University of Birmingham.
    6. Andrii Babii & Xi Chen & Eric Ghysels & Rohit Kumar, 2020. "Binary Choice with Asymmetric Loss in a Data-Rich Environment: Theory and an Application to Racial Justice," Papers 2010.08463, arXiv.org, revised Nov 2021.
    7. Giacomo De Giorgi & Costanza Naguib, 2022. "Life after Default: Credit Hardship and its Effects," Diskussionsschriften dp2206, Universitaet Bern, Departement Volkswirtschaft.
    8. Tsang, Andrew, 2021. "Uncovering Heterogeneous Regional Impacts of Chinese Monetary Policy," WiSo-HH Working Paper Series 62, University of Hamburg, Faculty of Business, Economics and Social Sciences, WISO Research Laboratory.
    9. James Ming Chen, 2021. "An Introduction to Machine Learning for Panel Data," International Advances in Economic Research, Springer;International Atlantic Economic Society, vol. 27(1), pages 1-16, February.
    10. Sebastian Doerr & Leonardo Gambacorta & José María Serena Garralda, 2021. "Big data and machine learning in central banking," BIS Working Papers 930, Bank for International Settlements.
    11. Sophie-Charlotte Klose & Johannes Lederer, 2020. "A Pipeline for Variable Selection and False Discovery Rate Control With an Application in Labor Economics," Papers 2006.12296, arXiv.org, revised Jun 2020.
    12. Gallego, J & Rivero, G & Martínez, J.D., 2018. "Preventing rather than Punishing: An Early Warning Model of Malfeasance in Public Procurement," Documentos de Trabajo 16724, Universidad del Rosario.
    13. Ravi Kumar & Shahin Boluki & Karl Isler & Jonas Rauch & Darius Walczak, 2022. "Machine Learning based Framework for Robust Price-Sensitivity Estimation with Application to Airline Pricing," Papers 2205.01875, arXiv.org, revised Dec 2022.
    14. Kyle Colangelo & Ying-Ying Lee, 2019. "Double debiased machine learning nonparametric inference with continuous treatments," CeMMAP working papers CWP54/19, Centre for Microdata Methods and Practice, Institute for Fiscal Studies.
    15. Paolo Brunori & Pedro Salas-Rojo & Paolo Verme, 2022. "Estimating Inequality with Missing Incomes," Working Papers 616, ECINEQ, Society for the Study of Economic Inequality.
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    150. Mona Aghdaee & Bonny Parkinson & Kompal Sinha & Yuanyuan Gu & Rajan Sharma & Emma Olin & Henry Cutler, 2022. "An examination of machine learning to map non‐preference based patient reported outcome measures to health state utility values," Health Economics, John Wiley & Sons, Ltd., vol. 31(8), pages 1525-1557, August.
    151. Andres, Antonio Rodriguez & Otero, Abraham & Amavilah, Voxi Heinrich, 2021. "Using Deep Learning Neural Networks to Predict the Knowledge Economy Index for Developing and Emerging Economies," MPRA Paper 109137, University Library of Munich, Germany.
    152. Ademmer, Martin & Beckmann, Joscha & Bode, Eckhardt & Boysen-Hogrefe, Jens & Funke, Manuel & Hauber, Philipp & Heidland, Tobias & Hinz, Julian & Jannsen, Nils & Kooths, Stefan & Söder, Mareike & Stame, 2021. "Big Data in der makroökonomischen Analyse," Kieler Beiträge zur Wirtschaftspolitik 32, Kiel Institute for the World Economy (IfW Kiel).
    153. Fluchtmann, Jonas & Glenny, Anita Marie & Harmon, Nikolaj & Maibom, Jonas, 2021. "The Gender Application Gap: Do Men and Women Apply for the Same Jobs?," IZA Discussion Papers 14906, Institute of Labor Economics (IZA).
    154. Yang Yi & Le Wen & Shan He, 2022. "Partitioning for “Common but Differentiated” Precise Air Pollution Governance: A Combined Machine Learning and Spatial Econometric Approach," Energies, MDPI, vol. 15(9), pages 1-23, May.
    155. Sokbae Lee & Yuan Liao & Myung Hwan Seo & Youngki Shin, 2022. "Fast Inference for Quantile Regression with Tens of Millions of Observations," Papers 2209.14502, arXiv.org, revised Oct 2023.
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    158. Ioannis Kyriakou & Parastoo Mousavi & Jens Perch Nielsen & Michael Scholz, 2019. "Machine Learning for Forecasting Excess Stock Returns The Five-Year-View," Graz Economics Papers 2019-06, University of Graz, Department of Economics.
    159. Tomás Marinozzi & Leandro Nallar & Sergio Pernice, 2021. "Intuitive Mathematical Economics Series. General Equilibrium Models and the Gradient Field Method," CEMA Working Papers: Serie Documentos de Trabajo. 820, Universidad del CEMA.
    160. Hui Chen & Winston Wei Dou & Leonid Kogan, 2024. "Measuring “Dark Matter” in Asset Pricing Models," Journal of Finance, American Finance Association, vol. 79(2), pages 843-902, April.
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    162. Baaken, Dominik & Hess, Sebastian, 2021. "Regionale Milchmengenprognose: Regressionsmodelle und Maschinelles Lernen im Vergleich," 61st Annual Conference, Berlin, Germany, September 22-24, 2021 317056, German Association of Agricultural Economists (GEWISOLA).
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    203. Imhof, David & Wallimann, Hannes, 2021. "Detecting bid-rigging coalitions in different countries and auction formats," International Review of Law and Economics, Elsevier, vol. 68(C).
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    205. Nir Chemaya & Daniel Martin, 2023. "Perceptions and Detection of AI Use in Manuscript Preparation for Academic Journals," Papers 2311.14720, arXiv.org, revised Jan 2024.
    206. Skoufias,Emmanuel & Vinha,Katja Pauliina, 2020. "Child Stature, Maternal Education, and Early Childhood Development," Policy Research Working Paper Series 9396, The World Bank.
    207. Mustafa, Andy Ali & Lin, Ching-Yang & Kakinaka, Makoto, 2022. "Detecting market pattern changes: A machine learning approach," Finance Research Letters, Elsevier, vol. 47(PA).
    208. Silveira, Douglas & de Moraes, Lucas B. & Fiuza, Eduardo P.S. & Cajueiro, Daniel O., 2023. "Who are you? Cartel detection using unlabeled data," International Journal of Industrial Organization, Elsevier, vol. 88(C).
    209. Domonkos F. Vamossy & Rolf Skog, 2021. "EmTract: Extracting Emotions from Social Media," Papers 2112.03868, arXiv.org, revised Jun 2023.
    210. Helena Chuliá & Sabuhi Khalili & Jorge M. Uribe, 2024. "Monitoring time-varying systemic risk in sovereign debt and currency markets with generative AI," IREA Working Papers 202402, University of Barcelona, Research Institute of Applied Economics, revised Feb 2024.
    211. Elena Ivona DUMITRESCU & Sullivan HUE & Christophe HURLIN & Sessi TOKPAVI, 2020. "Machine Learning or Econometrics for Credit Scoring: Let’s Get the Best of Both Worlds," LEO Working Papers / DR LEO 2839, Orleans Economics Laboratory / Laboratoire d'Economie d'Orleans (LEO), University of Orleans.
    212. Adamczyk, Willian Boschetti & Monasterio, Leonardo & Fochezatto, Adelar, 2021. "Automation in the future of public sector employment: the case of Brazilian Federal Government," Technology in Society, Elsevier, vol. 67(C).
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    214. Ajit Desai, 2023. "Machine Learning for Economics Research: When What and How?," Papers 2304.00086, arXiv.org, revised Apr 2023.
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    216. Florian Gunsilius & Susanne Schennach, 2023. "Independent Nonlinear Component Analysis," Journal of the American Statistical Association, Taylor & Francis Journals, vol. 118(542), pages 1305-1318, April.
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    218. Jau-er Chen & Chien-Hsun Huang & Jia-Jyun Tien, 2019. "Debiased/Double Machine Learning for Instrumental Variable Quantile Regressions," Papers 1909.12592, arXiv.org, revised Feb 2021.
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    221. Daniel Wochner, 2020. "Dynamic Factor Trees and Forests – A Theory-led Machine Learning Framework for Non-Linear and State-Dependent Short-Term U.S. GDP Growth Predictions," KOF Working papers 20-472, KOF Swiss Economic Institute, ETH Zurich.
    222. Joshua Lanier & Jeremy Large & John Quah, 2022. "Estimating very large demand systems," Economics Series Working Papers 998, University of Oxford, Department of Economics.
    223. Arthur Charpentier & Romuald Élie & Carl Remlinger, 2023. "Reinforcement Learning in Economics and Finance," Computational Economics, Springer;Society for Computational Economics, vol. 62(1), pages 425-462, June.
    224. Brown, David P. & Eckert, Andrew & Silveira, Douglas, 2023. "Screening for Collusion in Wholesale Electricity Markets: A Review of the Literature," Working Papers 2023-7, University of Alberta, Department of Economics.
    225. Kawata, Keisuke & Nakabayashi, Masaki, 2023. "Persistent mind: The effects of information provision on policy preferences," Journal of Policy Modeling, Elsevier, vol. 45(3), pages 522-537.
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    227. Barzin,Samira & Avner,Paolo & Maruyama Rentschler,Jun Erik & O’Clery,Neave, 2022. "Where Are All the Jobs ? A Machine Learning Approach for High Resolution Urban Employment Prediction inDeveloping Countries," Policy Research Working Paper Series 9979, The World Bank.
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    230. Carlos Fern'andez-Lor'ia & Foster Provost & Jesse Anderton & Benjamin Carterette & Praveen Chandar, 2020. "A Comparison of Methods for Treatment Assignment with an Application to Playlist Generation," Papers 2004.11532, arXiv.org, revised Apr 2022.
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    234. Vamossy, Domonkos F., 2021. "Investor emotions and earnings announcements," Journal of Behavioral and Experimental Finance, Elsevier, vol. 30(C).
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    2. Povilas Lastauskas & Julius Stakėnas, 2022. "Dancing Alone or Together: The Dynamic Effects of Independent and Common Monetary Policies," Advances in Econometrics, in: Essays in Honor of M. Hashem Pesaran: Prediction and Macro Modeling, volume 43, pages 217-241, Emerald Group Publishing Limited.
    3. Lu Zhang & Xiaomeng Zhang & Xinyu Zhang, 2024. "Asymptotic Properties of the Distributional Synthetic Controls," Papers 2405.00953, arXiv.org, revised Aug 2024.
    4. Rodrigo Carril & Audrey Guo, 2023. "The Impact of Preference Programs in Public Procurement: Evidence from Veteran Set-Asides," Working Papers 1417, Barcelona School of Economics.
    5. Joan Monras & Jose G. Montalvo, 2023. "The Effect of Second-Generation Rent Controls: New Evidence from Catalonia," Working Paper Series 2023-28, Federal Reserve Bank of San Francisco.
    6. Ron Berman & Ayelet Israeli, 2022. "The Value of Descriptive Analytics: Evidence from Online Retailers," Marketing Science, INFORMS, vol. 41(6), pages 1074-1096, November.
    7. Adolfsen, Jakob Feveile & Heissel, Malte & Manu, Ana-Simona & Vinci, Francesca, 2024. "Burn now or never? Climate change exposure and investment of fossil fuel firms," Working Paper Series 2945, European Central Bank.
    8. Hess, Joshua H., 2024. "The impact of Dobbs v. Jackson on medical school applications," Economics Letters, Elsevier, vol. 241(C).
    9. Kotsogiannis, Christos & Salvadori, Luca & Karangwa, John & Mukamana, Theonille, 2024. "Do tax audits have a dynamic impact? Evidence from corporate income tax administrative data," Journal of Development Economics, Elsevier, vol. 170(C).
    10. Carmen Villa, 2024. "The effects of youth clubs on education and crime," IFS Working Papers W24/51, Institute for Fiscal Studies.
    11. Jaya Jumrani & J. V. Meenakshi, 2023. "How effective is a fat subsidy? Evidence from edible oil consumption in India," Journal of Agricultural Economics, Wiley Blackwell, vol. 74(2), pages 327-348, June.
    12. Eli Ben-Michael & Avi Feller & Jesse Rothstein, 2019. "Synthetic Controls with Staggered Adoption," Papers 1912.03290, arXiv.org, revised Jan 2021.
    13. Daniel de Abreu Pereira Uhr & Felipe Weizenmann & Julia Gallego Ziero Uhr, 2024. "The impact of the Economic Adjustment Programme for Ireland: a synthetic control approach," Economics and Business Letters, Oviedo University Press, vol. 13(2), pages 82-90.
    14. Senay Topal & Patrick Richard & John Young & Anuradha Ganesan & Todd Gleeson & Jason Blaylock & Jason F. Okulicz & Xiuping Chu & Brian K. Agan, 2024. "Mandated checkups, knowledge of own health status, and chronic care utilization: The effect of HIV medical evaluation mandates on healthcare quality and expenditure in a US‐single payer system," Health Economics, John Wiley & Sons, Ltd., vol. 33(1), pages 59-81, January.
    15. Dovern, Jonas & Frank, Johannes & Glas, Alexander & Müller, Lena Sophia & Perico Ortiz, Daniel, 2023. "Estimating pass-through rates for the 2022 tax reduction on fuel prices in Germany," Energy Economics, Elsevier, vol. 126(C).
    16. Steinbach, Sandro & Yildirim, Yasin, 2023. "Agricultural Commodity Market Response to Russia’s Withdrawal from the Grain Deal," 2023: The Future of (Ag-) Trade and Trade Governance in Times of Economic Sanctions and Declining Multilateralism, December 10-12, Clearwater Beach, FL 339540, International Agricultural Trade Research Consortium.
    17. Nuno Garoupa & Rok Spruk, 2024. "Populist Constitutional Backsliding and Judicial Independence: Evidence from Turkiye," Papers 2410.02439, arXiv.org.
    18. Adam Scavette, 2023. "The Economic Impact of a Casino Monopoly: Evidence from Atlantic City," Working Paper 23-07, Federal Reserve Bank of Richmond.
    19. Rupasingha, Anil & Davis, James C., 2024. "Early Impacts of Opportunity Zones on Minority and Rural Employment," 2024 Annual Meeting, July 28-30, New Orleans, LA 343540, Agricultural and Applied Economics Association.
    20. Campbell, Travis & Rodgers, Yana van der Meulen, 2023. "Conversion therapy, suicidality, and running away: An analysis of transgender youth in the U.S," Journal of Health Economics, Elsevier, vol. 89(C).
    21. Crudu, Federico & Di Stefano, Roberta & Mellace, Giovanni & Tiezzi, Silvia, 2024. "The gray zone: How not imposing a strict lockdown at the beginning of a pandemic can cost many lives," Labour Economics, Elsevier, vol. 89(C).
    22. Dmitry Arkhangelsky & David Hirshberg, 2023. "Large-Sample Properties of the Synthetic Control Method under Selection on Unobservables," Papers 2311.13575, arXiv.org, revised Dec 2023.
    23. Zhang, Ning & Wang, Shuo, 2024. "Can China's regional carbon market pilots improve power plants' energy efficiency?," Energy Economics, Elsevier, vol. 129(C).
    24. Nicholas Reinarts & Vitor Melo, 2023. "ADA to Ph.D.? The Americans with disabilities act and post-secondary educational attainment," Public Choice, Springer, vol. 197(3), pages 421-432, December.
    25. Kauhanen, Antti, 2024. "The Effects of the Decentralization of Collective Bargaining on Wage Differences Among Employee Groups," ETLA Working Papers 118, The Research Institute of the Finnish Economy.
    26. Lijun Ma & Cong Liu & Yong Zhan, 2024. "How smart city construction affects destination tourism efficiency," Tourism Economics, , vol. 30(6), pages 1600-1623, September.
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    168. Robert Messerle & Jonas Schreyögg, 2024. "Country-level effects of diagnosis-related groups: evidence from Germany’s comprehensive reform of hospital payments," The European Journal of Health Economics, Springer;Deutsche Gesellschaft für Gesundheitsökonomie (DGGÖ), vol. 25(6), pages 1013-1030, August.
    169. Gong, Da & Shang, Zhuocheng & Su, Yaqin & Yan, Andong & Zhang, Qi, 2024. "Economic impacts of China's zero-COVID policies," China Economic Review, Elsevier, vol. 83(C).
    170. Augusto Cerqua & Roberta Di Stefano & Guido Pellegrini, 2023. "What kind of region reaps the benefits of a currency union?," Journal of Regional Science, Wiley Blackwell, vol. 63(3), pages 552-582, June.
    171. Goeyvaerts, Geert, 2023. "Reconstructing cities: Stimulating redevelopment through the tax code," Regional Science and Urban Economics, Elsevier, vol. 99(C).
    172. Oscar Engelbrektson, 2021. "Why Synthetic Control estimators are biased and what to do about it: Introducing Relaxed and Penalized Synthetic Controls," Papers 2111.10784, arXiv.org.
    173. Liu, Ning & Bao, Guoxian & Wu, Shaolong, 2023. "Social implications of Covid-19: Its impact on general trust, political trust, and trust in physicians in China," Social Science & Medicine, Elsevier, vol. 317(C).
    174. Ajab Khan & Ali Sina Önder & Sercan Özcan, 2023. "Does Performance-based Public Funding Pay off? UK’s Research Excellence Framework (REF) and Research Productivity," Working Papers in Economics & Finance 2023-08, University of Portsmouth, Portsmouth Business School, Economics and Finance Subject Group.
    175. de Roux, Nicolás & Riehl, Evan, 2022. "Disrupted academic careers: The returns to time off after high school," Journal of Development Economics, Elsevier, vol. 156(C).
    176. Guido W. Imbens & Davide Viviano, 2023. "Identification and Inference for Synthetic Controls with Confounding," Papers 2312.00955, arXiv.org.
    177. Guangdong Li & Chuanglin Fang & James E. M. Watson & Siao Sun & Wei Qi & Zhenbo Wang & Jianguo Liu, 2024. "Mixed effectiveness of global protected areas in resisting habitat loss," Nature Communications, Nature, vol. 15(1), pages 1-17, December.
    178. Antti Kauhanen, 2024. "The effects of the decentralization of collective bargaining on wages and wage dispersion: Evidence from the Finnish forest and IT industries," British Journal of Industrial Relations, London School of Economics, vol. 62(2), pages 319-334, June.
    179. Adam Scavette, 2024. "Aerospace Place-Based Policy: The Impact of Boeing on South Carolina's Aerospace Industry," Economic Development Quarterly, , vol. 38(4), pages 302-315, November.
    180. David Bruns-Smith & Oliver Dukes & Avi Feller & Elizabeth L. Ogburn, 2023. "Augmented balancing weights as linear regression," Papers 2304.14545, arXiv.org, revised Jun 2024.
    181. Fohlin, Caroline & Lu, Zhikun & Zhou, Nan, 2022. "Short sale bans may improve market quality during crises: New evidence from the 2020 Covid," SAFE Working Paper Series 365, Leibniz Institute for Financial Research SAFE.
    182. Sylvia Klosin, 2024. "Dynamic Biases of Static Panel Data Estimators," Papers 2410.16112, arXiv.org.
    183. Sandro Heiniger, 2024. "Data-driven model selection within the matrix completion method for causal panel data models," Papers 2402.01069, arXiv.org.
    184. de Abreu Pereira Uhr, Daniel & de Oliveira Pinheiro, Magnus Kelly & Francisco, Domingos Joaquim & de Oliveira, Mauricio Felipe Bemfica & Uhr, Júlia Gallego Ziero, 2023. "The effect of 1987 Ireland’s Programme for National Recovery on sustainable economic growth: A synthetic control approach," Economics Letters, Elsevier, vol. 222(C).
    185. Alex Oktay, 2022. "Heterogeneity in the exchange rate pass-through to consumer prices: the Swiss franc appreciation of 2015," Swiss Journal of Economics and Statistics, Springer;Swiss Society of Economics and Statistics, vol. 158(1), pages 1-20, December.
    186. Uchechukwu Jarrett & Hamid Mohtadi, 2023. "Understanding the globalization‐crisis linkage: A “differenced” approach," Review of International Economics, Wiley Blackwell, vol. 31(5), pages 1616-1640, November.
    187. Flynn, James, 2024. "Can Expanding Contraceptive Access Reduce Adverse Infant Health Outcomes?," IZA Discussion Papers 17146, Institute of Labor Economics (IZA).
    188. Armstrong, Christopher & Kepler, John D. & Samuels, Delphine & Taylor, Daniel, 2022. "Causality redux: The evolution of empirical methods in accounting research and the growth of quasi-experiments," Journal of Accounting and Economics, Elsevier, vol. 74(2).
    189. Maria Petrillo & Daniel Valdenegro & Charles Rahal & Yanan Zhang & Gwilym Pryce & Matthew R. Bennett, 2024. "Estimating the Cost of Informal Care with a Novel Two-Stage Approach to Individual Synthetic Control," Papers 2411.10314, arXiv.org, revised Nov 2024.
    190. Sunil Mithas & Yanzhen Chen & Yatang Lin & Alysson De Oliveira Silveira, 2022. "On the causality and plausibility of treatment effects in operations management research," Production and Operations Management, Production and Operations Management Society, vol. 31(12), pages 4558-4571, December.
    191. Alberto Abadie & Anish Agarwal & Raaz Dwivedi & Abhin Shah, 2024. "Doubly Robust Inference in Causal Latent Factor Models," Papers 2402.11652, arXiv.org, revised Oct 2024.
    192. Liu, Min & Xu, Wenli & Zhang, Hangyu & Chen, Huang & Bie, Qiang & Han, Guodong & Yu, Xiaohua, 2022. "Livestock production, greenhouse gas emissions, air pollution, and grassland conservation: Quasi-natural experimental evidence," MPRA Paper 115704, University Library of Munich, Germany.
    193. Jordi J. Teixidó & F. Javier Palencia-González & José M. Labeaga & Xavier Labandeira, 2024. "Carbon Leakage from Fuel Taxes: Evidence from a Natural Experiment," Environmental & Resource Economics, Springer;European Association of Environmental and Resource Economists, vol. 87(12), pages 3235-3270, December.
    194. Robert Calvert Jump & Adam Scavette, 2024. "Do Research Universities Recession Proof Their Regions? Evidence from State Flagship College Towns," Working Paper 24-05, Federal Reserve Bank of Richmond.
    195. Apoorva Lal & Daniel M Thompson, 2023. "Did Private Election Administration Funding Advantage Democrats in 2020?," Papers 2310.05275, arXiv.org.
    196. Guy Aridor & Yeon-Koo Che & Brett Hollenbeck & Maximilian Kaiser & Daniel McCarthy, 2024. "Evaluating the Impact of Privacy Regulation on E-Commerce Firms: Evidence from Apple’s App Tracking Transparency," CESifo Working Paper Series 10928, CESifo.
    197. Craig Wesley Carpenter & Kristopher Deming & John Anders & Michael Lotspeich‐Yadao & Charles M. Tolbert & Adam Ingrao, 2024. "Do payday lending bans protect or constrain regional economies? Evidence from the Military Lending Act's final rule," Contemporary Economic Policy, Western Economic Association International, vol. 42(2), pages 319-335, April.
    198. Alberto Abadie & Jinglong Zhao, 2021. "Synthetic Controls for Experimental Design," Papers 2108.02196, arXiv.org, revised Sep 2024.
    199. Dionne, Georges & Fenou, Akouété & Mnasri, Mohamed, 2024. "Insurers’ M&A in the United States during the 1990-2022 period: Is the Fed monetary policy a causal factor," Working Papers 24-2, HEC Montreal, Canada Research Chair in Risk Management, revised 16 Jul 2024.
    200. Julia Bluszcz & Marica Valente, 2019. "The War in Europe: Economic Costs of the Ukrainian Conflict," Discussion Papers of DIW Berlin 1804, DIW Berlin, German Institute for Economic Research.
    201. Cropper, Maureen & Suri, Palak, 2024. "Measuring the air pollution benefits of public transport projects," Regional Science and Urban Economics, Elsevier, vol. 107(C).
    202. Sun, Xing & Lin, Minzhen & Zhong, Huaming, 2024. "The motivation and impact of polluting Enterprises' diversifications: Quasi-natural experiments from environmental protection interview," Energy Economics, Elsevier, vol. 129(C).
    203. Dmitry Arkhangelsky & Guido Imbens, 2023. "Causal Models for Longitudinal and Panel Data: A Survey," Papers 2311.15458, arXiv.org, revised Jun 2024.
    204. Robert J. Kolesar & Rok Spruk, 2024. "Effect of Austerity Measures on Infant Mortality: Evidence from Greece," Papers 2407.17084, arXiv.org.
    205. Nils Braakmann & Barbara Eberth, 2024. "Can unions impose costs on employers in education strikes? Evidence from pension disputes in UK universities," Papers 2401.05183, arXiv.org.
    206. Bai, Dongbei & Hu, Jin & Irfan, Muhammad & Hu, Mingjun, 2023. "Unleashing the impact of ecological civilization pilot policies on green technology innovation: Evidence from a novel SC-DID model," Energy Economics, Elsevier, vol. 125(C).
    207. Lucie Coufalová & Fanny H. Dellinger & Peter Huber & Štěpán Mikula, 2024. "Borders and Population Growth: Evidence from a Century of Border Regime Changes on the Austrian-Czech Border," MUNI ECON Working Papers 2024-03, Masaryk University.
    208. Songnian Chen & Junlong Feng, 2023. "Group-Heterogeneous Changes-in-Changes and Distributional Synthetic Controls," Papers 2307.15313, arXiv.org.
    209. Arboleda Cárcamo, David, 2024. "Fitting a Curve to the Pre-Trends," Documentos CEDE 21199, Universidad de los Andes, Facultad de Economía, CEDE.
    210. Dennis Shen & Peng Ding & Jasjeet Sekhon & Bin Yu, 2022. "Same Root Different Leaves: Time Series and Cross-Sectional Methods in Panel Data," Papers 2207.14481, arXiv.org, revised Oct 2022.
    211. Luis Costa & Vivek F. Farias & Patricio Foncea & Jingyuan (Donna) Gan & Ayush Garg & Ivo Rosa Montenegro & Kumarjit Pathak & Tianyi Peng & Dusan Popovic, 2023. "Generalized Synthetic Control for TestOps at ABI: Models, Algorithms, and Infrastructure," Interfaces, INFORMS, vol. 53(5), pages 336-349, September.
    212. Li, Xun & Pan, Wensi & Xu, Gang, 2024. "A “leaner” government? The effect of China's anti-corruption campaign on the body weight and health of public sector employees," Journal of Economic Behavior & Organization, Elsevier, vol. 217(C), pages 141-169.
    213. Hollingsworth, Alex & Wing, Coady, 2020. "Tactics for design and inference in synthetic control studies: An applied example using high-dimensional data," SocArXiv fc9xt, Center for Open Science.
    214. Roth, Jonathan & Sant’Anna, Pedro H.C. & Bilinski, Alyssa & Poe, John, 2023. "What’s trending in difference-in-differences? A synthesis of the recent econometrics literature," Journal of Econometrics, Elsevier, vol. 235(2), pages 2218-2244.
    215. Viviano, Davide & Bradic, Jelena, 2023. "Synthetic Learner: Model-free inference on treatments over time," Journal of Econometrics, Elsevier, vol. 234(2), pages 691-713.
    216. Cannon Cloud & Simon He{ss} & Johannes Kasinger, 2022. "Do shared e-scooter services cause traffic accidents? Evidence from six European countries," Papers 2209.06870, arXiv.org, revised Sep 2022.
    217. Rico-Straffon, Jimena & Wang, Zhenhua & Panlasigui, Stephanie & Loucks, Colby J. & Swenson, Jennifer & Pfaff, Alexander, 2023. "Forest concessions and eco-certifications in the Peruvian Amazon: Deforestation impacts of logging rights and logging restrictions," Journal of Environmental Economics and Management, Elsevier, vol. 118(C).
    218. Posso, Alberto, 2023. "Bilingual education and child labor: Lessons from Peru," Journal of Economic Behavior & Organization, Elsevier, vol. 212(C), pages 840-872.

  32. Ruoxuan Xiong & Susan Athey & Mohsen Bayati & Guido Imbens, 2019. "Optimal Experimental Design for Staggered Rollouts," Papers 1911.03764, arXiv.org, revised Sep 2023.

    Cited by:

    1. Patrick Bajari & Brian Burdick & Guido W. Imbens & Lorenzo Masoero & James McQueen & Thomas Richardson & Ido M. Rosen, 2021. "Multiple Randomization Designs," Papers 2112.13495, arXiv.org.
    2. Jonathan Roth & Pedro H. C. Sant’Anna, 2023. "Efficient Estimation for Staggered Rollout Designs," Journal of Political Economy Microeconomics, University of Chicago Press, vol. 1(4), pages 669-709.
    3. Shuze Chen & David Simchi-Levi & Chonghuan Wang, 2024. "Experimenting on Markov Decision Processes with Local Treatments," Papers 2407.19618, arXiv.org, revised Oct 2024.
    4. Retsef Levi & Elisabeth Paulson & Georgia Perakis & Emily Zhang, 2024. "Heterogeneous Treatment Effects in Panel Data," Papers 2406.05633, arXiv.org.
    5. Jinglong Zhao, 2023. "Adaptive Neyman Allocation," Papers 2309.08808, arXiv.org, revised Sep 2023.
    6. Athey, Susan & Imbens, Guido W., 2022. "Design-based analysis in Difference-In-Differences settings with staggered adoption," Journal of Econometrics, Elsevier, vol. 226(1), pages 62-79.
    7. Maria Petrova & Ananya Sen & Pinar Yildirim, 2021. "Social Media and Political Contributions: The Impact of New Technology on Political Competition," Management Science, INFORMS, vol. 67(5), pages 2997-3021, May.
    8. Kathryn N. Vasilaky & J. Michelle Brock, 2020. "Power(ful) guidelines for experimental economists," Journal of the Economic Science Association, Springer;Economic Science Association, vol. 6(2), pages 189-212, December.
    9. Han, Kevin & Basse, Guillaume & Bojinov, Iavor, 2024. "Population interference in panel experiments," Journal of Econometrics, Elsevier, vol. 238(1).
    10. Jinglong Zhao & Zijie Zhou, 2022. "Pigeonhole Design: Balancing Sequential Experiments from an Online Matching Perspective," Papers 2201.12936, arXiv.org, revised May 2024.
    11. Iavor Bojinov & David Simchi-Levi & Jinglong Zhao, 2023. "Design and Analysis of Switchback Experiments," Management Science, INFORMS, vol. 69(7), pages 3759-3777, July.
    12. Jinglong Zhao, 2024. "Experimental Design For Causal Inference Through An Optimization Lens," Papers 2408.09607, arXiv.org, revised Aug 2024.
    13. Vivek F. Farias & Andrew A. Li & Tianyi Peng, 2021. "Learning Treatment Effects in Panels with General Intervention Patterns," Papers 2106.02780, arXiv.org, revised Mar 2023.
    14. Shan Huang & Chen Wang & Yuan Yuan & Jinglong Zhao & Brocco & Zhang, 2023. "Estimating Effects of Long-Term Treatments," Papers 2308.08152, arXiv.org, revised Dec 2024.

  33. Rob Donnelly & Francisco R. Ruiz & David Blei & Susan Athey, 2019. "Counterfactual Inference for Consumer Choice Across Many Product Categories," Papers 1906.02635, arXiv.org, revised Aug 2023.

    Cited by:

    1. Adam N. Smith & Stephan Seiler & Ishant Aggarwal, 2023. "Optimal Price Targeting," Marketing Science, INFORMS, vol. 42(3), pages 476-499, May.
    2. Krueger, Rico & Bierlaire, Michel & Daziano, Ricardo A. & Rashidi, Taha H. & Bansal, Prateek, 2021. "Evaluating the predictive abilities of mixed logit models with unobserved inter- and intra-individual heterogeneity," Journal of choice modelling, Elsevier, vol. 41(C).
    3. Adair Morse & Karen M. Pence, 2020. "Technological Innovation and Discrimination in Household Finance," Finance and Economics Discussion Series 2020-018, Board of Governors of the Federal Reserve System (U.S.).
    4. Tianyu Du & Ayush Kanodia & Susan Athey, 2023. "Torch-Choice: A PyTorch Package for Large-Scale Choice Modelling with Python," Papers 2304.01906, arXiv.org, revised Jul 2023.
    5. Henrika Langen & Martin Huber, 2022. "How causal machine learning can leverage marketing strategies: Assessing and improving the performance of a coupon campaign," Papers 2204.10820, arXiv.org, revised Jun 2022.
    6. Tatiana de Macedo Nogueira Lima, 2022. "Documento de Trabalho 03/2022 - Aprendizado de máquina e antitruste," Documentos de Trabalho 2022030, Conselho Administrativo de Defesa Econômica (Cade), Departamento de Estudos Econômicos.
    7. Du, Tianyu & Kanodia, Ayush & Brunborg, Herman & Vafa, Keyon & Athey, Susan, 2024. "Labor-LLM: Language-Based Occupational Representations with Large Language Models," Research Papers 4188, Stanford University, Graduate School of Business.
    8. Susan Athey, 2018. "The Impact of Machine Learning on Economics," NBER Chapters, in: The Economics of Artificial Intelligence: An Agenda, pages 507-547, National Bureau of Economic Research, Inc.
    9. Adam N. Smith & Jim E. Griffin, 2023. "Shrinkage priors for high-dimensional demand estimation," Quantitative Marketing and Economics (QME), Springer, vol. 21(1), pages 95-146, March.
    10. Adam N. Smith & Stephan Seiler & Ishant Aggarwal, 2021. "Optimal Price Targeting," CESifo Working Paper Series 9439, CESifo.

  34. Susan Athey & Mohsen Bayati & Guido Imbens & Zhaonan Qu, 2019. "Ensemble Methods for Causal Effects in Panel Data Settings," Papers 1903.10079, arXiv.org.

    Cited by:

    1. Fetzer, Thiemo & Wang, Shizhuo, 2020. "Measuring the Regional Economic Cost of Brexit: Evidence up to 2019," CAGE Online Working Paper Series 486, Competitive Advantage in the Global Economy (CAGE).
    2. Domenico Giannone & Michele Lenza & Giorgio E. Primiceri, 2018. "Economic predictions with big data: the illusion of sparsity," Staff Reports 847, Federal Reserve Bank of New York.
    3. Gert Bijnens & Shyngys Karimov & Jozef Konings, 2023. "Does Automatic Wage Indexation Destroy Jobs? A Machine Learning Approach," De Economist, Springer, vol. 171(1), pages 85-117, March.
    4. Newell, Richard G. & Prest, Brian C. & Sexton, Steven E., 2021. "The GDP-Temperature relationship: Implications for climate change damages," Journal of Environmental Economics and Management, Elsevier, vol. 108(C).
    5. M. Lenza & I. Moutachaker & I. Moutachaker, 2024. "Density forecasts of inflation : a quantile regression forest approach," Documents de Travail de l'Insee - INSEE Working Papers 2024-12, Institut National de la Statistique et des Etudes Economiques.
    6. Rong J. B. Zhu, 2023. "Synthetic Regressing Control Method," Papers 2306.02584, arXiv.org, revised Oct 2023.
    7. Jesus Fernandez-Villaverde, 2021. "Has Machine Learning Rendered Simple Rules Obsolete?," PIER Working Paper Archive 21-008, Penn Institute for Economic Research, Department of Economics, University of Pennsylvania.
    8. Danielsson, Jon & Macrae, Robert & Uthemann, Andreas, 2022. "Artificial intelligence and systemic risk," LSE Research Online Documents on Economics 111601, London School of Economics and Political Science, LSE Library.
    9. Shafiullah Qureshi & Ba Chu & Fanny S. Demers, 2021. "Forecasting Canadian GDP Growth with Machine Learning," Carleton Economic Papers 21-05, Carleton University, Department of Economics.
    10. Susan Athey & Guido Imbens, 2019. "Machine Learning Methods Economists Should Know About," Papers 1903.10075, arXiv.org.
    11. Povilas Lastauskas & Julius Stakénas, 2019. "Does It Matter When Labor Market Reforms Are Implemented? The Role of the Monetary Policy Environment," CESifo Working Paper Series 7844, CESifo.
    12. Hoang, Daniel & Wiegratz, Kevin, 2022. "Machine learning methods in finance: Recent applications and prospects," Working Paper Series in Economics 158, Karlsruhe Institute of Technology (KIT), Department of Economics and Management.
    13. Cerqua, Augusto & Letta, Marco, 2022. "Local inequalities of the COVID-19 crisis," Regional Science and Urban Economics, Elsevier, vol. 92(C).
    14. Duarte, Victor & Duarte, Diogo & Fonseca, Julia & Montecinos, Alexis, 2020. "Benchmarking machine-learning software and hardware for quantitative economics," Journal of Economic Dynamics and Control, Elsevier, vol. 111(C).
    15. Surender Kumar & Madhu Khanna, 2019. "Temperature and production efficiency growth: empirical evidence," Climatic Change, Springer, vol. 156(1), pages 209-229, September.
    16. Jesus Fernandez-Villaverde, 2020. "Simple Rules for a Complex World with Arti?cial Intelligence," PIER Working Paper Archive 20-010, Penn Institute for Economic Research, Department of Economics, University of Pennsylvania.
    17. Cerqua, Augusto & Letta, Marco, 2020. "Local economies amidst the COVID-19 crisis in Italy: a tale of diverging trajectories," MPRA Paper 104404, University Library of Munich, Germany.
    18. Mika Ylinen & Mikko Ranta, 2024. "Employer ratings in social media and firm performance: Evidence from an explainable machine learning approach," Accounting and Finance, Accounting and Finance Association of Australia and New Zealand, vol. 64(1), pages 247-276, March.
    19. Hollingsworth, Alex & Wing, Coady, 2020. "Tactics for design and inference in synthetic control studies: An applied example using high-dimensional data," SocArXiv fc9xt, Center for Open Science.
    20. Viviano, Davide & Bradic, Jelena, 2023. "Synthetic Learner: Model-free inference on treatments over time," Journal of Econometrics, Elsevier, vol. 234(2), pages 691-713.
    21. Gabriel Loumeau & Christian Stettler, 2021. "Fiscal Autonomy and Self-Determination," CESifo Working Paper Series 9445, CESifo.

  35. Susan Athey & Raj Chetty & Guido W. Imbens & Hyunseung Kang, 2019. "The Surrogate Index: Combining Short-Term Proxies to Estimate Long-Term Treatment Effects More Rapidly and Precisely," NBER Working Papers 26463, National Bureau of Economic Research, Inc.

    Cited by:

    1. Elizabeth Ash & William Carrington & Rebecca Heller & Grace Hwang, 2023. "Exploring the Effects of Medicaid During Childhood on the Economy and the Budget: Working Paper 2023-07," Working Papers 59231, Congressional Budget Office.
    2. Dave Donaldson, 2022. "Blending Theory and Data: A Space Odyssey," Journal of Economic Perspectives, American Economic Association, vol. 36(3), pages 185-210, Summer.
    3. Yechan Park & Yuya Sasaki, 2024. "A Bracketing Relationship for Long-Term Policy Evaluation with Combined Experimental and Observational Data," Papers 2401.12050, arXiv.org.
    4. García, Jorge Luis & Heckman, James J., 2022. "Parenting Promotes Social Mobility Within and Across Generations," IZA Discussion Papers 15672, Institute of Labor Economics (IZA).
    5. John List & Ragan Petrie & Anya Samek, 2021. "How Experiments with Children Inform Economics," Artefactual Field Experiments 00729, The Field Experiments Website.
    6. Rosenman Evan T. R. & Owen Art B., 2021. "Designing experiments informed by observational studies," Journal of Causal Inference, De Gruyter, vol. 9(1), pages 147-171, January.
    7. Aysegül Kayaoglu & Ghassan Baliki & Tilman Brück & Melodie Al Daccache & Dorothee Weiffen, 2023. "How to conduct impact evaluations in humanitarian and conflict settings," HiCN Working Papers 387, Households in Conflict Network.
    8. Evan Munro & David Jones & Jennifer Brennan & Roland Nelet & Vahab Mirrokni & Jean Pouget-Abadie, 2023. "Causal Estimation of User Learning in Personalized Systems," Papers 2306.00485, arXiv.org.
    9. Kasy, Maximilian, 2023. "The political economy of AI: Towards democratic control of the means of prediction," INET Oxford Working Papers 2023-06, Institute for New Economic Thinking at the Oxford Martin School, University of Oxford.
    10. Battistin,Erich & De Nadai,Michele & Krishnan,Nandini, 2020. "The Insights and Illusions of Consumption Measurements," Policy Research Working Paper Series 9255, The World Bank.
    11. Pol Campos-Mercade & Armando N. Meier & Stephan Meier & Devin G. Pope & Florian H. Schneider & Erik Wengström, 2024. "Incentives to Vaccinate," NBER Working Papers 32899, National Bureau of Economic Research, Inc.
    12. Barham, Tania & Cadena, Brian C. & Turner, Patrick S, 2023. "Taking a Chance on Workers: Evidence on the Effects and Mechanisms of Subsidized Employment from an RCT," IZA Discussion Papers 16221, Institute of Labor Economics (IZA).
    13. Stefano Caria & Grant Gordon & Maximilian Kasy & Simon Quinn & Soha Shami & Alexander Teytelboym, 2020. "An Adaptive Targeted Field Experiment: Job Search Assistance for Refugees in Jordan," CESifo Working Paper Series 8535, CESifo.
    14. Guido Imbens & Nathan Kallus & Xiaojie Mao & Yuhao Wang, 2022. "Long-term Causal Inference Under Persistent Confounding via Data Combination," Papers 2202.07234, arXiv.org, revised Aug 2024.
    15. Itzik Fadlon & Frederik Plesner Lyngse & Torben Heien Nielsen, 2022. "Early Career Setbacks and Women’s Career-Family Trade-Off," CEBI working paper series 22-06, University of Copenhagen. Department of Economics. The Center for Economic Behavior and Inequality (CEBI).
    16. Zhexiao Lin & Pablo Crespo, 2024. "Variance reduction combining pre-experiment and in-experiment data," Papers 2410.09027, arXiv.org.
    17. Yacoubou Djima, Ismael & Kilic, Talip, 2024. "Attenuating measurement errors in agricultural productivity analysis by combining objective and self-reported survey data," Journal of Development Economics, Elsevier, vol. 168(C).
    18. Germán Reyes, 2023. "Cognitive Endurance, Talent Selection, and the Labor Market Returns to Human Capital," CRC TR 224 Discussion Paper Series crctr224_2023_490, University of Bonn and University of Mannheim, Germany.
    19. Germ'an Reyes, 2023. "Cognitive Endurance, Talent Selection, and the Labor Market Returns to Human Capital," Papers 2301.02575, arXiv.org.
    20. Toru Kitagawa & Jeff Rowley, 2024. "Bandit Algorithms for Policy Learning: Methods, Implementation, and Welfare-performance," Papers 2409.00379, arXiv.org.
    21. Yechan Park & Yuya Sasaki, 2024. "The Informativeness of Combined Experimental and Observational Data under Dynamic Selection," Papers 2403.16177, arXiv.org.
    22. Ron Berman & Elea McDonnell Feit, 2024. "Latent Stratification for Incrementality Experiments," Marketing Science, INFORMS, vol. 43(4), pages 903-917, July.
    23. Mariano Tommasi, 2023. "Latin America and the Caribbean in the first quarter of the 21st century. What should be reformed, what can be reformed, and how to think about it?," Working Papers 170, Universidad de San Andres, Departamento de Economia, revised Jul 2024.
    24. Susan Dynarski & CJ Libassi & Katherine Michelmore & Stephanie Owen, 2021. "Closing the Gap: The Effect of Reducing Complexity and Uncertainty in College Pricing on the Choices of Low-Income Students," American Economic Review, American Economic Association, vol. 111(6), pages 1721-1756, June.
    25. Esposito Acosta,Bruno Nicola & Sautmann,Anja, 2022. "Adaptive Experiments for Policy Choice : Phone Calls for Home Reading in Kenya," Policy Research Working Paper Series 10098, The World Bank.
    26. Arielle Anderer & Hamsa Bastani & John Silberholz, 2022. "Adaptive Clinical Trial Designs with Surrogates: When Should We Bother?," Management Science, INFORMS, vol. 68(3), pages 1982-2002, March.
    27. Xuan Wang & Layla Parast & Larry Han & Lu Tian & Tianxi Cai, 2023. "Robust approach to combining multiple markers to improve surrogacy," Biometrics, The International Biometric Society, vol. 79(2), pages 788-798, June.
    28. Yixin Tang & Yicong Lin & Navdeep S. Sahni, 2023. "Business Policy Experiments using Fractional Factorial Designs: Consumer Retention on DoorDash," Papers 2311.14698, arXiv.org, revised Nov 2023.
    29. Jinglong Zhao, 2024. "Experimental Design For Causal Inference Through An Optimization Lens," Papers 2408.09607, arXiv.org, revised Aug 2024.
    30. Brett R. Gordon & Robert Moakler & Florian Zettelmeyer, 2023. "Predictive Incrementality by Experimentation (PIE) for Ad Measurement," Papers 2304.06828, arXiv.org.
    31. Shan Huang & Chen Wang & Yuan Yuan & Jinglong Zhao & Brocco & Zhang, 2023. "Estimating Effects of Long-Term Treatments," Papers 2308.08152, arXiv.org, revised Dec 2024.
    32. Ernesto Dal Bó & Frederico Finan & Nicholas Y. Li & Laura Schechter, 2021. "Information Technology and Government Decentralization: Experimental Evidence From Paraguay," Econometrica, Econometric Society, vol. 89(2), pages 677-701, March.

  36. Susan Athey & Guido Imbens & Jonas Metzger & Evan Munro, 2019. "Using Wasserstein Generative Adversarial Networks for the Design of Monte Carlo Simulations," Papers 1909.02210, arXiv.org, revised Jul 2020.

    Cited by:

    1. Max H. Farrell & Tengyuan Liang & Sanjog Misra, 2018. "Deep Neural Networks for Estimation and Inference," Papers 1809.09953, arXiv.org, revised Sep 2019.
    2. Tengyuan Liang, 2020. "How Well Generative Adversarial Networks Learn Distributions," Working Papers 2020-154, Becker Friedman Institute for Research In Economics.
    3. Jiafeng Chen & Xiaohong Chen & Elie Tamer, 2021. "Efficient Estimation in NPIV Models: A Comparison of Various Neural Networks-Based Estimators," Papers 2110.06763, arXiv.org, revised Oct 2022.
    4. Michael Pollmann, 2020. "Causal Inference for Spatial Treatments," Papers 2011.00373, arXiv.org, revised Jan 2023.
    5. Jiaying Gu & Roger Koenker, 2023. "Invidious Comparisons: Ranking and Selection as Compound Decisions," Econometrica, Econometric Society, vol. 91(1), pages 1-41, January.
    6. Yves-C'edric Bauwelinckx & Jan Dhaene & Tim Verdonck & Milan van den Heuvel, 2023. "On the causality-preservation capabilities of generative modelling," Papers 2301.01109, arXiv.org.
    7. Nir Billfeld & Moshe Kim, 2024. "Context-dependent Causality (the Non-Nonotonic Case)," Papers 2404.05021, arXiv.org.
    8. Jesus Fernandez-Villaverde, 2021. "Has Machine Learning Rendered Simple Rules Obsolete?," PIER Working Paper Archive 21-008, Penn Institute for Economic Research, Department of Economics, University of Pennsylvania.
    9. Christian M. Dahl & Torben S. D. Johansen & Emil N. S{o}rensen & Christian E. Westermann & Simon F. Wittrock, 2021. "Applications of Machine Learning in Document Digitisation," Papers 2102.03239, arXiv.org.
    10. Allison Koenecke & Hal Varian, 2020. "Synthetic Data Generation for Economists," Papers 2011.01374, arXiv.org, revised Nov 2020.
    11. Christian M. Dahl & Emil N. S{o}rensen, 2021. "Time Series (re)sampling using Generative Adversarial Networks," Papers 2102.00208, arXiv.org.
    12. Jiaying Gu & Roger Koenker, 2020. "Invidious Comparisons: Ranking and Selection as Compound Decisions," Papers 2012.12550, arXiv.org, revised Sep 2021.
    13. Jonas Metzger, 2022. "Adversarial Estimators," Papers 2204.10495, arXiv.org, revised Jun 2022.
    14. Jesus Fernandez-Villaverde, 2020. "Simple Rules for a Complex World with Arti?cial Intelligence," PIER Working Paper Archive 20-010, Penn Institute for Economic Research, Department of Economics, University of Pennsylvania.
    15. Chen, Jiafeng & Chen, Xiaohong & Tamer, Elie, 2023. "Efficient estimation of average derivatives in NPIV models: Simulation comparisons of neural network estimators," Journal of Econometrics, Elsevier, vol. 235(2), pages 1848-1875.
    16. Jiafeng Chen & Xiaohong Chen & Elie Tamer, 2021. "Efficient Estimation of Average Derivatives in NPIV Models: Simulation Comparisons of Neural Network Estimators," Cowles Foundation Discussion Papers 2319, Cowles Foundation for Research in Economics, Yale University.
    17. Kevin Han & Han Wu & Linjia Wu & Yu Shi & Canyao Liu, 2024. "Estimating Treatment Effects Using Observational Data and Experimental Data with Non-Overlapping Support," Econometrics, MDPI, vol. 12(3), pages 1-11, September.

  37. Zhengyuan Zhou & Susan Athey & Stefan Wager, 2018. "Offline Multi-Action Policy Learning: Generalization and Optimization," Papers 1810.04778, arXiv.org, revised Nov 2018.

    Cited by:

    1. Goller, Daniel & Harrer, Tamara & Lechner, Michael & Wolff, Joachim, 2021. "Active labour market policies for the long-term unemployed: New evidence from causal machine learning," Economics Working Paper Series 2108, University of St. Gallen, School of Economics and Political Science.
    2. Cockx, Bart & Lechner, Michael & Bollens, Joost, 2020. "Priority to unemployed immigrants? A causal machine learning evaluation of training in Belgium," ROA Research Memorandum 006, Maastricht University, Research Centre for Education and the Labour Market (ROA).
    3. Michael C. Knaus, 2020. "Double Machine Learning based Program Evaluation under Unconfoundedness," Papers 2003.03191, arXiv.org, revised Jun 2022.
    4. Shosei Sakaguchi, 2021. "Estimation of Optimal Dynamic Treatment Assignment Rules under Policy Constraints," Papers 2106.05031, arXiv.org, revised Aug 2024.
    5. Weibin Mo & Yufeng Liu, 2022. "Efficient learning of optimal individualized treatment rules for heteroscedastic or misspecified treatment‐free effect models," Journal of the Royal Statistical Society Series B, Royal Statistical Society, vol. 84(2), pages 440-472, April.
    6. Rob Donnelly & Francisco R. Ruiz & David Blei & Susan Athey, 2019. "Counterfactual Inference for Consumer Choice Across Many Product Categories," Papers 1906.02635, arXiv.org, revised Aug 2023.
    7. Huber, Martin, 2019. "An introduction to flexible methods for policy evaluation," FSES Working Papers 504, Faculty of Economics and Social Sciences, University of Freiburg/Fribourg Switzerland.
    8. Garbero, Alessandra & Sakos, Grayson & Cerulli, Giovanni, 2023. "Towards data-driven project design: Providing optimal treatment rules for development projects," Socio-Economic Planning Sciences, Elsevier, vol. 89(C).
    9. Susan Athey & Raj Chetty & Guido Imbens, 2020. "Combining Experimental and Observational Data to Estimate Treatment Effects on Long Term Outcomes," Papers 2006.09676, arXiv.org.
    10. Yi Zhang & Eli Ben-Michael & Kosuke Imai, 2022. "Safe Policy Learning under Regression Discontinuity Designs with Multiple Cutoffs," Papers 2208.13323, arXiv.org, revised Sep 2024.
    11. Tobias Cagala & Ulrich Glogowsky & Johannes Rincke & Anthony Strittmatter, 2021. "Optimal Targeting in Fundraising: A Machine-Learning Approach," CESifo Working Paper Series 9037, CESifo.
    12. Masahiro Kato, 2020. "Confidence Interval for Off-Policy Evaluation from Dependent Samples via Bandit Algorithm: Approach from Standardized Martingales," Papers 2006.06982, arXiv.org.
    13. Toru Kitagawa & Guanyi Wang, 2020. "Who Should Get Vaccinated? Individualized Allocation of Vaccines Over SIR Network," Papers 2012.04055, arXiv.org, revised Jul 2021.
    14. Susan Athey & Guido Imbens, 2019. "Machine Learning Methods Economists Should Know About," Papers 1903.10075, arXiv.org.
    15. Kitagawa, Toru & Wang, Guanyi, 2023. "Who should get vaccinated? Individualized allocation of vaccines over SIR network," Journal of Econometrics, Elsevier, vol. 232(1), pages 109-131.
    16. Ruohan Zhan & Zhimei Ren & Susan Athey & Zhengyuan Zhou, 2024. "Policy Learning with Adaptively Collected Data," Management Science, INFORMS, vol. 70(8), pages 5270-5297, August.
    17. Toru Kitagawa & Guanyi Wang, 2020. "Who should get vaccinated? Individualized allocation of vaccines over SIR network," CeMMAP working papers CWP59/20, Centre for Microdata Methods and Practice, Institute for Fiscal Studies.
    18. Tobias Cagala & Ulrich Glogowsky & Johannes Rincke & Anthony Strittmatter, 2021. "Optimal Targeting in Fundraising: A Causal Machine-Learning Approach," Papers 2103.10251, arXiv.org, revised Sep 2021.
    19. Zhaonan Qu & Isabella Qian & Zhengyuan Zhou, 2020. "Interpretable Personalization via Policy Learning with Linear Decision Boundaries," Papers 2003.07545, arXiv.org, revised Nov 2022.
    20. Danielle Li & Lindsey Raymond & Peter Bergman, 2024. "Hiring as Exploration," Papers 2411.03616, arXiv.org.
    21. Jann Spiess & Vasilis Syrgkanis & Victor Yaneng Wang, 2021. "Finding Subgroups with Significant Treatment Effects," Papers 2103.07066, arXiv.org, revised Dec 2023.
    22. Davide Viviano, 2019. "Policy Targeting under Network Interference," Papers 1906.10258, arXiv.org, revised Apr 2024.

  38. Susan Athey & Guido Imbens, 2018. "Design-based Analysis in Difference-In-Differences Settings with Staggered Adoption," Papers 1808.05293, arXiv.org, revised Sep 2018.

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    1. Upward, Richard & Wright, Peter, 2024. "Income shocks, political support and voting behaviour," IWH Discussion Papers 1/2024, Halle Institute for Economic Research (IWH).
    2. Poulos, Jason & Albanese, Andrea & Mercatanti, Andrea & Li, Fan, 2021. "Retrospective Causal Inference via Matrix Completion, with an Evaluation of the Effect of European Integration on Cross-Border Employment," IZA Discussion Papers 14472, Institute of Labor Economics (IZA).
    3. Omar Isaac Asensio & Olga Churkina & Becky D. Rafter & Kira E. O’Hare, 2024. "Housing policies and energy efficiency spillovers in low and moderate income communities," Nature Sustainability, Nature, vol. 7(5), pages 590-601, May.
    4. Sylvain Chareyron & Florence Goffette-Nagot & Lucie Letrouit, 2020. "Impacts of a French Urban Renewal Program on Local Housing Markets," Working Papers 2030, Groupe d'Analyse et de Théorie Economique Lyon St-Étienne (GATE Lyon St-Étienne), Université de Lyon.
    5. Coraggio, Luca & Pagano, Marco & Scognamiglio, Annalisa & TÃ¥g, Joacim, 2022. "JAQ of All Trades: Job Mismatch, Firm Productivity and Managerial Quality," CEPR Discussion Papers 17167, C.E.P.R. Discussion Papers.
    6. Brzezinski, Adam & Deiana, Guido & Kecht, Valentin & Van Dijcke, David, 2020. "The COVID-19 Pandemic: Government vs. Community Action Across the United States," INET Oxford Working Papers 2020-06, Institute for New Economic Thinking at the Oxford Martin School, University of Oxford.
    7. Ruonan Xu, 2023. "Difference-in-Differences with Interference," Papers 2306.12003, arXiv.org, revised May 2024.
    8. Branco, Catarina & Dohse, Dirk & dos Santos, João Pereira & Tavares, José, 2022. "Nobody's gonna slow me down? The effects of a transportation cost shock on firm performance and behavior," Ruhr Economic Papers 949, RWI - Leibniz-Institut für Wirtschaftsforschung, Ruhr-University Bochum, TU Dortmund University, University of Duisburg-Essen.
    9. Silliman, Mikko & Willén, Alexander, 2024. "Worker Power, Immigrant Sorting, and Firm Dynamics," IZA Discussion Papers 17208, Institute of Labor Economics (IZA).
    10. Cl'ement de Chaisemartin & Xavier D'Haultf{oe}uille, 2018. "Two-way fixed effects estimators with heterogeneous treatment effects," Papers 1803.08807, arXiv.org, revised Mar 2020.
    11. Gonçalves, S. & Rodrigues, T.P. & Chagas, A.L.S., 2020. "The impact of wind power on the Brazilian labor market," Renewable and Sustainable Energy Reviews, Elsevier, vol. 128(C).
    12. Guanyu Lu & Taisuke Sadayuki & Toshi H Arimura, 2023. "Does Emissions Trading Scheme Induce Innovation and Carbon Leakage? Evidence from Japan," Working Papers 2217, Waseda University, Faculty of Political Science and Economics.
    13. Zakaria Sorgho, 2024. "US suspension policy from the African Growth and Opportunity Act (AGOA): An estimation of the missing exports from sub‐Saharan Africa," South African Journal of Economics, Economic Society of South Africa, vol. 92(4), pages 524-548, December.
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    15. Sonia Bhalotra & Diogo G. C. Britto & Paolo Pinotti & Breno Sampaio, 2021. "Job Displacement, Unemployment Benefits and Domestic Violence," CESifo Working Paper Series 9186, CESifo.
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    30. Giulia Bettin & Isabella Giorgetti & Stefano Staffolani, 2024. "The impact of Covid-19 lockdown on the gender gap in the Italian labour market," Review of Economics of the Household, Springer, vol. 22(1), pages 1-33, March.
    31. Dmitry Arkhangelsky & Susan Athey & David A. Hirshberg & Guido W. Imbens & Stefan Wager, 2019. "Synthetic Difference in Differences," Working Papers wp2019_1907, CEMFI.
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    33. Paolo Castelnuovo & Stefano Clo & Massimo Florio, 2021. "Space policy drives innovation through technological procurement: evidence from Italy," Working Papers - Economics wp2021_08.rdf, Universita' degli Studi di Firenze, Dipartimento di Scienze per l'Economia e l'Impresa.
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    39. Anja Rösner & Justus Haucap & Ulrich Heimeshoff, 2020. "The Impact of Consumer Protection in the Digital Age: Evidence from the European Union," CESifo Working Paper Series 8081, CESifo.
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    41. Jiafeng Chen & Edward Glaeser & David Wessel, 2022. "JUE Insight: The (Non-)Effect of Opportunity Zones on Housing Prices," Papers 2204.06967, arXiv.org.
    42. Stefano Falcone, 2022. "Do Evictions Increase Crime? Evidence from Nuisance Ordinances in Ohio," Working Papers 1359, Barcelona School of Economics.
    43. Fernando Díaz & Pablo A Henríquez, 2021. "Social sentiment segregation: Evidence from Twitter and Google Trends in Chile during the COVID-19 dynamic quarantine strategy," PLOS ONE, Public Library of Science, vol. 16(7), pages 1-29, July.
    44. Jonathan Roth & Pedro H. C. Sant’Anna, 2023. "Efficient Estimation for Staggered Rollout Designs," Journal of Political Economy Microeconomics, University of Chicago Press, vol. 1(4), pages 669-709.
    45. Coile, Courtney & Rossin-Slater, Maya & Su, Amanda, 2022. "The Impact of Paid Family Leave on Families with Health Shocks," IZA Discussion Papers 15783, Institute of Labor Economics (IZA).
    46. Shin, Su Hyun & Ji, Hyunjung & Lim, HanNa, 2021. "Heterogeneity in preventive behaviors during COVID-19: Health risk, economic insecurity, and slanted information," Social Science & Medicine, Elsevier, vol. 278(C).
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    48. Don Fullerton & Chi L. Ta, 2022. "What Determines Effectiveness of Renewable Energy Standards? General Equilibrium Analytical Model and Empirical Analysis," CESifo Working Paper Series 9565, CESifo.
    49. Florian Gunsilius, 2020. "Distributional synthetic controls," Papers 2001.06118, arXiv.org, revised Dec 2021.
    50. Susan Athey & Mohsen Bayati & Nikolay Doudchenko & Guido Imbens & Khashayar Khosravi, 2018. "Matrix Completion Methods for Causal Panel Data Models," NBER Working Papers 25132, National Bureau of Economic Research, Inc.
    51. Natali, Ilaria, 2024. "Economic Opportunity and Opioid Regulation: the Case of Codeine in France," TSE Working Papers 24-1563, Toulouse School of Economics (TSE).
    52. Timo Schenk, 2023. "Time-Weighted Difference-in-Differences: Accounting for Common Factors in Short T Panels," Tinbergen Institute Discussion Papers 23-004/III, Tinbergen Institute.
    53. Silvia Albrizio & Iván Kataryniuk & Luis Molina & Jan Schäfer, 2021. "ECB euro liquidity lines," Working Papers 2125, Banco de España.
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    56. Tal Gross & Raymond Kluender & Feng Liu & Matthew J. Notowidigdo & Jialan Wang, 2020. "The Economic Consequences of Bankruptcy Reform," Working Papers 2020-164, Becker Friedman Institute for Research In Economics.
    57. Arold, Benjamin W. & Woessmann, Ludger & Zierow, Larissa, 2022. "Can Schools Change Religious Attitudes? Evidence from German State Reforms of Compulsory Religious Education," Rationality and Competition Discussion Paper Series 309, CRC TRR 190 Rationality and Competition.
    58. Britto, Diogo & Melo, Caique & Sampaio, Breno, 2022. "The Kids Aren't Alright: Parental Job Loss and Children's Outcomes Within and Beyond Schools," CEPR Discussion Papers 17562, C.E.P.R. Discussion Papers.
    59. Britto, Diogo & Rocha, Roberto Hsu & Pinotti, Paolo & Sampaio, Breno, 2024. "Small Children, Big Problems: Childbirth and Crime," IZA Discussion Papers 16910, Institute of Labor Economics (IZA).
    60. Klauber, Hannah & Holub, Felix & Koch, Nicolas & Pestel, Nico & Ritter, Nolan & Rohlf, Alexander, 2021. "Killing Prescriptions Softly: Low Emission Zones and Child Health from Birth to School," IZA Discussion Papers 14376, Institute of Labor Economics (IZA).
    61. Ahn, Soojung & Steinbach, Sandro, 2022. "COVID-19 Trade Actions and Their Impact on the Agricultural and Food Sector," 2023 Allied Social Sciences Association (ASSA) Annual Meeting, January 6-8, 2023, New Orleans, Louisiana 316789, Agricultural and Applied Economics Association.
    62. Abrahamsson, Sara & Bütikofer, Aline & Karbownik , Krzysztof, 2023. "Swallow This: Childhood and Adolescent Exposure to Fast Food Restaurants, BMI, and Cognitive Ability," Discussion Paper Series in Economics 7/2023, Norwegian School of Economics, Department of Economics.
    63. Francesco Vidoli & Fabio Quintiliani & Giorgio Ivaldi & Giorgia Marinuzzi & Francesco Porcelli & Walter Tortorella, 2024. "Do municipal unions improve cost efficiency for the social function? A quasi‐experimental endogenous stochastic frontier approach," Journal of Regional Science, Wiley Blackwell, vol. 64(2), pages 308-332, March.
    64. Leah Platt Boustan & Robert A. Margo & Matthew M. Miller & James M. Reeves & Justin P. Steil, 2019. "Does Condominium Development Lead to Gentrification?," NBER Working Papers 26170, National Bureau of Economic Research, Inc.
    65. Lähdemäki, Sakari, 2024. "Privatization in competitive environment: Evidence from Finland's manufacturing sector," Journal of Economic Behavior & Organization, Elsevier, vol. 220(C), pages 402-421.
    66. Romain Baeriswyl & Alex Oktay & Marc-Antoine Ramelet, 2023. "Exchange rate shocks and equity prices: the role of currency denomination," Working Papers 2023-05, Swiss National Bank.
    67. Marina Dias & Demian Pouzo, 2021. "Inference for multi-valued heterogeneous treatment effects when the number of treated units is small," Papers 2105.10965, arXiv.org.
    68. Andrea Berlanda & Matteo Cervellati & Elena Esposito & Dominic Rohner & Uwe Sunde, 2022. "Medication Against Conflict," HiCN Working Papers 367, Households in Conflict Network.
    69. Romina Tome & Marcos A Rangel & Christina M Gibson-Davis & Laura Bellows, 2021. "Heightened immigration enforcement impacts US citizens’ birth outcomes: Evidence from early ICE interventions in North Carolina," PLOS ONE, Public Library of Science, vol. 16(2), pages 1-15, February.
    70. Christian Bredemeier & Jan Gravert & Falko Juessen, 2023. "Accounting for Limited Commitment between Spouses when Estimating Labor-Supply," Review of Economic Dynamics, Elsevier for the Society for Economic Dynamics, vol. 51, pages 547-578, December.
    71. Clément de Chaisemartin & Xavier D'Haultfoeuille, 2022. "Two-Way Fixed Effects and Differences-in-Differences with Heterogeneous Treatment Effects: A Survey," NBER Working Papers 29691, National Bureau of Economic Research, Inc.
    72. Kabir Dasgupta & Alexander Plum, 2023. "Termination of SNAP Emergency Allotments, Food Sufficiency, and Economic Hardships," Finance and Economics Discussion Series 2023-046, Board of Governors of the Federal Reserve System (U.S.).
    73. Huber, Martin, 2019. "An introduction to flexible methods for policy evaluation," FSES Working Papers 504, Faculty of Economics and Social Sciences, University of Freiburg/Fribourg Switzerland.
    74. Schmidheiny, Kurt & Siegloch, Sebastian, 2019. "On Event Studies and Distributed-Lags in Two-Way Fixed Effects Models: Identification, Equivalence, and Generalization," CEPR Discussion Papers 13477, C.E.P.R. Discussion Papers.
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    76. Sho Miyaji, 2024. "Instrumented Difference-in-Differences with Heterogeneous Treatment Effects," Discussion Paper Series DP2024-22, Research Institute for Economics & Business Administration, Kobe University.
    77. Christine Benesch & Rino L. Heim & Mark Schelker & Lukas D. Schmid, 2021. "Do Voting Advice Applications Change Political Behavior?," CESifo Working Paper Series 8868, CESifo.
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    Cited by:

    1. Brett R Gordon & Kinshuk Jerath & Zsolt Katona & Sridhar Narayanan & Jiwoong Shin & Kenneth C Wilbur, 2019. "Inefficiencies in Digital Advertising Markets," Papers 1912.09012, arXiv.org, revised Feb 2020.
    2. Yuting Xiao & Buwajian Abula, 2024. "Examining the Impact of Digital Economy on Agricultural Trade Efficiency in RCEP Region: A Perspective Based on Spatial Spillover Effects," Journal of the Knowledge Economy, Springer;Portland International Center for Management of Engineering and Technology (PICMET), vol. 15(3), pages 9907-9934, September.
    3. Gružauskas Valentas & Čalnerytė Dalia & Fyleris Tautvydas & Kriščiūnas Andrius, 2021. "Application of Multivariate Time Series Cluster Analysis to Regional Socioeconomic Indicators of Municipalities," Real Estate Management and Valuation, Sciendo, vol. 29(3), pages 39-51, September.
    4. John J. Horton & Richard J. Zeckhauser, 2016. "Owning, Using and Renting: Some Simple Economics of the "Sharing Economy"," NBER Working Papers 22029, National Bureau of Economic Research, Inc.
    5. Stefan Wager & Kuang Xu, 2019. "Experimenting in Equilibrium," Papers 1903.02124, arXiv.org, revised Jun 2020.
    6. Thomas V Maher & Charles Seguin & Yongjun Zhang & Andrew P Davis, 2020. "Social scientists’ testimony before Congress in the United States between 1946-2016, trends from a new dataset," PLOS ONE, Public Library of Science, vol. 15(3), pages 1-13, March.
    7. Gary Charness & Brian Jabarian & John List, 2023. "Generation Next: Experimentation with AI," Artefactual Field Experiments 00777, The Field Experiments Website.
    8. Greiff, Matthias & Paetzel, Fabian, 2020. "Information about average evaluations spurs cooperation: An experiment on noisy reputation systems," Journal of Economic Behavior & Organization, Elsevier, vol. 180(C), pages 334-356.
    9. Nicolas Petit & David J Teece, 2021. "Innovating Big Tech firms and competition policy: favoring dynamic over static competition [Patterns of industrial innovation]," Industrial and Corporate Change, Oxford University Press and the Associazione ICC, vol. 30(5), pages 1168-1198.
    10. Valentiny, Pál, 2024. "Mennyire innovatívak a Big Tech vállalatok? [How innovative are Big Tech companies?]," Közgazdasági Szemle (Economic Review - monthly of the Hungarian Academy of Sciences), Közgazdasági Szemle Alapítvány (Economic Review Foundation), vol. 0(1), pages 22-56.
    11. Boto-García, David & Leoni, Veronica, 2024. "Noisy signals: Does rating volatility depend on the length of the consumption span?," Economic Modelling, Elsevier, vol. 139(C).
    12. Bessen, James & Impink, Stephen Michael & Reichensperger, Lydia & Seamans, Robert, 2022. "The role of data for AI startup growth," Research Policy, Elsevier, vol. 51(5).
    13. Krügel, Jan Philipp & Paetzel, Fabian, 2024. "The impact of fraud on reputation systems," Games and Economic Behavior, Elsevier, vol. 144(C), pages 329-354.
    14. Michael Lechner, 2023. "Causal Machine Learning and its use for public policy," Swiss Journal of Economics and Statistics, Springer;Swiss Society of Economics and Statistics, vol. 159(1), pages 1-15, December.
    15. Kuroki, Masanori, 2021. "Using Python and Google Colab to teach undergraduate microeconomic theory," International Review of Economics Education, Elsevier, vol. 38(C).
    16. Rickard Nyman & Paul Ormerod, 2020. "Understanding the Great Recession Using Machine Learning Algorithms," Papers 2001.02115, arXiv.org.
    17. Larin, Sergey & Khrustalev, Evgeny & Ermakova, Yasmina, 2023. "Characteristics of markets for the creation of innovative products and their impact on the mechanisms of interaction between the subjects of the innovation infrastructure," MPRA Paper 119340, University Library of Munich, Germany, revised 28 Apr 2023.
    18. Abraham K. Song, 2019. "The Digital Entrepreneurial Ecosystem—a critique and reconfiguration," Small Business Economics, Springer, vol. 53(3), pages 569-590, October.
    19. Stefan Wager & Kuang Xu, 2021. "Experimenting in Equilibrium," Management Science, INFORMS, vol. 67(11), pages 6694-6715, November.
    20. Michael G Jacobides & Ioannis Lianos, 2021. "Regulating platforms and ecosystems: an introduction [Ecosystem as structure: an actionable construct for strategy]," Industrial and Corporate Change, Oxford University Press and the Associazione ICC, vol. 30(5), pages 1131-1142.
    21. Gallin, Joshua & Molloy, Raven & Nielsen, Eric & Smith, Paul & Sommer, Kamila, 2021. "Measuring aggregate housing wealth: New insights from machine learning ☆," Journal of Housing Economics, Elsevier, vol. 51(C).
    22. Krügel, Jan Philipp & Paetzel, Fabian, 2021. "The Impact of Fake Reviews on Reputation Systems and Efficiency," VfS Annual Conference 2021 (Virtual Conference): Climate Economics 242415, Verein für Socialpolitik / German Economic Association.
    23. Deshpande, Advait, 2020. "The potential influence of machine learning and data science on the future of economics: Overview of highly-cited research," SocArXiv 9nh8g, Center for Open Science.
    24. Jacobides, Michael G. & Cennamo, Carmelo & Gawer, Annabelle, 2024. "Externalities and complementarities in platforms and ecosystems: From structural solutions to endogenous failures," Research Policy, Elsevier, vol. 53(1).

  40. Rina Friedberg & Julie Tibshirani & Susan Athey & Stefan Wager, 2018. "Local Linear Forests," Papers 1807.11408, arXiv.org, revised Sep 2020.

    Cited by:

    1. Guihua Wang & Jun Li & Wallace J. Hopp, 2022. "An Instrumental Variable Forest Approach for Detecting Heterogeneous Treatment Effects in Observational Studies," Management Science, INFORMS, vol. 68(5), pages 3399-3418, May.
    2. Andrea A. Naghi & Eoghan O'Neill & Martina Danielova Zaharieva, 2024. "The benefits of forecasting inflation with machine learning: New evidence," Journal of Applied Econometrics, John Wiley & Sons, Ltd., vol. 39(7), pages 1321-1331, November.
    3. Michael Lechner & Jana Mareckova, 2022. "Modified Causal Forest," Papers 2209.03744, arXiv.org.
    4. Sandrine Mesplé-Somps & Björn Nilsson, 2023. "Role models, aspirations and desire to migrate," Post-Print hal-04163958, HAL.
    5. Zhai Jian & James Robert & Prokhorov Artem, 2022. "Technical and allocative inefficiency in production systems: a vine copula approach," Dependence Modeling, De Gruyter, vol. 10(1), pages 145-158, January.
    6. Richard Schnorrenberger & Aishameriane Schmidt & Guilherme Valle Moura, 2024. "Harnessing Machine Learning for Real-Time Inflation Nowcasting," Working Papers 806, DNB.
    7. 'Agoston Reguly, 2021. "Heterogeneous Treatment Effects in Regression Discontinuity Designs," Papers 2106.11640, arXiv.org, revised Oct 2021.
    8. Peter Mueller & Fernando Andrés Quintana & Garritt L. Page, 2024. "Regression with Variable Dimension Covariates," Sankhya A: The Indian Journal of Statistics, Springer;Indian Statistical Institute, vol. 86(1), pages 185-198, November.
    9. Philippe Goulet Coulombe, 2024. "The macroeconomy as a random forest," Journal of Applied Econometrics, John Wiley & Sons, Ltd., vol. 39(3), pages 401-421, April.
    10. Brunori, Paolo & Hufe, Paul & Mahler, Daniel Gerszon, 2021. "The Roots of Inequality: Estimating Inequality of Opportunity from Regression Trees and Forests," IZA Discussion Papers 14689, Institute of Labor Economics (IZA).
    11. Johann Pfitzinger, 2021. "An Interpretable Neural Network for Parameter Inference," Papers 2106.05536, arXiv.org.

  41. Kuang, Kun & Xiong, Ruoxuan & Cui, Peng & Athey, Susan & Li, Bo, 2018. "Stable Predictions across Unknown Environments," Research Papers 3695, Stanford University, Graduate School of Business.

    Cited by:

    1. Liu, Zhi & Zheng, Xiao-Xue & Li, Deng-Feng & Liao, Chen-Nan & Sheu, Jiuh-Biing, 2021. "A novel cooperative game-based method to coordinate a sustainable supply chain under psychological uncertainty in fairness concerns," Transportation Research Part E: Logistics and Transportation Review, Elsevier, vol. 147(C).
    2. Qiang Liu & Yingtao Luo & Shu Wu & Zhen Zhang & Xiangnan Yue & Hong Jin & Liang Wang, 2022. "RMT-Net: Reject-aware Multi-Task Network for Modeling Missing-not-at-random Data in Financial Credit Scoring," Papers 2206.00568, arXiv.org.
    3. Michael Gechter & Keisuke Hirano & Jean Lee & Mahreen Mahmud & Orville Mondal & Jonathan Morduch & Saravana Ravindran & Abu S. Shonchoy, 2024. "Selecting Experimental Sites for External Validity," Papers 2405.13241, arXiv.org.

  42. Susan Athey & David Blei & Robert Donnelly & Francisco Ruiz & Tobias Schmidt, 2018. "Estimating Heterogeneous Consumer Preferences for Restaurants and Travel Time Using Mobile Location Data," Papers 1801.07826, arXiv.org.

    Cited by:

    1. J. Daniel Aromí & M. Paula Bonel & Julián Cristiá & Martín Llada, 2020. "Socio-economic status and mobility during the COVID-19 pandemic: An analysis of large Latin American urban areas," Asociación Argentina de Economía Política: Working Papers 4307, Asociación Argentina de Economía Política.
    2. Panle Jia Barwick & Yanyan Liu & Eleonora Patacchini & Qi Wu, 2023. "Information, Mobile Communication, and Referral Effects," American Economic Review, American Economic Association, vol. 113(5), pages 1170-1207, May.
    3. Gaubert, Cécile & Couture, Victor & Handbury, Jessie & Hurst, Erik, 2020. "Income Growth and the Distributional Effects of Urban Spatial Sorting," CEPR Discussion Papers 14350, C.E.P.R. Discussion Papers.
    4. Michael Pollmann, 2020. "Causal Inference for Spatial Treatments," Papers 2011.00373, arXiv.org, revised Jan 2023.
    5. Krueger, Rico & Bierlaire, Michel & Daziano, Ricardo A. & Rashidi, Taha H. & Bansal, Prateek, 2021. "Evaluating the predictive abilities of mixed logit models with unobserved inter- and intra-individual heterogeneity," Journal of choice modelling, Elsevier, vol. 41(C).
    6. Conlin, Michael & Dickert-Conlin, Stacy & Harris-Lagoudakis, Katherine, 2024. "Establishment level information as proxies for demand, congestion and social interaction," Economics Letters, Elsevier, vol. 241(C).
    7. Rob Donnelly & Francisco R. Ruiz & David Blei & Susan Athey, 2019. "Counterfactual Inference for Consumer Choice Across Many Product Categories," Papers 1906.02635, arXiv.org, revised Aug 2023.
    8. Jason Greenberg & Daniel B. Sands & Gino Cattani & Joseph Porac, 2024. "Rating systems and increased heterogeneity in firm performance: Evidence from the New York City Restaurant Industry, 1994–2013," Strategic Management Journal, Wiley Blackwell, vol. 45(1), pages 36-65, January.
    9. Gregory Faletto, 2023. "Fused Extended Two-Way Fixed Effects for Difference-in-Differences With Staggered Adoptions," Papers 2312.05985, arXiv.org, revised Oct 2024.
    10. Badruddoza, Syed & Amin, Modhurima & McCluskey, Jill, 2019. "Assessing the Importance of an Attribute in a Demand SystemStructural Model versus Machine Learning," Working Papers 2019-5, School of Economic Sciences, Washington State University.
    11. Tianyu Du & Ayush Kanodia & Susan Athey, 2023. "Torch-Choice: A PyTorch Package for Large-Scale Choice Modelling with Python," Papers 2304.01906, arXiv.org, revised Jul 2023.
    12. Tatiana de Macedo Nogueira Lima, 2022. "Documento de Trabalho 03/2022 - Aprendizado de máquina e antitruste," Documentos de Trabalho 2022030, Conselho Administrativo de Defesa Econômica (Cade), Departamento de Estudos Econômicos.
    13. Xie, Lusi & Adamowicz, Wiktor & Lloyd-Smith, Patrick, 2023. "Spatial and temporal responses to incentives: An application to wildlife disease management," Journal of Environmental Economics and Management, Elsevier, vol. 117(C).
    14. Evan Munro & Serena Ng, 2022. "Latent Dirichlet Analysis of Categorical Survey Responses," Journal of Business & Economic Statistics, Taylor & Francis Journals, vol. 40(1), pages 256-271, January.
    15. Gabriel E. Kreindler & Yuhei Miyauchi, 2019. "Measuring Commuting and Economic Activity inside Cities with Cell Phone Records," Boston University - Department of Economics - Working Papers Series WP2020-006, Boston University - Department of Economics, revised Apr 2020.
    16. Federica Daniele & Mariona Segu & David Bounie & Youssouf Camara, 2022. "Bike-friendly cities: an opportunity for local businesses? Evidence from the city of Paris," THEMA Working Papers 2022-09, THEMA (THéorie Economique, Modélisation et Applications), Université de Cergy-Pontoise.

  43. Susan Athey & Stefan Wager, 2017. "Policy Learning with Observational Data," Papers 1702.02896, arXiv.org, revised Sep 2020.

    Cited by:

    1. Kock, Anders Bredahl & Preinerstorfer, David & Veliyev, Bezirgen, 2023. "Treatment recommendation with distributional targets," Journal of Econometrics, Elsevier, vol. 234(2), pages 624-646.
    2. Henrika Langen & Martin Huber, 2022. "How causal machine learning can leverage marketing strategies: Assessing and improving the performance of a coupon campaign," Papers 2204.10820, arXiv.org, revised Jun 2022.
    3. Carlos Fernández-Loría & Foster Provost, 2022. "Causal Decision Making and Causal Effect Estimation Are Not the Same…and Why It Matters," INFORMS Joural on Data Science, INFORMS, vol. 1(1), pages 4-16, April.
    4. Combes, Pierre-Philippe & Gobillon, Laurent & Zylberberg, Yanos, 2022. "Urban economics in a historical perspective: Recovering data with machine learning," Regional Science and Urban Economics, Elsevier, vol. 94(C).
    5. Daniel Bjorkegren & Joshua E. Blumenstock & Samsun Knight, 2022. "(Machine) Learning What Policies Value," Papers 2206.00727, arXiv.org.
    6. Andrii Babii & Xi Chen & Eric Ghysels & Rohit Kumar, 2020. "Binary Choice with Asymmetric Loss in a Data-Rich Environment: Theory and an Application to Racial Justice," Papers 2010.08463, arXiv.org, revised Nov 2021.
    7. Ruohan Zhan & Zhimei Ren & Susan Athey & Zhengyuan Zhou, 2024. "Policy Learning with Adaptively Collected Data," Management Science, INFORMS, vol. 70(8), pages 5270-5297, August.
    8. Takanori Ida & Takunori Ishihara & Koichiro Ito & Daido Kido & Toru Kitagawa & Shosei Sakaguchi & Shusaku Sasaki, 2021. "Paternalism, Autonomy, or Both? Experimental Evidence from Energy Saving Programs," Papers 2112.09850, arXiv.org.
    9. Abhimanyu Mukerji & Sushant More & Ashwin Viswanathan Kannan & Lakshmi Ravi & Hua Chen & Naman Kohli & Chris Khawand & Dinesh Mandalapu, 2024. "Valuing an Engagement Surface using a Large Scale Dynamic Causal Model," Papers 2408.11967, arXiv.org.
    10. Christopher Adjaho & Timothy Christensen, 2022. "Externally Valid Policy Choice," Papers 2205.05561, arXiv.org, revised Jul 2023.
    11. Charles F. Manski, 2021. "Probabilistic Prediction for Binary Treatment Choice: with focus on personalized medicine," Papers 2110.00864, arXiv.org.
    12. Undral Byambadalai, 2022. "Identification and Inference for Welfare Gains without Unconfoundedness," Papers 2207.04314, arXiv.org.
    13. Bokelmann, Björn & Lessmann, Stefan, 2024. "Improving uplift model evaluation on randomized controlled trial data," European Journal of Operational Research, Elsevier, vol. 313(2), pages 691-707.
    14. Toru Kitagawa & Weining Wang & Mengshan Xu, 2022. "Policy Choice in Time Series by Empirical Welfare Maximization," Papers 2205.03970, arXiv.org, revised Dec 2024.
    15. Cockx, Bart & Lechner, Michael & Bollens, Joost, 2020. "Priority to unemployed immigrants? A causal machine learning evaluation of training in Belgium," ROA Research Memorandum 006, Maastricht University, Research Centre for Education and the Labour Market (ROA).
    16. Pan Zhao & Yifan Cui, 2023. "A Semiparametric Instrumented Difference-in-Differences Approach to Policy Learning," Papers 2310.09545, arXiv.org.
    17. Castillo, Marco & Linardi, Sera & Petrie, Ragan, 2024. "Recidivism and Barriers to Reintegration: A Field Experiment Encouraging Use of Reentry Support," IZA Discussion Papers 17522, Institute of Labor Economics (IZA).
    18. Gabriel Okasa, 2022. "Meta-Learners for Estimation of Causal Effects: Finite Sample Cross-Fit Performance," Papers 2201.12692, arXiv.org.
    19. Susan Athey & Emil Palikot, 2022. "Effective and scalable programs to facilitate labor market transitions for women in technology," Papers 2211.09968, arXiv.org, revised Jan 2024.
    20. Toru Kitagawa & Guanyi Wang, 2023. "Individualized Treatment Allocation in Sequential Network Games," Papers 2302.05747, arXiv.org, revised Jul 2024.
    21. Yan Liu, 2022. "Policy Learning under Endogeneity Using Instrumental Variables," Papers 2206.09883, arXiv.org, revised Mar 2024.
    22. Augustine Denteh & Helge Liebert, 2022. "Who Increases Emergency Department Use? New Insights from the Oregon Health Insurance Experiment," CESifo Working Paper Series 9664, CESifo.
    23. Zhengyu Zhang & Zequn Jin & Lihua Lin, 2024. "Identification and inference of outcome conditioned partial effects of general interventions," Papers 2407.16950, arXiv.org.
    24. Toru Kitagawa & Hugo Lopez & Jeff Rowley, 2022. "Stochastic Treatment Choice with Empirical Welfare Updating," Papers 2211.01537, arXiv.org, revised Feb 2023.
    25. Chunrong Ai & Yue Fang & Haitian Xie, 2024. "Data-driven Policy Learning for Continuous Treatments," Papers 2402.02535, arXiv.org, revised Nov 2024.
    26. Vira Semenova, 2023. "Aggregated Intersection Bounds and Aggregated Minimax Values," Papers 2303.00982, arXiv.org, revised Jun 2024.
    27. von Zahn, Moritz & Bauer, Kevin & Mihale-Wilson, Cristina & Jagow, Johanna & Speicher, Max & Hinz, Oliver, 2022. "The smart green nudge: Reducing product returns through enriched digital footprints & causal machine learning," SAFE Working Paper Series 363, Leibniz Institute for Financial Research SAFE, revised 2022.
    28. Ryo Okui, 2024. "The 2023 Japanese Economic Association Nakahara Prize: Recipient—Prof. Toru Kitagawa, Brown University and University College London," The Japanese Economic Review, Springer, vol. 75(3), pages 405-406, July.
    29. Susan Athey & Undral Byambadalai & Vitor Hadad & Sanath Kumar Krishnamurthy & Weiwen Leung & Joseph Jay Williams, 2022. "Contextual Bandits in a Survey Experiment on Charitable Giving: Within-Experiment Outcomes versus Policy Learning," Papers 2211.12004, arXiv.org.
    30. Yu-Chang Chen & Haitian Xie, 2022. "Personalized Subsidy Rules," Papers 2202.13545, arXiv.org, revised Mar 2022.
    31. Nathan Kallus & Miruna Oprescu, 2022. "Robust and Agnostic Learning of Conditional Distributional Treatment Effects," Papers 2205.11486, arXiv.org, revised Feb 2023.
    32. Achim Ahrens & Alessandra Stampi-Bombelli & Selina Kurer & Dominik Hangartner, 2023. "Optimal multi-action treatment allocation: A two-phase field experiment to boost immigrant naturalization," Papers 2305.00545, arXiv.org, revised Feb 2024.
    33. Zhang, Junsheng & Peng, Zezhi & Zeng, Yamin & Yang, Haisheng, 2024. "Spot check on corporate disclosure quality: Insights from policy learning," Pacific-Basin Finance Journal, Elsevier, vol. 86(C).
    34. Yakymovych, Yaroslav, 2024. "Medical certificates and sickness absence: who stays away from work if monitoring is relaxed?," Working Paper Series 2024:19, IFAU - Institute for Evaluation of Labour Market and Education Policy.
    35. Dan A. Black & Jeffrey Grogger & Tom Kirchmaier & Koen Sanders, 2023. "Criminal charges, risk assessment and violent recidivism in cases of domestic abuse," CEP Discussion Papers dp1897, Centre for Economic Performance, LSE.
    36. Haushofer, Johannes & Niehaus, Paul & Paramo, Carlos & Miguel, Edward & Walker, Michael W, 2022. "Targeting Impact Versus Deprivation," Department of Economics, Working Paper Series qt07j8n9vz, Department of Economics, Institute for Business and Economic Research, UC Berkeley.
    37. Toru Kitagawa & Sokbae Lee & Chen Qiu, 2022. "Treatment Choice with Nonlinear Regret," Papers 2205.08586, arXiv.org, revised Oct 2024.
    38. Toru Kitagawa & Guanyi Wang, 2021. "Who should get vaccinated? Individualized allocation of vaccines over SIR network," CeMMAP working papers CWP28/21, Centre for Microdata Methods and Practice, Institute for Fiscal Studies.
    39. Toru Kitagawa & Guanyi Wang, 2020. "Who should get vaccinated? Individualized allocation of vaccines over SIR network," CeMMAP working papers CWP59/20, Centre for Microdata Methods and Practice, Institute for Fiscal Studies.
    40. Tobias Cagala & Ulrich Glogowsky & Johannes Rincke & Anthony Strittmatter, 2021. "Optimal Targeting in Fundraising: A Causal Machine-Learning Approach," Papers 2103.10251, arXiv.org, revised Sep 2021.
    41. Shosei Sakaguchi, 2021. "Estimation of Optimal Dynamic Treatment Assignment Rules under Policy Constraints," Papers 2106.05031, arXiv.org, revised Aug 2024.
    42. Ali Shirali & Rediet Abebe & Moritz Hardt, 2024. "Allocation Requires Prediction Only if Inequality Is Low," Papers 2406.13882, arXiv.org.
    43. Jonas Metzger, 2022. "Adversarial Estimators," Papers 2204.10495, arXiv.org, revised Jun 2022.
    44. Riccardo D'Adamo, 2021. "Orthogonal Policy Learning Under Ambiguity," Papers 2111.10904, arXiv.org, revised Dec 2022.
    45. Timothy Armstrong & Martin Weidner & Andrei Zeleneev, 2024. "Robust estimation and inference in panels with interactive fixed effects," IFS Working Papers WCWP28/24, Institute for Fiscal Studies.
    46. Weibin Mo & Yufeng Liu, 2022. "Efficient learning of optimal individualized treatment rules for heteroscedastic or misspecified treatment‐free effect models," Journal of the Royal Statistical Society Series B, Royal Statistical Society, vol. 84(2), pages 440-472, April.
    47. Liyang Sun, 2021. "Empirical Welfare Maximization with Constraints," Papers 2103.15298, arXiv.org, revised Sep 2024.
    48. Peter Christensen & Paul Francisco & Erica Myers & Hansen Shao & Mateus Souza, 2022. "Energy Efficiency Can Deliver for Climate Policy: Evidence from Machine Learning-Based Targeting," NBER Working Papers 30467, National Bureau of Economic Research, Inc.
    49. Lihua Lei & Roshni Sahoo & Stefan Wager, 2023. "Policy Learning under Biased Sample Selection," Papers 2304.11735, arXiv.org.
    50. Aaron L. Sarvet & Kerollos N. Wanis & Jessica G. Young & Roberto Hernandez‐Alejandro & Mats J. Stensrud, 2023. "Longitudinal incremental propensity score interventions for limited resource settings," Biometrics, The International Biometric Society, vol. 79(4), pages 3418-3430, December.
    51. Alexander J. Ohnmacht & Arndt Stahler & Sebastian Stintzing & Dominik P. Modest & Julian W. Holch & C. Benedikt Westphalen & Linus Hölzel & Marisa K. Schübel & Ana Galhoz & Ali Farnoud & Minhaz Ud-Dea, 2023. "The Oncology Biomarker Discovery framework reveals cetuximab and bevacizumab response patterns in metastatic colorectal cancer," Nature Communications, Nature, vol. 14(1), pages 1-15, December.
    52. Davide Viviano & Kaspar Wuthrich & Paul Niehaus, 2021. "A model of multiple hypothesis testing," Papers 2104.13367, arXiv.org, revised Apr 2024.
    53. Garbero, Alessandra & Sakos, Grayson & Cerulli, Giovanni, 2021. "Towards Data-driven Project design: Providing Optimal Treatment Rules for Development Projects," 2021 Annual Meeting, August 1-3, Austin, Texas 314016, Agricultural and Applied Economics Association.
    54. Victor Chernozhukov & Whitney K. Newey & Victor Quintas-Martinez & Vasilis Syrgkanis, 2021. "RieszNet and ForestRiesz: Automatic Debiased Machine Learning with Neural Nets and Random Forests," Papers 2110.03031, arXiv.org, revised Jun 2022.
    55. Daniel F. Pellatt, 2022. "PAC-Bayesian Treatment Allocation Under Budget Constraints," Papers 2212.09007, arXiv.org, revised Jun 2023.
    56. Carlos Fernández-Loría & Foster Provost & Jesse Anderton & Benjamin Carterette & Praveen Chandar, 2023. "A Comparison of Methods for Treatment Assignment with an Application to Playlist Generation," Information Systems Research, INFORMS, vol. 34(2), pages 786-803, June.
    57. Takanori Ida & Takunori Ishihara & Koichiro Ito & Daido Kido & Toru Kitagawa & Shosei Sakaguchi & Shusaku Sasaki, 2022. "Choosing Who Chooses: Selection-Driven Targeting in Energy Rebate Programs," NBER Working Papers 30469, National Bureau of Economic Research, Inc.
    58. Krantz, Sebastian, 2024. "Mapping Africa's infrastructure potential with geospatial big data and causal ML," Kiel Working Papers 2276, Kiel Institute for the World Economy (IfW Kiel).
    59. Toru Kitagawa & Jeff Rowley, 2024. "Bandit algorithms for policy learning: methods, implementation, and welfare-performance," The Japanese Economic Review, Springer, vol. 75(3), pages 407-447, July.
    60. Davide Viviano & Jess Rudder, 2020. "Policy design in experiments with unknown interference," Papers 2011.08174, arXiv.org, revised May 2024.
    61. Kasy, Maximilian, 2023. "The political economy of AI: Towards democratic control of the means of prediction," INET Oxford Working Papers 2023-06, Institute for New Economic Thinking at the Oxford Martin School, University of Oxford.
    62. Yuchen Hu & Henry Zhu & Emma Brunskill & Stefan Wager, 2024. "Minimax-Regret Sample Selection in Randomized Experiments," Papers 2403.01386, arXiv.org, revised Jun 2024.
    63. Toru Kitagawa & Shosei Sakaguchi & Aleksey Tetenov, 2021. "Constrained Classification and Policy Learning," Papers 2106.12886, arXiv.org, revised Jul 2023.
    64. Ta-Wei Huang & Eva Ascarza, 2024. "Doing More with Less: Overcoming Ineffective Long-Term Targeting Using Short-Term Signals," Marketing Science, INFORMS, vol. 43(4), pages 863-884, July.
    65. Cordier, J.; & Salvi, I.; & Steinbeck, V.; & Geissler, A.; & Vogel, J.;, 2023. "Is rapid recovery always the best recovery? - Developing a machine learning approach for optimal assignment rules under capacity constraints for knee replacement patients," Health, Econometrics and Data Group (HEDG) Working Papers 23/08, HEDG, c/o Department of Economics, University of York.
    66. Elliott Ash & Sergio Galletta & Tommaso Giommoni, 2021. "A Machine Learning Approach to Analyze and Support Anti-Corruption Policy," CESifo Working Paper Series 9015, CESifo.
    67. Artem Kuriksha, 2021. "An Economy of Neural Networks: Learning from Heterogeneous Experiences," Papers 2110.11582, arXiv.org.
    68. Vanessa Cirulli & Giuliano Resce & Marco Ventura, 2021. "Co-payment exemption and healthcare consumption. Quasi-experimental evidence from Italy," Working Papers in Public Economics 203, Department of Economics and Law, Sapienza University of Roma.
    69. Yuehao Bai & Azeem M. Shaikh & Max Tabord-Meehan, 2024. "A Primer on the Analysis of Randomized Experiments and a Survey of some Recent Advances," Papers 2405.03910, arXiv.org.
    70. Kai Feng & Han Hong & Ke Tang & Jingyuan Wang, 2023. "Statistical Tests for Replacing Human Decision Makers with Algorithms," Papers 2306.11689, arXiv.org, revised Dec 2024.
    71. Patrick Rehill & Nicholas Biddle, 2022. "Policy learning for many outcomes of interest: Combining optimal policy trees with multi-objective Bayesian optimisation," Papers 2212.06312, arXiv.org, revised Oct 2023.
    72. Ke Sun & Linglong Kong & Hongtu Zhu & Chengchun Shi, 2024. "ARMA-Design: Optimal Treatment Allocation Strategies for A/B Testing in Partially Observable Time Series Experiments," Papers 2408.05342, arXiv.org, revised Jan 2025.
    73. Hugo Bodory & Federica Mascolo & Michael Lechner, 2024. "Enabling Decision-Making with the Modified Causal Forest: Policy Trees for Treatment Assignment," Papers 2406.02241, arXiv.org.
    74. Aldo Gael Carranza & Susan Athey, 2023. "Federated Offline Policy Learning," Papers 2305.12407, arXiv.org, revised Oct 2024.
    75. Susan Athey & Guido W. Imbens, 2017. "The State of Applied Econometrics: Causality and Policy Evaluation," Journal of Economic Perspectives, American Economic Association, vol. 31(2), pages 3-32, Spring.
    76. Yuya Sasaki & Takuya Ura, 2020. "Welfare Analysis via Marginal Treatment Effects," Papers 2012.07624, arXiv.org.
    77. Yi Zhang & Kosuke Imai, 2023. "Individualized Policy Evaluation and Learning under Clustered Network Interference," Papers 2311.02467, arXiv.org, revised Feb 2024.
    78. Walter W. Zhang & Sanjog Misra, 2022. "Coarse Personalization," Papers 2204.05793, arXiv.org, revised Aug 2024.
    79. Hiroyuki Egami & Md. Shafiur Rahman & Tsuyoshi Yamamoto & Chihiro Egami & Takahisa Wakabayashi, 2024. "Causal effect of video gaming on mental well-being in Japan 2020–2022," Nature Human Behaviour, Nature, vol. 8(10), pages 1943-1956, October.
    80. David Glynn & John Giardina & Julia Hatamyar & Ankur Pandya & Marta Soares & Noemi Kreif, 2024. "Integrating decision modeling and machine learning to inform treatment stratification," Health Economics, John Wiley & Sons, Ltd., vol. 33(8), pages 1772-1792, August.
    81. Yue Fang & Junyi Liu & Jong-Shi Pang, 2024. "Classification and Treatment Learning with Constraints via Composite Heaviside Optimization: a Progressive MIP Method," Papers 2401.01565, arXiv.org, revised Jan 2024.
    82. Ying Deng & Qianqian Yue & Xin Zhao, 2024. "What Does Air Quality Information Disclosure Deliver and to Whom? Evidence from the Ambient Air Quality Standard (2012) Program in China," Environmental & Resource Economics, Springer;European Association of Environmental and Resource Economists, vol. 87(11), pages 2859-2887, November.
    83. Yi Zhang & Eli Ben-Michael & Kosuke Imai, 2022. "Safe Policy Learning under Regression Discontinuity Designs with Multiple Cutoffs," Papers 2208.13323, arXiv.org, revised Sep 2024.
    84. Tobias Cagala & Ulrich Glogowsky & Johannes Rincke & Anthony Strittmatter, 2021. "Optimal Targeting in Fundraising: A Machine-Learning Approach," CESifo Working Paper Series 9037, CESifo.
    85. Vanderschueren, Toon & Boute, Robert & Verdonck, Tim & Baesens, Bart & Verbeke, Wouter, 2023. "Optimizing the preventive maintenance frequency with causal machine learning," International Journal of Production Economics, Elsevier, vol. 258(C).
    86. Ganesh Karapakula, 2023. "Stable Probability Weighting: Large-Sample and Finite-Sample Estimation and Inference Methods for Heterogeneous Causal Effects of Multivalued Treatments Under Limited Overlap," Papers 2301.05703, arXiv.org, revised Jan 2023.
    87. Nathan Kallus, 2023. "Treatment Effect Risk: Bounds and Inference," Management Science, INFORMS, vol. 69(8), pages 4579-4590, August.
    88. Toru Kitagawa & Guanyi Wang, 2020. "Who Should Get Vaccinated? Individualized Allocation of Vaccines Over SIR Network," Papers 2012.04055, arXiv.org, revised Jul 2021.
    89. Battiston, Pietro & Gamba, Simona & Santoro, Alessandro, 2024. "Machine learning and the optimization of prediction-based policies," Technological Forecasting and Social Change, Elsevier, vol. 199(C).
    90. Seungjin Han & Julius Owusu & Youngki Shin, 2022. "Statistical Treatment Rules under Social Interaction," Papers 2209.09077, arXiv.org, revised Nov 2022.
    91. Takuya Ishihara & Toru Kitagawa, 2021. "Evidence Aggregation for Treatment Choice," Papers 2108.06473, arXiv.org, revised Jul 2024.
    92. Michael Lechner, 2023. "Causal Machine Learning and its use for public policy," Swiss Journal of Economics and Statistics, Springer;Swiss Society of Economics and Statistics, vol. 159(1), pages 1-15, December.
    93. Christoph Breunig & Ruixuan Liu & Zhengfei Yu, 2022. "Double Robust Bayesian Inference on Average Treatment Effects," Papers 2211.16298, arXiv.org, revised Oct 2024.
    94. Charles F. Manski, 2019. "Econometrics For Decision Making: Building Foundations Sketched By Haavelmo And Wald," Papers 1912.08726, arXiv.org, revised Feb 2021.
    95. Victor Chernozhukov & Denis Chetverikov & Kengo Kato & Yuta Koike, 2022. "High-dimensional Data Bootstrap," Papers 2205.09691, arXiv.org.
    96. Kitagawa, Toru & Wang, Guanyi, 2023. "Who should get vaccinated? Individualized allocation of vaccines over SIR network," Journal of Econometrics, Elsevier, vol. 232(1), pages 109-131.
    97. Philipp Schwarz & Oliver Schacht & Sven Klaassen & Daniel Grunbaum & Sebastian Imhof & Martin Spindler, 2024. "Management Decisions in Manufacturing using Causal Machine Learning -- To Rework, or not to Rework?," Papers 2406.11308, arXiv.org.
    98. Kai Feng & Han Hong, 2024. "Statistical Inference of Optimal Allocations I: Regularities and their Implications," Papers 2403.18248, arXiv.org, revised Apr 2024.
    99. Patrick Rehill & Nicholas Biddle, 2023. "Transparency challenges in policy evaluation with causal machine learning -- improving usability and accountability," Papers 2310.13240, arXiv.org, revised Mar 2024.
    100. Kirill Ponomarev & Vira Semenova, 2024. "On the Lower Confidence Band for the Optimal Welfare," Papers 2410.07443, arXiv.org, revised Oct 2024.
    101. Olga Takács & János Vincze, 2023. "Heterogeneous wage structure effects: a partial European East-West comparison," CERS-IE WORKING PAPERS 2305, Institute of Economics, Centre for Economic and Regional Studies.
    102. Juan Carlos Perdomo, 2023. "The Relative Value of Prediction in Algorithmic Decision Making," Papers 2312.08511, arXiv.org, revised May 2024.
    103. Alejandro Sanchez-Becerra, 2023. "Robust inference for the treatment effect variance in experiments using machine learning," Papers 2306.03363, arXiv.org.
    104. Jann Spiess & Vasilis Syrgkanis & Victor Yaneng Wang, 2021. "Finding Subgroups with Significant Treatment Effects," Papers 2103.07066, arXiv.org, revised Dec 2023.
    105. Toon Vanderschueren & Robert Boute & Tim Verdonck & Bart Baesens & Wouter Verbeke, 2022. "Prescriptive maintenance with causal machine learning," Papers 2206.01562, arXiv.org.
    106. Kelvin Mulungu & Zewdu Ayalew Abro & Wambui Beatrice Muriithi & Menale Kassie & Miachael Kidoido & Subramanian Sevgan & Samira Mohamed & Chrysantus Tanga & Fathiya Khamis, 2024. "One size does not fit all: Heterogeneous economic impact of integrated pest management practices for mango fruit flies in Kenya—a machine learning approach," Journal of Agricultural Economics, Wiley Blackwell, vol. 75(1), pages 261-279, February.
    107. Patrick Rehill & Nicholas Biddle, 2023. "Fairness Implications of Heterogeneous Treatment Effect Estimation with Machine Learning Methods in Policy-making," Papers 2309.00805, arXiv.org.
    108. Shuxiao Chen & Bo Zhang, 2021. "Estimating and Improving Dynamic Treatment Regimes With a Time-Varying Instrumental Variable," Papers 2104.07822, arXiv.org.
    109. Alex Chin & Dean Eckles & Johan Ugander, 2022. "Evaluating Stochastic Seeding Strategies in Networks," Management Science, INFORMS, vol. 68(3), pages 1714-1736, March.
    110. Noemi Kreif & Andrew Mirelman & Rodrigo Moreno-Serra & Taufik Hidayat, & Karla DiazOrdaz & Marc Suhrcke, 2020. "Who benefits from health insurance? Uncovering heterogeneous policy impacts using causal machine learning," Working Papers 173cherp, Centre for Health Economics, University of York.
    111. Federico Crippa, 2024. "Regret Analysis in Threshold Policy Design," Papers 2404.11767, arXiv.org.

  44. Alberto Abadie & Susan Athey & Guido W. Imbens & Jeffrey M. Wooldridge, 2017. "Sampling-based vs. Design-based Uncertainty in Regression Analysis," Papers 1706.01778, arXiv.org, revised Jun 2019.

    Cited by:

    1. Michael P. Leung, 2019. "Causal Inference Under Approximate Neighborhood Interference," Papers 1911.07085, arXiv.org, revised Nov 2021.
    2. Chand, Satish & Clemens, Michael A., 2023. "Human capital investment under exit options: Evidence from a natural quasi-experiment," Journal of Development Economics, Elsevier, vol. 163(C).
    3. James G. MacKinnon & Matthew D. Webb, 2020. "When and How to Deal with Clustered Errors in Regression Models," Working Paper 1421, Economics Department, Queen's University.
    4. James J. Heckman & Ganesh Karapakula, 2019. "The Perry Preschoolers at Late Midlife: A Study in Design-Specific Inference," NBER Working Papers 25888, National Bureau of Economic Research, Inc.
    5. Ridley, Matthew & Terrier, Camille, 2018. "Fiscal and education spillovers from charter school expansion," LSE Research Online Documents on Economics 91700, London School of Economics and Political Science, LSE Library.
    6. Alberto Abadie & Susan Athey & Guido W. Imbens & Jeffrey Wooldridge, 2017. "When Should You Adjust Standard Errors for Clustering?," NBER Working Papers 24003, National Bureau of Economic Research, Inc.
    7. Ohlrogge, Michael, 2022. "Financial Crises and Legislation," Journal of Financial Crises, Yale Program on Financial Stability (YPFS), vol. 4(3), pages 1-59, April.
    8. Yusuke Narita, 2018. "Experiment-as-Market: Incorporating Welfare into Randomized Controlled Trials," Cowles Foundation Discussion Papers 2127r, Cowles Foundation for Research in Economics, Yale University, revised May 2019.
    9. Hibbard, Patrick F. & Chapman, Jason E., 2024. "Drug treatment courts and community-level crime," Journal of Criminal Justice, Elsevier, vol. 94(C).
    10. Susan Athey & Guido Imbens, 2018. "Design-based Analysis in Difference-In-Differences Settings with Staggered Adoption," Papers 1808.05293, arXiv.org, revised Sep 2018.
    11. Yusuke Narita, 2018. "Toward an Ethical Experiment," Cowles Foundation Discussion Papers 2127, Cowles Foundation for Research in Economics, Yale University.

  45. Athey, Susan & Wager, Stefan, 2017. "Efficient Policy Learning," Research Papers 3506, Stanford University, Graduate School of Business.

    Cited by:

    1. Dylan J. Foster & Vasilis Syrgkanis, 2019. "Orthogonal Statistical Learning," Papers 1901.09036, arXiv.org, revised Jun 2023.
    2. Zhengyuan Zhou & Susan Athey & Stefan Wager, 2023. "Offline Multi-Action Policy Learning: Generalization and Optimization," Operations Research, INFORMS, vol. 71(1), pages 148-183, January.
    3. Kenshi Abe & Yusuke Kaneko, 2020. "Off-Policy Exploitability-Evaluation in Two-Player Zero-Sum Markov Games," Papers 2007.02141, arXiv.org, revised Dec 2020.
    4. Bertrand,Marianne & Crepon,Bruno Jacques Jean Philippe & Marguerie,Alicia Charlene & Premand,Patrick, 2021. "Do Workfare Programs Live Up to Their Promises ? Experimental Evidence from Côte d’Ivoire," Policy Research Working Paper Series 9611, The World Bank.
    5. Michael C. Knaus, 2020. "Double Machine Learning based Program Evaluation under Unconfoundedness," Papers 2003.03191, arXiv.org, revised Jun 2022.
    6. Knaus, Michael C., 2018. "A Double Machine Learning Approach to Estimate the Effects of Musical Practice on Student's Skills," IZA Discussion Papers 11547, Institute of Labor Economics (IZA).
    7. Caio Waisman & Harikesh S. Nair & Carlos Carrion, 2019. "Online Causal Inference for Advertising in Real-Time Bidding Auctions," Papers 1908.08600, arXiv.org, revised Feb 2024.
    8. Xinkun Nie & Stefan Wager, 2017. "Quasi-Oracle Estimation of Heterogeneous Treatment Effects," Papers 1712.04912, arXiv.org, revised Aug 2020.
    9. Masahiro Kato & Masaaki Imaizumi & Takuya Ishihara & Toru Kitagawa, 2022. "Best Arm Identification with Contextual Information under a Small Gap," Papers 2209.07330, arXiv.org, revised Jan 2023.
    10. Masahiro Kato & Shota Yasui & Kenichiro McAlinn, 2020. "The Adaptive Doubly Robust Estimator for Policy Evaluation in Adaptive Experiments and a Paradox Concerning Logging Policy," Papers 2010.03792, arXiv.org, revised Jun 2021.
    11. Mert Demirer & Vasilis Syrgkanis & Greg Lewis & Victor Chernozhukov, 2019. "Semi-Parametric Efficient Policy Learning with Continuous Actions," Papers 1905.10116, arXiv.org, revised Jul 2019.
    12. Jacob, Daniel, 2020. "Cross-Fitting and Averaging for Machine Learning Estimation of Heterogeneous Treatment Effects," IRTG 1792 Discussion Papers 2020-014, Humboldt University of Berlin, International Research Training Group 1792 "High Dimensional Nonstationary Time Series".
    13. Anders Bredahl Kock & Martin Thyrsgaard, 2017. "Optimal sequential treatment allocation," Papers 1705.09952, arXiv.org, revised Aug 2018.
    14. Susan Athey & Raj Chetty & Guido Imbens, 2020. "Combining Experimental and Observational Data to Estimate Treatment Effects on Long Term Outcomes," Papers 2006.09676, arXiv.org.
    15. Masahiro Kato & Masatoshi Uehara & Shota Yasui, 2020. "Off-Policy Evaluation and Learning for External Validity under a Covariate Shift," Papers 2002.11642, arXiv.org, revised Oct 2020.
    16. Masahiro Kato, 2020. "Confidence Interval for Off-Policy Evaluation from Dependent Samples via Bandit Algorithm: Approach from Standardized Martingales," Papers 2006.06982, arXiv.org.
    17. Crystal T. Nguyen & Daniel J. Luckett & Anna R. Kahkoska & Grace E. Shearrer & Donna Spruijt‐Metz & Jaimie N. Davis & Michael R. Kosorok, 2020. "Estimating individualized treatment regimes from crossover designs," Biometrics, The International Biometric Society, vol. 76(3), pages 778-788, September.
    18. Nathan Kallus, 2022. "Treatment Effect Risk: Bounds and Inference," Papers 2201.05893, arXiv.org, revised Jul 2022.
    19. Yunan Wu & Lan Wang, 2021. "Resampling‐based confidence intervals for model‐free robust inference on optimal treatment regimes," Biometrics, The International Biometric Society, vol. 77(2), pages 465-476, June.
    20. Kock, Anders Bredahl & Preinerstorfer, David & Veliyev, Bezirgen, 2023. "Treatment recommendation with distributional targets," Journal of Econometrics, Elsevier, vol. 234(2), pages 624-646.
    21. Maria Dimakopoulou & Zhengyuan Zhou & Susan Athey & Guido Imbens, 2017. "Estimation Considerations in Contextual Bandits," Papers 1711.07077, arXiv.org, revised Dec 2018.
    22. Anders Bredahl Kock & David Preinerstorfer & Bezirgen Veliyev, 2022. "Functional Sequential Treatment Allocation," Journal of the American Statistical Association, Taylor & Francis Journals, vol. 117(539), pages 1311-1323, September.
    23. Hema Yoganarasimhan & Ebrahim Barzegary & Abhishek Pani, 2020. "Design and Evaluation of Personalized Free Trials," Papers 2006.13420, arXiv.org.
    24. Christian Hansen & Damian Kozbur & Sanjog Misra, 2016. "Targeted undersmoothing," ECON - Working Papers 282, Department of Economics - University of Zurich, revised Apr 2018.
    25. Davide Viviano & Jelena Bradic, 2020. "Fair Policy Targeting," Papers 2005.12395, arXiv.org, revised Jun 2022.
    26. Daniel Jacob, 2021. "CATE meets ML," Digital Finance, Springer, vol. 3(2), pages 99-148, June.
    27. Haupt, Johannes & Jacob, Daniel & Gubela, Robin M. & Lessmann, Stefan, 2019. "Affordable Uplift: Supervised Randomization in Controlled Exprtiments," IRTG 1792 Discussion Papers 2019-026, Humboldt University of Berlin, International Research Training Group 1792 "High Dimensional Nonstationary Time Series".
    28. Daniel Jacob, 2021. "CATE meets ML -- The Conditional Average Treatment Effect and Machine Learning," Papers 2104.09935, arXiv.org, revised Apr 2021.
    29. Maria Dimakopoulou & Zhimei Ren & Zhengyuan Zhou, 2021. "Online Multi-Armed Bandits with Adaptive Inference," Papers 2102.13202, arXiv.org, revised Jun 2021.
    30. Carlos Fern'andez-Lor'ia & Foster Provost & Jesse Anderton & Benjamin Carterette & Praveen Chandar, 2020. "A Comparison of Methods for Treatment Assignment with an Application to Playlist Generation," Papers 2004.11532, arXiv.org, revised Apr 2022.
    31. Qingyuan Zhao & Dylan S. Small & Ashkan Ertefaie, 2022. "Selective inference for effect modification via the lasso," Journal of the Royal Statistical Society Series B, Royal Statistical Society, vol. 84(2), pages 382-413, April.
    32. Andrew Bennett & Nathan Kallus, 2020. "Efficient Policy Learning from Surrogate-Loss Classification Reductions," Papers 2002.05153, arXiv.org.
    33. Jann Spiess & Vasilis Syrgkanis & Victor Yaneng Wang, 2021. "Finding Subgroups with Significant Treatment Effects," Papers 2103.07066, arXiv.org, revised Dec 2023.
    34. Johannes Haupt & Stefan Lessmann, 2020. "Targeting customers under response-dependent costs," Papers 2003.06271, arXiv.org, revised Aug 2021.
    35. Davide Viviano, 2019. "Policy Targeting under Network Interference," Papers 1906.10258, arXiv.org, revised Apr 2024.

  46. Rudolph, Maja & Ruiz, Francisco & Athey, Susan & Blei, David, 2017. "Structured Embedding Models for Grouped Data," Research Papers repec:ecl:stabus:3597, Stanford University, Graduate School of Business.

    Cited by:

    1. Knox, George & Datta, Hannes, 2020. "Streaming Services and the Homogenization of Music Consumption," Other publications TiSEM 0e4d6202-dcc5-4834-ba93-a, Tilburg University, School of Economics and Management.
    2. van Loon, Austin, 2022. "Three Families of Automated Text Analysis," SocArXiv htnej, Center for Open Science.
    3. André Greiner-Petter & Abdou Youssef & Terry Ruas & Bruce R. Miller & Moritz Schubotz & Akiko Aizawa & Bela Gipp, 2020. "Math-word embedding in math search and semantic extraction," Scientometrics, Springer;Akadémiai Kiadó, vol. 125(3), pages 3017-3046, December.

  47. Alberto Abadie & Susan Athey & Guido Imbens & Jeffrey Wooldridge, 2017. "When Should You Adjust Standard Errors for Clustering?," Papers 1710.02926, arXiv.org, revised Sep 2022.

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    1. Vu Le Tran & Guillaume Coqueret, 2023. "ESG news spillovers across the value chain," Post-Print hal-04325746, HAL.
    2. Sofoklis Goulas & Silvia Griselda & Rigissa Megalokonomou, 2024. "Comparative Advantage and Gender Gap in STEM," Journal of Human Resources, University of Wisconsin Press, vol. 59(6), pages 1937-1980.
    3. Araujo, Aloisio & Ferreira, Rafael & Lagaras, Spyridon & Moraes, Flavio & Ponticelli, Jacopo & Tsoutsoura, Margarita, 2023. "The labor effects of judicial bias in bankruptcy," Journal of Financial Economics, Elsevier, vol. 150(2).
    4. Burgherr, David, 2022. "Behavioral Responses to a Pension Savings Mandate : Quasi-experimental Evidence from Swiss Tax Data," CAGE Online Working Paper Series 645, Competitive Advantage in the Global Economy (CAGE).
    5. Nigus, Halefom Yigzaw & Abay, Kibrom A., 2024. "Cooperation among community leaders: The role of women’s leadership and exposure to conflict," IFPRI discussion papers 2273, International Food Policy Research Institute (IFPRI).
    6. Sumaryanto & Sri Hery Susilowati & Fitri Nurfatriani & Herlina Tarigan & Erwidodo & Tahlim Sudaryanto & Henri Wira Perkasa, 2022. "Determinants of Farmers’ Behavior towards Land Conservation Practices in the Upper Citarum Watershed in West Java, Indonesia," Land, MDPI, vol. 11(10), pages 1-21, October.
    7. Aragón, Nicolás & Roulund, Rasmus Pank, 2020. "Confidence and decision-making in experimental asset markets," Journal of Economic Behavior & Organization, Elsevier, vol. 178(C), pages 688-718.
    8. Alexander Klein & Guy Tchuente, 2024. "Spatial differencing for sample selection models with ‘site-specific’ unobserved local effects," The Econometrics Journal, Royal Economic Society, vol. 27(2), pages 235-257.
    9. Gottfried, Michael A. & Kirksey, Jacob, 2022. "School breakfast and young children’s absenteeism: Does meal location matter?," Children and Youth Services Review, Elsevier, vol. 143(C).
    10. Scur, Daniela & Bilicka, Katarzyna, 2021. "Organizational capacity and profit shifting," CEPR Discussion Papers 16502, C.E.P.R. Discussion Papers.
    11. Julien Martin & Mathieu Parenti & Farid Toubal, 2020. "Corporate Tax Avoidance and Industry Concentration," Working Papers ECARES 2020-29, ULB -- Universite Libre de Bruxelles.
    12. Molina Fernández, José Miguel & Gonzáles Zuazo, Rodrigo, 2018. "Exposición al comercio internacional e ingresos laborales en Bolivia: evidencia al nivel del trabajador," Revista Latinoamericana de Desarrollo Economico, Carrera de Economía de la Universidad Católica Boliviana (UCB) "San Pablo", issue 31, pages 10-31, May.
    13. Valero, Anna & Van Reenen, John, 2018. "The economic impact of universities: evidence from across the globe," LSE Research Online Documents on Economics 90227, London School of Economics and Political Science, LSE Library.
    14. Evan Starr & Brent Goldfarb, 2020. "Binned scatterplots: A simple tool to make research easier and better," Strategic Management Journal, Wiley Blackwell, vol. 41(12), pages 2261-2274, December.
    15. Zeynep B. Ugur, 2021. "Does Money Buy Happiness in Turkey?," Applied Research in Quality of Life, Springer;International Society for Quality-of-Life Studies, vol. 16(3), pages 1073-1096, June.
    16. Sunghun Lim, 2021. "Global Agricultural Value Chains and Structural Transformation," NBER Chapters, in: Risks in Agricultural Supply Chains, pages 29-57, National Bureau of Economic Research, Inc.
    17. Arellano-Bover, Jaime, 2020. "Career Consequences of Firm Heterogeneity for Young Workers: First Job and Firm Size," IZA Discussion Papers 12969, Institute of Labor Economics (IZA).
    18. Holmås, Tor Helge & Monstad, Karin & Reme, Silje Endresen, 2021. "Regular employment for people with mental illness – An evaluation of the individual placement and support programme," Social Science & Medicine, Elsevier, vol. 270(C).
    19. Alexander Cuntz & Matthias Sahli, 2021. "Intermediary Liability and Trade in Follow-on Innovation," WIPO Economic Research Working Papers 66, World Intellectual Property Organization - Economics and Statistics Division.
    20. van Vuuren, Aico, 2022. "Is There a Diminishing Value of Urban Amenities as a Result of the COVID-19 Pandemic?," IZA Discussion Papers 15025, Institute of Labor Economics (IZA).
    21. Bethencourt, Carlos & Santos-Torres, Daniel, 2023. "Gender-role identity in adolescence and women fertility in adulthood," MPRA Paper 116321, University Library of Munich, Germany.
    22. Hanna Virtanen & Mikko Silliman & Tiina Kuuppelomäki & Kristiina Huttunen, 2024. "Education, Gender, and Family Formation," CESifo Working Paper Series 11182, CESifo.
    23. Joachim De Weerdt & Luc Christiaensen & Ravi Kanbur, 2021. "When distance drives destination, towns can stimulate development," Working Papers of LICOS - Centre for Institutions and Economic Performance 671347, KU Leuven, Faculty of Economics and Business (FEB), LICOS - Centre for Institutions and Economic Performance.
    24. Michel Dietsch & Henri Fraisse & Mathias Lé & Sandrine Lecarpentier, 2019. "Lower bank capital requirements as a policy tool to support credit to SMEs: evidence from a policy experiment," EconomiX Working Papers 2019-12, University of Paris Nanterre, EconomiX.
    25. Pramod Kumar Sur, 2021. "Understanding Vaccine Hesitancy: Empirical Evidence from India," Papers 2103.02909, arXiv.org, revised Feb 2023.
    26. Derksen, Laura & Muula, Adamson & van Oosterhout, Joep, 2022. "Love in the time of HIV: How beliefs about externalities impact health behavior," Journal of Development Economics, Elsevier, vol. 159(C).
    27. David Boto-García & Veronica Leoni, 2022. "The hedonic value of coastal amenities in peer-to-peer markets," DEA Working Papers 94, Universitat de les Illes Balears, Departament d'Economía Aplicada.
    28. Silliman, Mikko & Willén, Alexander, 2024. "Worker Power, Immigrant Sorting, and Firm Dynamics," IZA Discussion Papers 17208, Institute of Labor Economics (IZA).
    29. Patrick S. Turner, 2022. "High‐Skilled Immigration and the Labor Market: Evidence from the H‐1B Visa Program," Journal of Policy Analysis and Management, John Wiley & Sons, Ltd., vol. 41(1), pages 92-130, January.
    30. James G. MacKinnon & Morten {O}rregaard Nielsen & Matthew D. Webb, 2023. "Testing for the appropriate level of clustering in linear regression models," Papers 2301.04522, arXiv.org, revised Mar 2023.
    31. Dutt, Pushan, 2020. "The WTO is not passé," European Economic Review, Elsevier, vol. 128(C).
    32. Testa, Patrick A., 2021. "Shocks and the spatial distribution of economic activity: The role of institutions," Journal of Economic Behavior & Organization, Elsevier, vol. 183(C), pages 791-810.
    33. Merlino, Luca & Steinhardt, Max & Wren-Lewis, Liam, 2022. "The long run impact of childhood interracial contact on residential segregation," SocArXiv hyau2, Center for Open Science.
    34. Freitag, Andreas & Lein, Sarah M., 2023. "Endogenous product adjustment and exchange rate pass-through," Journal of International Economics, Elsevier, vol. 140(C).
    35. Getik, Demid, 2022. "Relative Income, the Breadwinner Norm, and Mental Health in Couples," Working Papers 2022:10, Lund University, Department of Economics.
    36. Moura, Ana, 2021. "Essays in health economics," Other publications TiSEM c93abd22-fa4a-42a5-b172-d, Tilburg University, School of Economics and Management.
    37. Zhu, Lichao, 2023. "Comparative evaluation of CO2 emissions from transportation in countries around the world," Journal of Transport Geography, Elsevier, vol. 110(C).
    38. Christopher Blattman & Gustavo Duncan & Benjamin Lessing & Santiago Tobón, 2021. "Gang rule: Understanding and Countering Criminal Governance," NBER Working Papers 28458, National Bureau of Economic Research, Inc.
    39. Diego Battiston & Jordi Blanes i Vidal & Tom Kirchmaier & Katalin Szemeredi, 2023. "Peer pressure and manager pressure in organisations," CEP Discussion Papers dp1924, Centre for Economic Performance, LSE.
    40. James G. MacKinnon & Matthew D. Webb, 2020. "When and How to Deal with Clustered Errors in Regression Models," Working Paper 1421, Economics Department, Queen's University.
    41. Broccolini,Chiara & Lotti,Giulia & Maffioli,Alessandro & Presbitero,Andrea F. & Stucchi,Rodolfo Mario, 2020. "Mobilization Effects of Multilateral Development Banks," Policy Research Working Paper Series 9163, The World Bank.
    42. Götte, Lorenz & Stutzer, Alois, 2008. "Blood Donations and Incentives: Evidence from a Field Experiment," IZA Discussion Papers 3580, Institute of Labor Economics (IZA).
    43. Antman, Francisca M. & Kalsi, Priti & Lee, Soohyung, 2021. "Gender Norm Conflict and Marital Outcomes," IZA Discussion Papers 14144, Institute of Labor Economics (IZA).
    44. Brock, J. Michelle & de Haas, Ralph, 2021. "Discriminatory Lending : Evidence from Bankers in the Lab," Other publications TiSEM 12af373a-8e1a-46dd-afd4-a, Tilburg University, School of Economics and Management.
    45. Derksen, Laura & Leclerc, Catherine Michaud & Souza, Pedro CL, 2019. "Searching for Answers : The Impact of Student Access to Wikipedia," The Warwick Economics Research Paper Series (TWERPS) 1236, University of Warwick, Department of Economics.
    46. Duk Gyoo Kim, 2020. "Clustering Standard Errors at the "Session" Level," CESifo Working Paper Series 8386, CESifo.
    47. Vu, Khoa & Vuong, Nguyen Dinh Tuan & Vu-Thanh, Tu-Anh & Nguyen, Anh Ngoc, 2022. "Income shock and food insecurity prediction Vietnam under the pandemic," World Development, Elsevier, vol. 153(C).
    48. Felipe Barrera‐Osorio & Andreas de Barros & Deon Filmer, 2024. "Long‐term impacts of primary school scholarships: Evidence from Cambodia," Journal of Policy Analysis and Management, John Wiley & Sons, Ltd., vol. 43(1), pages 10-38, January.
    49. Gabriele Cardullo & Maurizio Conti & Andrea Ricci & Sergio Scicchitano & Giovanni Sulis, 2024. "On the emergence of cooperative industrial and labour relations," British Journal of Industrial Relations, London School of Economics, vol. 62(3), pages 568-590, September.
    50. Abman, Ryan & Lundberg, Clark & Ruta, Michele, 2022. "The Effectiveness of Environmental Provisions in Regional Trade Agreements," 2022: Transforming Global Value Chains, December 11-13, Clearwater Beach, FL 339471, International Agricultural Trade Research Consortium.
    51. Cabanillas-Jiménez, Guillermo & Galanakis, Yannis, 2022. "The varying impact of COVID-19 in the Spanish Labor Market," GLO Discussion Paper Series 1104, Global Labor Organization (GLO).
    52. Wattal, Vasudha & Checkland, Katherine & Sutton, Matt & Morciano, Marcello, 2024. "What remains after the money ends? Evidence on whether admission reductions continued following the largest health and social care integration programme in England," LSE Research Online Documents on Economics 123604, London School of Economics and Political Science, LSE Library.
    53. Pablo Fajgelbaum & Pinelopi K. Goldberg & Patrick J. Kennedy & Amit Khandelwal & Daria Taglioni, 2021. "The US-China Trade War and Global Reallocations," NBER Working Papers 29562, National Bureau of Economic Research, Inc.
    54. Jan Stede & Nils May, 2020. "Way Off: The Effect of Minimum Distance Regulation on the Deployment of Wind Power," Discussion Papers of DIW Berlin 1867, DIW Berlin, German Institute for Economic Research.
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    Cited by:

    1. Ratul Das Chaudhury & Chongwoo Choe, 2022. "Digital Privacy: GDPR and Its Lessons for Australia," Monash Economics Working Papers 2022-19, Monash University, Department of Economics.
    2. Cullen, Zoë & Perez-Truglia, Ricardo, 2023. "The salary taboo privacy norms and the diffusion of information," Journal of Public Economics, Elsevier, vol. 222(C).
    3. Alessandro Bonatti, 2023. "The Platform Dimension of Digital Privacy," NBER Chapters, in: The Economics of Privacy, National Bureau of Economic Research, Inc.
    4. Donato Masciandaro, 2018. "Central Bank Digital Cash and Cryptocurrencies: Insights from a New Baumol–Friedman Demand for Money," Australian Economic Review, The University of Melbourne, Melbourne Institute of Applied Economic and Social Research, vol. 51(4), pages 540-550, December.
    5. Bonatti, Alessandro & Bergemann, Dirk & Gan, Tan, 2020. "The Economics of Social Data," CEPR Discussion Papers 14466, C.E.P.R. Discussion Papers.
    6. Garrett A. Johnson, 2022. "Economic Research on Privacy Regulation: Lessons from the GDPR and Beyond," NBER Chapters, in: The Economics of Privacy, National Bureau of Economic Research, Inc.
    7. Tat Chan & Naser Hamdi & Xiang Hui & Zhenling Jiang, 2022. "The Value of Verified Employment Data for Consumer Lending: Evidence from Equifax," Marketing Science, INFORMS, vol. 41(4), pages 795-814, July.
    8. Agur, Itai & Ari, Anil & Dell’Ariccia, Giovanni, 2022. "Designing central bank digital currencies," Journal of Monetary Economics, Elsevier, vol. 125(C), pages 62-79.
    9. Avi Goldfarb & Catherine Tucker, 2020. "Which Retail Outlets Generate the Most Physical Interactions?," NBER Working Papers 27042, National Bureau of Economic Research, Inc.
    10. Yuteng Cheng & Ryuichiro Izumi, 2023. "CBDC: Banking and Anonymity," Wesleyan Economics Working Papers 2023-002, Wesleyan University, Department of Economics.
    11. Koziuk Viktor & Ivashuk Yurii, 2022. "Does it Matter for CBDC Design? Privacy-Anonymity Preferences from the Side of Hierarchies and Egalitarian Cultural Patterns," Economics, Sciendo, vol. 10(1), pages 35-53, June.
    12. Olivier Armantier & Sebastian Doerr & Jon Frost & Andreas Fuster & Kelly Shue, 2024. "Nothing to hide? Gender and age differences in willingness to share data," Swiss Finance Institute Research Paper Series 24-99, Swiss Finance Institute.
    13. Jeffrey T. Prince & Scott Wallsten, 2022. "How much is privacy worth around the world and across platforms?," Journal of Economics & Management Strategy, Wiley Blackwell, vol. 31(4), pages 841-861, November.
    14. Ginger Zhe Jin, 2018. "Artificial Intelligence and Consumer Privacy," NBER Chapters, in: The Economics of Artificial Intelligence: An Agenda, pages 439-462, National Bureau of Economic Research, Inc.
    15. Michiel Bijlsma & Carin van der Cruijsen & Nicole Jonker, 2024. "Not all data are created equal - Data sharing and privacy," Applied Economics, Taylor & Francis Journals, vol. 56(11), pages 1250-1267, March.
    16. Mert Demirer & Diego Jimenez-Hernandez & Dean Li & Sida Peng, 2024. "Data, Privacy Laws and Firm Production: Evidence from the GDPR," Working Paper Series WP 2024-02, Federal Reserve Bank of Chicago.
    17. Morten Linnemann Bech & Rodney Garratt, 2017. "Central bank cryptocurrencies," BIS Quarterly Review, Bank for International Settlements, September.
    18. Juan D. Borrero & Jesús Mariscal, 2022. "A Case Study of a Digital Data Platform for the Agricultural Sector: A Valuable Decision Support System for Small Farmers," Agriculture, MDPI, vol. 12(6), pages 1-15, May.
    19. Guy Aridor & Yeon‐Koo Che & Tobias Salz, 2023. "The effect of privacy regulation on the data industry: empirical evidence from GDPR," RAND Journal of Economics, RAND Corporation, vol. 54(4), pages 695-730, December.
    20. Catherine Tucker, 2018. "Privacy, Algorithms, and Artificial Intelligence," NBER Chapters, in: The Economics of Artificial Intelligence: An Agenda, pages 423-437, National Bureau of Economic Research, Inc.
    21. Tesary Lin, 2022. "Valuing Intrinsic and Instrumental Preferences for Privacy," Marketing Science, INFORMS, vol. 41(4), pages 663-681, July.
    22. Kominers, Scott Duke & Teytelboym, Alexander & Crawford, Vincent P, 2017. "An invitation to market design," University of California at San Diego, Economics Working Paper Series qt3xp2110t, Department of Economics, UC San Diego.
    23. Rod Garratt & Maarten van Oordt, 2019. "Systemic Privacy as a Public Good: A Case for Electronic Cash," Staff Working Papers 19-24, Bank of Canada.
    24. Ran Zhuo & Bradley Huffaker & KC Claffy & Shane Greenstein, 2019. "The Impact of the General Data Protection Regulation on Internet Interconnection," NBER Working Papers 26481, National Bureau of Economic Research, Inc.
    25. Jin, Ginger Zhe & Wagman, Liad, 2021. "Big data at the crossroads of antitrust and consumer protection," Information Economics and Policy, Elsevier, vol. 54(C).
    26. Tesary Lin & Avner Strulov-Shlain, 2023. "Choice Architecture, Privacy Valuations, and Selection Bias in Consumer Data," Papers 2308.13496, arXiv.org.
    27. Amstad, Marlene, 2019. "Regulating Fintech: Objectives, Principles, and Practices," ADBI Working Papers 1016, Asian Development Bank Institute.
    28. Roland Strausz, 2024. "Consumer Consent Regulation," Berlin School of Economics Discussion Papers 0053, Berlin School of Economics.
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    30. Kinshuk Jerath & Klaus M. Miller, 2024. "Consumers' Perceived Privacy Violations in Online Advertising," Papers 2403.03612, arXiv.org, revised May 2024.
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    36. Michiel Bijlsma & Carin Cruijsen & Nicole Jonker, 2023. "Consumer Willingness to Share Payments Data: Trust for Sale?," Journal of Financial Services Research, Springer;Western Finance Association, vol. 64(1), pages 41-80, August.
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    54. Hemant K. Bhargava & Olivier Rubel & Elizabeth J. Altman & Ramnik Arora & Jörn Boehnke & Kaitlin Daniels & Timothy Derdenger & Bryan Kirschner & Darin LaFramboise & Pantelis Loupos & Geoffrey Parker &, 2020. "Platform data strategy," Marketing Letters, Springer, vol. 31(4), pages 323-334, December.
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    58. Avinash Collis & Alex Moehring & Ananya Sen, 2020. "Economic Value of Data: Quantification Using Online Experiments," Working Papers 20-13, NET Institute.
    59. Madeline Turland & Peter Slade, 2020. "Farmers' willingness to participate in a big data platform," Agribusiness, John Wiley & Sons, Ltd., vol. 36(1), pages 20-36, January.
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    61. Anil Savio Kavuri & Alistair Milne, 2019. "FinTech and the future of financial services: What are the research gaps?," CAMA Working Papers 2019-18, Centre for Applied Macroeconomic Analysis, Crawford School of Public Policy, The Australian National University.
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  49. Francisco J. R. Ruiz & Susan Athey & David M. Blei, 2017. "SHOPPER: A Probabilistic Model of Consumer Choice with Substitutes and Complements," Papers 1711.03560, arXiv.org, revised Jun 2019.

    Cited by:

    1. Dubois, Pierre & Griffith, Rachel & O'Connell, Martin, 2022. "The Use of Scanner Data for Economics Research," CEPR Discussion Papers 16954, C.E.P.R. Discussion Papers.
    2. Yu Xia & Ali Arian & Sriram Narayanamoorthy & Joshua Mabry, 2023. "RetailSynth: Synthetic Data Generation for Retail AI Systems Evaluation," Papers 2312.14095, arXiv.org.
    3. Susan Athey & David Blei & Robert Donnelly & Francisco Ruiz & Tobias Schmidt, 2018. "Estimating Heterogeneous Consumer Preferences for Restaurants and Travel Time Using Mobile Location Data," Papers 1801.07826, arXiv.org.

  50. Susan Athey & Guido Imbens & Thai Pham & Stefan Wager, 2017. "Estimating Average Treatment Effects: Supplementary Analyses and Remaining Challenges," Papers 1702.01250, arXiv.org.

    Cited by:

    1. Mullally, Conner & Chakravarty, Shourish, 2018. "Are Matching Funds for Smallholder Irrigation Money Well Spent?," SocArXiv x5vmz, Center for Open Science.
    2. Newham, Melissa & Valente, Marica, 2024. "The cost of influence: How gifts to physicians shape prescriptions and drug costs," Journal of Health Economics, Elsevier, vol. 95(C).
    3. Soumajyoti Sarkar & Hamidreza Alvari, 2020. "Mitigating Bias in Online Microfinance Platforms: A Case Study on Kiva.org," Papers 2006.12995, arXiv.org.
    4. Minkyung Kim & K. Sudhir & Kosuke Uetake, 2022. "A Structural Model of a Multitasking Salesforce: Incentives, Private Information, and Job Design," Management Science, INFORMS, vol. 68(6), pages 4602-4630, June.
    5. Kantha Dayaram & Alistair McGuire, 2019. "Retirement Reforms: Occupational Strain and Health," Industrial Relations: A Journal of Economy and Society, Wiley Blackwell, vol. 58(3), pages 522-542, July.
    6. Dong, C. & Gao, J. & Linton, O., 2018. "High Dimensional Semiparametric Moment Restriction Models," Cambridge Working Papers in Economics 1881, Faculty of Economics, University of Cambridge.
    7. Max H. Farrell & Tengyuan Liang & Sanjog Misra, 2018. "Deep Neural Networks for Estimation and Inference," Papers 1809.09953, arXiv.org, revised Sep 2019.
    8. Chunrong Ai & Oliver Linton & Kaiji Motegi & Zheng Zhang, 2019. "A Unified Framework for Efficient Estimation of General Treatment Models," CeMMAP working papers CWP64/19, Centre for Microdata Methods and Practice, Institute for Fiscal Studies.
    9. Yamin Ahmad & Adam Check & Ming Chien Lo, 2024. "Unit Roots in Macroeconomic Time Series: A Comparison of Classical, Bayesian and Machine Learning Approaches," Computational Economics, Springer;Society for Computational Economics, vol. 63(6), pages 2139-2173, June.
    10. Yi-Hau Chen & Szu-Yuan Hsu & Jie-Huei Wang & Chien-Chou Su, 2024. "Analyzing Treatment Effect by Integrating Existing Propensity Score and Outcome Regressions with Heterogeneous Covariate Sets," Mathematics, MDPI, vol. 12(14), pages 1-17, July.
    11. Costanza Naguib, 2023. "Is the Impact of Opening the Borders Heterogeneous?," Diskussionsschriften dp2312, Universitaet Bern, Departement Volkswirtschaft.
    12. Thai T. Pham & Yuanyuan Shen, 2017. "A Deep Causal Inference Approach to Measuring the Effects of Forming Group Loans in Online Non-profit Microfinance Platform," Papers 1706.02795, arXiv.org.
    13. Benjamin Jensen & Brandon Valeriano & Sam Whitt, 2024. "How cyber operations can reduce escalation pressures: Evidence from an experimental wargame study," Journal of Peace Research, Peace Research Institute Oslo, vol. 61(1), pages 119-133, January.
    14. Christian Hansen & Damian Kozbur & Sanjog Misra, 2016. "Targeted undersmoothing," ECON - Working Papers 282, Department of Economics - University of Zurich, revised Apr 2018.
    15. Pamela Giustinelli & Matthew D. Shapiro, 2024. "SeaTE: Subjective Ex Ante Treatment Effect of Health on Retirement," American Economic Journal: Applied Economics, American Economic Association, vol. 16(2), pages 278-317, April.
    16. Christian Stetter & Philipp Mennig & Johannes Sauer, 2022. "Using Machine Learning to Identify Heterogeneous Impacts of Agri-Environment Schemes in the EU: A Case Study," European Review of Agricultural Economics, Oxford University Press and the European Agricultural and Applied Economics Publications Foundation, vol. 49(4), pages 723-759.
    17. Bensch, Gunther & Kluve, Jochen & Stöterau, Jonathan, 2021. "The market-based dissemination of energy-access technologies as a business model for rural entrepreneurs: Evidence from Kenya," Resource and Energy Economics, Elsevier, vol. 66(C).
    18. Susan Athey & Guido W. Imbens, 2017. "The State of Applied Econometrics: Causality and Policy Evaluation," Journal of Economic Perspectives, American Economic Association, vol. 31(2), pages 3-32, Spring.
    19. Bryan T. Kelly & Asaf Manela & Alan Moreira, 2019. "Text Selection," NBER Working Papers 26517, National Bureau of Economic Research, Inc.
    20. Ying Deng & Qianqian Yue & Xin Zhao, 2024. "What Does Air Quality Information Disclosure Deliver and to Whom? Evidence from the Ambient Air Quality Standard (2012) Program in China," Environmental & Resource Economics, Springer;European Association of Environmental and Resource Economists, vol. 87(11), pages 2859-2887, November.
    21. Minkyung Kim & K. Sudhir & Kosuke Uetake, 2019. "A Structural Model of a Multitasking Salesforce: Multidimensional Incentives and Plan Design," Cowles Foundation Discussion Papers 2199R, Cowles Foundation for Research in Economics, Yale University, revised Apr 2021.
    22. Pedro Forquesato, 2022. "Who Benefits from Political Connections in Brazilian Municipalities," Papers 2204.09450, arXiv.org.
    23. Isabel Hovdahl, 2019. "On the use of machine learning for causal inference in climate economics," Working Papers No 05/2019, Centre for Applied Macro- and Petroleum economics (CAMP), BI Norwegian Business School.
    24. Josephson, Anna & Michler, Jeffrey D., 2018. "Viewpoint: Beasts of the field? Ethics in agricultural and applied economics," Food Policy, Elsevier, vol. 79(C), pages 1-11.
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    27. Marica Valente, 2021. "Policy Evaluation of Waste Pricing Programs Using Heterogeneous Causal Effect Estimation," Discussion Papers of DIW Berlin 1980, DIW Berlin, German Institute for Economic Research.
    28. Sookyo Jeong & Hongseok Namkoong, 2020. "Assessing External Validity Over Worst-case Subpopulations," Papers 2007.02411, arXiv.org, revised Feb 2022.

  51. Susan Athey & Mohsen Bayati & Nikolay Doudchenko & Guido Imbens & Khashayar Khosravi, 2017. "Matrix Completion Methods for Causal Panel Data Models," Papers 1710.10251, arXiv.org, revised Apr 2022.

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    1. Denis Fougère & Nicolas Jacquemet, 2020. "Policy Evaluation Using Causal Inference Methods," SciencePo Working papers Main hal-03455978, HAL.
    2. Finer, David Andrew, 2022. "No Shock Waves through Wall Street? Market Responses to the Risk of Nuclear War," Working Papers 318, The University of Chicago Booth School of Business, George J. Stigler Center for the Study of the Economy and the State.
    3. Dennis Shen & Peng Ding & Jasjeet Sekhon & Bin Yu, 2023. "Same Root Different Leaves: Time Series and Cross‐Sectional Methods in Panel Data," Econometrica, Econometric Society, vol. 91(6), pages 2125-2154, November.
    4. Eberhardt, Markus, 2022. "Democracy, growth, heterogeneity, and robustness," European Economic Review, Elsevier, vol. 147(C).
    5. Qihui Chen, 2022. "A Unified Framework for Estimation of High-dimensional Conditional Factor Models," Papers 2209.00391, arXiv.org.
    6. Subodha Kumar & Liangfei Qiu & Arun Sen & Atish P. Sinha, 2022. "Putting analytics into action in care coordination research: Emerging issues and potential solutions," Production and Operations Management, Production and Operations Management Society, vol. 31(6), pages 2714-2738, June.
    7. Andersson, Henrik & Blind, Ina & Brunåker, Fabian & Dahlberg, Matz & Fredriksson, Greta & Granath, Jakob & Liang, Che-Yuan, 2023. "What's in a Label? On Neighbourhood Labelling, Stigma and Housing Prices," SocArXiv xu759, Center for Open Science.
    8. Ivan Fernandez-Val & Hugo Freeman & Martin Weidner, 2020. "Low-rank approximations of nonseparable panel models," CeMMAP working papers CWP52/20, Centre for Microdata Methods and Practice, Institute for Fiscal Studies.
    9. Eli Ben-Michael & Avi Feller & Jesse Rothstein, 2019. "Synthetic Controls with Staggered Adoption," Papers 1912.03290, arXiv.org, revised Jan 2021.
    10. Rafaty, R. & Dolphin, G. & Pretis, F., 2020. "Carbon pricing and the elasticity of CO2 emissions," Cambridge Working Papers in Economics 20116, Faculty of Economics, University of Cambridge.
    11. Marc K. Chan & Simon S. Kwok, 2022. "The PCDID Approach: Difference-in-Differences When Trends Are Potentially Unparallel and Stochastic," Journal of Business & Economic Statistics, Taylor & Francis Journals, vol. 40(3), pages 1216-1233, June.
    12. Nuno Garoupa & Rok Spruk, 2024. "Populist Constitutional Backsliding and Judicial Independence: Evidence from Turkiye," Papers 2410.02439, arXiv.org.
    13. Yamin Ahmad & Adam Check & Ming Chien Lo, 2024. "Unit Roots in Macroeconomic Time Series: A Comparison of Classical, Bayesian and Machine Learning Approaches," Computational Economics, Springer;Society for Computational Economics, vol. 63(6), pages 2139-2173, June.
    14. Cahan, Ercument & Bai, Jushan & Ng, Serena, 2023. "Factor-based imputation of missing values and covariances in panel data of large dimensions," Journal of Econometrics, Elsevier, vol. 233(1), pages 113-131.
    15. Gert Bijnens & Shyngys Karimov & Jozef Konings, 2023. "Does Automatic Wage Indexation Destroy Jobs? A Machine Learning Approach," De Economist, Springer, vol. 171(1), pages 85-117, March.
    16. Peter G. Klein & Robert Wuebker, 2020. "Corporate diversification and innovation: Managerial myopia or inefficient internal capital markets?," Managerial and Decision Economics, John Wiley & Sons, Ltd., vol. 41(8), pages 1403-1416, December.
    17. Nicolaj N. Mühlbach, 2020. "Tree-based Synthetic Control Methods: Consequences of moving the US Embassy," CREATES Research Papers 2020-04, Department of Economics and Business Economics, Aarhus University.
    18. Katarzyna Bech & Magdalena Smyk & Lucas van der Velde & Joanna Tyrowicz, 2022. "Matching it up: non-standard work and job satisfaction," GRAPE Working Papers 72, GRAPE Group for Research in Applied Economics.
    19. Ruoxuan Xiong & Susan Athey & Mohsen Bayati & Guido Imbens, 2019. "Optimal Experimental Design for Staggered Rollouts," Papers 1911.03764, arXiv.org, revised Sep 2023.
    20. Florian Gunsilius, 2020. "Distributional synthetic controls," Papers 2001.06118, arXiv.org, revised Dec 2021.
    21. Mantovani, Andrea & Reggiani, Carlo & Broocks, Annette & Duch-Brown, Nestor & Ma, Peiyao, 2022. "The Price Effects of Banning Price Parity Clauses in the EU: Evidence from International Hotel Groups," TSE Working Papers 22-1371, Toulouse School of Economics (TSE).
    22. Dalia Ghanem & Pedro H. C. Sant'Anna & Kaspar Wuthrich, 2022. "Selection and parallel trends," Papers 2203.09001, arXiv.org, revised Mar 2024.
    23. Choi, Jungjun & Kwon, Hyukjun & Liao, Yuan, 2024. "Inference for low-rank completion without sample splitting with application to treatment effect estimation," Journal of Econometrics, Elsevier, vol. 240(1).
    24. Dmitry Arkhangelsky & Guido Imbens, 2018. "Fixed Effects and the Generalized Mundlak Estimator," Papers 1807.02099, arXiv.org, revised Aug 2023.
    25. Anil Kumar & Che-Yuan Liang, 2018. "Labor Market Effects of Credit Constraints: Evidence from a Natural Experiment," Working Papers 1810, Federal Reserve Bank of Dallas, revised 04 Feb 2023.
    26. Rong J. B. Zhu, 2023. "Synthetic Regressing Control Method," Papers 2306.02584, arXiv.org, revised Oct 2023.
    27. Anish Agarwal & Munther Dahleh & Devavrat Shah & Dennis Shen, 2021. "Causal Matrix Completion," Papers 2109.15154, arXiv.org.
    28. Ruofan Xu & Jiti Gao & Tatsushi Oka & Yoon-Jae Whang, 2022. "Estimation of Heterogeneous Treatment Effects Using Quantile Regression with Interactive Fixed Effects," Monash Econometrics and Business Statistics Working Papers 13/22, Monash University, Department of Econometrics and Business Statistics.
    29. Dmitry Arkhangelsky & Aleksei Samkov, 2024. "Sequential Synthetic Difference in Differences," Papers 2404.00164, arXiv.org.
    30. Gissur Ó Erlingsson & Jonas Klarin & Eva Mörk, 2024. "Does size matter? Evidence from municipal splits," Journal of Regional Science, Wiley Blackwell, vol. 64(3), pages 700-731, June.
    31. Susan Athey & Mohsen Bayati & Guido Imbens & Zhaonan Qu, 2019. "Ensemble Methods for Causal Effects in Panel Data Settings," NBER Working Papers 25675, National Bureau of Economic Research, Inc.
    32. Ramah Al Balawi & Yuheng Hu & Liangfei Qiu, 2023. "Brand Crisis and Customer Relationship Management on Social Media: Evidence from a Natural Experiment from the Airline Industry," Information Systems Research, INFORMS, vol. 34(2), pages 442-462, June.
    33. Feliu Serra-Burriel & Pedro Delicado & Fernando M. Cucchietti, 2021. "Wildfires Vegetation Recovery through Satellite Remote Sensing and Functional Data Analysis," Mathematics, MDPI, vol. 9(11), pages 1-22, June.
    34. Guido Imbens & Nathan Kallus & Xiaojie Mao, 2021. "Controlling for Unmeasured Confounding in Panel Data Using Minimal Bridge Functions: From Two-Way Fixed Effects to Factor Models," Papers 2108.03849, arXiv.org.
    35. Cengiz, Doruk & Tekgüç, Hasan, 2024. "Counterfactual reconciliation: Incorporating aggregation constraints for more accurate causal effect estimates," International Journal of Forecasting, Elsevier, vol. 40(2), pages 564-580.
    36. Retsef Levi & Elisabeth Paulson & Georgia Perakis & Emily Zhang, 2024. "Heterogeneous Treatment Effects in Panel Data," Papers 2406.05633, arXiv.org.
    37. Kirill Borusyak & Peter Hull, 2023. "Nonrandom Exposure to Exogenous Shocks," Econometrica, Econometric Society, vol. 91(6), pages 2155-2185, November.
    38. Xingyu Li & Yan Shen & Qiankun Zhou, 2022. "Confidence Intervals of Treatment Effects in Panel Data Models with Interactive Fixed Effects," Papers 2202.12078, arXiv.org.
    39. Victor Chernozhukov & Kaspar Wüthrich & Yinchu Zhu, 2021. "An Exact and Robust Conformal Inference Method for Counterfactual and Synthetic Controls," Journal of the American Statistical Association, Taylor & Francis Journals, vol. 116(536), pages 1849-1864, October.
    40. Ibtihal Ferwana & Lav R. Varshney, 2022. "Optimal Recovery for Causal Inference," Papers 2208.06729, arXiv.org, revised Dec 2023.
    41. Giulio Grossi, 2023. "The policy is always greener: impact heterogeneity of Covid-19 vaccination lotteries in the US," Statistical Methods & Applications, Springer;Società Italiana di Statistica, vol. 32(4), pages 1351-1375, October.
    42. Brantly Callaway & Sonia Karami, 2020. "Treatment Effects in Interactive Fixed Effects Models with a Small Number of Time Periods," Papers 2006.15780, arXiv.org, revised Feb 2022.
    43. Bennato, Anna Rita & Davies, Stephen & Mariuzzo, Franco & Ormosi, Peter, 2021. "Mergers and innovation: Evidence from the hard disk drive market," International Journal of Industrial Organization, Elsevier, vol. 77(C).
    44. Zongwu Cai & Ying Fang & Ming Lin & Zixuan Wu, 2023. "A Quasi Synthetic Control Method for Nonlinear Models With High-Dimensional Covariates," WORKING PAPERS SERIES IN THEORETICAL AND APPLIED ECONOMICS 202305, University of Kansas, Department of Economics, revised Aug 2023.
    45. David Gilchrist & Thomas Emery & Nuno Garoupa & Rok Spruk, 2023. "Synthetic Control Method: A tool for comparative case studies in economic history," Journal of Economic Surveys, Wiley Blackwell, vol. 37(2), pages 409-445, April.
    46. Jungjun Choi & Ming Yuan, 2023. "Matrix Completion When Missing Is Not at Random and Its Applications in Causal Panel Data Models," Papers 2308.02364, arXiv.org.
    47. Abhijit Mandal & Beste Hamiye Beyaztas & Soutir Bandyopadhyay, 2023. "Robust density power divergence estimates for panel data models," Annals of the Institute of Statistical Mathematics, Springer;The Institute of Statistical Mathematics, vol. 75(5), pages 773-798, October.
    48. Yong Cai, 2022. "Linear Regression with Centrality Measures," Papers 2210.10024, arXiv.org.
    49. Dallas Dotter & Duncan Chaplin & Maria Bartlett, "undated". "Impacts of School Reforms in Washington, DC on Student Achievement," Mathematica Policy Research Reports 44e95d7566434a21b8d57f951, Mathematica Policy Research.
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    84. Alberto Abadie & Jaume Vives-i-Bastida, 2022. "Synthetic Controls in Action," Papers 2203.06279, arXiv.org.
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    86. Petar Soric, 2024. "The euro and inflation in Croatia: much ado about nothing?," Public Sector Economics, Institute of Public Finance, vol. 48(1), pages 1-37.
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    97. Cerqua, Augusto & Letta, Marco, 2020. "Local economies amidst the COVID-19 crisis in Italy: a tale of diverging trajectories," MPRA Paper 104404, University Library of Munich, Germany.
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    112. Apoorva Lal & Daniel M Thompson, 2023. "Did Private Election Administration Funding Advantage Democrats in 2020?," Papers 2310.05275, arXiv.org.
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    121. Yiping Lu & Jiajin Li & Lexing Ying & Jose Blanchet, 2022. "Synthetic Principal Component Design: Fast Covariate Balancing with Synthetic Controls," Papers 2211.15241, arXiv.org.
    122. Alrababa’H, Ala’ & Marble, William & Mousa, Salma & Siegel, Alexandra A., 2021. "Can Exposure to Celebrities Reduce Prejudice? The Effect of Mohamed Salah on Islamophobic Behaviors and Attitudes," American Political Science Review, Cambridge University Press, vol. 115(4), pages 1111-1128, November.
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    124. Viviano, Davide & Bradic, Jelena, 2023. "Synthetic Learner: Model-free inference on treatments over time," Journal of Econometrics, Elsevier, vol. 234(2), pages 691-713.
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  52. Maria Dimakopoulou & Zhengyuan Zhou & Susan Athey & Guido Imbens, 2017. "Estimation Considerations in Contextual Bandits," Papers 1711.07077, arXiv.org, revised Dec 2018.

    Cited by:

    1. Caio Waisman & Harikesh S. Nair & Carlos Carrion, 2019. "Online Causal Inference for Advertising in Real-Time Bidding Auctions," Papers 1908.08600, arXiv.org, revised Feb 2024.
    2. Yusuke Narita & Shota Yasui & Kohei Yata, 2020. "Debiased Off-Policy Evaluation for Recommendation Systems," Papers 2002.08536, arXiv.org, revised Aug 2021.

  53. Wager, Stefan & Athey, Susan, 2017. "Estimation and Inference of Heterogeneous Treatment Effects Using Random Forests," Research Papers 3576, Stanford University, Graduate School of Business.

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    474. Jinyuan Liu & Xinlian Zhang & Tuo Lin & Ruohui Chen & Yuan Zhong & Tian Chen & Tsungchin Wu & Chenyu Liu & Anna Huang & Tanya T. Nguyen & Ellen E. Lee & Dilip V. Jeste & Xin M. Tu, 2024. "A new paradigm for high‐dimensional data: Distance‐based semiparametric feature aggregation framework via between‐subject attributes," Scandinavian Journal of Statistics, Danish Society for Theoretical Statistics;Finnish Statistical Society;Norwegian Statistical Association;Swedish Statistical Association, vol. 51(2), pages 672-696, June.
    475. Cousineau, Martin & Verter, Vedat & Murphy, Susan A. & Pineau, Joelle, 2023. "Estimating causal effects with optimization-based methods: A review and empirical comparison," European Journal of Operational Research, Elsevier, vol. 304(2), pages 367-380.
    476. Zhaomeng Chen & Junting Duan & Victor Chernozhukov & Vasilis Syrgkanis, 2024. "Automatic Doubly Robust Forests," Papers 2412.07184, arXiv.org.
    477. Davide Viviano, 2019. "Policy Targeting under Network Interference," Papers 1906.10258, arXiv.org, revised Apr 2024.
    478. Rahul Singh, 2020. "Kernel Methods for Unobserved Confounding: Negative Controls, Proxies, and Instruments," Papers 2012.10315, arXiv.org, revised Mar 2023.
    479. Sookyo Jeong & Hongseok Namkoong, 2020. "Assessing External Validity Over Worst-case Subpopulations," Papers 2007.02411, arXiv.org, revised Feb 2022.
    480. Maur,Jean-Christophe & Nedeljkovic,Milan & Von Uexkull,Jan Erik, 2022. "FDI and Trade Outcomes at the Industry Level—A Data-Driven Approach," Policy Research Working Paper Series 9901, The World Bank.
    481. Fengshi Niu & Harsha Nori & Brian Quistorff & Rich Caruana & Donald Ngwe & Aadharsh Kannan, 2022. "Differentially Private Estimation of Heterogeneous Causal Effects," Papers 2202.11043, arXiv.org.

  54. Athey, Susan & Tibshirani, Julie & Wager, Stefan, 2016. "Solving Heterogeneous Estimating Equations with Gradient Forests," Research Papers 3475, Stanford University, Graduate School of Business.

    Cited by:

    1. Libo Sun & Guodong Lyu & Yugang Yu & Chung‐Piaw Teo, 2020. "Fulfillment by Amazon versus fulfillment by seller: An interpretable risk‐adjusted fulfillment model," Naval Research Logistics (NRL), John Wiley & Sons, vol. 67(8), pages 627-645, December.

  55. Athey, Susan & Calvano, Emilio & Gans, Joshua S., 2016. "The Impact of Consumer Multi-homing on Advertising Markets and Media Competition," Research Papers 3407, Stanford University, Graduate School of Business.

    Cited by:

    1. Larbi Alaoui & Fabrizio Germano, 2014. "Time Scarcity and the Market for News," Working Papers 675, Barcelona School of Economics.
    2. Attila Ambrus & Emilio Calvano & Markus Reisinger, 2014. "Either or Both Competition: A "Two-sided" Theory of Advertising with Overlapping Viewerships," CSEF Working Papers 378, Centre for Studies in Economics and Finance (CSEF), University of Naples, Italy.
    3. Peitz, Martin & Reisinger, Markus, 2014. "The Economics of Internet Media," Working Papers 14-23, University of Mannheim, Department of Economics.
    4. Batikas, Michail & Claussen, Jörg & Peukert, Christian, 2017. "Follow The Money: Piracy and Online Advertising," 28th European Regional ITS Conference, Passau 2017 169448, International Telecommunications Society (ITS).
    5. Carmelo Cennamo & Hakan Ozalp & Tobias Kretschmer, 2018. "Platform Architecture and Quality Trade-offs of Multihoming Complements," Information Systems Research, INFORMS, vol. 29(2), pages 461-478, June.
    6. Carroni, Elias & Madio, Leonardo & Shekhar, Shiva, 2020. "Superstars in two-sided markets: exclusives or not?," TSE Working Papers 20-1083, Toulouse School of Economics (TSE).
    7. Liu, He & Amit, Raphael & Qiao, Han & Wang, Shouyang, 2024. "Digital platform compatibility strategies in platform co-opetition," Journal of Business Research, Elsevier, vol. 174(C).
    8. Alexandre de Corniere & Miklos Sarvary, 2017. "Social Media and the News Industry," Working Papers 17-07, NET Institute.
    9. Anna D'Annunzio & Antonio Russo, 2017. "Ad Networks and Consumer Tracking," CESifo Working Paper Series 6667, CESifo.
    10. Schweizer, Nikolaus & Szech, Nora, 2017. "Revenues and welfare in auctions with information release," Journal of Economic Theory, Elsevier, vol. 170(C), pages 86-111.
    11. Anderson, Simon P. & Jullien, Bruno, 2016. "The advertising-financed business model in two-sided media markets," TSE Working Papers 16-632, Toulouse School of Economics (TSE).
    12. Foros, Øystein & Kind, Hans Jarle & Wyndham, Tim, 2019. "Tax-free digital news?," International Journal of Industrial Organization, Elsevier, vol. 66(C), pages 119-136.
    13. Robert Seamans & Feng Zhu, 2017. "Repositioning and Cost-Cutting: The Impact of Competition on Platform Strategies," Strategy Science, INFORMS, vol. 2(2), pages 83-99, June.
    14. Hans Jarle Kind & Marko Köthenbürger, 2016. "Taxation in Digital Media Markets," CESifo Working Paper Series 6202, CESifo.
    15. Emilio Calvano & Mihele Polo, 2016. "Strategic Differentiation by Business Models: Free-to-Air and Pay-TV," CSEF Working Papers 438, Centre for Studies in Economics and Finance (CSEF), University of Naples, Italy, revised 07 Nov 2017.
    16. Yunhyoung Kim & Jeonghoon Mo, 2018. "Pricing of Digital Video Supply Chain: Free versus Paid Service on the Direct Distribution Channel," Sustainability, MDPI, vol. 11(1), pages 1-14, December.
    17. Shekhar, Shiva, 2020. "Zero Pricing Platform Competition," MPRA Paper 99364, University Library of Munich, Germany.
    18. Hana Choi & Carl F. Mela & Santiago R. Balseiro & Adam Leary, 2020. "Online Display Advertising Markets: A Literature Review and Future Directions," Information Systems Research, INFORMS, vol. 31(2), pages 556-575, June.
    19. Luis Aguiar Wicht, 2019. "Going Mobile: The Effects of Smartphone Usage on Internet Consumption," JRC Working Papers on Digital Economy 2019-07, Joint Research Centre.

  56. Susan Athey & Guido Imbens, 2016. "The Econometrics of Randomized Experiments," Papers 1607.00698, arXiv.org.

    Cited by:

    1. Karen Macours & Renos Vakis, 2016. "Sustaining Impacts When Transfers End: Women Leaders, Aspirations, and Investment in Children," NBER Working Papers 22871, National Bureau of Economic Research, Inc.
    2. Abhijit Banerjee & Sylvain Chassang & Sergio Montero & Erik Snowberg, 2017. "A Theory of Experimenters," CESifo Working Paper Series 6678, CESifo.
    3. Garance Genicot & Maria Hernandez de Benito, 2021. "Women's Land Rights and Village Institutions in Tanzania," Working Papers gueconwpa~21-21-21, Georgetown University, Department of Economics.
    4. Macours, Karen & Laajaj, Rachid, 2018. "Measuring Skills in Developing Countries," CEPR Discussion Papers 13271, C.E.P.R. Discussion Papers.
    5. Banerjee, Abhijit V. & Banerji, Rukmini & Berry, James & Duflo, Esther & Kannan, Harini & Mukerji, Shobhini & Shotland, Marc & Walton, Michael, 2016. "From Proof of Concept to Scalable Policies: Challenges and Solutions, with an Application," Working Paper Series rwp16-057, Harvard University, John F. Kennedy School of Government.
    6. Anell, Anders & Dietrichson, Jens & Ellegård, Lina Maria & Kjellsson, Gustav, 2017. "Information, Switching Costs, and Consumer Choice: Evidence from Two Randomized Field Experiments in Swedish Primary Health Care," Working Papers 2017:7, Lund University, Department of Economics, revised 27 Jun 2018.
    7. Rothstein, Jesse & Von Wachter, Till, 2016. "Social Experiments in the Labor Market," Department of Economics, Working Paper Series qt7957p9g6, Department of Economics, Institute for Business and Economic Research, UC Berkeley.
    8. Tom Coupé & W. Robert Reed & Christian Zimmerman, 2022. "Paving the Road for Replications: Experimental Results from an Online Research Repository," Working Papers in Economics 22/05, University of Canterbury, Department of Economics and Finance.
    9. Simon Burgess & Robert Metcalfe & Sally Sadoff, 2016. "Understanding the Response to Financial and Non-Financial Incentives in Education: Field Experimental Evidence Using High-Stakes Assessments," Bristol Economics Discussion Papers 16/678, School of Economics, University of Bristol, UK.
    10. Susan Athey & Guido W. Imbens, 2017. "The State of Applied Econometrics: Causality and Policy Evaluation," Journal of Economic Perspectives, American Economic Association, vol. 31(2), pages 3-32, Spring.
    11. Lechner, Michael & Strittmatter, Anthony & Knaus, Michael C., 2017. "Heterogeneous Employment Effects of Job Search Programmes: A Machine Learning Approach," CEPR Discussion Papers 12224, C.E.P.R. Discussion Papers.
    12. Weijia Dai & Hyunjin Kim & Michael Luca, 2016. "Which Firms Gain from Digital Advertising? Evidence from a Field Experiment," Harvard Business School Working Papers 17-025, Harvard Business School, revised Jan 2023.
    13. Tom Coupé & W. Robert Reed & Christian Zimmermann, 2021. "Paving the Road for Replications: Experimental Results from an Online Research Bibliography," Working Papers 2021-013, Federal Reserve Bank of St. Louis, revised 24 Feb 2022.
    14. Wesley Burnett, J. & Mothorpe, Christopher, 2021. "Human-induced earthquakes, risk salience, and housing values," Resource and Energy Economics, Elsevier, vol. 63(C).
    15. María Hernández de Benito, 2022. "This Is a Man’s World: Crime and Intra-Household Resource Allocation," HiCN Working Papers 372, Households in Conflict Network.
    16. Pranjal Rawat, 2023. "Algorithmic Collusion in Auctions: Evidence from Controlled Laboratory Experiments," Papers 2306.09437, arXiv.org, revised Jan 2025.
    17. Bharat K. Chandar & Ali Hortaçsu & John A. List & Ian Muir & Jeffrey M. Wooldridge, 2019. "Design and Analysis of Cluster-Randomized Field Experiments in Panel Data Settings," NBER Working Papers 26389, National Bureau of Economic Research, Inc.
    18. Johnsen, Åshild A. & Kvaløy, Ola, 2021. "Conspiracy against the public - An experiment on collusion11“People of the same trade seldom meet together, even for merriment and diversion, but the conversation ends in a conspiracy against the publ," Journal of Behavioral and Experimental Economics (formerly The Journal of Socio-Economics), Elsevier, vol. 94(C).
    19. Edeh, Hyacinth & Mavrotas, George, 2018. "Welfare Effect of Urea Deep Placement (UDP) Technology Adoption among Smallholder Rice Farmers in Kwara State, Nigeria – Analysis of a Randomized Control Trial Experiment," 92nd Annual Conference, April 16-18, 2018, Warwick University, Coventry, UK 273493, Agricultural Economics Society.
    20. Robinson, Carly D. & Lee, Monica G. & Dearing, Eric & Rogers, Todd, 2017. "Reducing Student Absenteeism in the Early Grades by Targeting Parental Beliefs," Working Paper Series rwp17-011, Harvard University, John F. Kennedy School of Government.
    21. Emma Riley, 2022. "Resisting Social Pressure in the Household Using Mobile Money: Experimental Evidence on Microenterprise Investment in Uganda," CSAE Working Paper Series 2022-04, Centre for the Study of African Economies, University of Oxford.
    22. Knowles, Stephen & Servátka, Maroš & Sullivan, Trudy & Genç, Murat, 2017. "Deadlines, Procrastination, and Forgetting in Charitable Tasks: A Field Experiment," MPRA Paper 83694, University Library of Munich, Germany.
    23. Masset, Edoardo & García-Hombrados, Jorge & Acharya, Arnab, 2020. "Aiming high and falling low: The SADA-Northern Ghana Millennium Village Project," Journal of Development Economics, Elsevier, vol. 143(C).
    24. Robinson, Carly D. & Gallus, Jana & Lee, Monica G. & Rogers, Todd, 2018. "The Demotivating Effect (and Unintended Message) of Retrospective Awards," Working Paper Series rwp18-020, Harvard University, John F. Kennedy School of Government.

  57. Susan Athey & Guido Imbens, 2016. "The State of Applied Econometrics - Causality and Policy Evaluation," Papers 1607.00699, arXiv.org.

    Cited by:

    1. Amit Sharma & Emre Kiciman, 2020. "DoWhy: An End-to-End Library for Causal Inference," Papers 2011.04216, arXiv.org.
    2. Mohammad Reza Farzanegan & Mohammad Ali Kadivar, 2021. "The Effect of Islamic Revolution and War on Income Inequality in Iran," CESifo Working Paper Series 9428, CESifo.
    3. Tatyana Deryugina & Garth Heutel & Nolan H. Miller & David Molitor & Julian Reif, 2019. "The Mortality and Medical Costs of Air Pollution: Evidence from Changes in Wind Direction," American Economic Review, American Economic Association, vol. 109(12), pages 4178-4219, December.
    4. Büchele, Stefan & Bünstorf, Guido & Cantner, Uwe & Dreier, Lukas & Meurer, Petra & Neumann, Liam Paul, 2024. "Commissioned project evaluations of research and innovation policy in Germany: A review," Studien zum deutschen Innovationssystem 11-2024, Expertenkommission Forschung und Innovation (EFI) - Commission of Experts for Research and Innovation, Berlin.
    5. Roman Horvath, 2020. "Natural Catastrophes and Financial Development: An Empirical Analysis," Working Papers IES 2020/14, Charles University Prague, Faculty of Social Sciences, Institute of Economic Studies, revised May 2020.
    6. Mohammad Reza Farzanegan, 2021. "Years of Life Lost to Revolution and War in Iran," CESifo Working Paper Series 9063, CESifo.
    7. Alexandre Sauquet, 2021. "Ex-post analysis of the crop diversification policy ofthe CAP Greening in France," Working Papers hal-03455548, HAL.
    8. Nathan, Max, 2019. "Does Light Touch Cluster Policy Work? Evaluating the Tech City Programme," IZA Discussion Papers 12631, Institute of Labor Economics (IZA).
    9. Eli Ben-Michael & Avi Feller & Jesse Rothstein, 2018. "The Augmented Synthetic Control Method," Papers 1811.04170, arXiv.org, revised Jul 2020.
    10. Sarah Cattan & Daniel A. Kamhöfer & Martin Karlsson & Therese Nilsson, 2021. "The short- and long-term effects of student absence: evidence from Sweden," IFS Working Papers W21/06, Institute for Fiscal Studies.
    11. Campos, Nauro F. & Coricelli, Fabrizio & Franceschi, Emanuele, 2021. "Institutional Integration and Productivity Growth: Evidence from the 1995 Enlargement of the European Union," IZA Discussion Papers 14834, Institute of Labor Economics (IZA).
    12. Eugenie Dugoua, 2023. "Induced innovation and international environmental agreements: Evidence from the ozone regime," CEP Discussion Papers dp1947, Centre for Economic Performance, LSE.
    13. Matthew A Cole & Robert J R Elliott & Bowen Liu, 2020. "The Impact of the Wuhan Covid-19 Lockdown on Air Pollution and Health: A Machine Learning and Augmented Synthetic Control Approach," Discussion Papers 20-09, Department of Economics, University of Birmingham.
    14. Minghui Fu & Chuanjiang Liu & Yuting Ma & Liukun Wang, 2022. "Does City Public Service Distance Increase Sense of Gain to Public Health Service? Evidence from 1394 Migrant Workers in Six Provinces," IJERPH, MDPI, vol. 19(10), pages 1-20, May.
    15. Faltings, Richard & Krumer, Alex & Lechner, Michael, 2019. "Rot-Jaune-Verde. Language and Favoritism: Evidence from Swiss Soccer," Economics Working Paper Series 1915, University of St. Gallen, School of Economics and Political Science.
    16. Masahiro Kato & Akari Ohda & Masaaki Imaizumi, 2023. "Asymptotically Unbiased Synthetic Control Methods by Distribution Matching," Papers 2307.11127, arXiv.org, revised May 2024.
    17. Hayakawa, Kazunobu & Keola, Souknilanh & Silaphet, Korrakoun & Yamanouchi, Kenta, 2022. "Estimating the impacts of international bridges on foreign firm locations: a machine learning approach," IDE Discussion Papers 847, Institute of Developing Economies, Japan External Trade Organization(JETRO).
    18. Fabio Santeramo & Dela-Dem Fiankor, 2023. "Revisiting the impact of per-unit duties on agricultural export prices," RSCAS Working Papers 2023/29, European University Institute.
    19. Jack Nicholson, 2023. "Replication of “Do state‐customized TANF work policies actually reduce unemployment?”," Social Science Quarterly, Southwestern Social Science Association, vol. 104(4), pages 887-906, July.
    20. Isil Erel & Léa H. Stern & Chenhao Tan & Michael S. Weisbach, 2018. "Selecting Directors Using Machine Learning," NBER Working Papers 24435, National Bureau of Economic Research, Inc.
    21. Shoji, Masahiro & Takafuji, Yoko & Harada, Tetsuya, 2019. "Formal Education and Disaster Response of Children: Evidence from Coastal Villages in Indonesia," MPRA Paper 93250, University Library of Munich, Germany.
    22. Tsang, Andrew, 2021. "Uncovering Heterogeneous Regional Impacts of Chinese Monetary Policy," WiSo-HH Working Paper Series 62, University of Hamburg, Faculty of Business, Economics and Social Sciences, WISO Research Laboratory.
    23. Riccardo Di Francesco, 2022. "Aggregation Trees," CEIS Research Paper 546, Tor Vergata University, CEIS, revised 20 Nov 2023.
    24. Lucke, Bernd & Rehfeldt, Erik, 2022. "How does expropriation affect FDI? A synthetic control analysis of oil and gas sector nationalizations in South America," MPRA Paper 115374, University Library of Munich, Germany.
    25. Christian Alemán & Christopher Busch & Alexander Ludwig & Raül Santaeulàlia-Llopis, 2023. "Stage-Based Identification of Policy Effects," CESifo Working Paper Series 10722, CESifo.
    26. Chu, Shuai & Liu, Xiangbo, 2021. "Do research universities boost regional economic development? - Evidence from China," GLO Discussion Paper Series 748, Global Labor Organization (GLO).
    27. Abrell, Jan & Kosch, Mirjam & Rausch, Sebastian, 2022. "How effective is carbon pricing?—A machine learning approach to policy evaluation," Journal of Environmental Economics and Management, Elsevier, vol. 112(C).
    28. Bertrand Candelon & Jean-Baptiste Hasse, 2023. "Testing for causality between climate policies and carbon emissions reduction," Post-Print hal-04104020, HAL.
    29. Lota Tamini & Ibrahima Bocoum & Ghislain Auger & Kotchikpa Gabriel Lawin & Arahama Traoré, 2019. "Enhanced Microfinance Services and Agricultural Best Management Practices: What Benefits for Smallholders Farmers? An Evidence from Burkina Faso," CIRANO Working Papers 2019s-11, CIRANO.
    30. Moustapha, Mahamat, 2024. "Oil boom, rent sharing, job prospects and human capital investment: Evidence from Chad," Energy Economics, Elsevier, vol. 133(C).
    31. Wumeng He & Orapan Nabangchang & Krista Erdman & Alex C. A. Vanko & Prapti Poudel & Chandra Giri & Jeffrey R. Vincent, 2023. "Inferring Economic Impacts from a Program’s Physical Outcomes: An Application to Forest Protection in Thailand," Environmental & Resource Economics, Springer;European Association of Environmental and Resource Economists, vol. 84(3), pages 845-876, March.
    32. de Rassenfosse, Gaétan & Grazzi, Marco & Moschella, Daniele & Pellegrino, Gabriele, 2022. "International patent protection and trade: Transaction-level evidence," European Economic Review, Elsevier, vol. 147(C).
    33. Gary Cornwall & Beau Sauley, 2021. "Indirect effects and causal inference: reconsidering regression discontinuity," Journal of Spatial Econometrics, Springer, vol. 2(1), pages 1-28, December.
    34. Michael Zimmert, 2018. "The Finite Sample Performance of Treatment Effects Estimators based on the Lasso," Papers 1805.05067, arXiv.org.
    35. Madadkhani, Shiva & Ikonnikova, Svetlana, 2024. "Toward high-resolution projection of electricity prices: A machine learning approach to quantifying the effects of high fuel and CO2 prices," Energy Economics, Elsevier, vol. 129(C).
    36. Ganserer, Angelika & Gregory, Terry & Zierahn, Ulrich, 2022. "Minimum wages and the rise in solo self-employment," ZEW Discussion Papers 22-024, ZEW - Leibniz Centre for European Economic Research.
    37. Owoye, Oluwole & Onafowora, Olugbenga A., 2024. "Democratic Public Governance and Economic Growth in Latin American Countries," Economia Internazionale / International Economics, Camera di Commercio Industria Artigianato Agricoltura di Genova, vol. 77(2), pages 293-326.
    38. Escobari, Diego & Hoover, Gary A., 2024. "Late-Arriving Votes and Electoral Fraud: A Natural Experiment and Regression Discontinuity Evidence from Bolivia," World Development, Elsevier, vol. 173(C).
    39. Lee, Jiyon, 2018. "A spatial latent class model," Economics Letters, Elsevier, vol. 162(C), pages 62-68.
    40. Isabel Busom & Jorge Vélez-Ospina, 2020. "Subsidising Innovation over the Business Cycle," SPRU Working Paper Series 2020-09, SPRU - Science Policy Research Unit, University of Sussex Business School.
    41. M. Mouchart & R. Orsi & G. Wunsch, 2020. "Causality in Econometric Modeling. From Theory to Structural Causal Modeling," Working Papers wp1143, Dipartimento Scienze Economiche, Universita' di Bologna.
    42. Ying Liu & Haoran Zhao & Jieguang Sun & Yahui Tang, 2022. "Digital Inclusive Finance and Family Wealth: Evidence from LightGBM Approach," Sustainability, MDPI, vol. 14(22), pages 1-19, November.
    43. Coveney, Max & Oosterveen, Matthijs, 2021. "What drives ability peer effects?," European Economic Review, Elsevier, vol. 136(C).
    44. Ikeme, Sionegael & Han, Doo Bong, 2021. "The Impacts of the EU Integration on Food Production in Baltic Countries," 2021 Annual Meeting, August 1-3, Austin, Texas 313989, Agricultural and Applied Economics Association.
    45. Alice Lépissier & Matto Mildenberger, 2021. "Unilateral climate policies can substantially reduce national carbon pollution," Climatic Change, Springer, vol. 166(3), pages 1-21, June.
    46. Nikolas Kuschnig & Gregor Zens & Jesús Crespo Cuaresma, 2021. "Hidden in Plain Sight: Influential Sets in Linear Models," CESifo Working Paper Series 8981, CESifo.
    47. Knaus, Michael C., 2020. "Double Machine Learning Based Program Evaluation under Unconfoundedness," IZA Discussion Papers 13051, Institute of Labor Economics (IZA).
    48. Dalmazzo, Alberto & de Blasio, Guido & Poy, Samuele, 2018. "Local secessions, homophily, and growth. A model with some evidence from the regions of Abruzzo and Molise (Italy, 1963)," Journal of Economic Behavior & Organization, Elsevier, vol. 151(C), pages 284-306.
    49. Becker, Martin & Klößner, Stefan, 2018. "Fast and reliable computation of generalized synthetic controls," Econometrics and Statistics, Elsevier, vol. 5(C), pages 1-19.
    50. Orhan Erdem & Sukran Erdem & Kelly Monson, 2023. "Children, vaccines, and financial incentives," International Journal of Health Economics and Management, Springer, vol. 23(4), pages 537-552, December.
    51. Bibek Adhikari & Mr. Romain A Duval & Bingjie Hu & Mr. Prakash Loungani, 2016. "Can Reform Waves Turn the Tide? Some Case Studies Using the Synthetic Control Method," IMF Working Papers 2016/171, International Monetary Fund.
    52. Nils Verheuvel & Joost Witteman & Marilou Vlaanderen, 2023. "Synthetic Control Method for Dutch Policy Evaluation," De Economist, Springer, vol. 171(1), pages 51-83, March.
    53. Albert Whata & Charles Chimedza, 2021. "Credibility of Causal Estimates from Regression Discontinuity Designs with Multiple Assignment Variables," Stats, MDPI, vol. 4(4), pages 1-23, November.
    54. Dugoua, Eugenie, 2021. "Induced innovation and international environmental agreements: evidence from the Ozone regime," LSE Research Online Documents on Economics 110859, London School of Economics and Political Science, LSE Library.
    55. Bonacini, Luca, 2020. "Unequal effects of the economic cycle on human capital investment. Evidence from Italian panel data," GLO Discussion Paper Series 733, Global Labor Organization (GLO).
    56. Daria Denti & Simona Iammarino, 2020. "Coming out of the woods. Do local support services influence the propensity to report sexual violence?," Discussion Paper series in Regional Science & Economic Geography 2020-03, Gran Sasso Science Institute, Social Sciences, revised Jun 2020.
    57. Lucke, Bernd, 2022. "Growth Effects of European Monetary Union: A Synthetic Control Approach," MPRA Paper 120662, University Library of Munich, Germany, revised 27 Mar 2024.
    58. Fabiana Rocha & Maria Dolores Montoya Diaz & Paula Carvalho Pereda & Isadora Bousquat Arabe & Filipe Cavalcanti & Samuel Lordemus & Noemi Kreif & Rodrigo Moreno-Serra, 2024. "COVID-19 and gender-biased violence: current knowledge, gaps, and implications for public policy," Working Papers, Department of Economics 2024_14, University of São Paulo (FEA-USP).
    59. Nadine McCloud & Ajornie Taylor, 2022. "Does inflation targeting matter for international trade? A synthetic control analysis," Empirical Economics, Springer, vol. 63(5), pages 2427-2478, November.
    60. Manthos Delis & Emilios Galariotis & Jerome Monne, 2021. "Economic condition and financial cognition," Post-Print hal-03091630, HAL.
    61. Angelo Cozzubo & Elard Amaya & Juan Cueto, 2021. "The social costs of crime: the erosion of trust between citizens and public institutions," Economics of Governance, Springer, vol. 22(2), pages 93-117, June.
    62. Zarepour, Zahra & Wagner, Natascha, 2022. "Cash instead of subsidy: Assessing the impact of the iranian energy subsidy reform on households," Energy Policy, Elsevier, vol. 168(C).
    63. Bruno Ferman, 2021. "On the Properties of the Synthetic Control Estimator with Many Periods and Many Controls," Journal of the American Statistical Association, Taylor & Francis Journals, vol. 116(536), pages 1764-1772, October.
    64. Kandel, Pratikshya & Pandit, Ram & White, Benedict, 2024. "Impacts of buffer zone policy on household income: Evidence from Chitwan National Park, Nepal," Land Use Policy, Elsevier, vol. 146(C).
    65. Bok Baik & Omri Even‐Tov & Russell Han & David Park, 2024. "The Real Effects of Supply Chain Transparency Regulation: Evidence from Section 1502 of the Dodd–Frank Act," Journal of Accounting Research, Wiley Blackwell, vol. 62(2), pages 551-587, May.
    66. Hui Chen & Winston Wei Dou & Leonid Kogan, 2024. "Measuring “Dark Matter” in Asset Pricing Models," Journal of Finance, American Finance Association, vol. 79(2), pages 843-902, April.
    67. Tatiana de Macedo Nogueira Lima, 2022. "Documento de Trabalho 03/2022 - Aprendizado de máquina e antitruste," Documentos de Trabalho 2022030, Conselho Administrativo de Defesa Econômica (Cade), Departamento de Estudos Econômicos.
    68. Dugoua, Eugenie, 2023. "Induced innovation and international environmental agreements: evidence from the Ozone Regime," LSE Research Online Documents on Economics 120482, London School of Economics and Political Science, LSE Library.
    69. Lechner, Michael, 2019. "Modified Causal Forests for Estimating Heterogeneous Causal Effects," CEPR Discussion Papers 13430, C.E.P.R. Discussion Papers.
    70. Rocha, Fabiana & Diaz, Maria Dolores Montoya & Pereda, Paula Carvalho & Árabe, Isadora Bousquat & Cavalcanti, Filipe & Lordemus, Samuel & Kreif, Noemi & Moreno-Serra, Rodrigo, 2024. "COVID-19 and violence against women: Current knowledge, gaps, and implications for public policy," World Development, Elsevier, vol. 174(C).
    71. Böckerman, Petri & Haapanen, Mika & Jepsen, Christopher, 2019. "Back to school: Labor-market returns to higher vocational schooling," Labour Economics, Elsevier, vol. 61(C).
    72. Dionissi Aliprantis & Francisca G.-C. Richter, 2020. "Evidence of Neighborhood Effects from Moving to Opportunity: Lates of Neighborhood Quality," The Review of Economics and Statistics, MIT Press, vol. 102(4), pages 633-647, October.
    73. Fernández, Violeta & Pietrelli, Rebecca & Torero, Maximo, 2024. "Youth and digital agriculture: Do they pass the message to the family? Experimental evidence from Uganda," IAAE 2024 Conference, August 2-7, 2024, New Delhi, India 344380, International Association of Agricultural Economists (IAAE).
    74. Netta Barak‐Corren & Yoav Kan‐Tor & Nelson Tebbe, 2022. "Examining the effects of antidiscrimination laws on children in the foster care and adoption systems," Journal of Empirical Legal Studies, John Wiley & Sons, vol. 19(4), pages 1003-1066, December.
    75. Justman, Moshe, 2018. "Randomized controlled trials informing public policy: Lessons from project STAR and class size reduction," European Journal of Political Economy, Elsevier, vol. 54(C), pages 167-174.
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    2. Faltings, Richard & Krumer, Alex & Lechner, Michael, 2019. "Rot-Jaune-Verde. Language and Favoritism: Evidence from Swiss Soccer," Economics Working Paper Series 1915, University of St. Gallen, School of Economics and Political Science.
    3. Guber, Raphael, 2018. "Instrument Validity Tests with Causal Trees: With an Application to the Same-sex Instrument," MEA discussion paper series 201805, Munich Center for the Economics of Aging (MEA) at the Max Planck Institute for Social Law and Social Policy.
    4. Newham, Melissa & Valente, Marica, 2024. "The cost of influence: How gifts to physicians shape prescriptions and drug costs," Journal of Health Economics, Elsevier, vol. 95(C).
    5. Miruna Oprescu & Vasilis Syrgkanis & Zhiwei Steven Wu, 2018. "Orthogonal Random Forest for Causal Inference," Papers 1806.03467, arXiv.org, revised Sep 2019.
    6. Macours, Karen & Behaghel, Luc & Gignoux, Jérémie, 2020. "Social learning in agriculture: does smallholder heterogeneity impede technology diffusion in Sub-Saharan Africa?," CEPR Discussion Papers 15220, C.E.P.R. Discussion Papers.
    7. Michael R. Carter & Emilia Tjernström & Patricia Toledo, 2016. "Heterogeneous Impact Dynamics of a Rural Business Development Program in Nicaragua," NBER Working Papers 22628, National Bureau of Economic Research, Inc.
    8. Lechner, Michael, 2019. "Modified Causal Forests for Estimating Heterogeneous Causal Effects," CEPR Discussion Papers 13430, C.E.P.R. Discussion Papers.
    9. Maria Dimakopoulou & Zhengyuan Zhou & Susan Athey & Guido Imbens, 2017. "Estimation Considerations in Contextual Bandits," Papers 1711.07077, arXiv.org, revised Dec 2018.
    10. Lechner, Michael & Okasa, Gabriel, 2019. "Random Forest Estimation of the Ordered Choice Model," Economics Working Paper Series 1908, University of St. Gallen, School of Economics and Political Science.
    11. Farbmacher, Helmut & Kögel, Heinrich & Spindler, Martin, 2021. "Heterogeneous effects of poverty on attention," Labour Economics, Elsevier, vol. 71(C).
    12. Gabriel Okasa, 2022. "Meta-Learners for Estimation of Causal Effects: Finite Sample Cross-Fit Performance," Papers 2201.12692, arXiv.org.
    13. Daniel Goller & Michael C. Knaus & Michael Lechner & Gabriel Okasa, 2021. "Predicting match outcomes in football by an Ordered Forest estimator," Chapters, in: Ruud H. Koning & Stefan Kesenne (ed.), A Modern Guide to Sports Economics, chapter 22, pages 335-355, Edward Elgar Publishing.
    14. Lechner, Michael & Knaus, Michael C. & Strittmatter, Anthony, 2018. "Machine Learning Estimation of Heterogeneous Causal Effects: Empirical Monte Carlo Evidence," CEPR Discussion Papers 13402, C.E.P.R. Discussion Papers.
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    16. Uguccioni, James, 2022. "The long-run effects of parental unemployment in childhood," CLEF Working Paper Series 45, Canadian Labour Economics Forum (CLEF), University of Waterloo.
    17. Du, Tianyu & Kanodia, Ayush & Brunborg, Herman & Vafa, Keyon & Athey, Susan, 2024. "Labor-LLM: Language-Based Occupational Representations with Large Language Models," Research Papers 4188, Stanford University, Graduate School of Business.
    18. Strittmatter, Anthony, 2023. "What is the value added by using causal machine learning methods in a welfare experiment evaluation?," Labour Economics, Elsevier, vol. 84(C).
    19. Kea BARET, 2021. "Fiscal rules’ compliance and Social Welfare," Working Papers of BETA 2021-38, Bureau d'Economie Théorique et Appliquée, UDS, Strasbourg.
    20. Di Fang & Michael R. Thomsen & Rodolfo M. Nayga & Aaron M. Novotny, 2019. "WIC Participation and Relative Quality of Household Food Purchases: Evidence from FoodAPS," Southern Economic Journal, John Wiley & Sons, vol. 86(1), pages 83-105, July.
    21. Isaiah Hull & Anna Grodecka-Messi, 2022. "Measuring the Impact of Taxes and Public Services on Property Values: A Double Machine Learning Approach," Papers 2203.14751, arXiv.org.
    22. Jonathan A. Cook & Saad Siddiqui, 2020. "Random forests and selected samples," Bulletin of Economic Research, Wiley Blackwell, vol. 72(3), pages 272-287, July.
    23. Ingar K. Haaland & Christopher Roth, 2020. "Labor Market Concerns and Support for Immigration," CESifo Working Paper Series 8401, CESifo.
    24. Grodecka, Anna & Hull, Isaiah, 2019. "The Impact of Local Taxes and Public Services on Property Values," Working Paper Series 374, Sveriges Riksbank (Central Bank of Sweden).
    25. Rina Friedberg & Julie Tibshirani & Susan Athey & Stefan Wager, 2018. "Local Linear Forests," Papers 1807.11408, arXiv.org, revised Sep 2020.
    26. Alexander Hanbo Li & Jelena Bradic, 2019. "Censored Quantile Regression Forests," Papers 1902.03327, arXiv.org.
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    28. Subhadeep & Mukhopadhyay & Kaijun Wang, 2020. "Breiman's "Two Cultures" Revisited and Reconciled," Papers 2005.13596, arXiv.org.
    29. Marica Valente, 2021. "Policy Evaluation of Waste Pricing Programs Using Heterogeneous Causal Effect Estimation," Discussion Papers of DIW Berlin 1980, DIW Berlin, German Institute for Economic Research.
    30. Martin Hodula & Milan Szabo & Lukas Pfeifer & Martin Melecky, 2022. "Cooling the Mortgage Loan Market: The Effect of Recommended Borrower-Based Limits on New Mortgage Lending," Working Papers 2022/3, Czech National Bank.
    31. Kayo MURAKAMI & Hideki SHIMADA & Yoshiaki USHIFUSA & Takanori IDA, 2020. "Heterogeneous Treatment Effects of Nudge and Rebate:Causal Machine Learning in a Field Experiment on Electricity Conservation," Discussion papers e-20-003, Graduate School of Economics , Kyoto University.

  59. Susan Athey & Guido W. Imbens & Stefan Wager, 2016. "Approximate Residual Balancing: De-Biased Inference of Average Treatment Effects in High Dimensions," Papers 1604.07125, arXiv.org, revised Jan 2018.

    Cited by:

    1. Yimin Dai & Ying Yan, 2024. "Mahalanobis balancing: A multivariate perspective on approximate covariate balancing," Scandinavian Journal of Statistics, Danish Society for Theoretical Statistics;Finnish Statistical Society;Norwegian Statistical Association;Swedish Statistical Association, vol. 51(4), pages 1450-1471, December.
    2. Eli Ben-Michael & Avi Feller & Jesse Rothstein, 2018. "The Augmented Synthetic Control Method," Papers 1811.04170, arXiv.org, revised Jul 2020.
    3. Max H. Farrell & Tengyuan Liang & Sanjog Misra, 2021. "Deep Neural Networks for Estimation and Inference," Econometrica, Econometric Society, vol. 89(1), pages 181-213, January.
    4. M. Chatib Basri & Mayara Felix & Rema Hanna & Benjamin A. Olken, 2019. "Tax Administration vs. Tax Rates: Evidence from Corporate Taxation in Indonesia," NBER Working Papers 26150, National Bureau of Economic Research, Inc.
    5. Layla Parast & Tianxi Cai & Lu Tian, 2021. "Evaluating multiple surrogate markers with censored data," Biometrics, The International Biometric Society, vol. 77(4), pages 1315-1327, December.
    6. Michael C. Knaus, 2018. "A Double Machine Learning Approach to Estimate the Effects of Musical Practice on Student's Skills," Papers 1805.10300, arXiv.org, revised Jan 2019.
    7. Anna Baiardi & Andrea A Naghi, 2024. "The value added of machine learning to causal inference: evidence from revisited studies," The Econometrics Journal, Royal Economic Society, vol. 27(2), pages 213-234.
    8. Michael Zimmert, 2018. "The Finite Sample Performance of Treatment Effects Estimators based on the Lasso," Papers 1805.05067, arXiv.org.
    9. Büchler, Simon & Lutz, Elena, 2024. "Making housing affordable? The local effects of relaxing land-use regulation," Journal of Urban Economics, Elsevier, vol. 143(C).
    10. Huber, Martin, 2019. "An introduction to flexible methods for policy evaluation," FSES Working Papers 504, Faculty of Economics and Social Sciences, University of Freiburg/Fribourg Switzerland.
    11. Kyle Colangelo & Ying-Ying Lee, 2019. "Double debiased machine learning nonparametric inference with continuous treatments," CeMMAP working papers CWP54/19, Centre for Microdata Methods and Practice, Institute for Fiscal Studies.
    12. Dmitry Arkhangelsky & Susan Athey & David A. Hirshberg & Guido W. Imbens & Stefan Wager, 2019. "Synthetic Difference In Differences," NBER Working Papers 25532, National Bureau of Economic Research, Inc.
    13. Knaus, Michael C., 2020. "Double Machine Learning Based Program Evaluation under Unconfoundedness," IZA Discussion Papers 13051, Institute of Labor Economics (IZA).
    14. Dasom Lee & Shu Yang & Lin Dong & Xiaofei Wang & Donglin Zeng & Jianwen Cai, 2023. "Improving trial generalizability using observational studies," Biometrics, The International Biometric Society, vol. 79(2), pages 1213-1225, June.
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    17. Rahul Singh, 2021. "Kernel Ridge Riesz Representers: Generalization, Mis-specification, and the Counterfactual Effective Dimension," Papers 2102.11076, arXiv.org, revised Jul 2024.
    18. Tatiana de Macedo Nogueira Lima, 2022. "Documento de Trabalho 03/2022 - Aprendizado de máquina e antitruste," Documentos de Trabalho 2022030, Conselho Administrativo de Defesa Econômica (Cade), Departamento de Estudos Econômicos.
    19. David Bruns-Smith & Oliver Dukes & Avi Feller & Elizabeth L. Ogburn, 2023. "Augmented balancing weights as linear regression," Papers 2304.14545, arXiv.org, revised Jun 2024.
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    23. Brett R. Gordon & Florian Zettelmeyer & Neha Bhargava & Dan Chapsky, 2019. "A Comparison of Approaches to Advertising Measurement: Evidence from Big Field Experiments at Facebook," Marketing Science, INFORMS, vol. 38(2), pages 193-225, March.
    24. Guido Imbens & Yiqing Xu, 2024. "LaLonde (1986) after Nearly Four Decades: Lessons Learned," Papers 2406.00827, arXiv.org, revised Jun 2024.
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    29. Kyle Colangelo & Ying-Ying Lee, 2020. "Double Debiased Machine Learning Nonparametric Inference with Continuous Treatments," Papers 2004.03036, arXiv.org, revised Sep 2023.
    30. Susan Athey & Guido W. Imbens & Jonas Metzger & Evan M. Munro, 2019. "Using Wasserstein Generative Adversarial Networks for the Design of Monte Carlo Simulations," NBER Working Papers 26566, National Bureau of Economic Research, Inc.
    31. Michael Lechner & Jana Mareckova, 2024. "Comprehensive Causal Machine Learning," Papers 2405.10198, arXiv.org.
    32. Michael Zimmert, 2018. "Efficient Difference-in-Differences Estimation with High-Dimensional Common Trend Confounding," Papers 1809.01643, arXiv.org, revised Aug 2020.
    33. Davide Viviano & Jelena Bradic, 2019. "Synthetic learner: model-free inference on treatments over time," Papers 1904.01490, arXiv.org, revised Aug 2022.
    34. Yuqian Zhang & Weijie Ji & Jelena Bradic, 2021. "Dynamic treatment effects: high-dimensional inference under model misspecification," Papers 2111.06818, arXiv.org, revised Jun 2023.
    35. Max H. Farrell & Tengyuan Liang & Sanjog Misra, 2020. "Deep Learning for Individual Heterogeneity: An Automatic Inference Framework," Papers 2010.14694, arXiv.org, revised Jul 2021.
    36. Chunrong Ai & Oliver Linton & Kaiji Motegi & Zheng Zhang, 2019. "A Unified Framework for Efficient Estimation of General Treatment Models," CeMMAP working papers CWP64/19, Centre for Microdata Methods and Practice, Institute for Fiscal Studies.
    37. Ganesh Karapakula, 2023. "Stable Probability Weighting: Large-Sample and Finite-Sample Estimation and Inference Methods for Heterogeneous Causal Effects of Multivalued Treatments Under Limited Overlap," Papers 2301.05703, arXiv.org, revised Jan 2023.
    38. Martin Wiegand, 2019. "Do early-ending conditional cash transfer programs crowd out school enrollment?," Tinbergen Institute Discussion Papers 19-053/V, Tinbergen Institute.
    39. Lenz, Gabriel & Sahn, Alexander, 2017. "Achieving Statistical Significance with Covariates and without Transparency," MetaArXiv s42ba, Center for Open Science.
    40. Roy Cerqueti & Raffaella Coppier & Alessandro Girardi & Marco Ventura, 2022. "The sooner the better: lives saved by the lockdown during the COVID-19 outbreak. The case of Italy," The Econometrics Journal, Royal Economic Society, vol. 25(1), pages 46-70.
    41. Liu, Shouying & Ma, Sen & Yin, Lijuan & Zhu, Jiong, 2023. "Land titling, human capital misallocation, and agricultural productivity in China," Journal of Development Economics, Elsevier, vol. 165(C).
    42. Xinkun Nie & Guido Imbens & Stefan Wager, 2021. "Covariate Balancing Sensitivity Analysis for Extrapolating Randomized Trials across Locations," Papers 2112.04723, arXiv.org.
    43. Rahul Singh & Liyang Sun, 2019. "Double Robustness for Complier Parameters and a Semiparametric Test for Complier Characteristics," Papers 1909.05244, arXiv.org, revised Dec 2022.
    44. Dmitry Arkhangelsky & David Hirshberg, 2023. "Large-Sample Properties of the Synthetic Control Method under Selection on Unobservables," Papers 2311.13575, arXiv.org, revised Dec 2023.
    45. Martin Cousineau & Vedat Verter & Susan A. Murphy & Joelle Pineau, 2022. "Estimating causal effects with optimization-based methods: A review and empirical comparison," Papers 2203.00097, arXiv.org.
    46. Kaiwen Hou & David Hou & Yang Ouyang & Lulu Zhang & Aster Liu, 2022. "Crises Do Not Cause Lower Short-Term Growth," Papers 2211.04558, arXiv.org, revised Nov 2022.
    47. Rahul Singh & Liyuan Xu & Arthur Gretton, 2020. "Kernel Methods for Causal Functions: Dose, Heterogeneous, and Incremental Response Curves," Papers 2010.04855, arXiv.org, revised Oct 2022.
    48. Shengfei Tang & Yanmei Shi & Qi Zhang, 2023. "Bias-Corrected Inference of High-Dimensional Generalized Linear Models," Mathematics, MDPI, vol. 11(4), pages 1-14, February.
    49. Guido W. Imbens, 2022. "Causality in Econometrics: Choice vs Chance," Econometrica, Econometric Society, vol. 90(6), pages 2541-2566, November.
    50. D’Amour, Alexander & Ding, Peng & Feller, Avi & Lei, Lihua & Sekhon, Jasjeet, 2021. "Overlap in observational studies with high-dimensional covariates," Journal of Econometrics, Elsevier, vol. 221(2), pages 644-654.
    51. Davide Viviano & Jelena Bradic, 2021. "Dynamic covariate balancing: estimating treatment effects over time with potential local projections," Papers 2103.01280, arXiv.org, revised Jan 2024.
    52. Chen, Jiafeng & Ritzwoller, David M., 2023. "Semiparametric estimation of long-term treatment effects," Journal of Econometrics, Elsevier, vol. 237(2).
    53. Kyle Colangelo & Ying-Ying Lee, 2019. "Double debiased machine learning nonparametric inference with continuous treatments," CeMMAP working papers CWP72/19, Centre for Microdata Methods and Practice, Institute for Fiscal Studies.
    54. Dmitry Arkhangelsky & Guido Imbens, 2023. "Causal Models for Longitudinal and Panel Data: A Survey," Papers 2311.15458, arXiv.org, revised Jun 2024.
    55. Victor Chernozhukov & Whitney Newey & Rahul Singh & Vasilis Syrgkanis, 2020. "Adversarial Estimation of Riesz Representers," Papers 2101.00009, arXiv.org, revised Apr 2024.
    56. Furno, Marilena, 2021. "The synthetic control approach: Multivalued treatments at the quantiles," Research in Economics, Elsevier, vol. 75(1), pages 7-20.
    57. Joseph Antonelli & Georgia Papadogeorgou & Francesca Dominici, 2022. "Causal inference in high dimensions: A marriage between Bayesian modeling and good frequentist properties," Biometrics, The International Biometric Society, vol. 78(1), pages 100-114, March.
    58. Harold D. Chiang, 2018. "Many Average Partial Effects: with An Application to Text Regression," Papers 1812.09397, arXiv.org, revised Jan 2022.
    59. Vahe Avagyan & Stijn Vansteelandt, 2021. "Stable inverse probability weighting estimation for longitudinal studies," Scandinavian Journal of Statistics, Danish Society for Theoretical Statistics;Finnish Statistical Society;Norwegian Statistical Association;Swedish Statistical Association, vol. 48(3), pages 1046-1067, September.
    60. Xingyu Chen & Lin Liu & Rajarshi Mukherjee, 2024. "Method-of-Moments Inference for GLMs and Doubly Robust Functionals under Proportional Asymptotics," Papers 2408.06103, arXiv.org.
    61. Sviták, Jan & Tichem, Jan & Haasbeek, Stefan, 2021. "Price effects of search advertising restrictions," International Journal of Industrial Organization, Elsevier, vol. 77(C).
    62. Michael Pollmann, 2020. "Causal Inference for Spatial Treatments," Papers 2011.00373, arXiv.org, revised Jan 2023.
    63. Ashesh Rambachan & Rahul Singh & Davide Viviano, 2024. "Program Evaluation with Remotely Sensed Outcomes," Papers 2411.10959, arXiv.org.
    64. Dongcheng Zhang & Kunpeng Zhang, 2020. "Weighting-Based Treatment Effect Estimation via Distribution Learning," Papers 2012.13805, arXiv.org, revised May 2023.
    65. María de los Angeles Resa & José R. Zubizarreta, 2020. "Direct and stable weight adjustment in non‐experimental studies with multivalued treatments: analysis of the effect of an earthquake on post‐traumatic stress," Journal of the Royal Statistical Society Series A, Royal Statistical Society, vol. 183(4), pages 1387-1410, October.
    66. Karun Adusumilli & Taisuke Otsu & Chen Qiu, 2020. "Reweighted nonparametric likelihood inference for linear functionals," STICERD - Econometrics Paper Series 614, Suntory and Toyota International Centres for Economics and Related Disciplines, LSE.
    67. Johann Pfitzinger, 2021. "An Interpretable Neural Network for Parameter Inference," Papers 2106.05536, arXiv.org.
    68. Su, Miaomiao & Wang, Qihua, 2022. "A convex programming solution based debiased estimator for quantile with missing response and high-dimensional covariables," Computational Statistics & Data Analysis, Elsevier, vol. 168(C).
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    71. Guido Imbens & Stefan Wager, 2019. "Optimized Regression Discontinuity Designs," The Review of Economics and Statistics, MIT Press, vol. 101(2), pages 264-278, May.
    72. Kuanhao Jiang & Rajarshi Mukherjee & Subhabrata Sen & Pragya Sur, 2022. "A New Central Limit Theorem for the Augmented IPW Estimator: Variance Inflation, Cross-Fit Covariance and Beyond," Papers 2205.10198, arXiv.org, revised Oct 2022.
    73. Cousineau, Martin & Verter, Vedat & Murphy, Susan A. & Pineau, Joelle, 2023. "Estimating causal effects with optimization-based methods: A review and empirical comparison," European Journal of Operational Research, Elsevier, vol. 304(2), pages 367-380.
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  60. Athey, Susan & Imbens, Guido W. & Wager, Stefan, 2016. "Efficient Inference of Average Treatment Effects in High Dimensions via Approximate Residual Balancing," Research Papers 3408, Stanford University, Graduate School of Business.

    Cited by:

    1. Wang, Xin (Shane) & Ryoo, Jun Hyun (Joseph) & Bendle, Neil & Kopalle, Praveen K., 2021. "The role of machine learning analytics and metrics in retailing research," Journal of Retailing, Elsevier, vol. 97(4), pages 658-675.
    2. Nikolay Doudchenko & Guido W. Imbens, 2016. "Balancing, Regression, Difference-In-Differences and Synthetic Control Methods: A Synthesis," NBER Working Papers 22791, National Bureau of Economic Research, Inc.
    3. Susan Athey & Mohsen Bayati & Nikolay Doudchenko & Guido Imbens & Khashayar Khosravi, 2018. "Matrix Completion Methods for Causal Panel Data Models," NBER Working Papers 25132, National Bureau of Economic Research, Inc.
    4. Dmitry Arkhangelsky & Guido Imbens, 2018. "Fixed Effects and the Generalized Mundlak Estimator," Papers 1807.02099, arXiv.org, revised Aug 2023.
    5. Matthias Huber & Simone Schüller & Marc Stöckli & Klaus Wohlrabe, 2018. "Maschinelles Lernen in der ökonomischen Forschung," ifo Schnelldienst, ifo Institute - Leibniz Institute for Economic Research at the University of Munich, vol. 71(07), pages 50-53, April.
    6. Susan Athey & Guido W. Imbens, 2017. "The State of Applied Econometrics: Causality and Policy Evaluation," Journal of Economic Perspectives, American Economic Association, vol. 31(2), pages 3-32, Spring.
    7. Vafa, Keyon & Athey, Susan & Blei, David M., 2024. "Estimating Wage Disparities Using Foundation Models," Research Papers 4206, Stanford University, Graduate School of Business.
    8. Dmitry Arkhangelsky & Guido W. Imbens, 2021. "Double-Robust Identification for Causal Panel Data Models," NBER Working Papers 28364, National Bureau of Economic Research, Inc.
    9. Soumajyoti Sarkar & Hamidreza Alvari, 2020. "Mitigating Bias in Online Microfinance Platforms: A Case Study on Kiva.org," Papers 2006.12995, arXiv.org.
    10. Thai T. Pham & Yuanyuan Shen, 2017. "A Deep Causal Inference Approach to Measuring the Effects of Forming Group Loans in Online Non-profit Microfinance Platform," Papers 1706.02795, arXiv.org.
    11. Susan Athey & Guido Imbens & Thai Pham & Stefan Wager, 2017. "Estimating Average Treatment Effects: Supplementary Analyses and Remaining Challenges," Papers 1702.01250, arXiv.org.

  61. Susan Athey & Raj Chetty & Guido Imbens & Hyunseung Kang, 2016. "Estimating Treatment Effects using Multiple Surrogates: The Role of the Surrogate Score and the Surrogate Index," Papers 1603.09326, arXiv.org, revised Aug 2024.

    Cited by:

    1. Carlos Fernández-Loría & Foster Provost, 2022. "Causal Decision Making and Causal Effect Estimation Are Not the Same…and Why It Matters," INFORMS Joural on Data Science, INFORMS, vol. 1(1), pages 4-16, April.
    2. Guido W. Imbens, 2020. "Potential Outcome and Directed Acyclic Graph Approaches to Causality: Relevance for Empirical Practice in Economics," Journal of Economic Literature, American Economic Association, vol. 58(4), pages 1129-1179, December.
    3. David M. Ritzwoller & Vasilis Syrgkanis, 2024. "Simultaneous Inference for Local Structural Parameters with Random Forests," Papers 2405.07860, arXiv.org, revised Sep 2024.
    4. John Mullahy, 2018. "Treatment Effects with Multiple Outcomes," NBER Working Papers 25307, National Bureau of Economic Research, Inc.
    5. Rahul Singh & Hannah Zhou, 2022. "Kernel methods for long term dose response curves," Papers 2201.05139, arXiv.org, revised Dec 2024.
    6. Jiafeng Chen & David M. Ritzwoller, 2021. "Semiparametric Estimation of Long-Term Treatment Effects," Papers 2107.14405, arXiv.org, revised Aug 2023.
    7. Chen, Jiafeng & Ritzwoller, David M., 2023. "Semiparametric estimation of long-term treatment effects," Journal of Econometrics, Elsevier, vol. 237(2).
    8. Isaac Meza & Rahul Singh, 2021. "Nested Nonparametric Instrumental Variable Regression: Long Term, Mediated, and Time Varying Treatment Effects," Papers 2112.14249, arXiv.org, revised Mar 2024.
    9. Keith Battocchi & Eleanor Dillon & Maggie Hei & Greg Lewis & Miruna Oprescu & Vasilis Syrgkanis, 2021. "Estimating the Long-Term Effects of Novel Treatments," Papers 2103.08390, arXiv.org, revised Feb 2022.

  62. Athey, Susan & Parashkevov, Ivo & Sarukkai, Vishnu & Xia, Jing, 2016. "Bitcoin Pricing, Adoption, and Usage: Theory and Evidence," Research Papers 3469, Stanford University, Graduate School of Business.

    Cited by:

    1. Lee, Yen-Sheng & Vo, Ace & Chapman, Thomas A., 2022. "Examining the Maturity of Bitcoin Price through a Catastrophic Event: The Case of Structural Break Analysis During the COVID-19 Pandemic," Finance Research Letters, Elsevier, vol. 49(C).
    2. Bruno Biais & Christophe Bisière & Matthieu Bouvard & Catherine Casamatta & Albert J. Menkveld, 2020. "Equilibrium Bitcoin Pricing," EconPol Working Paper 48, ifo Institute - Leibniz Institute for Economic Research at the University of Munich.
    3. Weili Chen & Jun Wu & Zibin Zheng & Chuan Chen & Yuren Zhou, 2019. "Market Manipulation of Bitcoin: Evidence from Mining the Mt. Gox Transaction Network," Papers 1902.01941, arXiv.org.
    4. Clemens Graf von Luckner & Carmen M. Reinhart & Kenneth S. Rogoff, 2021. "Decrypting New Age International Capital Flows," NBER Working Papers 29337, National Bureau of Economic Research, Inc.
    5. Daniela Balutel & Christopher Henry & Michel Vasquez & Marcel Voia, 2022. "Bitcoin Adoption and Beliefs in Canada," Post-Print hal-03676061, HAL.
    6. Cole, Benjamin M. & Dyhrberg, Anne H. & Foley, Sean & Svec, Jiri, 2022. "Can Bitcoin be Trusted? Quantifying the economic value of blockchain transactions," Journal of International Financial Markets, Institutions and Money, Elsevier, vol. 79(C).
    7. Julien Prat & Vincent Danos & Stefania Marcassa, 2019. "Fundamental Pricing of Utility Tokens," THEMA Working Papers 2019-11, THEMA (THéorie Economique, Modélisation et Applications), Université de Cergy-Pontoise.
    8. Toorajipour, Reza & Oghazi, Pejvak & Sohrabpour, Vahid & Patel, Pankaj C. & Mostaghel, Rana, 2022. "Block by block: A blockchain-based peer-to-peer business transaction for international trade," Technological Forecasting and Social Change, Elsevier, vol. 180(C).
    9. Hui, Cho-Hoi & Lo, Chi-Fai & Chau, Po-Hon & Wong, Andrew, 2020. "Does Bitcoin behave as a currency?: A standard monetary model approach," International Review of Financial Analysis, Elsevier, vol. 70(C).
    10. Matteo Benetton & Giovanni Compiani, 2024. "Investors’ Beliefs and Cryptocurrency Prices," The Review of Asset Pricing Studies, Society for Financial Studies, vol. 14(2), pages 197-236.
    11. Lepomäki, Laura & Kanniainen, Juho & Hansen, Henri, 2021. "Retaliation in Bitcoin networks," Economics Letters, Elsevier, vol. 203(C).
    12. Budish, Eric B., 2018. "The Economic Limits of Bitcoin and the Blockchain," Working Papers 279, The University of Chicago Booth School of Business, George J. Stigler Center for the Study of the Economy and the State.
    13. Makarov, Igor & Schoar, Antoinette, 2018. "Trading and Arbitrage in Cryptocurrency Markets," LSE Research Online Documents on Economics 118909, London School of Economics and Political Science, LSE Library.
    14. Alexander Karaivanov & Anil Donmez, 2021. "Transaction Fee Economics in the Ethereum Blockchain," Discussion Papers dp21-02, Department of Economics, Simon Fraser University.
    15. Nicolás Magner & Nicolás Hardy, 2022. "Cryptocurrency Forecasting: More Evidence of the Meese-Rogoff Puzzle," Mathematics, MDPI, vol. 10(13), pages 1-27, July.
    16. W. Scott Frame & Larry Wall & Lawrence J. White, 2018. "Technological Change and Financial Innovation in Banking: Some Implications for FinTech," Working Papers 18-28, New York University, Leonard N. Stern School of Business, Department of Economics.
    17. Michael Sockin & Wei Xiong, 2021. "A Model of Cryptocurrencies," Working Papers 2021-67, Princeton University. Economics Department..
    18. Rod Garratt & Maarten van Oordt, 2019. "Entrepreneurial Incentives and the Role of Initial Coin Offerings," Staff Working Papers 19-18, Bank of Canada.
    19. Gryglewicz, Sebastian & Mayer, Simon & Morellec, Erwan, 2021. "Optimal financing with tokens," Journal of Financial Economics, Elsevier, vol. 142(3), pages 1038-1067.
    20. James Chapman & Carolyn A. Wilkins, 2019. "Crypto ‘Money’: Perspective of a Couple of Canadian Central Bankers," Discussion Papers 2019-1, Bank of Canada.
    21. Michael Sockin & Wei Xiong, 2020. "A Model of Cryptocurrencies," NBER Working Papers 26816, National Bureau of Economic Research, Inc.
    22. Pourpourides, Panayiotis, 2023. "Long-Term Nexus of Macroeconomic and Financial Fundamentals with Cryptocurrencies," Cardiff Economics Working Papers E2023/23, Cardiff University, Cardiff Business School, Economics Section.
    23. Makarov, Igor & Schoar, Antoinette, 2020. "Trading and arbitrage in cryptocurrency markets," LSE Research Online Documents on Economics 100409, London School of Economics and Political Science, LSE Library.
    24. Sokolov, Konstantin, 2021. "Ransomware activity and blockchain congestion," Journal of Financial Economics, Elsevier, vol. 141(2), pages 771-782.
    25. Henry, Christopher S. & Huynh, Kim P. & Nicholls, Gradon, 2018. "Bitcoin awareness and usage in Canada," Journal of Digital Banking, Henry Stewart Publications, vol. 2(4), pages 311-337, May.
    26. Bertrand Crettez & Lisa Morhaim, 2022. "General equilibrium cryptocurrency pricing in an OLG model," Post-Print hal-04103599, HAL.
    27. Saggese, Pietro & Belmonte, Alessandro & Dimitri, Nicola & Facchini, Angelo & Böhme, Rainer, 2023. "Arbitrageurs in the Bitcoin ecosystem: Evidence from user-level trading patterns in the Mt. Gox exchange platform," Journal of Economic Behavior & Organization, Elsevier, vol. 213(C), pages 251-270.
    28. Podhorsky, Andrea, 2023. "Taxing bitcoin: Incentivizing the difficulty adjustment mechanism to reduce electricity usage," International Review of Financial Analysis, Elsevier, vol. 86(C).
    29. Hilde C. Bjørnland & Jamie L. Cross & Felix Kapfhammer, 2023. "The Drivers of Emission Reductions in the European Carbon Market," CAMA Working Papers 2023-53, Centre for Applied Macroeconomic Analysis, Crawford School of Public Policy, The Australian National University.
    30. Yae, James & Tian, George Zhe, 2024. "Volatile safe-haven asset: Evidence from Bitcoin," Journal of Financial Stability, Elsevier, vol. 73(C).
    31. Obryan Poyser, 2019. "Exploring the dynamics of Bitcoin’s price: a Bayesian structural time series approach," Eurasian Economic Review, Springer;Eurasia Business and Economics Society, vol. 9(1), pages 29-60, March.
    32. Jung, Woosung & Park, Haerang, 2024. "Common factors in the returns on cryptocurrencies," Finance Research Letters, Elsevier, vol. 65(C).
    33. Zimmerman, Peter, 2020. "Blockchain structure and cryptocurrency prices," Bank of England working papers 855, Bank of England.
    34. Isaiah Hull & Or Sattath, 2024. "The properties of contemporary money," Journal of Economic Surveys, Wiley Blackwell, vol. 38(4), pages 1132-1155, September.
    35. Kogan, Shimon & Makarov, Igor & Niessner, Marina & Schoar, Antoinette, 2024. "Are cryptos different? Evidence from retail trading," Journal of Financial Economics, Elsevier, vol. 159(C).
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    40. Griffin Msefula & Tony Chieh-Tse Hou & Tina Lemesi, 2024. "Financial and market risks of bitcoin adoption as legal tender: evidence from El Salvador," Palgrave Communications, Palgrave Macmillan, vol. 11(1), pages 1-15, December.
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    42. Isaiah Hull & Or Sattath, 2021. "Revisiting the Properties of Money," Papers 2111.04483, arXiv.org, revised Nov 2021.
    43. Raphael Auer, 2019. "Beyond the doomsday economics of "proof-of-work" in cryptocurrencies," BIS Working Papers 765, Bank for International Settlements.
    44. Ed Saiedi & Anders Broström & Felipe Ruiz, 2021. "Global drivers of cryptocurrency infrastructure adoption," Small Business Economics, Springer, vol. 57(1), pages 353-406, June.
    45. Wilko Bolt & Maarten R.C. Van Oordt, 2020. "On the Value of Virtual Currencies," Journal of Money, Credit and Banking, Blackwell Publishing, vol. 52(4), pages 835-862, June.
    46. Dimitrios Koutmos & Wang Chun Wei, 2023. "Nowcasting bitcoin’s crash risk with order imbalance," Review of Quantitative Finance and Accounting, Springer, vol. 61(1), pages 125-154, July.
    47. Charles M. Kahn & Maarten R.C. van Oordt, 2022. "The Demand for Programmable Payments," Tinbergen Institute Discussion Papers 22-076/IV, Tinbergen Institute.
    48. Stylianos Asimakopoulos & Marco Lorusso & Francesco Ravazzolo, 2023. "A Bayesian DSGE Approach to Modelling Cryptocurrency"," Review of Economic Dynamics, Elsevier for the Society for Economic Dynamics, vol. 51, pages 1012-1035, December.
    49. Eom, Yunsung, 2021. "Kimchi premium and speculative trading in bitcoin," Finance Research Letters, Elsevier, vol. 38(C).
    50. Kee‐Youn Kang & Seungduck Lee, 2024. "Money, Bitcoin, and Monetary Policy," Journal of Money, Credit and Banking, Blackwell Publishing, vol. 56(1), pages 225-256, February.
    51. Karau, Sören, 2023. "Monetary policy and Bitcoin," Journal of International Money and Finance, Elsevier, vol. 137(C).
    52. Feyen,Erik H.B. & Kawashima,Yusaku & Mittal,Raunak, 2022. "Crypto-Assets Activity around the World : Evolution and Macro-Financial Drivers," Policy Research Working Paper Series 9962, The World Bank.
    53. Son, Dong-Hoon, 2023. "On-demand ride-sourcing markets with cryptocurrency-based fare-reward scheme," Transportation Research Part E: Logistics and Transportation Review, Elsevier, vol. 171(C).
    54. Matteo Benetton & Giovanni Compiani, 2020. "Investors’ Beliefs and Asset Prices: A Structural Model of Cryptocurrency Demand," Working Papers 2020-107, Becker Friedman Institute for Research In Economics.
    55. Yuanyuan (Catherine) Chen, 2021. "Empirical analysis of bitcoin price," Journal of Economics and Finance, Springer;Academy of Economics and Finance, vol. 45(4), pages 692-715, October.
    56. Lin William Cong & Ye Li & Neng Wang, 2020. "Tokenomics: Dynamic Adoption and Valuation," NBER Working Papers 27222, National Bureau of Economic Research, Inc.
    57. Hosain, Md Sajjad, 2018. "Bitcoin: Future transaction currency?," MPRA Paper 87588, University Library of Munich, Germany.
    58. Le, Anh H., 2022. "Central bank digital currency and cryptocurrency in emerging markets," MPRA Paper 114734, University Library of Munich, Germany.
    59. Andrea Canidio & Vincent Danos & Stefania Marcassa & Julien Prat, 2021. "Tokens and ICOs: A Review of the Economic Literature," Post-Print hal-03678409, HAL.
    60. Gradon Nicholls, 2017. "Bitcoin awareness and usage in Canada," Canadian Stata Users' Group Meetings 2017 08, Stata Users Group.
    61. Parthajit Kayal & Purnima Rohilla, 2021. "Bitcoin in the economics and finance literature: a survey," SN Business & Economics, Springer, vol. 1(7), pages 1-21, July.
    62. Maarten R.C. van Oordt, 2024. "On Bubbles in Cryptocurrency Prices," Tinbergen Institute Discussion Papers 24-050/IV, Tinbergen Institute.
    63. Rodney Garratt & Maarten RC van Oordt, 2024. "Crypto Exchange Tokens," BIS Working Papers 1201, Bank for International Settlements.
    64. Gilles Hilary & Laura Xiaolei Liu, 2021. "Blockchain and Other Distributed Ledger Technologies in Finance," Springer Books, in: Raghavendra Rau & Robert Wardrop & Luigi Zingales (ed.), The Palgrave Handbook of Technological Finance, pages 243-268, Springer.
    65. Chen, Cathy Yi-Hsuan & Després, Roméo & Guo, Li & Renault, Thomas, 2019. "What makes cryptocurrencies special? Investor sentiment and return predictability during the bubble," IRTG 1792 Discussion Papers 2019-016, Humboldt University of Berlin, International Research Training Group 1792 "High Dimensional Nonstationary Time Series".
    66. Cahill, Daniel & G. Baur, Dirk & (Frank) Liu, Zhangxin & W. Yang, Joey, 2020. "I am a blockchain too: How does the market respond to companies’ interest in blockchain?," Journal of Banking & Finance, Elsevier, vol. 113(C).
    67. Yulin Liu & Luyao Zhang, 2022. "Cryptocurrency Valuation: An Explainable AI Approach," Papers 2201.12893, arXiv.org, revised Jul 2023.
    68. Christian Catalini & Joshua S. Gans, 2018. "Initial Coin Offerings and the Value of Crypto Tokens," NBER Working Papers 24418, National Bureau of Economic Research, Inc.
    69. Kogana, Shimon & Makarov, Igor & Niessnerc, Marina & Schoar, Antoinette, 2024. "Are cryptos different? Evidence from retail trading," LSE Research Online Documents on Economics 122266, London School of Economics and Political Science, LSE Library.
    70. Stylianos Asimakopoulos & Marco Lorusso & Francesco Ravazzolo, 2019. "A New Economic Framework: A DSGE Model with Cryptocurrency," Working Papers No 07/2019, Centre for Applied Macro- and Petroleum economics (CAMP), BI Norwegian Business School.
    71. Conlon, Thomas & Corbet, Shaen & Hou, Yang (Greg) & Hu, Yang & Oxley, Les, 2024. "Bitcoin forks: What drives the branches?," Research in International Business and Finance, Elsevier, vol. 69(C).
    72. Karau, Sören, 2021. "Monetary policy and Bitcoin," Discussion Papers 41/2021, Deutsche Bundesbank.
    73. Armando Holzknecht & Jürgen Huber & Michael Kirchler & Tibor Neugebauer, 2024. "Speculating in zero-value assets: The greater fool game experiment," Working Papers 2024-09, Faculty of Economics and Statistics, Universität Innsbruck.
    74. Zhimeng Yang & Ariah Klages-Mundt & Lewis Gudgeon, 2023. "Oracle Counterpoint: Relationships between On-chain and Off-chain Market Data," Papers 2303.16331, arXiv.org, revised Jul 2023.
    75. Makarov, Igor & Schoar, Antoinette, 2021. "Blockchain analysis of the Bitcoin market," LSE Research Online Documents on Economics 118897, London School of Economics and Political Science, LSE Library.
    76. Yukun Liu & Aleh Tsyvinski & Xi Wu, 2022. "Common Risk Factors in Cryptocurrency," Journal of Finance, American Finance Association, vol. 77(2), pages 1133-1177, April.
    77. Jovanka Lili Matic & Natalie Packham & Wolfgang Karl Härdle, 2023. "Hedging cryptocurrency options," Review of Derivatives Research, Springer, vol. 26(1), pages 91-133, April.
    78. Hoje Jo & Haehean Park & Hersh Shefrin, 2020. "Bitcoin and sentiment," Journal of Futures Markets, John Wiley & Sons, Ltd., vol. 40(12), pages 1861-1879, December.
    79. Jermann, Urban J., 2021. "Cryptocurrencies and Cagan’s model of hyperinflation," Journal of Macroeconomics, Elsevier, vol. 69(C).
    80. Ye Wang & Yan Chen & Haotian Wu & Liyi Zhou & Shuiguang Deng & Roger Wattenhofer, 2021. "Cyclic Arbitrage in Decentralized Exchanges," Papers 2105.02784, arXiv.org, revised Jan 2022.

  63. Susan Athey & Guido Imbens, 2015. "Recursive Partitioning for Heterogeneous Causal Effects," Papers 1504.01132, arXiv.org, revised Dec 2015.

    Cited by:

    1. Nils Droste & Claudia Becker & Irene Ring & Rui Santos, 2018. "Decentralization Effects in Ecological Fiscal Transfers: A Bayesian Structural Time Series Analysis for Portugal," Environmental & Resource Economics, Springer;European Association of Environmental and Resource Economists, vol. 71(4), pages 1027-1051, December.
    2. Chakraborty, Chiranjit & Joseph, Andreas, 2017. "Machine learning at central banks," Bank of England working papers 674, Bank of England.
    3. Vikas Ramachandra, 2018. "Deep Learning for Causal Inference," Papers 1803.00149, arXiv.org.
    4. Vikas Ramachandra, 2018. "Causal Inference for Survival Analysis," Papers 1803.08218, arXiv.org.
    5. Susan Athey & Guido Imbens, 2016. "The Econometrics of Randomized Experiments," Papers 1607.00698, arXiv.org.
    6. Daniel Runfola & Ariel BenYishay & Jeffery Tanner & Graeme Buchanan & Jyoteshwar Nagol & Matthias Leu & Seth Goodman & Rachel Trichler & Robert Marty, 2017. "A Top-Down Approach to Estimating Spatially Heterogeneous Impacts of Development Aid on Vegetative Carbon Sequestration," Sustainability, MDPI, vol. 9(3), pages 1-9, March.

  64. Athey, Susan & Imbens, Guido W., 2015. "Machine Learning for Estimating Heterogeneous Causal Effects," Research Papers 3350, Stanford University, Graduate School of Business.

    Cited by:

    1. W. Bentley MacLeod, 2017. "Viewpoint: The human capital approach to inference," Canadian Journal of Economics, Canadian Economics Association, vol. 50(1), pages 5-39, February.
    2. Raluca M. Ursu, 2018. "The Power of Rankings: Quantifying the Effect of Rankings on Online Consumer Search and Purchase Decisions," Marketing Science, INFORMS, vol. 37(4), pages 530-552, August.
    3. Stefan Wager, 2016. "Comments on: A random forest guided tour," TEST: An Official Journal of the Spanish Society of Statistics and Operations Research, Springer;Sociedad de Estadística e Investigación Operativa, vol. 25(2), pages 261-263, June.
    4. Enoch Hyunwook Kang & P. R. Kumar, 2023. "Bounded (O(1)) Regret Recommendation Learning via Synthetic Controls Oracle," Papers 2301.12571, arXiv.org, revised Jun 2023.
    5. Andr'es Ram'irez-Hassan & Raquel Vargas-Correa & Gustavo Garc'ia & Daniel Londo~no, 2020. "Optimal selection of the number of control units in kNN algorithm to estimate average treatment effects," Papers 2008.06564, arXiv.org.
    6. Daniel Ershov, 2018. "Competing with Superstars in the Mobile App Market," Working Papers 18-02, NET Institute.
    7. Gabriel Okasa, 2022. "Meta-Learners for Estimation of Causal Effects: Finite Sample Cross-Fit Performance," Papers 2201.12692, arXiv.org.
    8. Sonan Memon, 2021. "Machine Learning for Economists: An Introduction," The Pakistan Development Review, Pakistan Institute of Development Economics, vol. 60(2), pages 201-211.
    9. Jonathan M.V. Davis & Sara B. Heller, 2017. "Rethinking the Benefits of Youth Employment Programs: The Heterogeneous Effects of Summer Jobs," NBER Working Papers 23443, National Bureau of Economic Research, Inc.
    10. Dutt, Satyajit & Radermacher, Jan W., 2023. "Age, wealth, and the MPC in Europe: A supervised machine learning approach," SAFE Working Paper Series 383, Leibniz Institute for Financial Research SAFE.
    11. Chen, Jingnan (Cecilia) & Fonseca, Miguel A. & Grimshaw, Shaun B., 2021. "When a nudge is (not) enough: Experiments on social information and incentives," European Economic Review, Elsevier, vol. 134(C).
    12. Bosker, Maarten, 2022. "City origins," Regional Science and Urban Economics, Elsevier, vol. 94(C).
    13. Burgess, Simon & Metcalfe, Robert & Sadoff, Sally, 2021. "Understanding the response to financial and non-financial incentives in education: Field experimental evidence using high-stakes assessments," Economics of Education Review, Elsevier, vol. 85(C).
    14. Han, Xuehui & Wei, Shang-Jin, 2017. "Re-examining the middle-income trap hypothesis (MITH): What to reject and what to revive?," Journal of International Money and Finance, Elsevier, vol. 73(PA), pages 41-61.
    15. Sophie van Huellen & Duo Qin, 2019. "Compulsory Schooling and Returns to Education: A Re-Examination," Econometrics, MDPI, vol. 7(3), pages 1-20, September.
    16. Majid Bazarbash, 2019. "FinTech in Financial Inclusion: Machine Learning Applications in Assessing Credit Risk," IMF Working Papers 2019/109, International Monetary Fund.
    17. Hunt Allcott & Judd B. Kessler, 2015. "The Welfare Effects of Nudges: A Case Study of Energy Use Social Comparisons," NBER Working Papers 21671, National Bureau of Economic Research, Inc.
    18. Muller, Seán M., 2020. "The implications of a fundamental contradiction in advocating randomized trials for policy," World Development, Elsevier, vol. 127(C).
    19. Fafchamps, Marcel & Labonne, Julien, 2016. "Using Split Samples to Improve Inference on Causal Effects," CEPR Discussion Papers 11077, C.E.P.R. Discussion Papers.
    20. Magazzino, Cosimo & Mele, Marco & Schneider, Nicolas, 2021. "A machine learning approach on the relationship among solar and wind energy production, coal consumption, GDP, and CO2 emissions," Renewable Energy, Elsevier, vol. 167(C), pages 99-115.
    21. Aaron Chalfin & Benjamin Hansen & Jason Lerner & Lucie Parker, 2019. "Reducing Crime Through Environmental Design: Evidence from a Randomized Experiment of Street Lighting in New York City," NBER Working Papers 25798, National Bureau of Economic Research, Inc.
    22. Marcel Fafchamps & Julien Labonne, 2016. "Using Split Samples to Improve Inference about Causal Effects," NBER Working Papers 21842, National Bureau of Economic Research, Inc.
    23. Florian Gunsilius & Meng Hsuan Hsieh & Myung Jin Lee, 2022. "Tangential Wasserstein Projections," Papers 2207.14727, arXiv.org, revised Aug 2022.
    24. Sarah Friedrich & Gerd Antes & Sigrid Behr & Harald Binder & Werner Brannath & Florian Dumpert & Katja Ickstadt & Hans A. Kestler & Johannes Lederer & Heinz Leitgöb & Markus Pauly & Ansgar Steland & A, 2022. "Is there a role for statistics in artificial intelligence?," Advances in Data Analysis and Classification, Springer;German Classification Society - Gesellschaft für Klassifikation (GfKl);Japanese Classification Society (JCS);Classification and Data Analysis Group of the Italian Statistical Society (CLADAG);International Federation of Classification Societies (IFCS), vol. 16(4), pages 823-846, December.
    25. Davide Viviano & Jelena Bradic, 2019. "Synthetic learner: model-free inference on treatments over time," Papers 1904.01490, arXiv.org, revised Aug 2022.
    26. Peysakhovich, Alexander & Naecker, Jeffrey, 2017. "Using methods from machine learning to evaluate behavioral models of choice under risk and ambiguity," Journal of Economic Behavior & Organization, Elsevier, vol. 133(C), pages 373-384.
    27. Prithwiraj Choudhury & Ryan T. Allen & Michael G. Endres, 2021. "Machine learning for pattern discovery in management research," Strategic Management Journal, Wiley Blackwell, vol. 42(1), pages 30-57, January.
    28. Haupt, Johannes & Lessmann, Stefan, 2020. "Targeting Cutsomers Under Response-Dependent Costs," IRTG 1792 Discussion Papers 2020-005, Humboldt University of Berlin, International Research Training Group 1792 "High Dimensional Nonstationary Time Series".
    29. Maria Nareklishvili & Nicholas Polson & Vadim Sokolov, 2022. "Feature Selection for Personalized Policy Analysis," Papers 2301.00251, arXiv.org, revised Jul 2023.
    30. Rafael P. Greminger, 2022. "Heterogeneous Position Effects and the Power of Rankings," Papers 2210.16408, arXiv.org, revised Dec 2023.
    31. Libo Sun & Guodong Lyu & Yugang Yu & Chung‐Piaw Teo, 2020. "Fulfillment by Amazon versus fulfillment by seller: An interpretable risk‐adjusted fulfillment model," Naval Research Logistics (NRL), John Wiley & Sons, vol. 67(8), pages 627-645, December.
    32. 'Agoston Reguly, 2021. "Heterogeneous Treatment Effects in Regression Discontinuity Designs," Papers 2106.11640, arXiv.org, revised Oct 2021.
    33. Haifeng Li & Mo Hai & Wenxun Tang, 2022. "Prior Knowledge-Based Causal Inference Algorithms and Their Applications for China COVID-19 Analysis," Mathematics, MDPI, vol. 10(19), pages 1-20, September.
    34. Rina Friedberg & Julie Tibshirani & Susan Athey & Stefan Wager, 2018. "Local Linear Forests," Papers 1807.11408, arXiv.org, revised Sep 2020.
    35. Jinping Hu, 2023. "Customer feature selection from high-dimensional bank direct marketing data for uplift modeling," Journal of Marketing Analytics, Palgrave Macmillan, vol. 11(2), pages 160-171, June.
    36. Seungwoo Chin & Matthew E. Kahn & Hyungsik Roger Moon, 2020. "Estimating the Gains from New Rail Transit Investment: A Machine Learning Tree Approach," Real Estate Economics, American Real Estate and Urban Economics Association, vol. 48(3), pages 886-914, September.
    37. Sam Asher & Denis Nekipelov & Paul Novosad & Stephen P. Ryan, 2016. "Classification Trees for Heterogeneous Moment-Based Models," NBER Working Papers 22976, National Bureau of Economic Research, Inc.
    38. Barzin,Samira & Avner,Paolo & Maruyama Rentschler,Jun Erik & O’Clery,Neave, 2022. "Where Are All the Jobs ? A Machine Learning Approach for High Resolution Urban Employment Prediction inDeveloping Countries," Policy Research Working Paper Series 9979, The World Bank.
    39. Serena Ng, 2017. "Opportunities and Challenges: Lessons from Analyzing Terabytes of Scanner Data," NBER Working Papers 23673, National Bureau of Economic Research, Inc.
    40. Grépin, Karen A. & Habyarimana, James & Jack, William, 2019. "Cash on delivery: Results of a randomized experiment to promote maternal health care in Kenya," Journal of Health Economics, Elsevier, vol. 65(C), pages 15-30.
    41. Johannes Haupt & Stefan Lessmann, 2020. "Targeting customers under response-dependent costs," Papers 2003.06271, arXiv.org, revised Aug 2021.
    42. Droste, Nils & Becker, Claudia & Ring, Irene & Santos, Rui, 2017. "Decentralization effects in ecological fiscal transfers: The case of Portugal," UFZ Discussion Papers 3/2017, Helmholtz Centre for Environmental Research (UFZ), Division of Social Sciences (ÖKUS).

  65. Athey, Susan & Eckles, Dean & Imbens, Guido W., 2015. "Exact P-Values for Network Interference," Research Papers 3287, Stanford University, Graduate School of Business.

    Cited by:

    1. Eckles Dean & Karrer Brian & Ugander Johan, 2017. "Design and Analysis of Experiments in Networks: Reducing Bias from Interference," Journal of Causal Inference, De Gruyter, vol. 5(1), pages 1-23, March.
    2. Ariel Boyarsky & Hongseok Namkoong & Jean Pouget-Abadie, 2023. "Modeling Interference Using Experiment Roll-out," Papers 2305.10728, arXiv.org, revised Aug 2023.
    3. Athey, Susan & Luca, Michael, 2018. "Economists (and Economics) in Tech Companies," Research Papers 3735, Stanford University, Graduate School of Business.
    4. Yann Bramoullé & Habiba Djebbari & Bernard Fortin, 2020. "Peer Effects in Networks: a Survey," AMSE Working Papers 1936, Aix-Marseille School of Economics, France.
    5. C. Tort`u & I. Crimaldi & F. Mealli & L. Forastiere, 2020. "Modelling Network Interference with Multi-valued Treatments: the Causal Effect of Immigration Policy on Crime Rates," Papers 2003.10525, arXiv.org, revised Jun 2020.
    6. Björkegren, Daniel & Karaca, Burak Ceyhun, 2022. "Network adoption subsidies: A digital evaluation of a rural mobile phone program in Rwanda," Journal of Development Economics, Elsevier, vol. 154(C).
    7. Tadao Hoshino & Takahide Yanagi, 2023. "Randomization Test for the Specification of Interference Structure," Papers 2301.05580, arXiv.org, revised Dec 2023.
    8. John McHale & Jason Harold & Jen-Chung Mei & Akhil Sasidharan & Anil Yadav, 2023. "Stars as catalysts: an event-study analysis of the impact of star-scientist recruitment on local research performance in a small open economy," Journal of Economic Geography, Oxford University Press, vol. 23(2), pages 343-369.
    9. Luofeng Liao & Christian Kroer, 2023. "Statistical Inference and A/B Testing for First-Price Pacing Equilibria," Papers 2301.02276, arXiv.org, revised Jun 2023.
    10. Cruces, Guillermo & Tortarolo, Dario & Vazquez-Bare, Gonzalo, 2024. "Design of Partial Population Experiments with an Application to Spillovers in Tax Compliance," IZA Discussion Papers 17256, Institute of Labor Economics (IZA).
    11. Stefan Wager & Kuang Xu, 2019. "Experimenting in Equilibrium," Papers 1903.02124, arXiv.org, revised Jun 2020.
    12. Toru Kitagawa & Guanyi Wang, 2021. "Who should get vaccinated? Individualized allocation of vaccines over SIR network," CeMMAP working papers CWP28/21, Centre for Microdata Methods and Practice, Institute for Fiscal Studies.
    13. Guido W. Imbens, 2021. "Statistical Significance, p-Values, and the Reporting of Uncertainty," Journal of Economic Perspectives, American Economic Association, vol. 35(3), pages 157-174, Summer.
    14. Jason J Jones & Robert M Bond & Eytan Bakshy & Dean Eckles & James H Fowler, 2017. "Social influence and political mobilization: Further evidence from a randomized experiment in the 2012 U.S. presidential election," PLOS ONE, Public Library of Science, vol. 12(4), pages 1-9, April.
    15. Hannah Li & Geng Zhao & Ramesh Johari & Gabriel Y. Weintraub, 2021. "Interference, Bias, and Variance in Two-Sided Marketplace Experimentation: Guidance for Platforms," Papers 2104.12222, arXiv.org.
    16. Michael Pollmann, 2020. "Causal Inference for Spatial Treatments," Papers 2011.00373, arXiv.org, revised Jan 2023.
    17. Luofeng Liao & Christian Kroer, 2024. "Statistical Inference and A/B Testing in Fisher Markets and Paced Auctions," Papers 2406.15522, arXiv.org, revised Aug 2024.
    18. David Holtz & Ruben Lobel & Inessa Liskovich & Sinan Aral, 2020. "Reducing Interference Bias in Online Marketplace Pricing Experiments," Papers 2004.12489, arXiv.org.
    19. Ramesh Johari & Hannah Li & Inessa Liskovich & Gabriel Y. Weintraub, 2022. "Experimental Design in Two-Sided Platforms: An Analysis of Bias," Management Science, INFORMS, vol. 68(10), pages 7069-7089, October.
    20. Susan Athey & Guido W. Imbens, 2017. "The State of Applied Econometrics: Causality and Policy Evaluation," Journal of Economic Perspectives, American Economic Association, vol. 31(2), pages 3-32, Spring.
    21. Kosuke Imai & Zhichao Jiang, 2020. "Identification and sensitivity analysis of contagion effects in randomized placebo‐controlled trials," Journal of the Royal Statistical Society Series A, Royal Statistical Society, vol. 183(4), pages 1637-1657, October.
    22. Dalia Ghanem & Sarojini Hirshleifer & Karen Ortiz-Becerra, 2019. "Testing for Attrition Bias in Field Experiments," Working Papers 202010, University of California at Riverside, Department of Economics, revised Mar 2020.
    23. Evan Munro & Xu Kuang & Stefan Wager, 2021. "Treatment Effects in Market Equilibrium," Papers 2109.11647, arXiv.org, revised Jun 2024.
    24. Elizabeth L. Ogburn & Ilya Shpitser & Youjin Lee, 2020. "Causal inference, social networks and chain graphs," Journal of the Royal Statistical Society Series A, Royal Statistical Society, vol. 183(4), pages 1659-1676, October.
    25. Gonzalo Vazquez-Bare, 2017. "Identification and Estimation of Spillover Effects in Randomized Experiments," Papers 1711.02745, arXiv.org, revised Jan 2022.
    26. Vazquez-Bare, Gonzalo, 2023. "Identification and estimation of spillover effects in randomized experiments," Journal of Econometrics, Elsevier, vol. 237(1).
    27. Vivek F. Farias & Andrew A. Li & Tianyi Peng & Andrew Zheng, 2022. "Markovian Interference in Experiments," Papers 2206.02371, arXiv.org, revised Jun 2022.
    28. Toru Kitagawa & Guanyi Wang, 2020. "Who Should Get Vaccinated? Individualized Allocation of Vaccines Over SIR Network," Papers 2012.04055, arXiv.org, revised Jul 2021.
    29. Julius Owusu, 2023. "Randomization Inference of Heterogeneous Treatment Effects under Network Interference," Papers 2308.00202, arXiv.org, revised Jan 2025.
    30. Eric Auerbach & Max Tabord-Meehan, 2021. "The Local Approach to Causal Inference under Network Interference," Papers 2105.03810, arXiv.org, revised Jun 2023.
    31. Susan Athey & Guido Imbens, 2016. "The Econometrics of Randomized Experiments," Papers 1607.00698, arXiv.org.
    32. Tadao Hoshino & Takahide Yanagi, 2021. "Causal Inference with Noncompliance and Unknown Interference," Papers 2108.07455, arXiv.org, revised Oct 2023.
    33. David M. Ritzwoller & Joseph P. Romano & Azeem M. Shaikh, 2024. "Randomization Inference: Theory and Applications," Papers 2406.09521, arXiv.org.
    34. Kitagawa, Toru & Wang, Guanyi, 2023. "Who should get vaccinated? Individualized allocation of vaccines over SIR network," Journal of Econometrics, Elsevier, vol. 232(1), pages 109-131.
    35. Silvia Noirjean & Marco Mariani & Alessandra Mattei & Fabrizia Mealli, 2020. "Exploiting network information to disentangle spillover effects in a field experiment on teens' museum attendance," Papers 2011.11023, arXiv.org, revised May 2022.
    36. Bet Caeyers & Marcel Fafchamps, 2016. "Exclusion Bias in the Estimation of Peer Effects," NBER Working Papers 22565, National Bureau of Economic Research, Inc.
    37. Lina Zhang, 2020. "Spillovers of Program Benefits with Missing Network Links," Papers 2009.09614, arXiv.org, revised Aug 2024.
    38. Davide Viviano, 2020. "Experimental Design under Network Interference," Papers 2003.08421, arXiv.org, revised Jul 2022.
    39. Michael P. Leung, 2019. "Causal Inference Under Approximate Neighborhood Interference," Papers 1911.07085, arXiv.org, revised Nov 2021.
    40. Bryan S. Graham, 2019. "Network Data," NBER Working Papers 26577, National Bureau of Economic Research, Inc.
    41. Stefan Wager & Kuang Xu, 2021. "Experimenting in Equilibrium," Management Science, INFORMS, vol. 67(11), pages 6694-6715, November.
    42. Arun Advani & Bansi Malde, 2018. "Methods to identify linear network models: a review," Swiss Journal of Economics and Statistics, Springer;Swiss Society of Economics and Statistics, vol. 154(1), pages 1-16, December.
    43. Anish Agarwal & Sarah H. Cen & Devavrat Shah & Christina Lee Yu, 2022. "Network Synthetic Interventions: A Causal Framework for Panel Data Under Network Interference," Papers 2210.11355, arXiv.org, revised Oct 2023.
    44. Guillermo Cruces & Dario Tortarolo & Gonzalo Vazquez-Bare, 2022. "Design of two-stage experiments with an application to spillovers in tax compliance," IFS Working Papers W22/32, Institute for Fiscal Studies.
    45. Toru Kitagawa & Guanyi Wang, 2020. "Who should get vaccinated? Individualized allocation of vaccines over SIR network," CeMMAP working papers CWP59/20, Centre for Microdata Methods and Practice, Institute for Fiscal Studies.
    46. Han, Kevin & Basse, Guillaume & Bojinov, Iavor, 2024. "Population interference in panel experiments," Journal of Econometrics, Elsevier, vol. 238(1).
    47. Supriya Tiwari & Pallavi Basu, 2024. "Quasi-randomization tests for network interference," Papers 2403.16673, arXiv.org, revised Oct 2024.
    48. Michael P. Leung, 2020. "Treatment and Spillover Effects Under Network Interference," The Review of Economics and Statistics, MIT Press, vol. 102(2), pages 368-380, May.
    49. Bryan S. Graham, 2019. "Network Data," CeMMAP working papers CWP71/19, Centre for Microdata Methods and Practice, Institute for Fiscal Studies.
    50. Davide Viviano & Jess Rudder, 2020. "Policy design in experiments with unknown interference," Papers 2011.08174, arXiv.org, revised May 2024.
    51. Zhaonan Qu & Ruoxuan Xiong & Jizhou Liu & Guido Imbens, 2021. "Semiparametric Estimation of Treatment Effects in Observational Studies with Heterogeneous Partial Interference," Papers 2107.12420, arXiv.org, revised Jun 2024.
    52. Susan Athey, 2018. "The Impact of Machine Learning on Economics," NBER Chapters, in: The Economics of Artificial Intelligence: An Agenda, pages 507-547, National Bureau of Economic Research, Inc.
    53. Yuehao Bai & Azeem M. Shaikh & Max Tabord-Meehan, 2024. "A Primer on the Analysis of Randomized Experiments and a Survey of some Recent Advances," Papers 2405.03910, arXiv.org.
    54. Wooyong Jo & Sarang Sunder & Jeonghye Choi & Minakshi Trivedi, 2020. "Protecting Consumers from Themselves: Assessing Consequences of Usage Restriction Laws on Online Game Usage and Spending," Marketing Science, INFORMS, vol. 39(1), pages 117-133, January.
    55. Fredrik Savje, 2021. "Causal inference with misspecified exposure mappings: separating definitions and assumptions," Papers 2103.06471, arXiv.org, revised Mar 2023.
    56. Ramesh Johari & Hannah Li & Inessa Liskovich & Gabriel Weintraub, 2020. "Experimental Design in Two-Sided Platforms: An Analysis of Bias," Papers 2002.05670, arXiv.org, revised Sep 2021.
    57. Nathan Kallus, 2023. "Treatment Effect Risk: Bounds and Inference," Management Science, INFORMS, vol. 69(8), pages 4579-4590, August.
    58. Zhao, Anqi & Ding, Peng, 2021. "Covariate-adjusted Fisher randomization tests for the average treatment effect," Journal of Econometrics, Elsevier, vol. 225(2), pages 278-294.
    59. Xiaokang Luo & Tirthankar Dasgupta & Minge Xie & Regina Y. Liu, 2021. "Leveraging the Fisher randomization test using confidence distributions: Inference, combination and fusion learning," Journal of the Royal Statistical Society Series B, Royal Statistical Society, vol. 83(4), pages 777-797, September.
    60. Vasiliki Koutra & Steven G. Gilmour & Ben M. Parker & Andrew Mead, 2023. "Design of Agricultural Field Experiments Accounting for both Complex Blocking Structures and Network Effects," Journal of Agricultural, Biological and Environmental Statistics, Springer;The International Biometric Society;American Statistical Association, vol. 28(3), pages 526-548, September.
    61. Iavor Bojinov & David Simchi-Levi & Jinglong Zhao, 2023. "Design and Analysis of Switchback Experiments," Management Science, INFORMS, vol. 69(7), pages 3759-3777, July.
    62. Luofeng Liao & Yuan Gao & Christian Kroer, 2022. "Statistical Inference for Fisher Market Equilibrium," Papers 2209.15422, arXiv.org.
    63. Jinglong Zhao, 2024. "Experimental Design For Causal Inference Through An Optimization Lens," Papers 2408.09607, arXiv.org, revised Aug 2024.
    64. Michael P. Leung & Pantelis Loupos, 2022. "Graph Neural Networks for Causal Inference Under Network Confounding," Papers 2211.07823, arXiv.org, revised Mar 2024.
    65. Claes, Ek & Söderberg, Magnus & Kataria, Mitesh, 2024. "Can teaching children about the environment influence household behavior? Experiments in Swedish schools," Working Papers in Economics 848, University of Gothenburg, Department of Economics, revised 14 Nov 2024.
    66. Chabé-Ferret, Sylvain & Reynaud, Arnaud & Tène, Eva, 2021. "Water Quality, Policy Diffusion Effects and Farmers’ Behavior," TSE Working Papers 21-1229, Toulouse School of Economics (TSE).
    67. Giulio Grossi & Marco Mariani & Alessandra Mattei & Patrizia Lattarulo & Ozge Oner, 2020. "Direct and spillover effects of a new tramway line on the commercial vitality of peripheral streets. A synthetic-control approach," Papers 2004.05027, arXiv.org, revised Nov 2023.
    68. Davide Viviano, 2019. "Policy Targeting under Network Interference," Papers 1906.10258, arXiv.org, revised Apr 2024.

  66. Alberto Abadie & Susan Athey & Guido W. Imbens & Jeffrey M. Wooldridge, 2014. "Finite Population Causal Standard Errors," NBER Working Papers 20325, National Bureau of Economic Research, Inc.

    Cited by:

    1. Victor Chernozhukov & Ivan Fernandez-Val & Martin Weidner, 2020. "Network and Panel Quantile Effects Via Distribution Regression," CeMMAP working papers CWP27/20, Centre for Microdata Methods and Practice, Institute for Fiscal Studies.
    2. Bover, Olympia & Casado, Jose Maria & Costa, Sonia & Du Caju, Philip & McCarthy, Yvonne & Sierminska, Eva & Tzamourani, Panagiota & Villanueva, Ernesto & Zavadil, Tibor, 2014. "The distribution of debt across Euro Area countries: The role of individual characteristics, institutions and credit conditions," Research Technical Papers 04/RT/14, Central Bank of Ireland.
    3. Atila Abdulkadiroğlu & Joshua D. Angrist & Yusuke Narita & Parag A. Pathak, 2017. "Research Design Meets Market Design: Using Centralized Assignment for Impact Evaluation," Econometrica, Econometric Society, vol. 85, pages 1373-1432, September.
    4. Hirschauer, Norbert & Gruener, Sven & Mußhoff, Oliver & Becker, Claudia & Jantsch, Antje, 2019. "Can p-values be meaningfully interpreted without random sampling?," SocArXiv yazr8, Center for Open Science.
    5. Alberto Abadie & Susan Athey & Guido W. Imbens & Jeffrey M. Wooldridge, 2017. "Sampling-based vs. Design-based Uncertainty in Regression Analysis," Papers 1706.01778, arXiv.org, revised Jun 2019.
    6. Dehejia, Rajeev & Pop-Eleches, Cristian & Samii, Cyrus, 2015. "From Local to Global: External Validity in a Fertility Natural Experiment," IZA Discussion Papers 9300, Institute of Labor Economics (IZA).
    7. Ding Peng & Li Xinran & Miratrix Luke W., 2017. "Bridging Finite and Super Population Causal Inference," Journal of Causal Inference, De Gruyter, vol. 5(2), pages 1-8, September.
    8. Philip ME Garboden, 2019. "Sources and Types of Big Data for Macroeconomic Forecasting," Working Papers 2019-3, University of Hawaii Economic Research Organization, University of Hawaii at Manoa.
    9. Susan Athey & Guido W. Imbens, 2017. "The State of Applied Econometrics: Causality and Policy Evaluation," Journal of Economic Perspectives, American Economic Association, vol. 31(2), pages 3-32, Spring.
    10. Fang Han, 2024. "An Introduction to Permutation Processes (version 0.5)," Papers 2407.09664, arXiv.org.
    11. Peter Ganong & Simon Jäger, 2018. "A Permutation Test for the Regression Kink Design," Journal of the American Statistical Association, Taylor & Francis Journals, vol. 113(522), pages 494-504, April.
    12. Bruno Ferman, 2023. "Inference in difference‐in‐differences: How much should we trust in independent clusters?," Journal of Applied Econometrics, John Wiley & Sons, Ltd., vol. 38(3), pages 358-369, April.
    13. Bharat K. Chandar & Ali Hortaçsu & John A. List & Ian Muir & Jeffrey M. Wooldridge, 2019. "Design and Analysis of Cluster-Randomized Field Experiments in Panel Data Settings," NBER Working Papers 26389, National Bureau of Economic Research, Inc.
    14. Startz, Richard & Steigerwald, Douglas G., 2024. "The variance of regression coefficients when the population is finite," Journal of Econometrics, Elsevier, vol. 240(1).
    15. Crespo, Cristian, 2020. "Two become one: improving the targeting of conditional cash transfers with a predictive model of school dropout," LSE Research Online Documents on Economics 123139, London School of Economics and Political Science, LSE Library.
    16. Jaeger, Simon C & Ganong, Peter Nathan, 2014. "A Permutation Test and Estimation Alternatives for the Regression Kink Design," Scholarly Articles 34222894, Harvard University Department of Economics.
    17. Almond, Douglas & Sun, Yixin, 2017. "Son-biased sex ratios in 2010 US Census and 2011–2013 US natality data," Social Science & Medicine, Elsevier, vol. 176(C), pages 21-24.
    18. Liu, Xingfei & Wang, Chuhong & Yan, Zizhong & Zhao, Yi, 2022. "Higher Education Expansion and Crime: New Evidence from China," Working Papers 2022-2, University of Alberta, Department of Economics.
    19. Alberto Abadie & Susan Athey & Guido W. Imbens & Jeffrey M. Wooldridge, 2020. "Sampling‐Based versus Design‐Based Uncertainty in Regression Analysis," Econometrica, Econometric Society, vol. 88(1), pages 265-296, January.
    20. Luis Alvarez & Bruno Ferman, 2020. "Inference in Difference-in-Differences with Few Treated Units and Spatial Correlation," Papers 2006.16997, arXiv.org, revised Apr 2023.
    21. Paul Frijters & Benno Torgler & Christian Gillitzer & Jin Cong Wang, 2016. "Housing Wealth Effects: Cross-sectional Evidence from New Vehicle Registrations," The Economic Record, The Economic Society of Australia, vol. 92, pages 30-51, June.
    22. Cai, Hongbin & Chen, Yuyu & Gong, Qing, 2016. "Polluting thy neighbor: Unintended consequences of China׳s pollution reduction mandates," Journal of Environmental Economics and Management, Elsevier, vol. 76(C), pages 86-104.
    23. Ferman, Bruno, 2021. "Matching estimators with few treated and many control observations," Journal of Econometrics, Elsevier, vol. 225(2), pages 295-307.
    24. Benedikt Holtgen & Robert C. Williamson, 2024. "Causal modelling without introducing counterfactuals or abstract distributions," Papers 2407.17385, arXiv.org, revised Aug 2024.
    25. Alberto Abadie & Guido W. Imbens & Fanyin Zheng, 2014. "Inference for Misspecified Models With Fixed Regressors," Journal of the American Statistical Association, Taylor & Francis Journals, vol. 109(508), pages 1601-1614, December.
    26. Mechoulan, Stéphane, 2020. "Civil unrest, emergency powers, and spillover effects: A mixed methods analysis of the 2005 French riots," Journal of Economic Behavior & Organization, Elsevier, vol. 177(C), pages 305-326.
    27. Hollenbach, Florian M & Egerod, Benjamin, 2024. "How many is enough? Sample Size in Staggered Difference-in-Differences Designs," OSF Preprints ac5ru, Center for Open Science.
    28. Liran Einav & Amy Finkelstein & Neale Mahoney, 2018. "Provider Incentives and Healthcare Costs: Evidence From Long‐Term Care Hospitals," Econometrica, Econometric Society, vol. 86(6), pages 2161-2219, November.

  67. Susan Athey & Emilio Calvano & Joshua Gans, 2013. "The Impact of the Internet on Advertising Markets for News Media," NBER Working Papers 19419, National Bureau of Economic Research, Inc.

    Cited by:

    1. Larbi Alaoui & Fabrizio Germano, 2014. "Time Scarcity and the Market for News," Working Papers 675, Barcelona School of Economics.
    2. Attila Ambrus & Emilio Calvano & Markus Reisinger, 2014. "Either or Both Competition: A "Two-sided" Theory of Advertising with Overlapping Viewerships," CSEF Working Papers 378, Centre for Studies in Economics and Finance (CSEF), University of Naples, Italy.
    3. León, Omar de, 2013. "Regional and international connectivity," Libros de la CEPAL, Naciones Unidas Comisión Económica para América Latina y el Caribe (CEPAL), number 37061.
    4. Burguet, Roberto & Caminal, Ramon & Ellman, Matthew, 2015. "In Google we trust?," International Journal of Industrial Organization, Elsevier, vol. 39(C), pages 44-55.
    5. Matthew Gentzkow & Jesse M. Shapiro, 2015. "Ideology and Online News," NBER Chapters, in: Economic Analysis of the Digital Economy, pages 169-190, National Bureau of Economic Research, Inc.
    6. Peitz, Martin & Reisinger, Markus, 2014. "The Economics of Internet Media," Working Papers 14-23, University of Mannheim, Department of Economics.
    7. Avi Goldfarb, 2014. "What is Different About Online Advertising?," Review of Industrial Organization, Springer;The Industrial Organization Society, vol. 44(2), pages 115-129, March.
    8. Hagiu, Andrei & Jullien, Bruno, 2014. "Search diversion and platform competition," International Journal of Industrial Organization, Elsevier, vol. 33(C), pages 48-60.
    9. Alexandre de Cornière, 2016. "Search Advertising," American Economic Journal: Microeconomics, American Economic Association, vol. 8(3), pages 156-188, August.
    10. Emilio Calvano & Bruno Jullien, 2011. "Issues in on-line advertising and competition policy: a two-sided market perspective," Working Papers 427, IGIER (Innocenzo Gasparini Institute for Economic Research), Bocconi University.
    11. Julia Cage & Nicolas Hervé & Marie-Luce Viaud, 2017. "The Production of Information in an Online World: Is Copy Right?," SciencePo Working papers Main hal-03393171, HAL.
    12. Flores-Roux, Ernesto M., 2013. "Mobile broadband: the urgent need for speedier roll-out," Libros de la CEPAL, Naciones Unidas Comisión Económica para América Latina y el Caribe (CEPAL), number 37063.
    13. Federico Etro, 2012. "Leadership in Multi-sided Markets and Dominance in Online Advertising," Chapters, in: Joseph E. Harrington Jr & Yannis Katsoulacos (ed.), Recent Advances in the Analysis of Competition Policy and Regulation, chapter 11, Edward Elgar Publishing.
    14. Jian Pei, 2020. "A Survey on Data Pricing: from Economics to Data Science," Papers 2009.04462, arXiv.org, revised Nov 2020.
    15. Sofia Berto Villas-Boas, 2014. "Big Data in Firms and Economic Research," Applied Economics and Finance, Redfame publishing, vol. 1(1), pages 65-70, May.
    16. Bustillo, René, 2013. "The advance of cloud computing," Libros de la CEPAL, Naciones Unidas Comisión Económica para América Latina y el Caribe (CEPAL), number 37068.
    17. He, Xi & Lopez, Rigoberto A. & Liu, Yizao, 2015. "Substitution between Online and Offline Advertising: Evidence from the Carbonated Soft Drink Industry," 2015 AAEA & WAEA Joint Annual Meeting, July 26-28, San Francisco, California 205212, Agricultural and Applied Economics Association.
    18. Jordán, Valeria & Rojas, Fernando & Barrantes, Roxana, 2013. "The shifting digital paradigm in Latin America," Sede de la CEPAL en Santiago (Estudios e Investigaciones) 39723, Naciones Unidas Comisión Económica para América Latina y el Caribe (CEPAL).
    19. Simon P. Anderson & Øystein Foros & Hans Jarle Kind, 2018. "Competition for Advertisers and for Viewers in Media Markets," Economic Journal, Royal Economic Society, vol. 128(608), pages 34-54, February.
    20. -, 2013. "Broadband in Latin America: Beyond Connectivity," Libros de la CEPAL, Naciones Unidas Comisión Económica para América Latina y el Caribe (CEPAL), number 35899 edited by Eclac.
    21. Jullien, Bruno & Hagiu, Andrei, 2013. "Strategic Search Diversion, Product Affiliation and Platform Competition," CEPR Discussion Papers 9451, C.E.P.R. Discussion Papers.
    22. Chiou, Lesley & Tucker, Catherine, 2013. "Paywalls and the demand for news," Information Economics and Policy, Elsevier, vol. 25(2), pages 61-69.
    23. Doh-Shin Jeon & Nikrooz Nasr Esfahani, 2012. "News Aggregators and Competition Among Newspapers in the Internet," Working Papers 12-20, NET Institute.
    24. Boik, Andre & Greenstein, Shane & Prince, Jeffrey, 2019. "The persistence of broadband user behavior: Implications for universal service and competition policy," Telecommunications Policy, Elsevier, vol. 43(8), pages 1-1.
    25. Alessandro Acquisti & Curtis Taylor & Liad Wagman, 2016. "The Economics of Privacy," Journal of Economic Literature, American Economic Association, vol. 54(2), pages 442-492, June.
    26. Charles Angelucci & Julia Cage, 2015. "Newspapers in Times of Low Advertising Revenues," Working Papers hal-01173957, HAL.
    27. Ambarish Chandra & Ulrich Kaiser, 2014. "Targeted Advertising in Magazine Markets and the Advent of the Internet," Management Science, INFORMS, vol. 60(7), pages 1829-1843, July.
    28. Qihong Liu & Daniel Nedelescu & Ji Gu, 2021. "The impact of strategic agents in two-sided markets," Journal of Economics, Springer, vol. 134(3), pages 195-218, December.
    29. Anna D'Annunzio & Antonio Russo, 2015. "Net Neutrality and Internet Fragmentation: The Role of Online Advertising," CESifo Working Paper Series 5467, CESifo.
    30. Galperin, Hernán & Katz, Raúl L., 2013. "The demand gap: drivers and public policies," Libros de la CEPAL, Naciones Unidas Comisión Económica para América Latina y el Caribe (CEPAL), number 37060.
    31. Viecens, María Fernanda & Galperin, Hernán & Mariscal Avilés, Judith, 2013. "National broadband plans," Libros de la CEPAL, Naciones Unidas Comisión Económica para América Latina y el Caribe (CEPAL), number 37065.
    32. Anna D'Annunzio & Antonio Russo, 2013. "Network Neutrality, Access to Content and Online Advertising," RSCAS Working Papers 2013/57, European University Institute.
    33. Maxime C. Cohen & Antoine Désir & Nitish Korula & Balasubramanian Sivan, 2023. "Best of Both Worlds Ad Contracts: Guaranteed Allocation and Price with Programmatic Efficiency," Management Science, INFORMS, vol. 69(7), pages 4027-4050, July.
    34. Katz, Raúl L., 2013. "Broadband, digitization and development," Libros de la CEPAL, Naciones Unidas Comisión Económica para América Latina y el Caribe (CEPAL), number 37062.
    35. Viecens, María Fernanda & Ganuza, Juan José, 2013. "The challenge of over-the-top content and services," Libros de la CEPAL, Naciones Unidas Comisión Económica para América Latina y el Caribe (CEPAL), number 37069.
    36. Andre Boik & Shane Greenstein & Jeffrey Prince, 2016. "The Empirical Economics of Online Attention," NBER Working Papers 22427, National Bureau of Economic Research, Inc.
    37. Lesley Chiou & Catherine Tucker, 2015. "Content Aggregation by Platforms: The Case of the News Media," NBER Working Papers 21404, National Bureau of Economic Research, Inc.
    38. Bruno Jullien & Alessandro Pavan, 2014. "Platform Pricing under Dispersed Information," Discussion Papers 1568r, Northwestern University, Center for Mathematical Studies in Economics and Management Science.
    39. Charles Angelucci & Julia Cage, 2019. "Newspapers in Times of Low Advertising Revenues," SciencePo Working papers Main hal-03391880, HAL.
    40. von Ehrlich, Maximilian & Greiner, Tanja, 2013. "The role of online platforms for media markets — Two-dimensional spatial competition in a two-sided market," International Journal of Industrial Organization, Elsevier, vol. 31(6), pages 723-737.
    41. Kerkhof, Anna & Münster, Johannes, 2015. "Quantity restrictions on advertising, commercial media bias, and welfare," Journal of Public Economics, Elsevier, vol. 131(C), pages 124-141.
    42. Colciago, Andrea & Etro, Federico, 2013. "Cloud computing, structural change and job creation in SMEs," Libros de la CEPAL, Naciones Unidas Comisión Económica para América Latina y el Caribe (CEPAL), number 37064.
    43. Hong, Sounman, 2012. "Online news on Twitter: Newspapers’ social media adoption and their online readership," Information Economics and Policy, Elsevier, vol. 24(1), pages 69-74.
    44. Anja Lambrecht & Avi Goldfarb & Alessandro Bonatti & Anindya Ghose & Daniel Goldstein & Randall Lewis & Anita Rao & Navdeep Sahni & Song Yao, 2014. "How do firms make money selling digital goods online?," Marketing Letters, Springer, vol. 25(3), pages 331-341, September.
    45. Bustillo, René, 2013. "Net neutrality: debate and policies," Libros de la CEPAL, Naciones Unidas Comisión Económica para América Latina y el Caribe (CEPAL), number 37067.
    46. UNGUREANU Andrei & POPESCU Doris-Louise, 2022. "Online Advertising - History, Evolution, And Challenges," Revista Economica, Lucian Blaga University of Sibiu, Faculty of Economic Sciences, vol. 74(3), pages 121-130, October.
    47. Anja Lambrecht & Kanishka Misra, 2017. "Fee or Free: When Should Firms Charge for Online Content?," Management Science, INFORMS, vol. 63(4), pages 1150-1165, April.
    48. Lesley Chiou & Catherine Tucker, 2011. "How Does Content Aggregation Affect Users' Search for Information?," Working Papers 11-18, NET Institute, revised Oct 2011.
    49. Frago Kourandi & Jan Krämer & Tommaso Valletti, 2015. "Net Neutrality, Exclusivity Contracts, and Internet Fragmentation," Information Systems Research, INFORMS, vol. 26(2), pages 320-338, June.
    50. Choi, Daewon, 2013. "Broadband and industrial policy: the Korean experience..," Libros de la CEPAL, Naciones Unidas Comisión Económica para América Latina y el Caribe (CEPAL), number 37066.
    51. Sung, Nakil & Kim, Jaekyeong, 2020. "Does the internet kill newspapers? The case of South Korea," Telecommunications Policy, Elsevier, vol. 44(4).
    52. Athey, Susan & Calvano, Emilio & Gans, Joshua S., 2016. "The Impact of Consumer Multi-homing on Advertising Markets and Media Competition," Research Papers 3407, Stanford University, Graduate School of Business.
    53. David S. Evans & Richard Schmalensee, 2013. "The Antitrust Analysis of Multi-Sided Platform Businesses," NBER Working Papers 18783, National Bureau of Economic Research, Inc.
    54. Alexandre de Corniere & Romain De Nijs, 2013. "Online Advertising and Privacy," Economics Series Working Papers 650, University of Oxford, Department of Economics.

  68. Susan Athey & Scott Stern, 2013. "The Nature and Incidence of Software Piracy: Evidence from Windows," NBER Working Papers 19755, National Bureau of Economic Research, Inc.

    Cited by:

    1. Milan Miric & Lars Bo Jeppesen, 2020. "Does piracy lead to product abandonment or stimulate new product development?: Evidence from mobile platform‐based developer firms," Strategic Management Journal, Wiley Blackwell, vol. 41(12), pages 2155-2184, December.
    2. Shane Greenstein, 2020. "Digital Infrastructure," NBER Chapters, in: Economic Analysis and Infrastructure Investment, pages 409-447, National Bureau of Economic Research, Inc.
    3. Bradley, Wendy A. & Kolev, Julian, 2023. "How does digital piracy affect innovation? Evidence from software firms," Research Policy, Elsevier, vol. 52(3).
    4. Xinyu Hua & Kathryn E. Spier, 2023. "Settling Lawsuits With Pirates," International Economic Review, Department of Economics, University of Pennsylvania and Osaka University Institute of Social and Economic Research Association, vol. 64(2), pages 543-575, May.
    5. Bastiaan Overvest & Bas Straathof, 2015. "What drives cybercrime? Empirical evidence from DDoS attacks," CPB Discussion Paper 306, CPB Netherlands Bureau for Economic Policy Analysis.
    6. Martínez-Sánchez, Francisco, 2020. "Preventing commercial piracy when consumers are loss averse," Information Economics and Policy, Elsevier, vol. 53(C).

  69. Susan Athey & Dominic Coey & Jonathan Levin, 2011. "Set-Asides and Subsidies in Auctions," NBER Working Papers 16851, National Bureau of Economic Research, Inc.

    Cited by:

    1. Grundl, Serafin & Zhu, Yu, 2019. "Identification and estimation of risk aversion in first-price auctions with unobserved auction heterogeneity," Journal of Econometrics, Elsevier, vol. 210(2), pages 363-378.
    2. Klenio Barbosa & Pierre Boyer, 2016. "Discrimination in Dynamic Procurement Design with Learning-by-doing," Working Papers 2016-37, Center for Research in Economics and Statistics.
    3. Vivek Bhattacharya & James W. Roberts & Andrew Sweeting, 2013. "Regulating Bidder Participation in Auctions," NBER Working Papers 19352, National Bureau of Economic Research, Inc.
    4. Jose Alcalde & Matthias Dahm, 2020. "Affirmative Action through Endogenous Set-Asides," Discussion Papers 2020-01, The Centre for Decision Research and Experimental Economics, School of Economics, University of Nottingham.
    5. Paulo R. C. Reis & Sandro Cabral, 2015. "Public procurement strategy: the impacts of a preference programme for small and micro businesses," Public Money & Management, Taylor & Francis Journals, vol. 35(2), pages 103-110, March.
    6. James W. Roberts & Andrew Sweeting, 2016. "Bailouts and the Preservation of Competition: The Case of the Federal Timber Contract Payment Modification Act," American Economic Journal: Microeconomics, American Economic Association, vol. 8(3), pages 257-288, August.
    7. Dominic Coey & Bradley Larsen & Kane Sweeney, 2019. "The bidder exclusion effect," RAND Journal of Economics, RAND Corporation, vol. 50(1), pages 93-120, March.
    8. Seres, G. & Pigon, Adam, 2019. "On the Competitive Effects of Screening in Procurement," Discussion Paper 2019-009, Tilburg University, Tilburg Law and Economic Center.
    9. Rahul Deb & Mallesh Pai, 2013. "Symmetric Auctions," Working Papers tecipa-486, University of Toronto, Department of Economics.
    10. Chiappinelli, Olga & Seres, Gyula, 2024. "Optimal discounts in green public procurement," Economics Letters, Elsevier, vol. 238(C).
    11. Decarolis, Francesco & Giuffrida, Leonardo & Iossa, Elisabetta & Mollisi, Vincenzo & Spagnolo, Giancarlo, 2019. "Bureaucratic competence and procurement outcomes," ZEW Discussion Papers 19-057, ZEW - Leibniz Centre for European Economic Research.
    12. Daniel Garrett & Andrey Ordin & James W. Roberts & Juan Carlos Suárez Serrato, 2017. "Tax Advantages and Imperfect Competition in Auctions for Municipal Bonds," NBER Working Papers 23473, National Bureau of Economic Research, Inc.
    13. Joachim R. Groeger, 2014. "A Study Of Participation In Dynamic Auctions," International Economic Review, Department of Economics, University of Pennsylvania and Osaka University Institute of Social and Economic Research Association, vol. 55(4), pages 1129-1154, November.
    14. Che, Yeon-Koo & Gale, Ian & Kim, Jinwoo, 2013. "Efficient assignment mechanisms for liquidity-constrained agents," International Journal of Industrial Organization, Elsevier, vol. 31(5), pages 659-665.
    15. Rosa, Benjamin, 2016. "Subcontracting Requirements and the Cost of Government Procurement," MPRA Paper 77392, University Library of Munich, Germany.
    16. Rosa, Benjamin, 2019. "Bid Credits in Simultaneous Ascending Auctions," MPRA Paper 96895, University Library of Munich, Germany.
    17. Spagnolo, Giancarlo & Butler, Jeff & Conzo, Pierluigi & Carbone, Enrica, 2013. "Reputation and Entry in Procurement," CEPR Discussion Papers 9651, C.E.P.R. Discussion Papers.
    18. Mojduszka, Eliza M., 2018. "An Analysis of the Forest Service Timber Sale Auctions and of the Effects of the Potential Inclusion of Stewardship Timber Contracts in the Set-Aside Program: a Case Study of the Pacific North-West Re," 2018 Annual Meeting, August 5-7, Washington, D.C. 274294, Agricultural and Applied Economics Association.
    19. Jayeeta Bhattacharya & Nathalie Gimenes & Emmanuel Guerre, 2019. "Semiparametric Quantile Models for Ascending Auctions with Asymmetric Bidders," Papers 1911.13063, arXiv.org, revised Sep 2020.
    20. Cave, Martin & Nicholls, Rob, 2017. "The use of spectrum auctions to attain multiple objectives: Policy implications," Telecommunications Policy, Elsevier, vol. 41(5), pages 367-378.
    21. Rosa, Benjamin, 2016. "Resident Bid Preference, Affiliation, and Procurement Competition: Evidence from New Mexico," MPRA Paper 68759, University Library of Munich, Germany.
    22. Hitoshi Matsushima, 2021. "Auctions with Ethical Concerns," CARF F-Series CARF-F-515, Center for Advanced Research in Finance, Faculty of Economics, The University of Tokyo.
    23. Cappelletti, Matilde & Giuffrida, Leonardo M., 2022. "Targeted bidders in government tenders," ZEW Discussion Papers 22-030, ZEW - Leibniz Centre for European Economic Research.
    24. Matilde Cappelletti & Leonardo M. Giuffrida, 2024. "Targeted Bidders in Government Tenders," CESifo Working Paper Series 11142, CESifo.
    25. Sandro Cabral, 2017. "Reconciling Conflicting Policy Objectives in Public Contracting: The Enabling Role of Capabilities," Journal of Management Studies, Wiley Blackwell, vol. 54(6), pages 823-853, September.
    26. José Alcalde & Matthias Dahm, "undated". "Supplier Diversity before the Time of Cholera," Discussion Papers in Economics 20/07, Division of Economics, School of Business, University of Leicester.
    27. Lamy, Laurent & Jehiel, Philippe, 2016. "On the benefits of set-asides," CEPR Discussion Papers 11564, C.E.P.R. Discussion Papers.
    28. James W. Roberts & Andrew Sweeting, 2013. "When Should Sellers Use Auctions?," American Economic Review, American Economic Association, vol. 103(5), pages 1830-1861, August.
    29. Luis Andres Marentes & Sergio Cabrales & Tilman Wolf & Anna Nagurney & Yezid Donoso, 2021. "A bandwidth auction mechanism to enable affordable internet access," Netnomics, Springer, vol. 22(2), pages 283-316, December.
    30. Subhasish M. Chowdhury & Patricia Esteve‐González & Anwesha Mukherjee, 2023. "Heterogeneity, leveling the playing field, and affirmative action in contests," Southern Economic Journal, John Wiley & Sons, vol. 89(3), pages 924-974, January.
    31. Toivanen, Otto & Hyytinen, Ari & Lundberg, Sofia, 2016. "Design of Public Procurement Auctions: Evidence from Cleaning Contracts," CEPR Discussion Papers 11708, C.E.P.R. Discussion Papers.
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    38. Michele Fioretti, 2022. "Caring or Pretending to Care? Social Impact, Firms' Objectives, and Welfare (former title: Social Responsibility and Firm's Objectives)," Working Papers hal-03393065, HAL.
    39. Ni Yan & WenTing Tao, 2023. "Set-Asides in USDA Food Procurement Auctions," Papers 2302.05772, arXiv.org.
    40. Georgia Kosmopoulou & Carlos Lamarche & Xueqi Zhou, 2016. "Price Adjustment Policies And Firm Size," Economic Inquiry, Western Economic Association International, vol. 54(2), pages 895-906, April.
    41. Rosa, Benjamin, 2022. "Diversity versus Equity in Government Contracting," MPRA Paper 114765, University Library of Munich, Germany.
    42. Manzano, Carolina & Vives, Xavier, 2021. "Market power and welfare in asymmetric divisible good auctions," Theoretical Economics, Econometric Society, vol. 16(3), July.
    43. Bernhardt, Dan & Liu, Tingjun & Sogo, Takeharu, 2019. "Costly auction entry, royalty payments, and the optimality of asymmetric designs," The Warwick Economics Research Paper Series (TWERPS) 1200, University of Warwick, Department of Economics.
    44. Prokopovych, Pavlo & Yannelis, Nicholas C., 2019. "On monotone approximate and exact equilibria of an asymmetric first-price auction with affiliated private information," Journal of Economic Theory, Elsevier, vol. 184(C).
    45. Jun Nakabayashi, 2009. "Small Business Set-asides in Procurement Auctions: An Empirical Analysis," Tsukuba Economics Working Papers 2009-005, Faculty of Humanities and Social Sciences, University of Tsukuba, revised Nov 2009.
    46. Doran, Colin & Stratmann, Thomas, 2021. "How does liability affect prices? Railroad sparks and timber," International Review of Law and Economics, Elsevier, vol. 66(C).
    47. Gary Madden & Hiroaki Suenaga, 2017. "The determinants of price in 3G spectrum auctions," Applied Economics, Taylor & Francis Journals, vol. 49(32), pages 3129-3140, July.
    48. Kirkegaard, René, 2022. "Efficiency in asymmetric auctions with endogenous reserve prices," Games and Economic Behavior, Elsevier, vol. 132(C), pages 234-239.
    49. Andrey Tkachenko & Paola Valbonesi & Elena Shadrina & Gegam Shagbazian, 2019. "Efficient design of set-aside auctions for small businesses: an empirical analysis," "Marco Fanno" Working Papers 0240, Dipartimento di Scienze Economiche "Marco Fanno".
    50. Kotowski, Maciej H., 2018. "On asymmetric reserve prices," Theoretical Economics, Econometric Society, vol. 13(1), January.
    51. Hoekman, Bernard & Onur Taş, Bedri Kamil, 2024. "Discretion and public procurement outcomes in Europe," European Journal of Political Economy, Elsevier, vol. 82(C).
    52. Rodrigo Carril & Andres Gonzalez-Lira & Michael S. Walker, 2022. "Competition under Incomplete Contracts and the Design of Procurement Policies," Working Papers 1327, Barcelona School of Economics.
    53. Wu, Shuping & Yang, Zan, 2020. "Informal government preferences and asymmetric land allocation in China," Land Use Policy, Elsevier, vol. 99(C).
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    55. Brown, David, 2014. "The Effect of Subsidized Entry on Capacity Auctions and the Long-Run Resource Adequacy of Electricity Markets," Working Papers 2014-7, University of Alberta, Department of Economics.
    56. Tkachenko, Andrey, 2022. "State-business relations and access to external financing," BOFIT Discussion Papers 10/2022, Bank of Finland Institute for Emerging Economies (BOFIT).
    57. Luis Andres Marentes & Sergio Cabrales & Tilman Wolf & Anna Nagurney & Yezid Donoso, 2022. "A bandwidth auction mechanism to enable affordable internet access," Netnomics, Springer, vol. 22(2), pages 283-316, October.
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  70. Susan Athey & Glenn Ellison & Susan C. Athey, 2010. "Dynamics of Open Source Movements," CESifo Working Paper Series 3215, CESifo.

    Cited by:

    1. Suhada, Thontowi A. & Ford, Jerad A. & Verreynne, Martie-Louise & Indulska, Marta, 2021. "Motivating individuals to contribute to firms’ non-pecuniary open innovation goals," Technovation, Elsevier, vol. 102(C).
    2. Frank Nagle, 2019. "Open Source Software and Firm Productivity," Management Science, INFORMS, vol. 65(3), pages 1191-1215, March.
    3. Teppo Felin & Bruno S. Frey & Roger Lüthi & Margit Osterloh, 2012. "Community Enterprises—An Institutional Innovation," Managerial and Decision Economics, John Wiley & Sons, Ltd., vol. 33(5-6), pages 427-439, July.
    4. Bottai, Carlo, 2015. "Open Innovation in a Model à la Hotelling," Department of Economics and Statistics Cognetti de Martiis. Working Papers 201526, University of Turin.
    5. Michael Schwarz & Yuri Takhteyev, 2009. "Half a Century of Public Software Institutions: Open Source as a Solution to Hold-Up Problem," NBER Working Papers 14946, National Bureau of Economic Research, Inc.
    6. Terrence August & Wei Chen & Kevin Zhu, 2021. "Competition Among Proprietary and Open-Source Software Firms: The Role of Licensing in Strategic Contribution," Management Science, INFORMS, vol. 67(5), pages 3041-3066, May.
    7. Fursov, Konstantin & Linton, Jonathan, 2022. "Social innovation: Integrating product and user innovation," Technological Forecasting and Social Change, Elsevier, vol. 174(C).
    8. Chenhui (Julian) Guo & Tae Hun Kim & Anjana Susarla & Vallabh Sambamurthy, 2020. "Understanding Content Contribution Behavior in a Geosegmented Mobile Virtual Community: The Context of Waze," Information Systems Research, INFORMS, vol. 31(4), pages 1398-1420, December.
    9. Johannes Loh & Tobias Kretschmer, 2023. "Online communities on competing platforms: Evidence from game wikis," Strategic Management Journal, Wiley Blackwell, vol. 44(2), pages 441-476, February.
    10. Gastón Llanes & Ramiro de Elejalde, 2009. "Industry Equilibrium with Open Source and Proprietary Firms," Harvard Business School Working Papers 09-149, Harvard Business School.
    11. Fershtman, Chaim & Gandal, Neil, 2011. "A Brief Survey of the Economics of Open Source Software," CEPR Discussion Papers 8434, C.E.P.R. Discussion Papers.
    12. Jeongmeen Suh & Murat Yılmaz, 2019. "Economics of Open Source Technology: A Dynamic Approach," Dynamic Games and Applications, Springer, vol. 9(1), pages 254-280, March.
    13. Chen, Xiaomeng & Forman, Christopher & Kummer, Michael E., 2021. "Chat more and contribute better: An empirical study of a knowledge-sharing community," ZEW Discussion Papers 21-061, ZEW - Leibniz Centre for European Economic Research.
    14. Ding, Rong & Ko, Chiu Yu & Shen, Bo, 2022. "Partial compatibility in two-sided markets: Equilibrium and welfare analysis," Economic Modelling, Elsevier, vol. 116(C).
    15. Abhishek Nagaraj, 2021. "Information Seeding and Knowledge Production in Online Communities: Evidence from OpenStreetMap," Management Science, INFORMS, vol. 67(8), pages 4908-4934, August.
    16. Chowdhury Mohammad Sakib Anwar & Konstantinos Georgalos, 2023. "Position Uncertainty in a Sequential Public Goods Game: An Experiment," Papers 2308.00179, arXiv.org, revised Apr 2024.
    17. Murat Yılmaz, 2022. "Coexistence of proprietary and open‐source firms under product differentiation," Managerial and Decision Economics, John Wiley & Sons, Ltd., vol. 43(8), pages 4153-4166, December.
    18. Frank Nagle, 2018. "Learning by Contributing: Gaining Competitive Advantage Through Contribution to Crowdsourced Public Goods," Organization Science, INFORMS, vol. 29(4), pages 569-587, August.
    19. Chowdhury Mohammad Sakib Anwar & Konstantinos Georgalos, 2024. "Position uncertainty in a sequential public goods game: an experiment," Experimental Economics, Springer;Economic Science Association, vol. 27(4), pages 820-853, September.
    20. Vidya Atal & Kameshwari Shankar, 2014. "Open Source Software: Competition with A Public Good," Atlantic Economic Journal, Springer;International Atlantic Economic Society, vol. 42(3), pages 333-345, September.
    21. Jürgen Bitzer & Ingo Geishecker & Philipp J. H. Schröder, 2017. "Is there a wage premium for volunteer OSS engagement? – signalling, learning and noise," Applied Economics, Taylor & Francis Journals, vol. 49(14), pages 1379-1394, March.
    22. Gastón Llanes, 2019. "Competitive strategy for open and user innovation," Journal of Economics & Management Strategy, Wiley Blackwell, vol. 28(2), pages 280-297, April.
    23. Sacks, Michael, 2021. "Incentives for the over-provision of public goods," Journal of Economic Behavior & Organization, Elsevier, vol. 191(C), pages 197-213.

  71. Susan Athey & Jonathan Levin & Enrique Seira, 2008. "Comparing Open and Sealed Bid Auctions: Evidence from Timber Auctions," NBER Working Papers 14590, National Bureau of Economic Research, Inc.

    Cited by:

    1. Matthew Gentry & Tong Li, 2012. "Identification in auctions with selective entry," CeMMAP working papers CWP38/12, Centre for Microdata Methods and Practice, Institute for Fiscal Studies.
    2. Victor Aguirregabiria & Margaret Slade, 2017. "Empirical models of firms and industries," Canadian Journal of Economics, Canadian Economics Association, vol. 50(5), pages 1445-1488, December.
    3. Lu, Jiaxuan, 2023. "The economics of China’s between-city height competition: A regression discontinuity approach," Regional Science and Urban Economics, Elsevier, vol. 100(C).
    4. Grundl, Serafin & Zhu, Yu, 2019. "Identification and estimation of risk aversion in first-price auctions with unobserved auction heterogeneity," Journal of Econometrics, Elsevier, vol. 210(2), pages 363-378.
    5. Gentry, Matthew & Li, Tong & Lu, Jingfeng, 2017. "Auctions with selective entry," LSE Research Online Documents on Economics 83664, London School of Economics and Political Science, LSE Library.
    6. Xiaohong Chen & Matthew Gentry & Tong Li & Jingfeng Lu, 2020. "Identification and Inference in First-Price Auctions with Risk Averse Bidders and Selective Entry," Cowles Foundation Discussion Papers 2257, Cowles Foundation for Research in Economics, Yale University.
    7. JoonHwan Cho & Yao Luo & Ruli Xiao, 2024. "Deconvolution from two order statistics," Papers 2403.17777, arXiv.org.
    8. Laurent Lamy, 2007. "The Econometrics of Auctions with Asymmetric Anonymous Bidders," Working Papers 2007-24, Center for Research in Economics and Statistics.
    9. Xin Feng & Jingfeng Lu & Yeneng Sun, 2020. "Ex Ante Efficient Mechanism With Private Entry Costs," Economic Inquiry, Western Economic Association International, vol. 58(3), pages 1531-1541, July.
    10. Vivek Bhattacharya & James W. Roberts & Andrew Sweeting, 2013. "Regulating Bidder Participation in Auctions," NBER Working Papers 19352, National Bureau of Economic Research, Inc.
    11. James W. Roberts & Andrew Sweeting, 2016. "Bailouts and the Preservation of Competition: The Case of the Federal Timber Contract Payment Modification Act," American Economic Journal: Microeconomics, American Economic Association, vol. 8(3), pages 257-288, August.
    12. Dominic Coey & Bradley Larsen & Kane Sweeney, 2019. "The bidder exclusion effect," RAND Journal of Economics, RAND Corporation, vol. 50(1), pages 93-120, March.
    13. Javier D. Donna & José†Antonio Espín†Sánchez, 2018. "Complements and substitutes in sequential auctions: the case of water auctions," RAND Journal of Economics, RAND Corporation, vol. 49(1), pages 87-127, March.
    14. Joseph Kuehn, 2019. "Estimating Auctions with Externalities: The Case of USFS Timber Auctions," The Review of Economics and Statistics, MIT Press, vol. 101(5), pages 791-807, December.
    15. Eric Auerbach & Yong Cai, 2022. "Heterogeneous Treatment Effects for Networks, Panels, and other Outcome Matrices," Papers 2205.01246, arXiv.org, revised Oct 2022.
    16. Gentry, Matthew & Komarova, Tatiana & Schiraldi, Pasquale & Shin, Wiroy, 2019. "On monotone strategy equilibria in simultaneous auctions for complementary goods," Journal of Mathematical Economics, Elsevier, vol. 85(C), pages 109-128.
    17. Susan Athey & Philip A. Haile, 2006. "Empirical Models of Auctions," Cowles Foundation Discussion Papers 1562, Cowles Foundation for Research in Economics, Yale University.
    18. Weichselbaumer, Michael, 2024. "Competition after mergers near review thresholds," International Journal of Industrial Organization, Elsevier, vol. 94(C).
    19. Tong Li & Jingfeng Lu & Li Zhao, 2015. "Auctions with selective entry and risk averse bidders: theory and evidence," RAND Journal of Economics, RAND Corporation, vol. 46(3), pages 524-545, September.
    20. Gaurab Aryal & Maria Florencia Gabrielli, 2023. "Is Collusion-proof Procurement Expensive?," Working Papers 248, Red Nacional de Investigadores en Economía (RedNIE).
    21. Jean-François Richard, 2019. "Bidder Collusion: Accounting for All Feasible Bidders," Working Paper 6759, Department of Economics, University of Pittsburgh.
    22. Marty, Gérard, 2020. "De la chandelle aux ventes informatisées. L’organisation des ventes aux enchères de bois des forêts publiques, entre gouvernement des intérêts privés et souci de l’intérêt général (1318-2020)," Économie rurale, French Society of Rural Economics (SFER Société Française d'Economie Rurale), vol. 373(July-Sept).
    23. Lu, Y. & Gupta, A. & Ketter, W. & van Heck, H.W.G.M., 2017. "Information Transparency in B2B Auction Markets: The Role of Winner Identity Disclosure," ERIM Report Series Research in Management ERS-2017-006-LIS, Erasmus Research Institute of Management (ERIM), ERIM is the joint research institute of the Rotterdam School of Management, Erasmus University and the Erasmus School of Economics (ESE) at Erasmus University Rotterdam.
    24. Liran Einav & Jonathan Levin, 2010. "Empirical Industrial Organization: A Progress Report," Journal of Economic Perspectives, American Economic Association, vol. 24(2), pages 145-162, Spring.
    25. Philip A. Haile & Yuichi Kitamura, 2018. "Unobserved Heterogeneity in Auctions," Cowles Foundation Discussion Papers 2141, Cowles Foundation for Research in Economics, Yale University.
    26. Marmer, Vadim & Shneyerov, Artyom & Xu, Pai, 2013. "What model for entry in first-price auctions? A nonparametric approach," Journal of Econometrics, Elsevier, vol. 176(1), pages 46-58.
    27. Vigren, Andreas, 2017. "How many want to drive the bus? analyzing the number of bids for public transport bus contracts," Working papers in Transport Economics 2017:13, CTS - Centre for Transport Studies Stockholm (KTH and VTI).
    28. Sabrina Peng, 2020. "Selective Entry in Highway Procurement Auctions," Atlantic Economic Journal, Springer;International Atlantic Economic Society, vol. 48(4), pages 519-533, December.
    29. Elena Krasnokutskaya & Katja Seim, 2011. "Bid Preference Programs and Participation in Highway Procurement Auctions," American Economic Review, American Economic Association, vol. 101(6), pages 2653-2686, October.
    30. Daniel Garrett & Andrey Ordin & James W. Roberts & Juan Carlos Suárez Serrato, 2017. "Tax Advantages and Imperfect Competition in Auctions for Municipal Bonds," NBER Working Papers 23473, National Bureau of Economic Research, Inc.
    31. Joachim R. Groeger, 2014. "A Study Of Participation In Dynamic Auctions," International Economic Review, Department of Economics, University of Pennsylvania and Osaka University Institute of Social and Economic Research Association, vol. 55(4), pages 1129-1154, November.
    32. Todd R. Kaplan & Shmuel Zamir, 2014. "Advances in Auctions," Discussion Paper Series dp662, The Federmann Center for the Study of Rationality, the Hebrew University, Jerusalem.
    33. Deininger, Klaus W. & Ali, Daniel Ayalew & Neyter, Roman, 2023. "Impacts of a mandatory shift to decentralized online auctions on revenue from public land leases in Ukraine," Journal of Economic Behavior & Organization, Elsevier, vol. 213(C), pages 432-450.
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    35. Farnia, Farnoush & Frayret, Jean-Marc & Beaudry, Catherine & Lebel, Luc, 2015. "Time-based combinatorial auction for timber allocation and delivery coordination," Forest Policy and Economics, Elsevier, vol. 50(C), pages 143-152.
    36. Mojduszka, Eliza M., 2018. "An Analysis of the Forest Service Timber Sale Auctions and of the Effects of the Potential Inclusion of Stewardship Timber Contracts in the Set-Aside Program: a Case Study of the Pacific North-West Re," 2018 Annual Meeting, August 5-7, Washington, D.C. 274294, Agricultural and Applied Economics Association.
    37. Joel O. Wooten & Joan M. Donohue & Timothy D. Fry & Kathleen M. Whitcomb, 2020. "To Thine Own Self Be True: Asymmetric Information in Procurement Auctions," Production and Operations Management, Production and Operations Management Society, vol. 29(7), pages 1679-1701, July.
    38. Hanming Fang & Xun Tang, 2013. "Inference of Bidders' Risk Attitudes in Ascending Auctions with Endogenous Entry," NBER Working Papers 19435, National Bureau of Economic Research, Inc.
    39. Stefan Seifert & Silke Hüttel, 2023. "Is there a risk of a winner’s curse in farmland auctions?," European Review of Agricultural Economics, Oxford University Press and the European Agricultural and Applied Economics Publications Foundation, vol. 50(3), pages 1140-1177.
    40. Kong, Yunmi, 2022. "Identification of English auctions when losing entrants are not observed," International Journal of Industrial Organization, Elsevier, vol. 85(C).
    41. Jos'-Antonio Esp'n-S'nchez & 'lvaro Parra & Yuzhou Wang, 2018. "Equilibrium Uniqueness in Entry Games with Private Information," Cowles Foundation Discussion Papers 2126R, Cowles Foundation for Research in Economics, Yale University, revised May 2021.
    42. Sümeyra Atmaca & Elena Podkolzina & Koen Schoors, 2019. "Corrupt Reserve Prices," Working Papers of Faculty of Economics and Business Administration, Ghent University, Belgium 19/961, Ghent University, Faculty of Economics and Business Administration.
    43. Jayeeta Bhattacharya & Nathalie Gimenes & Emmanuel Guerre, 2019. "Semiparametric Quantile Models for Ascending Auctions with Asymmetric Bidders," Papers 1911.13063, arXiv.org, revised Sep 2020.
    44. Yuen Leng Chow & Joseph T.L. Ooi, 2014. "First-Price Sealed-Bid Tender versus English Open Auction: Evidence from Land Auctions," Real Estate Economics, American Real Estate and Urban Economics Association, vol. 42(2), pages 253-278, June.
    45. Wang, Hong, 2017. "Information acquisition versus information manipulation in multi-period procurement markets," Information Economics and Policy, Elsevier, vol. 40(C), pages 48-59.
    46. Huang, Yangguang, 2019. "An empirical study of scoring auctions and quality manipulation corruption," European Economic Review, Elsevier, vol. 120(C).
    47. Rosa, Benjamin, 2016. "Resident Bid Preference, Affiliation, and Procurement Competition: Evidence from New Mexico," MPRA Paper 68759, University Library of Munich, Germany.
    48. An, Yonghong, 2017. "Identification of first-price auctions with non-equilibrium beliefs: A measurement error approach," Journal of Econometrics, Elsevier, vol. 200(2), pages 326-343.
    49. Maasland, E., 2012. "Essays in auction theory," Other publications TiSEM 66fdb7ea-36e1-40d6-b6fd-c, Tilburg University, School of Economics and Management.
    50. Giovanni Compiani & Philip Haile & Marcelo Sant’Anna, 2020. "Common Values, Unobserved Heterogeneity, and Endogenous Entry in US Offshore Oil Lease Auctions," Journal of Political Economy, University of Chicago Press, vol. 128(10), pages 3872-3912.
    51. de Leverano, Adriano, 2019. "Collusion through market sharing agreements: Evidence from Quebec's road paving market," ZEW Discussion Papers 19-053, ZEW - Leibniz Centre for European Economic Research.
    52. Sandro Shelegia & Joshua Sherman, 2018. "Bargaining at Retail Stores: Evidence from Vienna," Working Papers 1032, Barcelona School of Economics.
    53. Lamy, Laurent & Jehiel, Philippe, 2016. "On the benefits of set-asides," CEPR Discussion Papers 11564, C.E.P.R. Discussion Papers.
    54. Zulehner, Christine & Gugler, Klaus Peter & Weichselbaumer, Michael, 2015. "Analysis of mergers in first-price auctions," CEPR Discussion Papers 10799, C.E.P.R. Discussion Papers.
    55. James W. Roberts, 2013. "Unobserved heterogeneity and reserve prices in auctions," RAND Journal of Economics, RAND Corporation, vol. 44(4), pages 712-732, December.
    56. Jihui Chen & Maochao Xu, 2015. "Asymmetry and revenue in second-price auctions: a majorization approach," Journal of Economics and Finance, Springer;Academy of Economics and Finance, vol. 39(3), pages 625-640, July.
    57. Rafael Lalive & Armin Schmutzler, 2011. "Auctions vs negotiations in public procurement: which works better?," ECON - Working Papers 023, Department of Economics - University of Zurich.
    58. Krasnokutskaya, Elena & Song, Kyungchul & Tang, Xun, 2022. "Estimating unobserved individual heterogeneity using pairwise comparisons," Journal of Econometrics, Elsevier, vol. 226(2), pages 477-497.
    59. Gaurab Aryal & Dong-Hyuk Kim, 2013. "Emprical Relevance of Ambiguity in First Price Auction Models," ANU Working Papers in Economics and Econometrics 2013-607, Australian National University, College of Business and Economics, School of Economics.
    60. Nathalie Gimenes, 2014. "Econometrics of Ascending Auctions by Quantile Regression," Working Papers, Department of Economics 2014_25, University of São Paulo (FEA-USP).
    61. Barkley, Aaron & Groeger, Joachim R. & Miller, Robert A., 2021. "Bidding frictions in ascending auctions," Journal of Econometrics, Elsevier, vol. 223(2), pages 376-400.
    62. Matthew Gentry & Tong Li & Jingfeng Lu, 2015. "Identification and estimation in first-price auctions with risk-averse bidders and selective entry," CeMMAP working papers 16/15, Institute for Fiscal Studies.
    63. Zhongmin Wang & Minbo Xu, 2016. "Empirical Evidence on Competition and Revenue in an All-Pay Contest," Review of Industrial Organization, Springer;The Industrial Organization Society, vol. 49(3), pages 429-448, November.
    64. Giuffrida, Leonardo M. & Rovigatti, Gabriele, 2018. "Can the private sector ensure the public interest? Evidence from federal procurement," ZEW Discussion Papers 18-045, ZEW - Leibniz Centre for European Economic Research.
    65. Cristián Hernández & Daniel Quint & Christopher Turansick, 2020. "Estimation in English auctions with unobserved heterogeneity," RAND Journal of Economics, RAND Corporation, vol. 51(3), pages 868-904, September.
    66. Yunmi Kong, 2020. "Not knowing the competition: evidence and implications for auction design," RAND Journal of Economics, RAND Corporation, vol. 51(3), pages 840-867, September.
    67. Farnia, Farnoush & Frayret, Jean-Marc & LeBel, Luc & Beaudry, Catherine, 2013. "Multiple-round timber auction design and simulation," International Journal of Production Economics, Elsevier, vol. 146(1), pages 129-141.
    68. Ayako Suzuki, 2021. "Investigating Pure Bundling in Japan’s Electricity Procurement Auctions," Mathematics, MDPI, vol. 9(14), pages 1-19, July.
    69. Johannes Wachs & J'anos Kert'esz, 2019. "A network approach to cartel detection in public auction markets," Papers 1906.08667, arXiv.org.
    70. Neil Newman & Kevin Leyton-Brown & Paul Milgrom & Ilya Segal, 2024. "Incentive Auction Design Alternatives: A Simulation Study," Management Science, INFORMS, vol. 70(11), pages 8187-8215, November.
    71. Susan Athey & Jonathan Levin & Enrique Seira, "undated". "Comparing Open and Sealed Bid Auctions: Evidence from Timber Auctions," Discussion Papers 08-012, Stanford Institute for Economic Policy Research.
    72. Shanglyu Deng & Qiyao Zhou, 2023. "Recurring Auctions with Costly Entry: Theory and Evidence," Papers 2306.17355, arXiv.org, revised Aug 2023.
    73. Li, Tong & Zheng, Xiaoyong, 2012. "Information acquisition and/or bid preparation: A structural analysis of entry and bidding in timber sale auctions," Journal of Econometrics, Elsevier, vol. 168(1), pages 29-46.
    74. Leonardo M. Giuffrida & Gabriele Rovigatti, 2022. "Supplier selection and contract enforcement: Evidence from performance bonding," Journal of Economics & Management Strategy, Wiley Blackwell, vol. 31(4), pages 980-1019, November.
    75. Yixin Lu & Alok Gupta & Wolfgang Ketter & Eric van Heck, 2019. "Dynamic Decision Making in Sequential Business-to-Business Auctions: A Structural Econometric Approach," Management Science, INFORMS, vol. 65(8), pages 3853-3876, August.
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    122. Hu, Audrey & Offerman, Theo & Zou, Liang, 2011. "Premium auctions and risk preferences," Journal of Economic Theory, Elsevier, vol. 146(6), pages 2420-2439.
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    124. Chernomaz Kirill & Yoshimoto Hisayuki, 2020. "How Accurately Do Structural Asymmetric First-Price Auction Estimates Represent True Valuations?," Journal of Econometric Methods, De Gruyter, vol. 9(1), pages 1-19, January.
    125. Hanming Fang & Xun Tang, 2011. "Inference of Bidders’ Risk Attitudes in Ascending Auctions with Endogenous Entry, Second Version," PIER Working Paper Archive 12-016, Penn Institute for Economic Research, Department of Economics, University of Pennsylvania, revised 17 Apr 2012.
    126. Ridderstedt, Ivan & Nilsson, Jan-Eric, 2023. "Economies of scale versus the costs of bundling: Evidence from procurements of highway pavement replacement," Transportation Research Part A: Policy and Practice, Elsevier, vol. 173(C).
    127. Hu, Mantian & Xiao, Junji & Zheng, Bingyong, 2022. "The selection effect of quota rationing mechanisms on sales distribution: The convergence of auction and lottery," Journal of Economic Behavior & Organization, Elsevier, vol. 200(C), pages 803-819.
    128. John Asker & Chaim Fershtman & Jihye Jeon & Ariel Pakes, 2016. "The Competitive Effects of Information Sharing," NBER Working Papers 22836, National Bureau of Economic Research, Inc.
    129. Kevin Leyton-Brown & Paul Milgrom & Neil Newman & Ilya Segal, 2024. "Artificial Intelligence and Market Design: Lessons Learned from Radio Spectrum Reallocation," NBER Chapters, in: New Directions in Market Design, National Bureau of Economic Research, Inc.
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    131. Sağlam, Yiğit, 2012. "Structural Econometric Methods in Auctions: A Guide to the Literature," Working Paper Series 19224, Victoria University of Wellington, The New Zealand Institute for the Study of Competition and Regulation.
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    133. Gimenes, Nathalie & Guerre, Emmanuel, 2022. "Quantile regression methods for first-price auctions," Journal of Econometrics, Elsevier, vol. 226(2), pages 224-247.
    134. Rodrigo Carril & Andres Gonzalez-Lira & Michael S. Walker, 2022. "Competition under Incomplete Contracts and the Design of Procurement Policies," Working Papers 1327, Barcelona School of Economics.
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  72. Susan Athey & Ilya Segal, 2007. "Designing Efficient Mechanisms for Dynamic Bilateral Trading Games," Levine's Bibliography 321307000000000892, UCLA Department of Economics.

    Cited by:

    1. Krähmer, Daniel & Strausz, Roland, 2010. "Optimal Procurement Contracts with Pre–Project Planning," Discussion Paper Series of SFB/TR 15 Governance and the Efficiency of Economic Systems 303, Free University of Berlin, Humboldt University of Berlin, University of Bonn, University of Mannheim, University of Munich.
    2. Dirk Bergemann & Juuso V‰lim‰ki, 2010. "The Dynamic Pivot Mechanism," Econometrica, Econometric Society, vol. 78(2), pages 771-789, March.
    3. Garrett, Daniel F., 2023. "Ready to trade? On budget-balanced efficient trade with uncertain arrival," Games and Economic Behavior, Elsevier, vol. 138(C), pages 161-170.
    4. Aristotelis Boukouras & Kostas Koufopoulos, 2017. "Efficient allocations in economies with asymmetric information when the realized frequency of types is common knowledge," Economic Theory, Springer;Society for the Advancement of Economic Theory (SAET), vol. 64(1), pages 75-98, June.
    5. Said, Maher, 2012. "Auctions with dynamic populations: Efficiency and revenue maximization," Journal of Economic Theory, Elsevier, vol. 147(6), pages 2419-2438.
    6. Rahul Deb & Maher Said, 2013. "Dynamic Screening with Limited Commitment," Working Papers tecipa-485, University of Toronto, Department of Economics.
    7. Dirk Bergemann & Juuso Välimäki, 2007. "Dynamic Marginal Contribution Mechanism," Levine's Bibliography 843644000000000300, UCLA Department of Economics.
    8. Aristotelis Boukouras & Kostas Koufopoulos, 2015. "Efficient Allocations in Economies with Asymmetric Information when the Realized Frequency of Types is Common Knowledge," Discussion Papers in Economics 15/04, Division of Economics, School of Business, University of Leicester.
    9. Thomas D. Jeitschko & Pallavi Pal, 2021. "Curbing Price Fluctuations in Cap-and-Trade Auctions," CESifo Working Paper Series 9266, CESifo.
    10. Rohit Lamba, 2022. "Efficiency with(out) intermediation in repeated bilateral trade," Papers 2202.04201, arXiv.org.
    11. Rohit Lamba & Ilia Krasikov, 2017. "A Theory of Dynamic Contracting with Financial Constraints," 2017 Meeting Papers 1544, Society for Economic Dynamics.

  73. Susan Athey & Ilya Segal, 2007. "An Efficient Dynamic Mechanism," Levine's Bibliography 122247000000001134, UCLA Department of Economics.

    Cited by:

    1. Bianchi, Milo & Yamashita, Takuro, 2024. "Optimal Investment in Network Infrastructures," TSE Working Papers 1560, Toulouse School of Economics (TSE).
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    3. Susan Athey & Ilya Segal, 2007. "Designing Efficient Mechanisms for Dynamic Bilateral Trading Games," Levine's Bibliography 321307000000000892, UCLA Department of Economics.
    4. Francis Bloch & Simona Fabrizi & Steffen Lippert, 2011. "Learning and Collusion in New Markets with Uncertain Entry Costs," Working Papers 1112, University of Otago, Department of Economics, revised Dec 2011.
    5. Stéphane Auray & Thomas Mariotti & Fabien Moizeau, 2011. "Dynamic regulation of quality," RAND Journal of Economics, RAND Corporation, vol. 42(2), pages 246-265, June.
    6. He, Wei & Li, Jiangtao, 2016. "Efficient dynamic mechanisms with interdependent valuations," Games and Economic Behavior, Elsevier, vol. 97(C), pages 166-173.
    7. Mikhail Golosov & Vasiliki Skreta & Aleh Tsyvinski & Andrea Wilson, 2013. "Dynamic Strategic Information Transmission," Working Papers 13-03, New York University, Leonard N. Stern School of Business, Department of Economics.
    8. Hitoshi Matsushima & Shunya Noda, 2019. "Mechanism Design with General Ex-Ante Investments (Revised version of F415 )," CARF F-Series CARF-F-464, Center for Advanced Research in Finance, Faculty of Economics, The University of Tokyo.
    9. Pau S. Pujolas & Zachary L. Mahone, 2017. "Optimal Design and Quantitative Evaluation of the Minimum Wage," Department of Economics Working Papers 2017-15, McMaster University.
    10. Wang, Cheng, 1995. "Dynamic Insurance with Private Information and Balanced Budgets," Staff General Research Papers Archive 5249, Iowa State University, Department of Economics.
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    14. Tao Zhang & Quanyan Zhu, 2020. "Implementability of Honest Multi-Agent Sequential Decision-Making with Dynamic Population," Papers 2003.03173, arXiv.org, revised May 2020.
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    19. Krähmer, Daniel & Strausz, Roland, 2010. "Optimal Procurement Contracts with Pre–Project Planning," Discussion Paper Series of SFB/TR 15 Governance and the Efficiency of Economic Systems 303, Free University of Berlin, Humboldt University of Berlin, University of Bonn, University of Mannheim, University of Munich.
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    27. Garrett, Daniel F., 2023. "Ready to trade? On budget-balanced efficient trade with uncertain arrival," Games and Economic Behavior, Elsevier, vol. 138(C), pages 161-170.
    28. Su, Alice Peng-Ju, 2017. "Information revelation in the Property Right Theory of the firms," International Journal of Industrial Organization, Elsevier, vol. 52(C), pages 133-164.
    29. Aristotelis Boukouras & Kostas Koufopoulos, 2017. "Efficient allocations in economies with asymmetric information when the realized frequency of types is common knowledge," Economic Theory, Springer;Society for the Advancement of Economic Theory (SAET), vol. 64(1), pages 75-98, June.
    30. Guy Aridor & Yishay Mansour & Aleksandrs Slivkins & Zhiwei Steven Wu, 2020. "Competing Bandits: The Perils of Exploration Under Competition," Papers 2007.10144, arXiv.org, revised Oct 2024.
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    32. Hitoshi Matsushima & Shunya Noda, 2020. "Mechanism Design with Blockchain Enforcement," CARF F-Series CARF-F-474, Center for Advanced Research in Finance, Faculty of Economics, The University of Tokyo.
    33. Kiho Yoon, 2015. "On Budget Balance of the Dynamic Pivot Mechanism," Discussion Paper Series 1501, Institute of Economic Research, Korea University.
    34. Sham M. Kakade & Ilan Lobel & Hamid Nazerzadeh, 2013. "Optimal Dynamic Mechanism Design and the Virtual-Pivot Mechanism," Operations Research, INFORMS, vol. 61(4), pages 837-854, August.
    35. Kiho Yoon, 2020. "The uniqueness of dynamic Groves mechanisms on restricted domains," Papers 2006.14190, arXiv.org.
    36. Liu, Heng, 2018. "Efficient dynamic mechanisms in environments with interdependent valuations: the role of contingent transfers," Theoretical Economics, Econometric Society, vol. 13(2), May.
    37. Morimitsu Kurino, 2014. "House Allocation with Overlapping Generations," American Economic Journal: Microeconomics, American Economic Association, vol. 6(1), pages 258-289, February.
    38. Sambuddha Ghosh & Yan Long & Manipushpak Mitra, 2021. "Prior-free online mechanisms for queueing with arrivals," Economic Theory, Springer;Society for the Advancement of Economic Theory (SAET), vol. 72(2), pages 671-700, September.
    39. Tao Zhang & Quanyan Zhu, 2019. "On Incentive Compatibility in Dynamic Mechanism Design With Exit Option in a Markovian Environment," Papers 1909.13720, arXiv.org, revised May 2021.
    40. Babaioff, Moshe & Blumrosen, Liad & Roth, Aaron, 2015. "Auctions with online supply," Games and Economic Behavior, Elsevier, vol. 90(C), pages 227-246.
    41. Krishnamurthy Iyer & Ramesh Johari & Mukund Sundararajan, 2014. "Mean Field Equilibria of Dynamic Auctions with Learning," Management Science, INFORMS, vol. 60(12), pages 2949-2970, December.
    42. Dragos Florin Ciocan & Krishnamurthy Iyer, 2021. "Tractable Equilibria in Sponsored Search with Endogenous Budgets," Operations Research, INFORMS, vol. 69(1), pages 227-244, January.
    43. Penta, Antonio, 2015. "Robust dynamic implementation," Journal of Economic Theory, Elsevier, vol. 160(C), pages 280-316.
    44. Juntao Chen & Quanyan Zhu & Tamer Başar, 2021. "Dynamic Contract Design for Systemic Cyber Risk Management of Interdependent Enterprise Networks," Dynamic Games and Applications, Springer, vol. 11(2), pages 294-325, June.
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    46. Daley, Brendan & Schwarz, Michael & Sonin, Konstantin, 2012. "Efficient investment in a dynamic auction environment," Games and Economic Behavior, Elsevier, vol. 75(1), pages 104-119.
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    48. Gorkem Celik, 2015. "Implementation by Gradual Revelation," RAND Journal of Economics, RAND Corporation, vol. 46(2), pages 271-296, June.
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    50. Loertscher, Simon & Muir, Ellen V. & Taylor, Peter G., 2022. "Optimal market thickness," Journal of Economic Theory, Elsevier, vol. 200(C).
    51. Hamid Nazerzadeh & Amin Saberi & Rakesh Vohra, 2007. "Dynamic Cost-Per-Action Mechanisms and Applications to Online Advertising," Discussion Papers 1450, Northwestern University, Center for Mathematical Studies in Economics and Management Science.
    52. Aristotelis Boukouras & Kostas Koufopoulos, 2015. "Efficient Allocations in Economies with Asymmetric Information when the Realized Frequency of Types is Common Knowledge," Discussion Papers in Economics 15/04, Division of Economics, School of Business, University of Leicester.
    53. Mark Braverman & Sylvain Chassang, 2020. "Data-Driven Incentive Alignment in Capitation Schemes," Working Papers 2020-60, Princeton University. Economics Department..
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    2. Athey, Susan & Luca, Michael, 2018. "Economists (and Economics) in Tech Companies," Research Papers 3735, Stanford University, Graduate School of Business.
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    Cited by:

    1. Rohlfs, Chris & Sullivan, Ryan & Kniesner, Thomas J., 2013. "Hedonic Estimation under Very General Conditions Using Experimental and Quasi-Experimental Designs," IZA Discussion Papers 7554, Institute of Labor Economics (IZA).
    2. Steven T. Berry & Philip Haile, 2015. "Identification in Differentiated Products Markets," NBER Working Papers 21500, National Bureau of Economic Research, Inc.
    3. Okwelum, Edson, 2015. "Consumer Heterogeneity and Gasoline Price Response: Implications for Optimal Tax policy," 2015 AAEA & WAEA Joint Annual Meeting, July 26-28, San Francisco, California 205897, Agricultural and Applied Economics Association.
    4. Steven T. Berry & Philip A. Haile, 2014. "Identification in Differentiated Products Markets Using Market Level Data," Econometrica, Econometric Society, vol. 82(5), pages 1749-1797, September.
    5. Christopher T. Conlon & Julie Holland Mortimer, 2010. "Demand Estimation Under Incomplete Product Availability," Boston College Working Papers in Economics 799, Boston College Department of Economics, revised 07 Aug 2012.
    6. Rob Donnelly & Francisco R. Ruiz & David Blei & Susan Athey, 2019. "Counterfactual Inference for Consumer Choice Across Many Product Categories," Papers 1906.02635, arXiv.org, revised Aug 2023.
    7. Steven T. Berry & Philip A. Haile, 2009. "Nonparametric Identification of Multinomial Choice Demand Models with Heterogeneous Consumers," NBER Working Papers 15276, National Bureau of Economic Research, Inc.
    8. Haoge Chang & Yusuke Narita & Kota Saito, 2022. "Approximating Choice Data by Discrete Choice Models," Papers 2205.01882, arXiv.org, revised Dec 2023.
    9. Martin Burda & Matthew C. Harding & Jerry Hausman, 2008. "A Bayesian mixed logit-probit model for multinomial choice," CeMMAP working papers CWP23/08, Centre for Microdata Methods and Practice, Institute for Fiscal Studies.
    10. Eriksen, Michael D. & Kniesner, Thomas J. & Rohlfs, Chris & Sullivan, Ryan, 2016. "Toward more general hedonic estimation: Clarifying the roles of alternative experimental designs with an application to a housing attribute," Regional Science and Urban Economics, Elsevier, vol. 57(C), pages 54-62.
    11. Eric Gautier & Yuichi Kitamura, 2009. "Nonparametric Estimation in Random Coefficients Binary Choice Models," Cowles Foundation Discussion Papers 1721, Cowles Foundation for Research in Economics, Yale University.
    12. Ian McCarthy & Rusty Tchernis, 2008. "Search Costs and Medicare Plan Choice," CAEPR Working Papers 2008-004, Center for Applied Economics and Policy Research, Department of Economics, Indiana University Bloomington.
    13. Jun, Sung Jae & Pinkse, Joris, 2020. "Counterfactual prediction in complete information games: Point prediction under partial identification," Journal of Econometrics, Elsevier, vol. 216(2), pages 394-429.
    14. Anindya Ghose & Panagiotis G. Ipeirotis & Beibei Li, 2012. "Designing Ranking Systems for Hotels on Travel Search Engines by Mining User-Generated and Crowdsourced Content," Marketing Science, INFORMS, vol. 31(3), pages 493-520, May.

  76. Susan Athey & Philip A. Haile, 2006. "Empirical Models of Auctions," Levine's Bibliography 122247000000001045, UCLA Department of Economics.

    Cited by:

    1. Philippe Jehiel, 2011. "Manipulative Auction Design," PSE-Ecole d'économie de Paris (Postprint) halshs-00754541, HAL.
    2. Armantier, Olivier & Ghysels, Eric & Sarkar, Asani & Shrader, Jeffrey, 2015. "Discount window stigma during the 2007–2008 financial crisis," Journal of Financial Economics, Elsevier, vol. 118(2), pages 317-335.
    3. Liran Einav & Jonathan Levin, 2010. "Empirical Industrial Organization: A Progress Report," Journal of Economic Perspectives, American Economic Association, vol. 24(2), pages 145-162, Spring.
    4. Philip A. Haile & Yuichi Kitamura, 2018. "Unobserved Heterogeneity in Auctions," Cowles Foundation Discussion Papers 2141, Cowles Foundation for Research in Economics, Yale University.
    5. Gian Luigi Albano & Federico Dini & Roberto Zampino, 2008. "Bidding for Complex Projects: Evidence From the Acquisitions of IT Services," Working Papers 2008.86, Fondazione Eni Enrico Mattei.
    6. Sang Won Kim & Marcelo Olivares & Gabriel Y. Weintraub, 2014. "Measuring the Performance of Large-Scale Combinatorial Auctions: A Structural Estimation Approach," Management Science, INFORMS, vol. 60(5), pages 1180-1201, May.
    7. Cristián Hernández & Daniel Quint & Christopher Turansick, 2020. "Estimation in English auctions with unobserved heterogeneity," RAND Journal of Economics, RAND Corporation, vol. 51(3), pages 868-904, September.
    8. Veronika Grimm, 2007. "Paarsch, H. J., and Hong, H.: An Introduction to the Structural Econometrics of Auction Data," Journal of Economics, Springer, vol. 92(2), pages 205-208, October.
    9. Wenchuan Liu & Yu Zhang & Qi Li, 2015. "A semiparametric varying coefficient model of monotone auction bidding processes," Empirical Economics, Springer, vol. 48(1), pages 313-335, February.
    10. Sweeting, Andrew & Bhattacharya, Vivek, 2015. "Selective entry and auction design," International Journal of Industrial Organization, Elsevier, vol. 43(C), pages 189-207.
    11. Bierens, Herman J. & Song, Hosin, 2012. "Semi-nonparametric estimation of independently and identically repeated first-price auctions via an integrated simulated moments method," Journal of Econometrics, Elsevier, vol. 168(1), pages 108-119.
    12. Jehiel, Philippe & Moldovanu, Benny, 2005. "Allocative and Informational Externalities in Auctions and Related Mechanisms," Discussion Paper Series of SFB/TR 15 Governance and the Efficiency of Economic Systems 142, Free University of Berlin, Humboldt University of Berlin, University of Bonn, University of Mannheim, University of Munich.
    13. Song, Zirui & Landrum, Mary Beth & Chernew, Michael E., 2013. "Competitive bidding in Medicare Advantage: Effect of benchmark changes on plan bids," Journal of Health Economics, Elsevier, vol. 32(6), pages 1301-1312.
    14. Quang Vuong & Ayse Pehlivan, 2016. "Nonparametric Identification and Estimation of Productivity Distributions and Trade Costs," 2016 Meeting Papers 1618, Society for Economic Dynamics.
    15. Committee, Nobel Prize, 2020. "Improvements to auction theory and inventions of new auction formats," Nobel Prize in Economics documents 2020-2, Nobel Prize Committee.
    16. Ivaldi, Marc & Motis, Jrissy, 2007. "Mergers as Auctions," IDEI Working Papers 461, Institut d'Économie Industrielle (IDEI), Toulouse.
    17. Marcelo Olivares & Gabriel Y. Weintraub & Rafael Epstein & Daniel Yung, 2012. "Combinatorial Auctions for Procurement: An Empirical Study of the Chilean School Meals Auction," Management Science, INFORMS, vol. 58(8), pages 1458-1481, August.
    18. Blancas, Luis & Chioda, Laura & Cordella, Tito & Oliveira, Alexandre & Vardy, Felix, 2011. "Do procurement rules impact infrastructure investment efficiency ? an empirical analysis of inversao das fases in Sao Paulo state," Policy Research Working Paper Series 5528, The World Bank.
    19. Gabrielli, M. Florencia & Willington, Manuel, 2023. "Estimating damages from bidding rings in first-price auctions," Economic Modelling, Elsevier, vol. 126(C).
    20. Charles A. Holt & William Shobe & Dallas Burtraw & Karen Palmer & Jacob K. Goeree, 2007. "Auction Design for Selling CO2 Emission Allowances Under the Regional Greenhouse Gas Initiative," Reports 2007-03, Center for Economic and Policy Studies.
    21. Simona Bigerna & Carlo Andrea Bollino & Maria Chiara D’Errico & Paolo Polinori, 2023. "A new design for market power monitoring in the electricity market. A simulation for Italy," Economia Politica: Journal of Analytical and Institutional Economics, Springer;Fondazione Edison, vol. 40(1), pages 285-317, April.
    22. Bosco, Bruno & Parisio, Lucia & Pelagatti, Matteo, 2012. "Strategic bidding in vertically integrated power markets with an application to the Italian electricity auctions," Energy Economics, Elsevier, vol. 34(6), pages 2046-2057.
    23. Albano, Gian Luigi & Dini, Federico & Zampino, Roberto, 2008. "Bidding for Complex Projects: Evidence From the Acquisitions of IT Services," Privatisation Regulation Corporate Governance Working Papers 46547, Fondazione Eni Enrico Mattei (FEEM).
    24. Maria Chiara D?Errico, 2020. "Competition in the Italian electricity market: The unforeseen social welfare losses of reform," ECONOMICS AND POLICY OF ENERGY AND THE ENVIRONMENT, FrancoAngeli Editore, vol. 2020(2), pages 75-91.
    25. Bigerna, Simona & Bollino, Carlo Andrea & D'Errico, Maria Chiara & Polinori, Paolo, 2017. "The Ideal Competitive Electricity Market. A simulation for Italy," MPRA Paper 94893, University Library of Munich, Germany.

  77. Susan Athey & David Miller, 2006. "Efficiency in Repeated Trade with Hidden Valuations," Levine's Bibliography 784828000000000256, UCLA Department of Economics.

    Cited by:

    1. Drexl, Moritz & Kleiner, Andreas, 2013. "Preference Intensities in Repeated Collective Decision-Making," VfS Annual Conference 2013 (Duesseldorf): Competition Policy and Regulation in a Global Economic Order 79832, Verein für Socialpolitik / German Economic Association.
    2. Eilat, Ran & Paunzer, Ady, 2008. "Optimal Bilateral Trade of Multiple Objects," Foerder Institute for Economic Research Working Papers 275716, Tel-Aviv University > Foerder Institute for Economic Research.
    3. Drexl, Moritz & Kleiner, Andreas, 2015. "Optimal private good allocation: The case for a balanced budget," Games and Economic Behavior, Elsevier, vol. 94(C), pages 169-181.
    4. Conan Mukherjee, 2020. "On group strategyproof and optimal object allocation," Economic Theory Bulletin, Springer;Society for the Advancement of Economic Theory (SAET), vol. 8(2), pages 289-304, October.
    5. Garrett, Daniel F., 2023. "Ready to trade? On budget-balanced efficient trade with uncertain arrival," Games and Economic Behavior, Elsevier, vol. 138(C), pages 161-170.
    6. Geoffroy de Clippel & Kfir Eliaz & Daniel Fershtman & Kareen Rozen, 2019. "On Selecting the Right Agent," CRC TR 224 Discussion Paper Series crctr224_2019_116, University of Bonn and University of Mannheim, Germany.
    7. Liu, Heng, 2018. "Efficient dynamic mechanisms in environments with interdependent valuations: the role of contingent transfers," Theoretical Economics, Econometric Society, vol. 13(2), May.
    8. Susan Athey & Ilya Segal, 2013. "An Efficient Dynamic Mechanism," Econometrica, Econometric Society, vol. 81(6), pages 2463-2485, November.
    9. Loertscher, Simon & Muir, Ellen V. & Taylor, Peter G., 2022. "Optimal market thickness," Journal of Economic Theory, Elsevier, vol. 200(C).
    10. Olszewski, Wojciech & Safronov, Mikhail, 2018. "Efficient cooperation by exchanging favors," Theoretical Economics, Econometric Society, vol. 13(3), September.
    11. Alberto Martin & Wouter Vergote, 2005. "On the role of retaliation in trade agreements," Economics Working Papers 914, Department of Economics and Business, Universitat Pompeu Fabra, revised Apr 2008.
    12. Andrzej Skrzypacz & Juuso Toikka, 2015. "Mechanisms for Repeated Trade," American Economic Journal: Microeconomics, American Economic Association, vol. 7(4), pages 252-293, November.
    13. Eilat, Ran & Pauzner, Ady, 2011. "Optimal bilateral trade of multiple objects," Games and Economic Behavior, Elsevier, vol. 71(2), pages 503-512, March.
    14. Chan, Jimmy & Zhang, Wenzhang, 2015. "Collusion enforcement with private information and private monitoring," Journal of Economic Theory, Elsevier, vol. 157(C), pages 188-211.
    15. Leo, Greg, 2017. "Taking turns," Games and Economic Behavior, Elsevier, vol. 102(C), pages 525-547.
    16. Rohit Lamba, 2022. "Efficiency with(out) intermediation in repeated bilateral trade," Papers 2202.04201, arXiv.org.
    17. Rohit Lamba & Ilia Krasikov, 2017. "A Theory of Dynamic Contracting with Financial Constraints," 2017 Meeting Papers 1544, Society for Economic Dynamics.

  78. Athey, Susan & Atkeson, Andrew & Kehoe, Patrick J., 2004. "The optimal degree of discretion in monetary policy," Working Paper Series 338, European Central Bank.

    Cited by:

    1. Westerhout, Ed, 2021. "Inflation-Linked Bonds, Nominal Bonds, and Countercyclical Monetary Policies," Discussion Paper 2021-001, Tilburg University, Center for Economic Research.
    2. Kyle Bagwell, 2009. "Self-Enforcing Trade Agreements and Private Information," NBER Working Papers 14812, National Bureau of Economic Research, Inc.
    3. Waki, Yuichiro & Dennis, Richard & Fujiwara, Ippei, 2015. "The Optimal Degree of Monetary-Discretion in a New Keynesian Model with Private Information," SIRE Discussion Papers 2015-66, Scottish Institute for Research in Economics (SIRE).
    4. Leonardo Felli & Alessandro Riboni & Luca Anderlini, 2007. "Statute Law or Case Law?," 2007 Meeting Papers 952, Society for Economic Dynamics.
    5. Marina Halac & Pierre Yared, 2015. "Fiscal Rules and Discretion in a World Economy," NBER Working Papers 21492, National Bureau of Economic Research, Inc.
    6. Eduardo Monteiro & Humberto Moreira, 2006. "Effciency In Two Player Repeated Games Of Imperfect Monitoring," Anais do XXXIV Encontro Nacional de Economia [Proceedings of the 34th Brazilian Economics Meeting] 113, ANPEC - Associação Nacional dos Centros de Pós-Graduação em Economia [Brazilian Association of Graduate Programs in Economics].
    7. Christian A. Moser & Pierre Yared, 2020. "Pandemic Lockdown: The Role of Government Commitment," NBER Working Papers 27062, National Bureau of Economic Research, Inc.
    8. Gino Cateau & Malik Shukayev, 2018. "Limited Commitment, Endogenous Credibility and the Challenges of Price-level Targeting," Staff Working Papers 18-61, Bank of Canada.
    9. Balbus, Łukasz & Reffett, Kevin & Woźny, Łukasz, 2013. "A constructive geometrical approach to the uniqueness of Markov stationary equilibrium in stochastic games of intergenerational altruism," Journal of Economic Dynamics and Control, Elsevier, vol. 37(5), pages 1019-1039.
    10. Carl Walsh, 2015. "Goals and Rules in Central Bank Design," CESifo Working Paper Series 5293, CESifo.
    11. Radoslaw Paluszynski & Pei Cheng Yu, 2023. "Commitment versus Flexibility and Sticky Prices: Evidence from Life Insurance," Review of Economic Dynamics, Elsevier for the Society for Economic Dynamics, vol. 49, pages 99-122, July.
    12. Itskhoki, Oleg & Mukhin, Dmitry, 2022. "Sanctions and the exchange rate," LSE Research Online Documents on Economics 115564, London School of Economics and Political Science, LSE Library.
    13. Yusuke Kinai, 2011. "Optimal Degree of Commitment in a Tax Policy," Discussion Papers in Economics and Business 11-11, Osaka University, Graduate School of Economics.
    14. FUJIWARA Ippei & WAKI Yuichiro, 2016. "Private News and Monetary Policy: Forward guidance or the expected virtue of ignorance," Discussion papers 16027, Research Institute of Economy, Trade and Industry (RIETI).
    15. George J. Mailath & Volker Nocke & Lucy White, 2015. "When and How the Punishment Must Fit the Crime," CESifo Working Paper Series 5225, CESifo.
    16. Frederic S. Mishkin & Niklas J. Westelius, 2008. "Inflation Band Targeting and Optimal Inflation Contracts," Journal of Money, Credit and Banking, Blackwell Publishing, vol. 40(4), pages 557-582, June.
    17. Grégory Levieuge & Yannick Lucotte & Florian Pradines-Jobet, 2019. "The Cost of Banking Crises: Does the Policy Framework Matter?," Working papers 712, Banque de France.
    18. Francesco Salsano, 2005. "Monetary Policy in the Presence Of Imperfect Observability Of The Objectives Of Central Bankers," Birkbeck Working Papers in Economics and Finance 0523, Birkbeck, Department of Economics, Mathematics & Statistics.
    19. Patrick Kehoe & Varadarajan V. Chari, 2006. "Modern Macroeconomics in Practice: How Theory is Shaping Policy," NBER Working Papers 12476, National Bureau of Economic Research, Inc.
    20. Lena Cleanthous, 2020. "Conceptual note on inflation targeting types and their performance in anchoring inflation expectations," Working Papers 2020-01, Central Bank of Cyprus.
    21. Niklas J. Westelius, 2008. "Inflation Range Targets with Hard Edges," Economics Working Paper Archive at Hunter College 423, Hunter College Department of Economics.
    22. Montagnes, B. Pablo & Wolton, Stephane, 2015. "Rule Versus Discretion: Regulatory Uncertainty, Firm Investment, and the Ally Principle," MPRA Paper 65047, University Library of Munich, Germany.
    23. Halac, Marina & Yared, Pierre, 2012. "Fiscal Rules and Discretion under Persistent Shocks," Economic Research Papers 270535, University of Warwick - Department of Economics.
    24. Alex Clymo & Andrea Lanteri & Alessandro Villa, 2023. "Online Appendix to "Capital and Labor Taxes with Costly State Contingency"," Online Appendices 22-20, Review of Economic Dynamics.
    25. Nakata, Taisuke, 2016. "Optimal fiscal and monetary policy with occasionally binding zero bound constraints," Journal of Economic Dynamics and Control, Elsevier, vol. 73(C), pages 220-240.
    26. Marina Halac & Pierre Yared, 2017. "Fiscal Rules and Discretion under Self-Enforcement," NBER Working Papers 23919, National Bureau of Economic Research, Inc.
    27. Ran Spiegler, 2021. "On the Behavioral Consequences of Reverse Causality," Papers 2110.12218, arXiv.org.
    28. Christian Moser & Pedro Olea de Souza e Silva, 2019. "Optimal Paternalistic Savings Policies," Opportunity and Inclusive Growth Institute Working Papers 17, Federal Reserve Bank of Minneapolis.
    29. Philip Arestis & Alexander Mihailov, 2008. "Classifying Monetary Economics: Fields and Methods from Past to Future," Economics Discussion Papers em-dp2008-64, Department of Economics, University of Reading.
    30. Octavia Foarta, 2016. "Politically Feasible Public Bailouts," 2016 Meeting Papers 1479, Society for Economic Dynamics.
    31. Westerhout, Ed, 2021. "Inflation-Linked Bonds, Nominal Bonds, and Countercyclical Monetary Policies," Other publications TiSEM ee384b1f-4e6f-4f30-821e-d, Tilburg University, School of Economics and Management.
    32. Vinicius Carrasco & João Mello, 2010. "Repeated lending under contractual incompleteness," Annals of Finance, Springer, vol. 6(1), pages 51-82, January.
    33. Galperti, Simone, 2019. "A theory of personal budgeting," Theoretical Economics, Econometric Society, vol. 14(1), January.
    34. Sleet, Christopher & Yeltekin, Sevin, 2006. "Optimal taxation with endogenously incomplete debt markets," Journal of Economic Theory, Elsevier, vol. 127(1), pages 36-73, March.
    35. Marina Halac & Pierre Yared, 2022. "Instrument-Based versus Target-Based Rules," The Review of Economic Studies, Review of Economic Studies Ltd, vol. 89(1), pages 312-345.
    36. Alan S. Blinder & Ricardo Reis, 2005. "Understanding the Greenspan Standard," Working Papers 88, Princeton University, Department of Economics, Center for Economic Policy Studies..
    37. Gupta, Poonam & Eichengreen, Barry & Choudhary, Rishabh, 2021. "Inflation Targeting in India : An Interim Assessment," MPRA Paper 112656, University Library of Munich, Germany.
    38. Bassetto, Marco, 2019. "Forward guidance: Communication, commitment, or both?," Journal of Monetary Economics, Elsevier, vol. 108(C), pages 69-86.
    39. P Arestis & A Mihailov, 2009. "Flexible Rules cum Constrained Discretion: A New Consensus in Monetary Policy," Economic Issues Journal Articles, Economic Issues, vol. 14(2), pages 27-54, September.
    40. Ricardo Reis, 2011. "When Should Policymakers Make Announcements?," 2011 Meeting Papers 122, Society for Economic Dynamics.
    41. B. Onur Tas, 2012. "Why does the Federal Reserve Forecast Inflation Better than Everyone Else?," Working Papers 1207, TOBB University of Economics and Technology, Department of Economics.
    42. Facundo Albornoz & Joan-Maria Esteban & Paolo Vanin, 2009. "Government Information Transparency," Working Papers 392, Barcelona School of Economics.
    43. Zachary Bethune & Guillaume Rocheteau & Tsz-Nga Wong & Cathy Zhang, 2022. "Lending Relationships and Optimal Monetary Policy," The Review of Economic Studies, Review of Economic Studies Ltd, vol. 89(4), pages 1833-1872.
    44. Thorsten V. Koeppl, 2009. "How Flexible Can Inflation Targeting Be? Suggestions for the Future of Canada's Targeting Regime," C.D. Howe Institute Commentary, C.D. Howe Institute, issue 293, August.
    45. Alberto Locarno, 2007. "Imperfect Knowledge, Adaptive Learning, and the Bias Against Activist Monetary Policies," International Journal of Central Banking, International Journal of Central Banking, vol. 3(3), pages 47-85, September.
    46. Laurence Ales & Pricila Maziero & Pierre Yared, 2012. "A Theory of Political and Economic Cycles," NBER Working Papers 18354, National Bureau of Economic Research, Inc.
    47. Clayton, Christopher & Dos Santos, Amanda & Maggiori, Matteo & Schreger, Jesse, 2023. "Internationalizing Like China," CEPR Discussion Papers 17781, C.E.P.R. Discussion Papers.
    48. L’Huillier, Jean-Paul & Zame, William R., 2022. "Optimally sticky prices: Foundations," Journal of Economic Dynamics and Control, Elsevier, vol. 141(C).
    49. Niklas Potrafke, 2023. "The Economic Consequences of Fiscal Rules," CESifo Working Paper Series 10765, CESifo.
    50. Halac, Marina & Yared, Pierre, 2018. "Commitment vs. Flexibility with Costly Verification," CEPR Discussion Papers 12572, C.E.P.R. Discussion Papers.
    51. Linda S. Goldberg & Michael W. Klein, 2005. "Establishing Credibility: Evolving Perceptions of the European Central Bank," The Institute for International Integration Studies Discussion Paper Series iiisdp105, IIIS.
    52. Marcello D'Amato, 2004. "Commitment of Monetary Policy with Uncertain Central Bank Preferences," CSEF Working Papers 117, Centre for Studies in Economics and Finance (CSEF), University of Naples, Italy.
    53. Pierre-Edouard Collignon, 2021. "No Regret Fiscal Reforms," Working Papers 2021-20, Center for Research in Economics and Statistics.
    54. Marina Halac & Pierre Yared, 2022. "Fiscal Rules and Discretion Under Limited Enforcement," Econometrica, Econometric Society, vol. 90(5), pages 2093-2127, September.
    55. Ippei Fujiwara & Timothy Kam & Takeki Sunakawa, 2015. "Sustainable international monetary policy cooperation," Globalization Institute Working Papers 234, Federal Reserve Bank of Dallas.
    56. Nakamura, Emi & Steinsson, Jón, 2011. "Price setting in forward-looking customer markets," Journal of Monetary Economics, Elsevier, vol. 58(3), pages 220-233.
    57. Giuseppe Moscarini, 2007. "Competence Implies Credibility," American Economic Review, American Economic Association, vol. 97(1), pages 37-63, March.
    58. Bedri Kamil Onur Taş, 2016. "Does the Federal Reserve have Private Information about its Future Actions?," Economica, London School of Economics and Political Science, vol. 83(331), pages 498-517, July.
    59. Linda S. Goldberg & Michael W. Klein, 2010. "Evolving Perceptions of Central Bank Credibility: The European Central Bank Experience," NBER Chapters, in: NBER International Seminar on Macroeconomics 2010, pages 153-182, National Bureau of Economic Research, Inc.
    60. Halac, Marina & Yared, Pierre, 2018. "Instrument-Based vs. Target-Based Rules," CEPR Discussion Papers 12872, C.E.P.R. Discussion Papers.
    61. William (Bill) Zame & Jean-Paul L'Huillier, 2015. "Optimally Sticky Prices," 2015 Meeting Papers 621, Society for Economic Dynamics.
    62. Howell, William & Shepsle, Kenneth & Wolton, Stephane, 2020. "Executive Absolutism: A Model," MPRA Paper 98221, University Library of Munich, Germany.
    63. Frankel, Alexander, 2016. "Discounted quotas," Journal of Economic Theory, Elsevier, vol. 166(C), pages 396-444.
    64. Clymo, Alex & Lanteri, Andrea & Villa, Alessandro, 2022. "Capital and Labor Taxes with Costly State Contingency," CEPR Discussion Papers 16616, C.E.P.R. Discussion Papers.
    65. Anderson Schneider & Facundo Piguillem, 2009. "Heterogeneous Beliefs and Optimal Taxation," 2009 Meeting Papers 826, Society for Economic Dynamics.
    66. Borys Grochulski, 2008. "Limits to redistribution and intertemporal wedges : implications of Pareto optimality with private information," Economic Quarterly, Federal Reserve Bank of Richmond, vol. 94(Spr), pages 173-196.
    67. Turdaliev, Nurlan, 2010. "Communication in repeated monetary policy games," International Review of Economics & Finance, Elsevier, vol. 19(2), pages 228-243, April.
    68. Krishna, R. Vijay & Leukhina, Oksana, 2019. "On the benefits of currency reform," Journal of Economic Dynamics and Control, Elsevier, vol. 102(C), pages 81-95.
    69. Amador, Manuel & Bagwell, Kyle, 2020. "Money burning in the theory of delegation," Games and Economic Behavior, Elsevier, vol. 121(C), pages 382-412.
    70. Susan Athey & David Miller, 2006. "Efficiency in Repeated Trade with Hidden Valuations," Levine's Bibliography 784828000000000256, UCLA Department of Economics.
    71. Tas, Bedri Kamil Onur, 2011. "An explanation for the price puzzle: Asymmetric information and expectation dynamics," Journal of Macroeconomics, Elsevier, vol. 33(2), pages 259-275, June.
    72. Dieter Nautz & Juliane Scharff, 2012. "Inflation and relative price variability in the euro area: evidence from a panel threshold model," Applied Economics, Taylor & Francis Journals, vol. 44(4), pages 449-460, February.
    73. Montagnes, B. Pablo & Wolton, Stephane, 2017. "Rule versus discretion: regulatory uncertainty, firm investment, and bureaucratic organization," LSE Research Online Documents on Economics 67075, London School of Economics and Political Science, LSE Library.
    74. Josef Schroth, 2013. "Fiscal policy coordination in monetary unions," 2013 Meeting Papers 74, Society for Economic Dynamics.
    75. Ali Yurukoglu & Claire Lim, 2014. "Dynamic Natural Monopoly Regulation: Time Inconsistency, Asymmetric Information, and Political Environments," 2014 Meeting Papers 530, Society for Economic Dynamics.
    76. Clayton, Christopher & Schaab, Andreas, 2022. "A Theory of Dynamic Inflation Targets," TSE Working Papers 22-1389, Toulouse School of Economics (TSE).
    77. Mark Gradstein, 2022. "Government Bailout Funds: Balancing Rules and Discretion," Journal of Money, Credit and Banking, Blackwell Publishing, vol. 54(1), pages 333-342, February.
    78. Tangerås, Thomas & Gick, Wolfgang, 2021. "Contracting with Endogenously Incomplete Commitment: Escape Clauses," Working Paper Series 1390, Research Institute of Industrial Economics.
    79. Vincent Anesi & Daniel J. Seidmann, 2009. "Optimal Delegation with a Finite Number of States," Discussion Papers 2009-20, The Centre for Decision Research and Experimental Economics, School of Economics, University of Nottingham.
    80. Josef Schroth, 2015. "Risk Sharing in the Presence of a Public Good," Staff Working Papers 15-27, Bank of Canada.
    81. Alexander Mihailov, 2007. "Does Instrument Independence Matter under the Constrained Discretionof an Inflation Targeting Goal? Lessons from UK Taylor Rule Empirics," Money Macro and Finance (MMF) Research Group Conference 2006 95, Money Macro and Finance Research Group.
    82. Vinicius Carrasco & João Manoel Pinho de Mello, 2006. "A relational theory of relationship lending under contractual incompleteness," Textos para discussão 520, Department of Economics PUC-Rio (Brazil), revised Jan 2000.
    83. Christian Moser & Pierre Yared, 2021. "Online Appendix to "Pandemic Lockdown: The Role of Government Commitment"," Online Appendices 20-442, Review of Economic Dynamics.
    84. Dulleck, Uwe & Wigger, Berthold U., 2015. "Politicians as experts, electoral control, and fiscal restraints," Journal of Public Economics, Elsevier, vol. 121(C), pages 106-116.

  79. Susan Athey & Kyle Bagwell, 2004. "Collusion with Persistent Cost Shocks," Levine's Bibliography 122247000000000334, UCLA Department of Economics.

    Cited by:

    1. Kyle Bagwell, 2009. "Self-Enforcing Trade Agreements and Private Information," NBER Working Papers 14812, National Bureau of Economic Research, Inc.
    2. James Malcomson, 2015. "Relational Incentive Contracts with Persistent Private Information," CESifo Working Paper Series 5462, CESifo.
    3. Fudenberg, Drew & Yamamoto, Yuichi, 2011. "The Folk Theorem for Irreducible Stochastic Games with Imperfect Public Monitoring," Scholarly Articles 8896226, Harvard University Department of Economics.
    4. Kyle Bagwell, 2004. "Collusion and Price Rigidity," Theory workshop papers 658612000000000081, UCLA Department of Economics.
    5. Escobar, Juan F. & Llanes, Gastón, 2018. "Cooperation dynamics in repeated games of adverse selection," Journal of Economic Theory, Elsevier, vol. 176(C), pages 408-443.
    6. Dan Bernhardt & Bart Taub, 2015. "Learning about common and private values in oligopoly," RAND Journal of Economics, RAND Corporation, vol. 46(1), pages 66-85, March.
    7. Doval, Laura & Skreta, Vasiliki, 2024. "Optimal mechanism for the sale of a durable good," Theoretical Economics, Econometric Society, vol. 19(2), May.
    8. Mikhail Golosov & Vasiliki Skreta & Aleh Tsyvinski & Andrea Wilson, 2013. "Dynamic Strategic Information Transmission," Working Papers 13-03, New York University, Leonard N. Stern School of Business, Department of Economics.
    9. Julio B. Clempner & Alexander S. Poznyak, 2021. "Analytical Method for Mechanism Design in Partially Observable Markov Games," Mathematics, MDPI, vol. 9(4), pages 1-15, February.
    10. Duan, Yongrui & Liu, Tonghui & Mao, Zhixin, 2022. "How online reviews and coupons affect sales and pricing: An empirical study based on e-commerce platform," Journal of Retailing and Consumer Services, Elsevier, vol. 65(C).
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    36. James Malcomson, 2010. "Relational Incentive Contracts," Economics Series Working Papers 508, University of Oxford, Department of Economics.
    37. Gea Myoung Lee, 2011. "Optimal International Agreement and Treatment of Domestic Subsidy," Working Papers 01-2011, Singapore Management University, School of Economics.
    38. Andreoli-Versbach, Patrick & Franck, Jens-Uwe, 2015. "Endogenous price commitment, sticky and leadership pricing: Evidence from the Italian petrol market," International Journal of Industrial Organization, Elsevier, vol. 40(C), pages 32-48.
    39. Johannes Hörner & Dinah Rosenberg & Eilon Solan & Nicolas Vieille, 2010. "On a Markov Game with One-Sided Information," Operations Research, INFORMS, vol. 58(4-part-2), pages 1107-1115, August.
    40. Sau-Him Lau & Vai-Lam Mui, 2012. "Using turn taking to achieve intertemporal cooperation and symmetry in infinitely repeated 2 × 2 games," Theory and Decision, Springer, vol. 72(2), pages 167-188, February.
    41. Juan M. Ortner & Sylvain Chassang & Kei Kawai & Jun Nakabayashi, 2022. "Screening Adaptive Cartels," NBER Working Papers 30219, National Bureau of Economic Research, Inc.
    42. Yuichi Yamamoto, 2014. "Stochastic Games with Hidden States, Fifth version," PIER Working Paper Archive 18-028, Penn Institute for Economic Research, Department of Economics, University of Pennsylvania, revised 19 May 2018.
    43. Danial Asmat, 2021. "Collusion Along the Learning Curve: Theory and Evidence From the Semiconductor Industry," Journal of Industrial Economics, Wiley Blackwell, vol. 69(1), pages 83-108, March.
    44. David Spector, 2022. "Cheap Talk, Monitoring and Collusion," Post-Print halshs-03760756, HAL.
    45. Garrod, Luke & Olczak, Matthew, 2018. "Explicit vs tacit collusion: The effects of firm numbers and asymmetries," International Journal of Industrial Organization, Elsevier, vol. 56(C), pages 1-25.
    46. Susan Athey & Ilya Segal, 2013. "An Efficient Dynamic Mechanism," Econometrica, Econometric Society, vol. 81(6), pages 2463-2485, November.
    47. Rachmilevitch, Shiran, 2014. "First-best collusion without communication," Games and Economic Behavior, Elsevier, vol. 83(C), pages 224-230.
    48. Renault, Jérôme & Solan, Eilon & Vieille, Nicolas, 2017. "Optimal dynamic information provision," Games and Economic Behavior, Elsevier, vol. 104(C), pages 329-349.
    49. Luís Cabral, 2005. "Collusion Theory: Where to Go Next?," Journal of Industry, Competition and Trade, Springer, vol. 5(3), pages 199-206, December.
    50. Nakamura, Emi & Steinsson, Jón, 2011. "Price setting in forward-looking customer markets," Journal of Monetary Economics, Elsevier, vol. 58(3), pages 220-233.
    51. Xiaoquan (Michael) Zhang & Juan Feng, 2011. "Cyclical Bid Adjustments in Search-Engine Advertising," Management Science, INFORMS, vol. 57(9), pages 1703-1719, February.
    52. Yuichi Yamamoto, 2014. "We Can Cooperate Even When the Monitoring Structure Will Never Be Known," PIER Working Paper Archive 17-011, Penn Institute for Economic Research, Department of Economics, University of Pennsylvania, revised 08 Apr 2017.
    53. Che, Yeon-Koo & Condorelli, Daniele & Kim, Jinwoo, 2018. "Weak cartels and collusion-proof auctions," Journal of Economic Theory, Elsevier, vol. 178(C), pages 398-435.
    54. David Spector, 2020. "Cheap talk, monitoring and collusion," PSE Working Papers halshs-01983037, HAL.
    55. Ilan Kremer & Zvi Wiener & Eyal Winter, 2017. "Flow auctions," International Journal of Game Theory, Springer;Game Theory Society, vol. 46(3), pages 655-665, August.
    56. Rachmilevitch, Shiran, "undated". "Bribing in second-price auctions," Working Papers WP2011/7, University of Haifa, Department of Economics.
    57. Łukasz Balbus & Kevin Reffett & Łukasz Woźny, 2013. "Markov Stationary Equilibria in Stochastic Supermodular Games with Imperfect Private and Public Information," Dynamic Games and Applications, Springer, vol. 3(2), pages 187-206, June.
    58. Jorge Alé‐Chilet & Juan Pablo Atal, 2020. "Trade associations and collusion among many agents: evidence from physicians," RAND Journal of Economics, RAND Corporation, vol. 51(4), pages 1197-1221, December.
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    61. David Spector, 2022. "Cheap Talk, Monitoring and Collusion," PSE-Ecole d'économie de Paris (Postprint) halshs-03760756, HAL.
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    64. Eunmi Ko, 2024. "Stationary Bayesian–Markov Equilibria in Bayesian Stochastic Games with Periodic Revelation," Games, MDPI, vol. 15(5), pages 1-17, September.
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    72. Carmen García & Joan Ramon Borrell & José Manuel Ordóñez-de-Haro & Juan Luis Jiménez, 2022. "Managers’ expectations, business cycles and cartels’ life cycle," European Journal of Law and Economics, Springer, vol. 53(3), pages 451-484, June.
    73. Harrington, Joseph E. & Zhao, Wei, 2012. "Signaling and tacit collusion in an infinitely repeated Prisoners’ Dilemma," Mathematical Social Sciences, Elsevier, vol. 64(3), pages 277-289.
    74. Joseph E. Harrington, Jr, 2005. "Detecting Cartels," Economics Working Paper Archive 526, The Johns Hopkins University,Department of Economics.
    75. Joseph E. Harrington, Jr. & Wei Zhao, 2010. "Signaling and Tacit Collusion in an Infinitely Repeated Prisoners' Dilemma," Economics Working Paper Archive 559, The Johns Hopkins University,Department of Economics.
    76. Odenkirchen, Johannes, 2017. "Pricing Behavior of Cartel Outsiders in Incomplete Cartels," VfS Annual Conference 2017 (Vienna): Alternative Structures for Money and Banking 168309, Verein für Socialpolitik / German Economic Association.
    77. Taub, B., 2023. "Signal-jamming in the frequency domain," Games and Economic Behavior, Elsevier, vol. 142(C), pages 896-930.
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    Cited by:

    1. Francesco Decarolis, 2009. "When the Highest Bidder Loses the Auction: Theory and Evidence from Public Procurement," 2009 Meeting Papers 130, Society for Economic Dynamics.
    2. Laurent Lamy, 2007. "The Econometrics of Auctions with Asymmetric Anonymous Bidders," Working Papers 2007-24, Center for Research in Economics and Statistics.
    3. Gerard Marty & Raphaele Preget, 2007. "A Socio-economic Analysis of French Public Timber Sales," Working Papers - Cahiers du LEF 2007-03, Laboratoire d'Economie Forestiere, AgroParisTech-INRA.
    4. Andreas Lange & John A. List & Michael K. Price, 2010. "Auctions with Resale When Private Values Are Uncertain: Evidence from the Lab and Field," NBER Working Papers 16360, National Bureau of Economic Research, Inc.
    5. Susan Athey & Philip A. Haile, 2006. "Empirical Models of Auctions," Cowles Foundation Discussion Papers 1562, Cowles Foundation for Research in Economics, Yale University.
    6. Ertaç, Seda & Hortaçsu, Ali & Roberts, James W., 2011. "Entry into auctions: An experimental analysis," International Journal of Industrial Organization, Elsevier, vol. 29(2), pages 168-178, March.
    7. Hanming Fang & Xun Tang, 2013. "Inference of Bidders' Risk Attitudes in Ascending Auctions with Endogenous Entry," NBER Working Papers 19435, National Bureau of Economic Research, Inc.
    8. Susan Athey & Dominic Coey & Jonathan Levin, 2011. "Set-Asides and Subsidies in Auctions," Discussion Papers 10-017, Stanford Institute for Economic Policy Research.
    9. Hu, Yingyao, 2017. "The Econometrics of Unobservables -- Latent Variable and Measurement Error Models and Their Applications in Empirical Industrial Organization and Labor Economics [The Econometrics of Unobservables]," Economics Working Paper Archive 64578, The Johns Hopkins University,Department of Economics, revised 2021.
    10. Cantillon, Estelle & Pesendorfer, Martin, 2013. "Combination bidding in multi-unit auctions," LSE Research Online Documents on Economics 54289, London School of Economics and Political Science, LSE Library.
    11. Yingyao Hu & David McAdams & Matthew Shum, 2009. "Nonparametric identification of auction models with non-separable unobserved heterogeneity," CeMMAP working papers CWP15/09, Centre for Microdata Methods and Practice, Institute for Fiscal Studies.
    12. Tong Li & Xiaoyong Zheng, 2006. "Entry and competition effects in first-price auctions: theory and evidence from procurement auctions," CeMMAP working papers CWP13/06, Centre for Microdata Methods and Practice, Institute for Fiscal Studies.
    13. Guido W. Imbens, 2010. "Better LATE Than Nothing: Some Comments on Deaton (2009) and Heckman and Urzua (2009)," Journal of Economic Literature, American Economic Association, vol. 48(2), pages 399-423, June.
    14. Susan Athey & Jonathan Levin & Enrique Seira, "undated". "Comparing Open and Sealed Bid Auctions: Evidence from Timber Auctions," Discussion Papers 08-012, Stanford Institute for Economic Policy Research.
    15. James W. Roberts & Andrew Sweeting, 2010. "Bailouts and the Preservation of Competition," NBER Working Papers 16650, National Bureau of Economic Research, Inc.
    16. Hubbard, Timothy P. & Paarsch, Harry J., 2009. "Investigating bid preferences at low-price, sealed-bid auctions with endogenous participation," International Journal of Industrial Organization, Elsevier, vol. 27(1), pages 1-14, January.
    17. Patrick Bajari & Stephanie Houghton & Steve Tadelis, 2006. "Bidding for Incomplete Contracts: An Empirical Analysis," NBER Working Papers 12051, National Bureau of Economic Research, Inc.
    18. Eiichiro Kazumori, 2010. "Core-Selecting Auctions: An Experimental Study," CARF F-Series CARF-F-226, Center for Advanced Research in Finance, Faculty of Economics, The University of Tokyo.
    19. Shneyerov, Art & Wong, Adam Chi Leung, 2008. "Identification in First-Price and Dutch Auctions when the Number of Potential Bidders is Unobservable," Microeconomics.ca working papers artyom_shneyerov-2008-12, Vancouver School of Economics, revised 01 Oct 2008.
    20. Lu, Jingfeng & Perrigne, Isabelle, 2006. "Estimating risk aversion from ascending and sealed-bid auctions: the case of timber auction data," MPRA Paper 948, University Library of Munich, Germany.
    21. Zheng, Xiaoyong, 2009. "Quantifying the cost of excess market thickness in timber sale auctions," International Journal of Industrial Organization, Elsevier, vol. 27(5), pages 553-566, September.
    22. Von der Fehr, Nils-Henrik M. & Fabra, Natalia & de Frutos, Maria-Angeles, 2008. "Investment Incentives and Auction Design in Electricity Markets," CEPR Discussion Papers 6626, C.E.P.R. Discussion Papers.
    23. John Asker, 2010. "A Study of the Internal Organization of a Bidding Cartel," American Economic Review, American Economic Association, vol. 100(3), pages 724-762, June.
    24. Cheng, Harrison, 2006. "Ranking sealed high-bid and open asymmetric auctions," Journal of Mathematical Economics, Elsevier, vol. 42(4-5), pages 471-498, August.
    25. Yingyao Hu & Matthew Shum, 2007. "Estimating First-Price Auctions with an Unknown Number of Bidders: A Misclassification Approach," Economics Working Paper Archive 541, The Johns Hopkins University,Department of Economics.
    26. Hanming Fang & Xun Tang, 2011. "Inference of Bidders’ Risk Attitudes in Ascending Auctions with Endogenous Entry, Second Version," PIER Working Paper Archive 12-016, Penn Institute for Economic Research, Department of Economics, University of Pennsylvania, revised 17 Apr 2012.
    27. Ferraro, Paul J., 2008. "Asymmetric information and contract design for payments for environmental services," Ecological Economics, Elsevier, vol. 65(4), pages 810-821, May.
    28. Owen R. Phillips & Dale J. Menkhaus, 2009. "Maintaining Tacit Collusion in Repeated Ascending Auctions," Journal of Law and Economics, University of Chicago Press, vol. 52(1), pages 91-109, February.
    29. Marion, Justin, 2007. "Are bid preferences benign? The effect of small business subsidies in highway procurement auctions," Journal of Public Economics, Elsevier, vol. 91(7-8), pages 1591-1624, August.
    30. Song Yao & Carl F. Mela, 2008. "Online Auction Demand," Marketing Science, INFORMS, vol. 27(5), pages 861-885, 09-10.

  81. Susan Athey & Guido Imbens, 2003. "Identification and Inference in Nonlinear Difference-in-Differences Models," Levine's Working Paper Archive 506439000000000079, David K. Levine.

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    1. Marcantonio Caltabiano & Maria Gabriella Campolo & Antonino Pino, 2016. "Retirement and Intra-Household Labour Division of Italian Couples: A New Simultaneous Equation Approach," Social Indicators Research: An International and Interdisciplinary Journal for Quality-of-Life Measurement, Springer, vol. 128(3), pages 1217-1238, September.
    2. Bergolo, Marcelo & Cruces, Guillermo, 2014. "Work and Tax Evasion Incentive Effects of Social Insurance Programs: Evidence from an Employment-Based Benefit Extension," IZA Discussion Papers 8198, Institute of Labor Economics (IZA).
    3. Brantly Callaway, 2020. "Bounds on Distributional Treatment Effect Parameters using Panel Data with an Application on Job Displacement," Papers 2008.08117, arXiv.org.
    4. Guan, Jing & Tena, J.D., 2022. "Physical activity, leisure-time, cognition and academic grades: Connections and causal effects in Chinese students," Journal of Asian Economics, Elsevier, vol. 78(C).
    5. Gordon H. Hanson, 2005. "Globalization, Labor Income, and Poverty in Mexico," NBER Working Papers 11027, National Bureau of Economic Research, Inc.
    6. Huebener, Mathias & Kuger, Susanne & Marcus, Jan, 2017. "Increased instruction hours and the widening gap in student performance," Labour Economics, Elsevier, vol. 47(C), pages 15-34.
    7. Catherine Haeck & Pierre Lefebvre & Philip Merrigan, 2011. "The Distributional Impacts of a Universal School Reform on Mathematical Achievements: a Natural Experiment from Canada (revised)," Cahiers de recherche 1135, CIRPEE.
    8. Li, Na & Vyn, Richard & McEwan, Ken, 2015. "To Invest or to Sell? The Impacts of Ontario's Greenbelt on Farm Exit and Investment Decisions," 2015 Conference, August 9-14, 2015, Milan, Italy 212049, International Association of Agricultural Economists.
    9. Nakashima, Kiyotaka, 2016. "An econometric evaluation of bank recapitalization programs with bank- and loan-level data," Journal of Banking & Finance, Elsevier, vol. 63(C), pages 1-24.
    10. Masahiro Kato & Akari Ohda & Masaaki Imaizumi, 2023. "Asymptotically Unbiased Synthetic Control Methods by Distribution Matching," Papers 2307.11127, arXiv.org, revised May 2024.
    11. Nicoletta Balbo & Bruno Arpino, 2016. "The Role of Family Orientations in Shaping the Effect of Fertility on Subjective Well-being: A Propensity Score Matching Approach," Demography, Springer;Population Association of America (PAA), vol. 53(4), pages 955-978, August.
    12. Wüthrich, Kaspar, 2020. "A Comparison of Two Quantile Models With Endogeneity," University of California at San Diego, Economics Working Paper Series qt0q43931f, Department of Economics, UC San Diego.
    13. Zhu, Chen & Huang, Rui, 2014. "Heterogeneity in Consumer Responses to Front-of-Package Nutrition Labels: Evidence from a Natural Experiment?," Working Papers 27, University of Connecticut, Department of Agricultural and Resource Economics, Charles J. Zwick Center for Food and Resource Policy.
    14. M. Serkan Akturk & Michael Ketzenberg, 2022. "Impact of Competitor Store Closures on a Major Retailer," Production and Operations Management, Production and Operations Management Society, vol. 31(2), pages 715-730, February.
    15. Diana Alwis, 2020. "Distributional Impacts of Disaster Recovery: Sri Lankan Households a Decade after the 2004 Indian Ocean Tsunami," Economics of Disasters and Climate Change, Springer, vol. 4(1), pages 195-222, April.
    16. Koki Fusejima, 2020. "Identification of multi-valued treatment effects with unobserved heterogeneity," Papers 2010.04385, arXiv.org, revised Apr 2023.
    17. Mudit Kapoor & Shamika Ravi, 2020. "Impact of national lockdown on COVID-19 deaths in select European countries and the US using a Changes-in-Changes model," Papers 2006.12251, arXiv.org.
    18. Charles Angelucci & Julia Cage & Michael Sinkinson, 2020. "Media Competition and News Diets," Working Papers hal-03393063, HAL.
    19. Heckman, James J., 2010. "The Assumptions Underlying Evaluation Estimators," Brazilian Review of Econometrics, Sociedade Brasileira de Econometria - SBE, vol. 30(2), December.
    20. Camille Dumeignil, 2022. "The Impact of Cross-border Labor Mobility on Real Estate Price Trends: A Natural Experiment," International Regional Science Review, , vol. 45(1), pages 108-132, January.
    21. Pedro Carneiro & Karsten T. Hansen & James J. Heckman, 2003. "Estimating Distributions of Treatment Effects with an Application to the Returns to Schooling and Measurement of the Effects of Uncertainty on College," NBER Working Papers 9546, National Bureau of Economic Research, Inc.
    22. Guglielmo Barone, 2011. "On the optimal size of local jurisdictions: new evidence from Italian provinces," Temi di discussione (Economic working papers) 823, Bank of Italy, Economic Research and International Relations Area.
    23. Bart Cockx & Jean Ries, 2004. "The Exhaustion of Unemployment Benefits in Belgium. Does it Enhance the Probability of Employment?," CESifo Working Paper Series 1226, CESifo.
    24. Daria Denti & Simona Iammarino, 2020. "Coming out of the woods. Do local support services influence the propensity to report sexual violence?," Discussion Paper series in Regional Science & Economic Geography 2020-03, Gran Sasso Science Institute, Social Sciences, revised Jun 2020.
    25. Roberto Gabriele & Andrea Mazzitelli & Giuseppe Espa & Maria Michela Dickson, 2019. "Capabilities and firm growth: the role of formal collaboration agreements," DEM Working Papers 2019/16, Department of Economics and Management.
    26. Virginia Cocina Díaz & Mar Llorente-Marrón & Sandra Dema Moreno, 2024. "The socio-economic consequences of the earthquakes in the Dominican Republic (2003), Honduras (2007 and 2009) and Haiti (2010) on gender relations: urban vs. rural areas," Natural Hazards: Journal of the International Society for the Prevention and Mitigation of Natural Hazards, Springer;International Society for the Prevention and Mitigation of Natural Hazards, vol. 120(13), pages 11765-11789, October.
    27. Richard Blundell & Monica Costa Dias, 2009. "Alternative Approaches to Evaluation in Empirical Microeconomics," Journal of Human Resources, University of Wisconsin Press, vol. 44(3).
    28. Stefan Boes & Michael Gerfin, 2013. "Does full insurance increase the demand for health care?," Diskussionsschriften dp1305, Universitaet Bern, Departement Volkswirtschaft.
    29. Vardan Baghdasaryan & Gayane Barseghyan, 2024. "Child care fee abolition and female labor supply: Quasi‐experimental evidence from a developing country," Economics of Transition and Institutional Change, John Wiley & Sons, vol. 32(1), pages 299-338, January.
    30. Myoung-jae Lee, 2016. "Generalized Difference in Differences With Panel Data and Least Squares Estimator," Sociological Methods & Research, , vol. 45(1), pages 134-157, February.
    31. Erlend E. Bø & Joel Slemrod & Thor O. Thoresen, 2014. "Taxes on the internet. Deterrence effects of public disclosure," Discussion Papers 770, Statistics Norway, Research Department.
    32. Yechan Park & Yuya Sasaki, 2024. "A Bracketing Relationship for Long-Term Policy Evaluation with Combined Experimental and Observational Data," Papers 2401.12050, arXiv.org.
    33. Heléne Lundqvist, 2015. "Granting public or private consumption? Effects of grants on local public spending and income taxes," International Tax and Public Finance, Springer;International Institute of Public Finance, vol. 22(1), pages 41-72, February.
    34. Li Liu & Gary Gang Tian, 2021. "Mandatory CSR disclosure, monitoring and investment efficiency: evidence from China," Accounting and Finance, Accounting and Finance Association of Australia and New Zealand, vol. 61(1), pages 595-644, March.
    35. James K. Hammitt & Peter Morfeld & Jouni T. Tuomisto & Thomas C. Erren, 2020. "Premature Deaths, Statistical Lives, and Years of Life Lost: Identification, Quantification, and Valuation of Mortality Risks," Risk Analysis, John Wiley & Sons, vol. 40(4), pages 674-695, April.
    36. Cameron D. Miller & Richard D. Wang, 2024. "Product digitization and differentiation strategy change: Evidence from the book publishing industry," Strategic Management Journal, Wiley Blackwell, vol. 45(7), pages 1241-1272, July.
    37. Wang, Zheng-Xin & Jv, Yue-Qi, 2022. "A smooth difference-in-differences model for assessing gradual policy effects: Revisiting the impact of banking deregulation on income distribution," Finance Research Letters, Elsevier, vol. 50(C).
    38. Carneiro, Pedro & Hansen, Karsten & Heckman, James, 2003. "Estimating distributions of treatment effects with an application to the returns to schooling and measurement of the effects of uncertainty on college choice," Working Paper Series 2003:9, IFAU - Institute for Evaluation of Labour Market and Education Policy.
    39. Chen, Songnian, 2010. "An integrated maximum score estimator for a generalized censored quantile regression model," Journal of Econometrics, Elsevier, vol. 155(1), pages 90-98, March.
    40. Bofinger, Peter & Schnabel, Isabel & Feld, Lars P. & Schmidt, Christoph M. & Wieland, Volker, 2015. "Zukunftsfähigkeit in den Mittelpunkt. Jahresgutachten 2015/16 [Focus on Future Viability. Annual Report 2015/16]," Annual Economic Reports / Jahresgutachten, German Council of Economic Experts / Sachverständigenrat zur Begutachtung der gesamtwirtschaftlichen Entwicklung, volume 127, number 201516, September.
    41. Tetsuya Kaji & Jianfei Cao, 2023. "Assessing Heterogeneity of Treatment Effects," Papers 2306.15048, arXiv.org.
    42. Rodger Barros Antunes Campos & Gustavo Pereira Serra, 2020. "The decision on unconstitutionality of earmarking and its impact on the housing access: Evidence from São Paulo State, Brazil," Regional Science Policy & Practice, Wiley Blackwell, vol. 12(1), pages 25-42, February.
    43. Irvine Ian J. & Nguyen Van Hai, 2014. "Retail Tobacco Display Bans," Forum for Health Economics & Policy, De Gruyter, vol. 17(2), pages 169-195, September.
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    157. Marta Troya-Martinez, 2017. "Self-Enforcing Trade Credit," Working Papers w0240, Center for Economic and Financial Research (CEFIR).
    158. Osaki, Yusuke & Quiggin, John, 2007. "A Risk-neutral Characterization of Optimization and Pessimism and its Applications," Risk and Sustainable Management Group Working Papers 151180, University of Queensland, School of Economics.
    159. Osaki, Yusuke & Quiggin, John, 2008. "Stochastic dominance representation of optimistic belief: Theory and applications," Economics Letters, Elsevier, vol. 101(3), pages 275-278, December.
    160. Andrew Butters, R., 2019. "On demand uncertainty in the newsvendor model," Economics Letters, Elsevier, vol. 185(C).
    161. Denis Chetverikov, 2012. "Testing regression monotonicity in econometric models," CeMMAP working papers CWP35/12, Centre for Microdata Methods and Practice, Institute for Fiscal Studies.
    162. Wagener, Andreas, 2006. "Chebyshev's Algebraic Inequality and comparative statics under uncertainty," Mathematical Social Sciences, Elsevier, vol. 52(2), pages 217-221, September.
    163. Harbaugh, Richmond & To, Theodore, 2020. "False modesty: When disclosing good news looks bad," Journal of Mathematical Economics, Elsevier, vol. 87(C), pages 43-55.
    164. Shah, Sudhir A., 2017. "How risky is a random process?," Journal of Mathematical Economics, Elsevier, vol. 72(C), pages 70-81.
    165. Luo, Yao, 2020. "Unobserved heterogeneity in auctions under restricted stochastic dominance," Journal of Econometrics, Elsevier, vol. 216(2), pages 354-374.
    166. TRUYTS, Tom, 2012. "Stochastic signaling: information substitutes and complements," LIDAM Discussion Papers CORE 2012022, Université catholique de Louvain, Center for Operations Research and Econometrics (CORE).
    167. Marta Troya-Martinez, 2017. "Self-Enforcing Trade Credit," Working Papers w0240, New Economic School (NES).
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    170. Shadmehr, Mehdi, 2015. "Extremism in revolutionary movements," Games and Economic Behavior, Elsevier, vol. 94(C), pages 97-121.
    171. Kirkegaard, René, 2023. "Endogenous criteria for success," Journal of Economic Theory, Elsevier, vol. 214(C).
    172. Bruno Strulovici & Thomas Weber, 2010. "Generalized monotonicity analysis," Economic Theory, Springer;Society for the Advancement of Economic Theory (SAET), vol. 43(3), pages 377-406, June.
    173. Campbell, T. Colin & Gallmeyer, Michael & Johnson, Shane A. & Rutherford, Jessica & Stanley, Brooke W., 2011. "CEO optimism and forced turnover," Journal of Financial Economics, Elsevier, vol. 101(3), pages 695-712, September.
    174. Ghossoub, Mario, 2010. "Supplement to "Belief heterogeneity in the Arrow-Borch-Raviv insurance model"," MPRA Paper 37717, University Library of Munich, Germany, revised 22 Mar 2012.
    175. Troya-Martinez, Marta, 2017. "Self-enforcing trade credit," International Journal of Industrial Organization, Elsevier, vol. 52(C), pages 333-357.
    176. Wang, Dazhong & Xu, Xinyi, 2022. "Optimal equity auction with interdependent valuations," Journal of Mathematical Economics, Elsevier, vol. 100(C).
    177. Grabiszewski, Konrad & Horenstein, Alex, 2020. "Effort is not a monotonic function of skills: Results from a global mobile experiment," Journal of Economic Behavior & Organization, Elsevier, vol. 176(C), pages 634-652.
    178. Ding, Yucheng & Zhao, Xin, 2019. "Pay-for-delay patent settlement, generic entry and welfare," International Journal of Industrial Organization, Elsevier, vol. 67(C).
    179. Bensalem, Sarah & Santibáñez, Nicolás Hernández & Kazi-Tani, Nabil, 2020. "Prevention efforts, insurance demand and price incentives under coherent risk measures," Insurance: Mathematics and Economics, Elsevier, vol. 93(C), pages 369-386.
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    Cited by:

    1. Di Corato, Luca & Moretto, Michele, 2016. "Selling real assets: the impact of idiosyncratic project risk in an auction environment," Working Paper Series 2016:9, Swedish University of Agricultural Sciences, Department Economics.
    2. Vasserman, Shoshana & Watt, Mitchell, 2021. "Risk aversion and auction design: Theoretical and empirical evidence," International Journal of Industrial Organization, Elsevier, vol. 79(C).
    3. Alok Gupta & Stephen Parente & Pallab Sanyal, 2012. "Competitive bidding for health insurance contracts: lessons from the online HMO auctions," International Journal of Health Economics and Management, Springer, vol. 12(4), pages 303-322, December.
    4. Gregory E. Kersten, 2014. "Multiattribute Procurement Auctions: Efficiency and Social Welfare in Theory and Practice," Decision Analysis, INFORMS, vol. 11(4), pages 215-232, December.
    5. Kerr, Suzi & Sanchirico, James & Newell, Richard, 2002. "Fishing Quota Markets," RFF Working Paper Series dp-02-20, Resources for the Future.
    6. Xiaohong Chen & Matthew Gentry & Tong Li & Jingfeng Lu, 2020. "Identification and Inference in First-Price Auctions with Risk Averse Bidders and Selective Entry," Cowles Foundation Discussion Papers 2257, Cowles Foundation for Research in Economics, Yale University.
    7. White, Lucy & Esö, Péter, 2003. "Precautionary Bidding in Auctions," CEPR Discussion Papers 3975, C.E.P.R. Discussion Papers.
    8. Lamy, Laurent & Patnam, Manasa & Visser, Michael, 2023. "Distinguishing incentive from selection effects in auction-determined contracts," Journal of Econometrics, Elsevier, vol. 235(2), pages 1172-1202.
    9. Luca Corazzini & Stefano Galavotti & Rupert Sausgruber & Paola Valbonesi, 2017. "Allotment in first-price auctions: an experimental investigation," Experimental Economics, Springer;Economic Science Association, vol. 20(1), pages 70-99, March.
    10. Susan Athey & Philip A. Haile, 2006. "Empirical Models of Auctions," Cowles Foundation Discussion Papers 1562, Cowles Foundation for Research in Economics, Yale University.
    11. Leonardo Rezende, 2009. "Biased procurement auctions," Economic Theory, Springer;Society for the Advancement of Economic Theory (SAET), vol. 38(1), pages 169-185, January.
    12. Gregory Lewis & Patrick Bajari, 2011. "Moral Hazard, Incentive Contracts and Risk: Evidence from Procurement," NBER Working Papers 17647, National Bureau of Economic Research, Inc.
    13. Hojin Jung, 2016. "Renegotiation on incomplete procurement contracts," Applied Economics, Taylor & Francis Journals, vol. 48(23), pages 2125-2138, May.
    14. Hema Yoganarasimhan, 2016. "Estimation of Beauty Contest Auctions," Marketing Science, INFORMS, vol. 35(1), pages 27-54, January.
    15. Todd R. Kaplan & Shmuel Zamir, 2014. "Advances in Auctions," Discussion Paper Series dp662, The Federmann Center for the Study of Rationality, the Hebrew University, Jerusalem.
    16. Barbosa, Klenio, 2009. "Free Riding in Procurement Design," TSE Working Papers 09-128, Toulouse School of Economics (TSE).
    17. Farnia, Farnoush & Frayret, Jean-Marc & Beaudry, Catherine & Lebel, Luc, 2015. "Time-based combinatorial auction for timber allocation and delivery coordination," Forest Policy and Economics, Elsevier, vol. 50(C), pages 143-152.
    18. Susan Athey & Philip A. Haile, 2002. "Identification of Standard Auction Models," Econometrica, Econometric Society, vol. 70(6), pages 2107-2140, November.
    19. Maréchal, François & Morand, Pierre-Henri, 2011. "First-price sealed-bid auctions when bidders exhibit different attitudes toward risk," Economics Letters, Elsevier, vol. 113(2), pages 108-111.
    20. Aloisio Araujo & Luciano Castro & Humberto Moreira, 2008. "Non-monotoniticies and the all-pay auction tie-breaking rule," Economic Theory, Springer;Society for the Advancement of Economic Theory (SAET), vol. 35(3), pages 407-440, June.
    21. Heumann, Tibor, 2019. "An ascending auction with multi-dimensional signals," Journal of Economic Theory, Elsevier, vol. 184(C).
    22. Sander Renes, 2011. "Balancing the Bids, Solutions for Unit Price Auctions," Tinbergen Institute Discussion Papers 11-047/1, Tinbergen Institute.
    23. Dakshina G. De Silva & Timothy Dunne & Georgia Kosmopoulou & Carlos Lamarche, 2015. "Project modifications and bidding in highway procurement auctions," FRB Atlanta Working Paper 2015-14, Federal Reserve Bank of Atlanta.
    24. An, Yonghong, 2017. "Identification of first-price auctions with non-equilibrium beliefs: A measurement error approach," Journal of Econometrics, Elsevier, vol. 200(2), pages 326-343.
    25. Patrick Bajari & Jeremy T. Fox, 2005. "Measuring the Efficiency of an FCC Spectrum Auction," NBER Working Papers 11671, National Bureau of Economic Research, Inc.
    26. Li, Tong, 2010. "Indirect inference in structural econometric models," Journal of Econometrics, Elsevier, vol. 157(1), pages 120-128, July.
    27. Gentry, Matthew & Li, Tong & Lu, Jingfeng, 2015. "Existence of monotone equilibrium in first price auctions with private risk aversion and private initial wealth," LSE Research Online Documents on Economics 66100, London School of Economics and Political Science, LSE Library.
    28. Park, Minsoo & Lee, Sang-Woo & Choi, Yong-Jae, 2011. "Does spectrum auctioning harm consumers? Lessons from 3G licensing," Information Economics and Policy, Elsevier, vol. 23(1), pages 118-126, March.
    29. Svante Mandell & Johan Nyström, 2013. "Too Much Balance in Unbalanced Bidding," Studies in Microeconomics, , vol. 1(1), pages 23-35, June.
    30. Villas-Boas, Sofia B, 2006. "An Introduction to Auctions," Department of Agricultural & Resource Economics, UC Berkeley, Working Paper Series qt4tk408vh, Department of Agricultural & Resource Economics, UC Berkeley.
    31. Philip A. Haile, 2001. "Auctions with Resale Markets: An Application to U.S. Forest Service Timber Sales," American Economic Review, American Economic Association, vol. 91(3), pages 399-427, June.
    32. Iossa, Elisabetta & Loertscher, Simon & Marx, Leslie & Rey, Patrick, 2020. "Collusive Market Allocations," TSE Working Papers 20-1084, Toulouse School of Economics (TSE).
    33. Yu (Jeffrey) Hu & Jiwoong Shin & Zhulei Tang, 2016. "Incentive Problems in Performance-Based Online Advertising Pricing: Cost per Click vs. Cost per Action," Management Science, INFORMS, vol. 62(7), pages 2022-2038, July.
    34. De Silva, Dakshina G. & Dunne, Timothy & Kankanamge, Anuruddha & Kosmopoulou, Georgia, 2008. "The impact of public information on bidding in highway procurement auctions," European Economic Review, Elsevier, vol. 52(1), pages 150-181, January.
    35. Negin Golrezaei & Hamid Nazerzadeh, 2017. "Auctions with Dynamic Costly Information Acquisition," Operations Research, INFORMS, vol. 65(1), pages 130-144, February.
    36. Nathalie Gimenes, 2014. "Econometrics of Ascending Auctions by Quantile Regression," Working Papers, Department of Economics 2014_25, University of São Paulo (FEA-USP).
    37. Farnia, Farnoush & Frayret, Jean-Marc & LeBel, Luc & Beaudry, Catherine, 2013. "Multiple-round timber auction design and simulation," International Journal of Production Economics, Elsevier, vol. 146(1), pages 129-141.
    38. Neha Gupta, 2013. "Government Intervention In Grain Markets In India--Rethinking The Procurement Policy," Working papers 231, Centre for Development Economics, Delhi School of Economics.
    39. Vukina, Tomislav & Zheng, Xiaoyong & Marra, Michele & Levy, Armando, 2008. "Do farmers value the environment? Evidence from a conservation reserve program auction," International Journal of Industrial Organization, Elsevier, vol. 26(6), pages 1323-1332, November.
    40. Susan Athey & Jonathan Levin & Enrique Seira, "undated". "Comparing Open and Sealed Bid Auctions: Evidence from Timber Auctions," Discussion Papers 08-012, Stanford Institute for Economic Policy Research.
    41. Jonathan Levin & Susan Athey & Enrique Seira, 2004. "Comparing Open and Sealed Bid Auctions: Theory and Evidence from Timber Auctions," Working Papers 2004.142, Fondazione Eni Enrico Mattei.
    42. Li, Tong & Zheng, Xiaoyong, 2012. "Information acquisition and/or bid preparation: A structural analysis of entry and bidding in timber sale auctions," Journal of Econometrics, Elsevier, vol. 168(1), pages 29-46.
    43. Patrick Bajari & Stephanie Houghton & Steve Tadelis, 2006. "Bidding for Incomplete Contracts: An Empirical Analysis," NBER Working Papers 12051, National Bureau of Economic Research, Inc.
    44. Haile,P.A. & Tamer,E.T., 2000. "Inference with an incomplete model of English auctions," Working papers 18, Wisconsin Madison - Social Systems.
    45. Kanieski da Silva, Bruno & Tanger, Shaun & Marufuzzaman, Mohammad & Cubbage, Frederick, 2022. "Perfect assumptions in an imperfect world: Managing timberland in an oligopoly market," Forest Policy and Economics, Elsevier, vol. 137(C).
    46. Negin Golrezaei & Hamid Nazerzadeh, 2017. "Auctions with Dynamic Costly Information Acquisition," Operations Research, INFORMS, vol. 65(1), pages 130-144, February.
    47. Tatoutchoup, Francis Didier, 2017. "Forestry auctions with interdependent values: Evidence from timber auctions," Forest Policy and Economics, Elsevier, vol. 80(C), pages 107-115.
    48. Bonifaz, José L. & Saavedra, Eduardo H., 2023. "Aggressive bidding and the renegotiation of concession contracts: Empirical evidence from Peru," Utilities Policy, Elsevier, vol. 85(C).
    49. Campo, Sandra, 2012. "Risk aversion and asymmetry in procurement auctions: Identification, estimation and application to construction procurements," Journal of Econometrics, Elsevier, vol. 168(1), pages 96-107.
    50. Lu, Jingfeng & Perrigne, Isabelle, 2006. "Estimating risk aversion from ascending and sealed-bid auctions: the case of timber auction data," MPRA Paper 948, University Library of Munich, Germany.
    51. Laurent Lamy & Manasa Patnam & Michael Visser, 2023. "Distinguishing incentive from selection effects in auction-determined contracts," Post-Print hal-04382099, HAL.
    52. Daniel P. Miller, 2014. "Subcontracting and competitive bidding on incomplete procurement contracts," RAND Journal of Economics, RAND Corporation, vol. 45(4), pages 705-746, December.
    53. Lawrence J. White, 2012. "Market Power: How Does it Arise? How is it Measured?," Working Papers 12-06, New York University, Leonard N. Stern School of Business, Department of Economics.
    54. Daniel Rondeau & Pascal Courty & Maurice Doyon, 2013. "Simultaneous Allocation of Bundled Goods Through Auctions: Assessing the Case for Joint Bidding," CIRANO Working Papers 2013s-37, CIRANO.
    55. John Livernois & Henry Thille & Xianqiang Zhang, 2006. "A test of the Hotelling rule using old‐growth timber data," Canadian Journal of Economics/Revue canadienne d'économique, John Wiley & Sons, vol. 39(1), pages 163-186, February.
    56. Alan Mehlenbacher, 2007. "Multiagent System Platform for Auction Simulations," Department Discussion Papers 0706, Department of Economics, University of Victoria.
    57. Pasha Andreyanov & El Hadi Caoui, 2022. "Secret reserve prices by uninformed sellers," Quantitative Economics, Econometric Society, vol. 13(3), pages 1203-1256, July.
    58. Mandell, Svante & Nyström, Johan, 2011. "Why are bids not more unbalanced?," Working papers in Transport Economics 2011:13, CTS - Centre for Transport Studies Stockholm (KTH and VTI).
    59. M. Haley, 2010. "Bounding revenue leakages at scale-bid timber auctions: evidence from Wisconsin state forest auctions," Empirical Economics, Springer, vol. 39(2), pages 427-437, October.
    60. Hill, Jonathan B. & Shneyerov, Artyom, 2013. "Are there common values in first-price auctions? A tail-index nonparametric test," Journal of Econometrics, Elsevier, vol. 174(2), pages 144-164.
    61. Xin An & Shulin Liu & Shuo Xu, 2011. "Piecewise Pseudo-Maximum Likelihood Estimation for Risk Aversion Case in First-Price Sealed-Bid Auction," Computational Economics, Springer;Society for Computational Economics, vol. 38(4), pages 439-463, November.
    62. Zheng, Xiaoyong, 2009. "Quantifying the cost of excess market thickness in timber sale auctions," International Journal of Industrial Organization, Elsevier, vol. 27(5), pages 553-566, September.
    63. Scott M. Kaplan, 2022. "Putting a price on popularity: Evidence from superstars in the National Basketball Association," Economic Inquiry, Western Economic Association International, vol. 60(3), pages 1357-1381, July.
    64. Nianqing Liu & Yao Luo, 2014. "A Nonparametric Test of Exogenous Participation in First-Price Auctions," Working Papers tecipa-519, University of Toronto, Department of Economics.
    65. Brett Katzman & Kerry Anne McGeary, 2008. "Will Competitive Bidding Decrease Medicare Prices?," Southern Economic Journal, John Wiley & Sons, vol. 74(3), pages 839-856, January.
    66. Han, Xiao & Kant, Shashi & Xie, Yi, 2018. "A spatial hedonic stumpage analysis of standing timber auctions in Jiangxi Province of China," Forest Policy and Economics, Elsevier, vol. 96(C), pages 63-74.
    67. Aradillas-López, Andrés & Gandhi, Amit & Quint, Daniel, 2016. "A simple test for moment inequality models with an application to English auctions," Journal of Econometrics, Elsevier, vol. 194(1), pages 96-115.
    68. Julie Le Gallo & Karine Brisset & Francois Cochard, 2015. "Secret versus public reserve price in an “outcry” English procurement auction: Experimental results," Post-Print hal-03282276, HAL.
    69. Missbauer, Hubert & Hauber, Wolfgang, 2006. "Bid calculation for construction projects: Regulations and incentive effects of unit price contracts," European Journal of Operational Research, Elsevier, vol. 171(3), pages 1005-1019, June.
    70. Stoll, Sebastian & Zöttl, Gregor, 2014. "Transparency in Buyer-Determined Auctions: Should Quality be Private or Public?," Discussion Paper Series of SFB/TR 15 Governance and the Efficiency of Economic Systems 459, Free University of Berlin, Humboldt University of Berlin, University of Bonn, University of Mannheim, University of Munich.
    71. Stoll, Sebastian & Zöttl, Gregor, 2012. "Information Disclosure in Open Non-Binding Procurement Auctions: an Empirical Study," Discussion Papers in Economics 13112, University of Munich, Department of Economics.
    72. Grundl, Serafin & Zhu, Yu, 2023. "Robust inference in first-price auctions: Overbidding as an identifying restriction," Journal of Econometrics, Elsevier, vol. 235(2), pages 484-506.
    73. Gimenes, Nathalie & Guerre, Emmanuel, 2022. "Quantile regression methods for first-price auctions," Journal of Econometrics, Elsevier, vol. 226(2), pages 224-247.
    74. Chady Jabbour & Anis Hoayek & Jean-Michel Salles, 2022. "Formalizing a Two-Step Decision-Making Process in Land Use: Evidence from Controlling Forest Clearcutting Using Spatial Information," Land, MDPI, vol. 12(1), pages 1-17, December.
    75. Matoso, Rafael & Rezende, Marcelo, 2014. "Asymmetric information in oil and gas lease auctions with a national company," International Journal of Industrial Organization, Elsevier, vol. 33(C), pages 72-82.
    76. Belev, S. & Veterinarov, V. & Matveev, E., 2023. "Vertical collusion in public procurement: Estimation based on data for R&D composite auctions," Journal of the New Economic Association, New Economic Association, vol. 59(2), pages 36-63.
    77. Shengwu Li, 2024. "Designing Simple Mechanisms," Papers 2403.18694, arXiv.org, revised Jul 2024.
    78. Moreira, Humberto Ataíde & Araújo, Aloísio Pessoa de & Castro Filho, Luciano I. de, 2004. "Pure strategy equilibria of multidimensional and non-monotonic auctions," FGV EPGE Economics Working Papers (Ensaios Economicos da EPGE) 571, EPGE Brazilian School of Economics and Finance - FGV EPGE (Brazil).
    79. Jason Allen & Robert Clark & Brent R. Hickman & Eric Richert, 2022. "Resolving Failed Banks: Uncertainty, Multiple Bidding & Auction Design," Working Paper 1422, Economics Department, Queen's University.
    80. Jonathan B. Hill & Artyom Shneyerov, 2009. "Are There Common Values in BC Timber Sales? A Tail-Index Nonparametric Test," Working Papers 09003, Concordia University, Department of Economics.
    81. Bax, Eric & Kuratti, Anand & Mcafee, Preston & Romero, Julian, 2012. "Comparing predicted prices in auctions for online advertising," International Journal of Industrial Organization, Elsevier, vol. 30(1), pages 80-88.
    82. Nyström, Johan & Wikström, Daniel, 2019. "Empirical analysis of unbalanced bidding on Swedish roads," Working Papers 2019:4, Swedish National Road & Transport Research Institute (VTI).
    83. Takahashi, Hidenori, 2015. "Strategic design under uncertain evaluations : structural analysis of design-build auctions," Working Papers 15-08, University of Mannheim, Department of Economics.
    84. Stoll, Sebastian & Zöttl, Gregor, 2012. "Information Disclosure in Dynamic Buyer-Determined Procurement Auctions: An Empirical Study," VfS Annual Conference 2012 (Goettingen): New Approaches and Challenges for the Labor Market of the 21st Century 62044, Verein für Socialpolitik / German Economic Association.
    85. Patrick Bajari & Stephanie Houghton & Steven Tadelis, 2004. "Bidding for Incompete Contracts," Working Papers 2004.141, Fondazione Eni Enrico Mattei.
    86. Aryal, Gaurab & Grundl, Serafin & Kim, Dong-Hyuk & Zhu, Yu, 2018. "Empirical relevance of ambiguity in first-price auctions," Journal of Econometrics, Elsevier, vol. 204(2), pages 189-206.
    87. Etro, Federico, 2017. "Research in economics and game theory. A 70th anniversary," Research in Economics, Elsevier, vol. 71(1), pages 1-7.
    88. Elyakime, Bernhard & Loisel, Patrice, 2005. "An optimal standing timber auction?," Journal of Forest Economics, Elsevier, vol. 11(2), pages 107-120, September.

  84. Susan Athey & Andrew Atkeson & Patrick J. Kehoe, 2001. "On the optimality of transparent monetary policy," Working Papers 613, Federal Reserve Bank of Minneapolis.

    Cited by:

    1. Joseph H. Haslag, 2000. "On Fed watching and central bank transparency in an overlapping generations model," Working Papers 0002, Federal Reserve Bank of Dallas.
    2. Manuel Amador & George-Marios Angeletos & Ivan Werning, 2004. "Commitment vs. Flexibility," 2004 Meeting Papers 87, Society for Economic Dynamics.

  85. Susan Athey & Scott Stern, 2000. "The Impact of Information Technology on Emergency Health Care Outcomes," NBER Working Papers 7887, National Bureau of Economic Research, Inc.

    Cited by:

    1. Steven Stern & Elizabeth Merwin & Emily Hauenstein & Ivora Hinton & Virgina Rovnyak & Melvin Wilson & Ishan Williams & Irma Mahone, 2008. "The E¤ect of Rurality on Mental and Physical Health," Virginia Economics Online Papers 381, University of Virginia, Department of Economics.
    2. Ajay Agrawal & Christian Catalini & Avi Goldfarb, 2015. "Slack Time and Innovation," NBER Working Papers 21134, National Bureau of Economic Research, Inc.
    3. Carmen Díaz-Roldán & María del Carmen Ramos-Herrera, 2021. "Innovations and ICT: Do They Favour Economic Growth and Environmental Quality?," Energies, MDPI, vol. 14(5), pages 1-17, March.
    4. Mun S. Ho & Dale W. Jorgenson & Kevin J. Stiroh, 2007. "A retrospective look at the U.S. productivity growth resurgence," Staff Reports 277, Federal Reserve Bank of New York.
    5. Draca, Mirko & Sadun, Raffaella & Van Reenen, John, 2006. "Productivity and ICT: A Review of the Evidence," LSE Research Online Documents on Economics 4561, London School of Economics and Political Science, LSE Library.
    6. Charles Courtemanche & Andrew Friedson & Andrew P. Koller & Daniel I. Rees, 2017. "The Affordable Care Act and Ambulance Response Times," NBER Working Papers 23722, National Bureau of Economic Research, Inc.
    7. Jin, Ginger Zhe & Lee, Jungmin, 2014. "Inspection Technology, Detection, And Compliance: Evidence From Florida Restaurant Inspections," Working Papers 190672, American Association of Wine Economists.
    8. Susan Athey & Raj Chetty & Guido Imbens & Hyunseung Kang, 2016. "Estimating Treatment Effects using Multiple Surrogates: The Role of the Surrogate Score and the Surrogate Index," Papers 1603.09326, arXiv.org, revised Aug 2024.
    9. David Dranove & Christopher Forman & Avi Goldfarb & Shane Greenstein, 2012. "The Trillion Dollar Conundrum: Complementarities and Health Information Technology," NBER Working Papers 18281, National Bureau of Economic Research, Inc.
    10. Lokshin, B. & Carree, M.A. & Belderbos, R.A., 2004. "Testing for complementarity and substitutability in case of multiple practices," Research Memorandum 002, Maastricht University, Maastricht Research School of Economics of Technology and Organization (METEOR).
    11. Ferreira, Susana & Hamilton, Kirk & Vincent, Jeffrey R., 2011. "Nature, socioeconomics and adaptation to natural disasters: new evidence from floods," Policy Research Working Paper Series 5725, The World Bank.
    12. Ruoxuan Xiong & Susan Athey & Mohsen Bayati & Guido Imbens, 2019. "Optimal Experimental Design for Staggered Rollouts," Papers 1911.03764, arXiv.org, revised Sep 2023.
    13. Susan Athey & Mohsen Bayati & Nikolay Doudchenko & Guido Imbens & Khashayar Khosravi, 2018. "Matrix Completion Methods for Causal Panel Data Models," NBER Working Papers 25132, National Bureau of Economic Research, Inc.
    14. Martin Carree & Boris Lokshin & René Belderbos, 2011. "A note on testing for complementarity and substitutability in the case of multiple practices," Journal of Productivity Analysis, Springer, vol. 35(3), pages 263-269, June.
    15. Chris Forman & Anindya Ghose & Avi Goldfarb, 2006. "Geography and Electronic Commerce: Measuring Convenience, Selection, and Price," Working Papers 06-15, NET Institute, revised Sep 2006.
    16. Luis Garicano & Luis Rayo, 2016. "Why Organizations Fail: Models and Cases," Journal of Economic Literature, American Economic Association, vol. 54(1), pages 137-192, March.
    17. Jinhyung Lee & Jeffrey S. McCullough & Robert J. Town, 2012. "The Impact of Health Information Technology on Hospital Productivity," NBER Working Papers 18025, National Bureau of Economic Research, Inc.
    18. Tobias Kretschmer & Eugenio J. Miravete & Jose C. Pernias, 2012. "Competitive Pressure and the Adoption of Complementary Innovations," American Economic Review, American Economic Association, vol. 102(4), pages 1540-1570, June.
    19. Ann P. Bartel & Casey Ichniowski & Kathryn L. Shaw, 2005. "How Does Information Technology Really Affect Productivity? Plant-Level Comparisons of Product Innovation, Process Improvement and Worker Skills," NBER Working Papers 11773, National Bureau of Economic Research, Inc.
    20. Bogaard, Hein & Svejnar, Jan, 2013. "Incentive Pay and Performance: Insider Econometrics in a Multi-Unit Firm," IZA Discussion Papers 7800, Institute of Labor Economics (IZA).
    21. Jason Chan & Anindya Ghose, 2012. "Internet's Dirty Secret: Assessing the Impact of Online Intermediaries on the Outbreak of Sexually Transmitted Diseases," Working Papers 12-07, NET Institute, revised Sep 2012.
    22. David, Guy & Harrington, Scott E., 2010. "Population density and racial differences in the performance of emergency medical services," Journal of Health Economics, Elsevier, vol. 29(4), pages 603-615, July.
    23. Kaplan, David S. & Piedra, Eduardo & Seira, Enrique, 2007. "Entry regulation and business start-ups : evidence from Mexico," Policy Research Working Paper Series 4322, The World Bank.
    24. Elizabeth T. Wilde, 2008. "Do Response Times Matter? The Impact of EMS Response Times on Health Outcomes," Working Papers 1065, Princeton University, Department of Economics, Industrial Relations Section..
    25. Chris Forman & Avi Goldfarb & Shane Greenstein, 2009. "The Internet and Local Wages: Convergence or Divergence?," NBER Working Papers 14750, National Bureau of Economic Research, Inc.
    26. Jeffrey S. McCullough & Stephen T. Parente & Robert Town, 2013. "Health Information Technology and Patient Outcomes: The Role of Organizational and Informational Complementarities," NBER Working Papers 18684, National Bureau of Economic Research, Inc.
    27. Seth Freedman & Haizhen Lin & Jeffrey Prince, 2018. "Information Technology and Patient Health: Analyzing Outcomes, Populations, and Mechanisms," American Journal of Health Economics, University of Chicago Press, vol. 4(1), pages 51-79, Winter.
    28. Elizabeth Ty Wilde, 2013. "Do Emergency Medical System Response Times Matter For Health Outcomes?," Health Economics, John Wiley & Sons, Ltd., vol. 22(7), pages 790-806, July.
    29. Davide Consoli & Francesco Vona & Francesco Rentocchini, 2016. "That was then, this is now: skills and routinization in the 2000s," Industrial and Corporate Change, Oxford University Press and the Associazione ICC, vol. 25(5), pages 847-866.
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    1. Luis Cabral, 2000. "Increasing Dominance With No Efficiency Effect," Working Papers 00-06, New York University, Leonard N. Stern School of Business, Department of Economics.
    2. Cantillon, Estelle & Arozamena, Leandro, 2001. "Investment Incentives in Procurement Auctions," CEPR Discussion Papers 2676, C.E.P.R. Discussion Papers.
    3. Leiponen, Aija, . "Essays in the Economics of Knowledge: Innovation, Collaboration, and Organizational Complementarities," ETLA A, The Research Institute of the Finnish Economy, number 31, June.
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    5. Von der Fehr, Nils-Henrik M. & Fabra, Natalia & de Frutos, Maria-Angeles, 2008. "Investment Incentives and Auction Design in Electricity Markets," CEPR Discussion Papers 6626, C.E.P.R. Discussion Papers.

  87. Athey,S. & Haile,P.A., 2000. "Identification of standard auction models," Working papers 13, Wisconsin Madison - Social Systems.

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    1. Caio Waisman, 2021. "Selling mechanisms for perishable goods: An empirical analysis of an online resale market for event tickets," Quantitative Marketing and Economics (QME), Springer, vol. 19(2), pages 127-178, June.
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    1. Juan-Jose Ganuza & Jose S. Penalva-Zuasti, 2005. "On Information Revelation in Private Value Auctions," Levine's Working Paper Archive 666156000000000520, David K. Levine.
    2. David Lagziel & Ehud Lehrer, 2022. "Dynamic screening," Papers 2204.13392, arXiv.org.
    3. Bernard Sinclair-Desgagné, 2018. "The Preference for Monotone Decision Problems," Cahiers du GREThA (2007-2019) 2018-15, Groupe de Recherche en Economie Théorique et Appliquée (GREThA).
    4. John K.-H. Quah & Bruno Strulovici, 2009. "Comparative Statics, Informativeness, and the Interval Dominance Order," Econometrica, Econometric Society, vol. 77(6), pages 1949-1992, November.
    5. Ehud Lehrer & Dinah Rosenberg, 2003. "What restrictions do Bayesian games impose on the value of information?," Game Theory and Information 0312005, University Library of Munich, Germany.
    6. Frick, Mira & Iijima, Ryota & Ishii, Yuhta, 2022. "Learning Efficiency of Multi-Agent Information Structures," CEPR Discussion Papers 16877, C.E.P.R. Discussion Papers.
    7. Antonio Cabrales & Olivier Gossner & Roberto Serrano, 2013. "Entropy and the Value of Information for Investors," Post-Print hal-00812682, HAL.
    8. Cabrales, Antonio & Gossner, Olivier & Serrano, Roberto, 2012. "The Appeal of Information Transactions," UC3M Working papers. Economics we1224, Universidad Carlos III de Madrid. Departamento de Economía.
    9. Ian M. Schmutte & Nathan Yoder, 2022. "Information Design for Differential Privacy," Papers 2202.05452, arXiv.org, revised Jul 2024.
    10. Chrysanthos Dellarocas, 2006. "Strategic Manipulation of Internet Opinion Forums: Implications for Consumers and Firms," Management Science, INFORMS, vol. 52(10), pages 1577-1593, October.
    11. Sinclair-Desgagné, Bernard, 2019. "Prior knowledge and monotone decision problems," Economics Letters, Elsevier, vol. 175(C), pages 15-18.
    12. Börgers, Tilman & Hernando-Veciana, Ángel & Krähmer, Daniel, 2007. "When are signals complements or substitutes?," UC3M Working papers. Economics we072111, Universidad Carlos III de Madrid. Departamento de Economía.
    13. Szalay, Dezso, 2006. "Contracts with Endogenous Information," Economic Research Papers 269750, University of Warwick - Department of Economics.
    14. Martin, Simon & Shelegia, Sandro, 2021. "Underpromise and overdeliver? - Online product reviews and firm pricing," International Journal of Industrial Organization, Elsevier, vol. 79(C).
    15. Thomas Weber, 2010. "Simple methods for evaluating and comparing binary experiments," Theory and Decision, Springer, vol. 69(2), pages 257-288, August.
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    17. Schweinzer, Paul, 2006. "Sequential bargaining with pure common values and incomplete information on both sides," Discussion Paper Series of SFB/TR 15 Governance and the Efficiency of Economic Systems 136, Free University of Berlin, Humboldt University of Berlin, University of Bonn, University of Mannheim, University of Munich.
    18. Margaret Meyer & Bruno Strulovici, 2013. "Beyond Correlation: Measuring Interdependence Through Complementarities," Economics Series Working Papers 655, University of Oxford, Department of Economics.
    19. Awaya, Yu & Do, Jihwan, 2022. "Incentives under equal-pay constraint and subjective peer evaluation," Games and Economic Behavior, Elsevier, vol. 135(C), pages 41-59.
    20. Vlad Mares & Mikhael Shor, 2008. "Information Concentration in Common Value Environments," Working papers 2012-23, University of Connecticut, Department of Economics.
    21. Avi Lichtig & Helene Mass, 2024. "Optimal Testing in Disclosure Games," CRC TR 224 Discussion Paper Series crctr224_2024_543, University of Bonn and University of Mannheim, Germany.
    22. David A. Hennessy & John Miranowski & Bruce A. Babcock, 2003. "Genetic Information in Agricultural Productivity and Product Development," Center for Agricultural and Rural Development (CARD) Publications 03-wp329, Center for Agricultural and Rural Development (CARD) at Iowa State University.
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    26. Dimitrova, Magdalena & Schlee, Edward E., 2003. "Monopoly, competition and information acquisition," International Journal of Industrial Organization, Elsevier, vol. 21(10), pages 1623-1642, December.
    27. Luís Santos-Pinto, 2009. "Asymmetries in Information Processing in a Decision Theory Framework," Theory and Decision, Springer, vol. 66(4), pages 317-343, April.
    28. Ambuehl, Sandro & Li, Shengwu, 2018. "Belief updating and the demand for information," Games and Economic Behavior, Elsevier, vol. 109(C), pages 21-39.
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    35. Anton Kolotilin, 2013. "Experimental Design to Persuade," Discussion Papers 2013-17, School of Economics, The University of New South Wales.
    36. Vlad Mares & Mikhael Shor, 2003. "Joint Bidding in Common Value Auctions: Theory and Evidence," Game Theory and Information 0305001, University Library of Munich, Germany.
    37. Jean-Sauveur Ay & Julie Le Gallo, 2021. "The signaling value of nested wine names," Post-Print hal-03268014, HAL.
    38. Eiichiro Kazumori & John Mcmillan, 2005. "Selling Online Versus Live," Journal of Industrial Economics, Wiley Blackwell, vol. 53(4), pages 543-569, December.
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    41. Amir, Rabah & Lazzati, Natalia, 2016. "Endogenous information acquisition in Bayesian games with strategic complementarities," Journal of Economic Theory, Elsevier, vol. 163(C), pages 684-698.
    42. Van den Berg, Gerard, 2007. "An Economic Analysis of Exclusion Restrictions for Instrumental Variable Estimation," CEPR Discussion Papers 6157, C.E.P.R. Discussion Papers.
    43. Juan-José Ganuza & José S. Penalva Zuasti, 2005. "On Information and Competition in Private Value Auctions," Working Papers wp2005_0503, CEMFI.
    44. Sudip Gupta, 2004. "Endogenous Asymmetry and Entry in Sequential Multi-Unit Auctions: Identification and Estimation," Econometric Society 2004 North American Summer Meetings 566, Econometric Society.
    45. Joseph Whitmeyer & Mark Whitmeyer, 2019. "Mixtures of Mean-Preserving Contractions," Papers 1905.05157, arXiv.org, revised Sep 2020.
    46. Juan Dubra & Federico Echenique, 2004. "Monotone Preferences Over Information," Yale School of Management Working Papers ysm405, Yale School of Management.
    47. Mark Whitmeyer, 2022. "Making Information More Valuable," Papers 2210.04418, arXiv.org, revised Jun 2024.
    48. Marschak, Thomas & Shanthikumar, J. George & Zhou, Junjie, 2017. "Does more information-gathering effort raise or lower the average quantity produced?," Journal of Mathematical Economics, Elsevier, vol. 69(C), pages 104-117.
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    50. Hernando-Veciana, Ángel, 2009. "Information acquisition in auctions: Sealed bids vs. open bids," Games and Economic Behavior, Elsevier, vol. 65(2), pages 372-405, March.
    51. Mark Whitmeyer, 2024. "Can One Hear the Shape of a Decision Problem?," Papers 2403.06344, arXiv.org, revised Apr 2024.
    52. Susan Athey & David Miller, 2006. "Efficiency in Repeated Trade with Hidden Valuations," Levine's Bibliography 784828000000000256, UCLA Department of Economics.
    53. Alexander E. Saak, 2008. "The Value Of Private Information In Monopoly," Journal of Industrial Economics, Wiley Blackwell, vol. 56(1), pages 169-189, March.
    54. Alexander E. Saak & David A. Hennessy, 2002. "Planting Decisions and Uncertain Consumer Acceptance of Genetically Modified Crop Varieties," American Journal of Agricultural Economics, Agricultural and Applied Economics Association, vol. 84(2), pages 308-319.
    55. Li, Jian & Zhou, Junjie, 2016. "Blackwell's informativeness ranking with uncertainty-averse preferences," Games and Economic Behavior, Elsevier, vol. 96(C), pages 18-29.
    56. Alfred Müller & Marco Scarsini, 2002. "Even Risk-Averters may Love Risk," Theory and Decision, Springer, vol. 52(1), pages 81-99, February.
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    Cited by:

    1. Lena E. Hensvik, 2014. "Manager Impartiality: Worker-Firm Matching and the Gender Wage Gap," ILR Review, Cornell University, ILR School, vol. 67(2), pages 395-421, April.
    2. Biasi, Barbara & Sarsons, Heather, 2020. "Flexible Wages, Bargaining, and the Gender Gap," IZA Discussion Papers 13754, Institute of Labor Economics (IZA).
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    5. Gérard Ballot & Fathi Fakhfakh & Fabrice Galia & Ammon Salter, 2015. "The fateful triangle: Complementarities in performance between product, process and organizational innovation in France and the UK," Post-Print hal-04149205, HAL.
    6. Martin Junge & Battista Severgnini & Anders Sørensen, 2016. "Product-Marketing Innovation, Skills, and Firm Productivity Growth," Review of Income and Wealth, International Association for Research in Income and Wealth, vol. 62(4), pages 724-757, December.
    7. Susan Athey & Raj Chetty & Guido W. Imbens & Hyunseung Kang, 2019. "The Surrogate Index: Combining Short-Term Proxies to Estimate Long-Term Treatment Effects More Rapidly and Precisely," NBER Working Papers 26463, National Bureau of Economic Research, Inc.
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    35. Paolo Ghinetti, 2007. "Technology Innovations, Organisational Changes and Firms’ Wages in Italy," Working Papers 111, SEMEQ Department - Faculty of Economics - University of Eastern Piedmont.
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    38. Spyros Arvanitis & Boris Lokshin & Pierre Mohnen & Martin Woerter, 2015. "Impact of External Knowledge Acquisition Strategies on Innovation: A Comparative Study Based on Dutch and Swiss Panel Data," Review of Industrial Organization, Springer;The Industrial Organization Society, vol. 46(4), pages 359-382, June.
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    50. Arrunada, Benito & Garicano, Luis & Vazquez, Luis, 2001. "Contractual Allocation of Decision Rights and Incentives: The Case of Automobile Distribution," The Journal of Law, Economics, and Organization, Oxford University Press, vol. 17(1), pages 257-284, April.
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    4. Waki, Yuichiro & Dennis, Richard & Fujiwara, Ippei, 2015. "The Optimal Degree of Monetary-Discretion in a New Keynesian Model with Private Information," SIRE Discussion Papers 2015-66, Scottish Institute for Research in Economics (SIRE).
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    2. Justin G. Trogdon, 2005. "Demand for and Regulation of Cardiac Services," HEW 0502001, University Library of Munich, Germany.
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    4. Elizabeth Ty Wilde, 2013. "Do Emergency Medical System Response Times Matter For Health Outcomes?," Health Economics, John Wiley & Sons, Ltd., vol. 22(7), pages 790-806, July.

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    Cited by:

    1. Van Zandt, Timothy, 2010. "Interim Bayesian Nash equilibrium on universal type spaces for supermodular games," Journal of Economic Theory, Elsevier, vol. 145(1), pages 249-263, January.
    2. Yonatan Gur & Lijian Lu & Gabriel Y. Weintraub, 2017. "Framework Agreements in Procurement: An Auction Model and Design Recommendations," Manufacturing & Service Operations Management, INFORMS, vol. 19(4), pages 586-603, October.
    3. Barbieri, Stefano & Malueg, David A., 2010. "Threshold uncertainty in the private-information subscription game," Journal of Public Economics, Elsevier, vol. 94(11-12), pages 848-861, December.
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    1. Felipe Balmaceda, 2020. "Contracting with moral hazard, adverse selection and risk neutrality: when does one size fit all?," International Journal of Game Theory, Springer;Game Theory Society, vol. 49(2), pages 601-637, June.
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    9. Volker Grossmann, 2003. "Contest for Attention in a Quality-Ladder Model of Endogenous Growth," CESifo Working Paper Series 1003, CESifo.
    10. Susan Athey & Armin Schmutzler, 1999. "Innovation and the Emergence of Market Dominance," Working papers 99-18, Massachusetts Institute of Technology (MIT), Department of Economics.
    11. Alan Beggs, 2015. "Learning in Monotone Bayesian Games," Economics Series Working Papers 737, University of Oxford, Department of Economics.
    12. Aija Leiponen, 2005. "Core complementarities of the corporation: organization of an innovating firm," Managerial and Decision Economics, John Wiley & Sons, Ltd., vol. 26(6), pages 351-365.
    13. Beggs, A.W., 2015. "Regularity and robustness in monotone Bayesian games," Journal of Mathematical Economics, Elsevier, vol. 60(C), pages 145-158.
    14. Ghossoub, Mario, 2010. "Supplement to "Belief heterogeneity in the Arrow-Borch-Raviv insurance model"," MPRA Paper 37717, University Library of Munich, Germany, revised 22 Mar 2012.

Articles

  1. Athey, Susan & Imbens, Guido W. & Metzger, Jonas & Munro, Evan, 2024. "Using Wasserstein Generative Adversarial Networks for the design of Monte Carlo simulations," Journal of Econometrics, Elsevier, vol. 240(2).
    See citations under working paper version above.
  2. Ruohan Zhan & Zhimei Ren & Susan Athey & Zhengyuan Zhou, 2024. "Policy Learning with Adaptively Collected Data," Management Science, INFORMS, vol. 70(8), pages 5270-5297, August.
    See citations under working paper version above.
  3. Ruoxuan Xiong & Susan Athey & Mohsen Bayati & Guido Imbens, 2024. "Optimal Experimental Design for Staggered Rollouts," Management Science, INFORMS, vol. 70(8), pages 5317-5336, August.
    See citations under working paper version above.
  4. Susan Athey & Kristen Grabarz & Michael Luca & Nils Wernerfelt, 2023. "Digital public health interventions at scale: The impact of social media advertising on beliefs and outcomes related to COVID vaccines," Proceedings of the National Academy of Sciences, Proceedings of the National Academy of Sciences, vol. 120(5), pages 2208110120-, January.
    See citations under working paper version above.
  5. Zhengyuan Zhou & Susan Athey & Stefan Wager, 2023. "Offline Multi-Action Policy Learning: Generalization and Optimization," Operations Research, INFORMS, vol. 71(1), pages 148-183, January.
    See citations under working paper version above.
  6. Alberto Abadie & Susan Athey & Guido W Imbens & Jeffrey M Wooldridge, 2023. "When Should You Adjust Standard Errors for Clustering?," The Quarterly Journal of Economics, President and Fellows of Harvard College, vol. 138(1), pages 1-35.
    See citations under working paper version above.
  7. Susan Athey & Mark Chicu & Malika Krishna & Ioana Marinescu, 2023. "The Year in Review: Economics at the Antitrust Division, 2022–2023," Review of Industrial Organization, Springer;The Industrial Organization Society, vol. 63(4), pages 525-544, December.

    Cited by:

    1. Javier D. Donna & Pedro Pereira, 2024. "Structural Presumptions for Non-horizontal Mergers in the 2023 Merger Guidelines: A Primer and a Path Forward," Review of Industrial Organization, Springer;The Industrial Organization Society, vol. 65(1), pages 303-345, August.

  8. Jiaming Zeng & Michael F. Gensheimer & Daniel L. Rubin & Susan Athey & Ross D. Shachter, 2022. "Uncovering interpretable potential confounders in electronic medical records," Nature Communications, Nature, vol. 13(1), pages 1-14, December.
    See citations under working paper version above.
  9. Susan Athey & Juan Camilo Castillo & Esha Chaudhuri & Michael Kremer & Alexandre Simoes Gomes & Christopher M Snyder, 2022. "Expanding capacity for vaccines against Covid-19 and future pandemics: a review of economic issues," Oxford Review of Economic Policy, Oxford University Press and Oxford Review of Economic Policy Limited, vol. 38(4), pages 742-770.
    See citations under working paper version above.
  10. Athey, Susan & Imbens, Guido W., 2022. "Design-based analysis in Difference-In-Differences settings with staggered adoption," Journal of Econometrics, Elsevier, vol. 226(1), pages 62-79.
    See citations under working paper version above.
  11. Susan Athey & Billy Ferguson & Matthew Gentzkow & Tobias Schmidt, 2021. "Estimating experienced racial segregation in US cities using large-scale GPS data," Proceedings of the National Academy of Sciences, Proceedings of the National Academy of Sciences, vol. 118(46), pages 2026160118-, November.
    See citations under working paper version above.
  12. Jake M. Hofman & Duncan J. Watts & Susan Athey & Filiz Garip & Thomas L. Griffiths & Jon Kleinberg & Helen Margetts & Sendhil Mullainathan & Matthew J. Salganik & Simine Vazire & Alessandro Vespignani, 2021. "Integrating explanation and prediction in computational social science," Nature, Nature, vol. 595(7866), pages 181-188, July.

    Cited by:

    1. Oriol J. Bosch & Melanie Revilla, 2022. "When survey science met web tracking: Presenting an error framework for metered data," Journal of the Royal Statistical Society Series A, Royal Statistical Society, vol. 185(S2), pages 408-436, December.
    2. Benjamin W. Domingue & Klint Kanopka & Radhika Kapoor & Steffi Pohl & R. Philip Chalmers & Charles Rahal & Mijke Rhemtulla, 2024. "The InterModel Vigorish as a Lens for Understanding (and Quantifying) the Value of Item Response Models for Dichotomously Coded Items," Psychometrika, Springer;The Psychometric Society, vol. 89(3), pages 1034-1054, September.
    3. Renáta Németh, 2023. "A scoping review on the use of natural language processing in research on political polarization: trends and research prospects," Journal of Computational Social Science, Springer, vol. 6(1), pages 289-313, April.
    4. Ahmed Abbasi & Jeffrey Parsons & Gautam Pant & Olivia R. Liu Sheng & Suprateek Sarker, 2024. "Pathways for Design Research on Artificial Intelligence," Information Systems Research, INFORMS, vol. 35(2), pages 441-459, June.
    5. Dario Sansone & Anna Zhu, 2023. "Using Machine Learning to Create an Early Warning System for Welfare Recipients," Oxford Bulletin of Economics and Statistics, Department of Economics, University of Oxford, vol. 85(5), pages 959-992, October.
    6. Filippo Simini & Gianni Barlacchi & Massimilano Luca & Luca Pappalardo, 2021. "A Deep Gravity model for mobility flows generation," Nature Communications, Nature, vol. 12(1), pages 1-13, December.
    7. Gary Charness & Brian Jabarian & John List, 2023. "Generation Next: Experimentation with AI," Artefactual Field Experiments 00777, The Field Experiments Website.
    8. Malgorzata J. Krawczyk & Mateusz Libirt & Krzysztof Malarz, 2024. "Analysis of scientific cooperation at the international and intercontinental level," Scientometrics, Springer;Akadémiai Kiadó, vol. 129(8), pages 4983-5002, August.
    9. Ari Hyytinen & Petri Rouvinen & Mika Pajarinen & Joosua Virtanen, 2023. "Ex Ante Predictability of Rapid Growth: A Design Science Approach," Entrepreneurship Theory and Practice, , vol. 47(6), pages 2465-2493, November.
    10. Cerqua, Augusto & Letta, Marco, 2022. "Local inequalities of the COVID-19 crisis," Regional Science and Urban Economics, Elsevier, vol. 92(C).
    11. Evangelos Katsamakas, 2024. "Business models for the simulation hypothesis," Papers 2404.08991, arXiv.org.
    12. Nelson P. Rayl & Nitish R. Sinha, 2022. "Integrating Prediction and Attribution to Classify News," Finance and Economics Discussion Series 2022-042, Board of Governors of the Federal Reserve System (U.S.).
    13. Simon Willcock & Javier Martinez-Lopez & Norman Dandy & James M. Bullock, 2021. "High Spatial-Temporal Resolution Data across Large Scales Are Needed to Transform Our Understanding of Ecosystem Services," Land, MDPI, vol. 10(7), pages 1-6, July.
    14. Lu Liu & Benjamin F. Jones & Brian Uzzi & Dashun Wang, 2023. "Data, measurement and empirical methods in the science of science," Nature Human Behaviour, Nature, vol. 7(7), pages 1046-1058, July.
    15. Islam, Towhidul & Meade, Nigel & Carson, Richard T. & Louviere, Jordan J. & Wang, Juan, 2022. "The usefulness of socio-demographic variables in predicting purchase decisions: Evidence from machine learning procedures," Journal of Business Research, Elsevier, vol. 151(C), pages 324-338.
    16. Miguel G. Folgado & Veronica Sanz, 2022. "Exploring the political pulse of a country using data science tools," Journal of Computational Social Science, Springer, vol. 5(1), pages 987-1000, May.
    17. Tavishi Priyam & Tao Ruan & Qin Lv, 2023. "Demographic-Based Public Perception Analysis of Electric Vehicles on Online Social Networks," Sustainability, MDPI, vol. 16(1), pages 1-16, December.
    18. Isabelle Bonhoure & Anna Cigarini & Julián Vicens & Bàrbara Mitats & Josep Perelló, 2023. "Reformulating computational social science with citizen social science: the case of a community-based mental health care research," Palgrave Communications, Palgrave Macmillan, vol. 10(1), pages 1-14, December.
    19. Rory Gibb & Felipe J. Colón-González & Phan Trong Lan & Phan Thi Huong & Vu Sinh Nam & Vu Trong Duoc & Do Thai Hung & Nguyễn Thanh Dong & Vien Chinh Chien & Ly Thi Thuy Trang & Do Kien Quoc & Tran Min, 2023. "Interactions between climate change, urban infrastructure and mobility are driving dengue emergence in Vietnam," Nature Communications, Nature, vol. 14(1), pages 1-15, December.
    20. Salomi Samsudeen & Mohammed Hasan Ali & C. Chandru Vignesh & M. M. Kamruzzaman & Chander Prakash & Tamizharasi Thirugnanam & J. Alfred Daniel, 2023. "Context-specific discussion of Airbnb usage knowledge graphs for improving private social systems," Journal of Combinatorial Optimization, Springer, vol. 45(2), pages 1-30, March.
    21. Grossmann, Igor & Rotella, Amanda A. & Hutcherson, Cendri & Sharpinskyi, Konstantyn & Varnum, Michael E. W. & Achter, Sebastian K. & Dhami, Mandeep & Guo, Xinqi Evie & Kara-Yakoubian, Mane R. & Mandel, 2023. "Insights into the accuracy of social scientists' forecasts of societal change," Other publications TiSEM c14f4a4a-b105-46b3-90f7-f, Tilburg University, School of Economics and Management.
    22. Elizabeth Dolan & James Goulding & Harry Marshall & Gavin Smith & Gavin Long & Laila J. Tata, 2023. "Assessing the value of integrating national longitudinal shopping data into respiratory disease forecasting models," Nature Communications, Nature, vol. 14(1), pages 1-19, December.
    23. Yan, Jason & Hall, Seventy F. & Sage, Melanie & Du, Yuhao & Joseph, Kenneth, 2024. "A computational social science approach to understanding predictors of Chafee service receipt," Children and Youth Services Review, Elsevier, vol. 158(C).

  13. Dmitry Arkhangelsky & Susan Athey & David A. Hirshberg & Guido W. Imbens & Stefan Wager, 2021. "Synthetic Difference-in-Differences," American Economic Review, American Economic Association, vol. 111(12), pages 4088-4118, December.
    See citations under working paper version above.
  14. Susan Athey & Mohsen Bayati & Nikolay Doudchenko & Guido Imbens & Khashayar Khosravi, 2021. "Matrix Completion Methods for Causal Panel Data Models," Journal of the American Statistical Association, Taylor & Francis Journals, vol. 116(536), pages 1716-1730, October.
    See citations under working paper version above.
  15. Susan Athey & Stefan Wager, 2021. "Policy Learning With Observational Data," Econometrica, Econometric Society, vol. 89(1), pages 133-161, January.
    See citations under working paper version above.
  16. Robert Donnelly & Francisco J.R. Ruiz & David Blei & Susan Athey, 2021. "Counterfactual inference for consumer choice across many product categories," Quantitative Marketing and Economics (QME), Springer, vol. 19(3), pages 369-407, December.
    See citations under working paper version above.
  17. Egger, Dennis & Miguel, Edward & Warren, Shana S. & Shenoy, Ashish & Collins, Elliott & Karlan, Dean & Parkerson, Doug & Mobarak, A. Mushfiq & Fink, Günther & Udry, Christopher & Walker, Michael & Hau, 2021. "Falling living standards during the COVID-19 crisis: Quantitative evidence from nine developing countries," EconStor Open Access Articles and Book Chapters, ZBW - Leibniz Information Centre for Economics, vol. 7(6), pages 1-1.
    See citations under working paper version above.
  18. Amrita Ahuja & Susan Athey & Arthur Baker & Eric Budish & Juan Camilo Castillo & Rachel Glennerster & Scott Duke Kominers & Michael Kremer & Jean Lee & Canice Prendergast & Christopher M. Snyder & Ale, 2021. "Preparing for a Pandemic: Accelerating Vaccine Availability," AEA Papers and Proceedings, American Economic Association, vol. 111, pages 331-335, May.
    See citations under working paper version above.
  19. Robert Donnelly & Francisco J. R. Ruiz & David Blei & Susan Athey, 2021. "Correction to: Counterfactual inference for consumer choice across many product categories," Quantitative Marketing and Economics (QME), Springer, vol. 19(3), pages 409-409, December.

    Cited by:

    1. Yiyan Huang & Cheuk Hang Leung & Siyi Wang & Yijun Li & Qi Wu, 2024. "Unveiling the Potential of Robustness in Selecting Conditional Average Treatment Effect Estimators," Papers 2402.18392, arXiv.org, revised Oct 2024.
    2. Adam N. Smith & Stephan Seiler & Ishant Aggarwal, 2023. "Optimal Price Targeting," Marketing Science, INFORMS, vol. 42(3), pages 476-499, May.
    3. Tianyu Du & Ayush Kanodia & Susan Athey, 2023. "Torch-Choice: A PyTorch Package for Large-Scale Choice Modelling with Python," Papers 2304.01906, arXiv.org, revised Jul 2023.
    4. Henrika Langen & Martin Huber, 2022. "How causal machine learning can leverage marketing strategies: Assessing and improving the performance of a coupon campaign," Papers 2204.10820, arXiv.org, revised Jun 2022.
    5. Tatiana de Macedo Nogueira Lima, 2022. "Documento de Trabalho 03/2022 - Aprendizado de máquina e antitruste," Documentos de Trabalho 2022030, Conselho Administrativo de Defesa Econômica (Cade), Departamento de Estudos Econômicos.
    6. Du, Tianyu & Kanodia, Ayush & Brunborg, Herman & Vafa, Keyon & Athey, Susan, 2024. "Labor-LLM: Language-Based Occupational Representations with Large Language Models," Research Papers 4188, Stanford University, Graduate School of Business.
    7. Adam N. Smith & Jim E. Griffin, 2023. "Shrinkage priors for high-dimensional demand estimation," Quantitative Marketing and Economics (QME), Springer, vol. 21(1), pages 95-146, March.

  20. Susan C. Athey & Kevin A. Bryan & Joshua S. Gans, 2020. "The Allocation of Decision Authority to Human and Artificial Intelligence," AEA Papers and Proceedings, American Economic Association, vol. 110, pages 80-84, May.
    See citations under working paper version above.
  21. Alberto Abadie & Susan Athey & Guido W. Imbens & Jeffrey M. Wooldridge, 2020. "Sampling‐Based versus Design‐Based Uncertainty in Regression Analysis," Econometrica, Econometric Society, vol. 88(1), pages 265-296, January.

    Cited by:

    1. Magne Mogstad & Joseph P. Romano & Azeem M. Shaikh & Daniel Wilhelm, 2020. "Inference for Ranks with Applications to Mobility across Neighborhoods and Academic Achievement across Countries," Working Papers 2020-16, Becker Friedman Institute for Research In Economics.
    2. Cl'ement de Chaisemartin & Antoine Deeb, 2024. "Estimating treatment-effect heterogeneity across sites, in multi-site randomized experiments with few units per site," Papers 2405.17254, arXiv.org, revised Dec 2024.
    3. Victor Chernozhukov & Ivan Fernandez-Val & Martin Weidner, 2020. "Network and Panel Quantile Effects Via Distribution Regression," CeMMAP working papers CWP27/20, Centre for Microdata Methods and Practice, Institute for Fiscal Studies.
    4. Ganesh Karapakula & James J. Heckman, 2020. "Using a Satisficing Model of Experimenter Decision-Making to Guide Finite-Sample Inference for Compromised Experiments," NBER Working Papers 27738, National Bureau of Economic Research, Inc.
    5. Young, Alwyn, 2024. "Asymptotically robust permutation-based randomization confidence intervals for parametric OLS regression," LSE Research Online Documents on Economics 120933, London School of Economics and Political Science, LSE Library.
    6. Gabriella Conti & Stavros Poupakis & Peter Ekamper & Govert Bijwaard & L. H. Lumey, 2021. "Severe Prenatal Shocks and Adolescent Health: Evidence from the Dutch Hunger Winter," Working Papers 2021-056, Human Capital and Economic Opportunity Working Group.
    7. Isabel Martinez, 2021. "Beggar-Thy-Neighbour Tax Cuts: Mobility After a Local Income and Wealth Tax Reform in Switzerland," KOF Working papers 21-490, KOF Swiss Economic Institute, ETH Zurich.
    8. Rafaty, R. & Dolphin, G. & Pretis, F., 2020. "Carbon pricing and the elasticity of CO2 emissions," Cambridge Working Papers in Economics 20116, Faculty of Economics, University of Cambridge.
    9. Kafle, Kashi & Songsermsawas, Tisorn & Winters, Paul, 2021. "Decomposing the impacts of an agricultural value chain investment by gender and ethnicity: The case of Nepal," 2021 Annual Meeting, August 1-3, Austin, Texas 313941, Agricultural and Applied Economics Association.
    10. Mari, Gabriele & Keizer, Renske & van Gaalen, Ruben, 2022. "The Timing of Parental Unemployment, Insurance, and Children's Education," SocArXiv 7rm6g, Center for Open Science.
    11. Jose Valderrama & Javier Olivera, 2023. "The effects of social pensions on mortality among the extreme poor elderly," LISER Working Paper Series 2023-05, Luxembourg Institute of Socio-Economic Research (LISER).
    12. Dmitry Arkhangelsky & David Hirshberg, 2023. "Large-Sample Properties of the Synthetic Control Method under Selection on Unobservables," Papers 2311.13575, arXiv.org, revised Dec 2023.
    13. Young, Alwyn, 2024. "Asymptotically robust permutation-based randomization confidence intervals for parametric OLS regression," European Economic Review, Elsevier, vol. 163(C).
    14. Kondylis,Florence & Loeser,John Ashton, 2021. "Intervention Size and Persistence," Policy Research Working Paper Series 9769, The World Bank.
    15. Jonathan Roth & Pedro H. C. Sant’Anna, 2023. "Efficient Estimation for Staggered Rollout Designs," Journal of Political Economy Microeconomics, University of Chicago Press, vol. 1(4), pages 669-709.
    16. Lindo, Jason M. & Swensen, Isaac D. & Waddell, Glen R., 2022. "Effects of violent media content: Evidence from the rise of the UFC," Journal of Health Economics, Elsevier, vol. 83(C).
    17. Praveen Ranjan Srivastava & Prajwal Eachempati & Ajay Kumar & Ashish Kumar Jha & Lalitha Dhamotharan, 2023. "Best strategy to win a match: an analytical approach using hybrid machine learning-clustering-association rule framework," Annals of Operations Research, Springer, vol. 325(1), pages 319-361, June.
    18. Wu, Christopher, 2022. "Should We Trust Regression to Measure Social Disparities?," SocArXiv 4znu5, Center for Open Science.
    19. Sutter, Matthias & Weyland, Michael & Untertrifaller, Anna & Froitzheim, Manuel & Schneider, Sebastian O., 2023. "Financial Literacy, Experimental Preference Measures and Field Behavior – A Randomized Educational Intervention," IZA Discussion Papers 16102, Institute of Labor Economics (IZA).
    20. Damian Clarke & Nicol'as Paris & Benjam'in Villena-Rold'an, 2023. "(Frisch-Waugh-Lovell)': On the Estimation of Regression Models by Row," Papers 2311.15829, arXiv.org.
    21. Bergman, Peter & Kopko, Elizabeth & Rodriguez, Julio, 2021. "Using Predictive Analytics to Track Students: Evidence from a Seven-College Experiment," IZA Discussion Papers 14500, Institute of Labor Economics (IZA).
    22. Gharehgozli, Orkideh, 2021. "An empirical comparison between a regression framework and the Synthetic Control Method," The Quarterly Review of Economics and Finance, Elsevier, vol. 81(C), pages 70-81.
    23. Thiago Christiano Silva & Sergio Rubens Stancato de Souza & Solange Maria Guerra, 2022. "Covid-19 and market power in local credit markets: the role of digitalization," BIS Working Papers 1017, Bank for International Settlements.
    24. Alberini, Anna & Bezhanishvili, Levan & Ščasný, Milan, 2022. "“Wild” tariff schemes: Evidence from the Republic of Georgia," Energy Economics, Elsevier, vol. 110(C).
    25. Matthias Sutter & Michael Weyland & Anna Untertrifaller & Manuel Froitzheim, 2020. "Financial Literacy, Risk and Time Preferences - Results from a Randomized Educational Intervention," CESifo Working Paper Series 8489, CESifo.
    26. Johannes W. Ligtenberg & Tiemen Woutersen, 2024. "Multidimensional clustering in judge designs," Papers 2406.09473, arXiv.org.
    27. Fang Han, 2024. "An Introduction to Permutation Processes (version 0.5)," Papers 2407.09664, arXiv.org.
    28. Martínez, Isabel Z., 2022. "Mobility Responses to the Establishment of a Residential Tax Haven: Evidence From Switzerland," CEPR Discussion Papers 16627, C.E.P.R. Discussion Papers.
    29. Jinglong Zhao, 2023. "Adaptive Neyman Allocation," Papers 2309.08808, arXiv.org, revised Sep 2023.
    30. Laura Derksen & Jason. T Kerwin & Natalia Ordaz Reynoso & Olivier Sterck, 2021. "Appointments: A More Effective Commitment Device for Health Behaviors," CSAE Working Paper Series 2021-13, Centre for the Study of African Economies, University of Oxford.
    31. Silva, Thiago Christiano & Wilhelm, Paulo Victor Berri & Tabak, Benjamin Miranda, 2023. "Trade matters except to war neighbors: The international stock market reaction to 2022 Russia’s invasion of Ukraine," Research in International Business and Finance, Elsevier, vol. 65(C).
    32. Jeffrey D. Michler & Anna Josephson, 2021. "Recent Developments in Inference: Practicalities for Applied Economics," Papers 2107.09736, arXiv.org.
    33. Galvez, Julio & Gambacorta, Leonardo & Mayordomo, Sergio & Serena, Jose Maria, 2021. "Dollar borrowing, firm credit risk, and FX-hedged funding opportunities," Journal of Corporate Finance, Elsevier, vol. 68(C).
    34. Peng Ding, 2020. "The Frisch--Waugh--Lovell Theorem for Standard Errors," Papers 2009.06621, arXiv.org.
    35. Tadao Hoshino & Takahide Yanagi, 2021. "Causal Inference with Noncompliance and Unknown Interference," Papers 2108.07455, arXiv.org, revised Oct 2023.
    36. David M. Ritzwoller & Joseph P. Romano & Azeem M. Shaikh, 2024. "Randomization Inference: Theory and Applications," Papers 2406.09521, arXiv.org.
    37. Ding, Peng, 2021. "The Frisch–Waugh–Lovell theorem for standard errors," Statistics & Probability Letters, Elsevier, vol. 168(C).
    38. Derksen, Laura & Kerwin, Jason & Reynoso, Natalia Ordaz & Sterck, Olivier, 2024. "Healthcare Appointments as Commitment Devices," IZA Discussion Papers 17070, Institute of Labor Economics (IZA).
    39. Johannes Wimmer & Leonhard Vollmer, 2023. "Can Grassroots Organizations Reduce Support for Right-Wing Populism via Social Media?," Rationality and Competition Discussion Paper Series 390, CRC TRR 190 Rationality and Competition.
    40. Zhang, Ling & Berk Saydaliev, Hayot & Ma, Xiaoyu, 2022. "Does green finance investment and technological innovation improve renewable energy efficiency and sustainable development goals," Renewable Energy, Elsevier, vol. 193(C), pages 991-1000.
    41. Startz, Richard & Steigerwald, Douglas G., 2024. "The variance of regression coefficients when the population is finite," Journal of Econometrics, Elsevier, vol. 240(1).
    42. Pfeifer, Gregor & Stockburger, Mirjam, 2023. "The morning after: Prescription-free access to emergency contraceptive pills," Journal of Health Economics, Elsevier, vol. 91(C).
    43. Boone, Claire E & Celhay, Pablo & Gertler, Paul & Gracner, Tadeja & Rodriguez, Josefina, 2022. "How scheduling systems with automated appointment reminders improve health clinic efficiency," Journal of Health Economics, Elsevier, vol. 82(C).
    44. Noelia Bernal & Javier Olivera & Marc Suhrcke, 2024. "The effects of social pensions on nutrition‐related health outcomes of the poor: Quasi‐experimental evidence from Peru," Health Economics, John Wiley & Sons, Ltd., vol. 33(5), pages 971-991, May.
    45. Fabio Santeramo & Dela-Dem Fiankor, 2023. "Revisiting the impact of per-unit duties on agricultural export prices," RSCAS Working Papers 2023/29, European University Institute.
    46. Ashesh Rambachan & Jonathan Roth, 2020. "Design-Based Uncertainty for Quasi-Experiments," Papers 2008.00602, arXiv.org, revised Oct 2024.
    47. Bellocca, Gian Pietro Enzo & Poncela Blanco, Maria Pilar, 2024. "Extreme temperatures and the profitability of large European firms," DES - Working Papers. Statistics and Econometrics. WS 44217, Universidad Carlos III de Madrid. Departamento de Estadística.
    48. Lea Bottmer & Guido Imbens & Jann Spiess & Merrill Warnick, 2021. "A Design-Based Perspective on Synthetic Control Methods," Papers 2101.09398, arXiv.org, revised Jul 2023.
    49. Melvin Vooren & Carla Haelermans & Wim Groot & Henriette Maassen van den Brink, 2022. "Make IT Work: The Labor Market Effects of Information Technology Retraining in the Netherlands," De Economist, Springer, vol. 170(3), pages 323-342, August.
    50. Taskin, Ahmet Ali & Yaman, Firat, 2023. "The effect of branching deregulation on finance wage premium," FAU Discussion Papers in Economics 08/2023, Friedrich-Alexander University Erlangen-Nuremberg, Institute for Economics.
    51. Ying Jin & Dominik Rothenhäusler, 2024. "Tailored inference for finite populations: conditional validity and transfer across distributions," Biometrika, Biometrika Trust, vol. 111(1), pages 215-233.
    52. Ruonan Xu & Jeffrey M. Wooldridge, 2022. "A Design-Based Approach to Spatial Correlation," Papers 2211.14354, arXiv.org.
    53. Rami V. Tabri & Mathew J. Elias, 2024. "Testing for Restricted Stochastic Dominance under Survey Nonresponse with Panel Data: Theory and an Evaluation of Poverty in Australia," Papers 2406.15702, arXiv.org.
    54. Tymon Słoczyński, 2022. "Interpreting OLS Estimands When Treatment Effects Are Heterogeneous: Smaller Groups Get Larger Weights," The Review of Economics and Statistics, MIT Press, vol. 104(3), pages 501-509, May.
    55. Claire E. Boone & Pablo A. Celhay & Paul Gertler & Tadeja Gracner, 2023. "Encouraging Preventative Care to Manage Chronic Disease at Scale," NBER Working Papers 31643, National Bureau of Economic Research, Inc.
    56. Han, Kevin & Basse, Guillaume & Bojinov, Iavor, 2024. "Population interference in panel experiments," Journal of Econometrics, Elsevier, vol. 238(1).
    57. Thiago Christiano Silva & Carlos Eduardo de Almeida & Solange Maria Guerra & Benjamin Miranda Tabak, 2024. "COVID-19 and Credit Reallocation: evidence from bank branch lending in Brazil," Working Papers Series 601, Central Bank of Brazil, Research Department.
    58. Griffith, Alan & Noonen, Thomas, 2022. "The effects of public campaign funding: Evidence from Seattle’s Democracy Voucher program," Journal of Public Economics, Elsevier, vol. 211(C).
    59. Thiago Christiano Silva & Carlos Eduardo de Almeida, 2024. "COVID-19 and Supply Chain Disruptions: a novel perspective using a network of payments in Brazil," Working Papers Series 595, Central Bank of Brazil, Research Department.
    60. Aaron Adalja & Erik Lichtenberg & Elina T. Page, 2023. "Collective investment in a common pool resource: Grower associations and food safety guidelines," American Journal of Agricultural Economics, John Wiley & Sons, vol. 105(1), pages 144-173, January.
    61. Ozler,Berk & Celik,Cigdem & Cunningham,Scott & Cuevas,Pablo Facundo & Parisotto,Luca, 2020. "Children on the Move : Progressive Redistribution of Humanitarian Cash Transfers among Refugees," Policy Research Working Paper Series 9471, The World Bank.
    62. Pedro Pita Barros, 2022. "Quality decreases from introducing patient choice in a National Health Service," Portuguese Economic Journal, Springer;Instituto Superior de Economia e Gestao, vol. 21(3), pages 351-381, September.
    63. George Gui & Harikesh Nair & Fengshi Niu, 2021. "Auction Throttling and Causal Inference of Online Advertising Effects," Papers 2112.15155, arXiv.org, revised Feb 2022.
    64. Aurélia Buchs & Nils Soguel, 2022. "Fiscal performance and the re-election of finance ministers–evidence from the Swiss cantons," Public Choice, Springer, vol. 191(1), pages 31-49, April.
    65. Denteh, Augustine & Asare, Samuel & Senadza, Bernardin, 2022. "Is four better than three? The effect of the 4-year high school policy on academic performance in Ghana," SocArXiv jh9q6, Center for Open Science.
    66. Hollenbach, Florian M & Egerod, Benjamin, 2024. "How many is enough? Sample Size in Staggered Difference-in-Differences Designs," OSF Preprints ac5ru, Center for Open Science.
    67. Mohamed Abouaziza, 2022. "Farmer constraints and relational contracts: evidence from agricultural value chains in East Africa," Economics PhD Theses 0122, Department of Economics, University of Sussex Business School.
    68. Fidjeland, Andreas & Rege, Mari & Solli, Ingeborg F. & Størksen, Ingunn, 2023. "Reducing the gender gap in early learning: Evidence from a field experiment in Norwegian preschools," European Economic Review, Elsevier, vol. 154(C).
    69. Haoge Chang, 2023. "Design-based Estimation Theory for Complex Experiments," Papers 2311.06891, arXiv.org.
    70. Ganesh Karapakula, 2023. "Stable Probability Weighting: Large-Sample and Finite-Sample Estimation and Inference Methods for Heterogeneous Causal Effects of Multivalued Treatments Under Limited Overlap," Papers 2301.05703, arXiv.org, revised Jan 2023.
    71. Jiafeng Chen, 2024. "Potential weights and implicit causal designs in linear regression," Papers 2407.21119, arXiv.org, revised Jan 2025.
    72. Thiago Christiano Silva & Sergio Rubens Stancato de Souza & Solange Maria Guerra, 2021. "COVID-19 and Local Market Power in Credit Markets," Working Papers Series 558, Central Bank of Brazil, Research Department.
    73. Jinglong Zhao, 2024. "Experimental Design For Causal Inference Through An Optimization Lens," Papers 2408.09607, arXiv.org, revised Aug 2024.
    74. Sam Sims & Jake Anders & Matthew Inglis & Hugues Lortie-Forgues & Ben Styles & Ben Weidmann, 2023. "Experimental education research: rethinking why, how and when to use random assignment," CEPEO Working Paper Series 23-07, UCL Centre for Education Policy and Equalising Opportunities, revised Aug 2023.
    75. Justin Contat & William M. Doerner & Robert N. Renner & Malcolm J. Rogers, 2024. "Measuring Price Effects from Disasters using Public Data: A Case Study of Hurricane Ian," FHFA Staff Working Papers 24-04, Federal Housing Finance Agency.
    76. Dmitry Arkhangelsky & Guido Imbens, 2023. "Causal Models for Longitudinal and Panel Data: A Survey," Papers 2311.15458, arXiv.org, revised Jun 2024.
    77. Silva, Thiago Christiano & Wilhelm, Paulo Victor Berri & Tabak, Benjamin Miranda, 2022. "The role of non-critical business and telework propensity in international stock markets during the COVID-19 pandemic," Journal of International Financial Markets, Institutions and Money, Elsevier, vol. 79(C).
    78. Roth, Jonathan & Sant’Anna, Pedro H.C. & Bilinski, Alyssa & Poe, John, 2023. "What’s trending in difference-in-differences? A synthesis of the recent econometrics literature," Journal of Econometrics, Elsevier, vol. 235(2), pages 2218-2244.
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    80. Silva, Thiago Christiano & de Souza, Sergio Rubens Stancato & Guerra, Solange Maria & Tabak, Benjamin Miranda, 2023. "COVID-19 and bank branch lending: The moderating effect of digitalization," Journal of Banking & Finance, Elsevier, vol. 152(C).
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  22. Abraham, Ittai & Athey, Susan & Babaioff, Moshe & Grubb, Michael D., 2020. "Peaches, lemons, and cookies: Designing auction markets with dispersed information," Games and Economic Behavior, Elsevier, vol. 124(C), pages 454-477.

    Cited by:

    1. Veronica Marotta & Yue Wu & Kaifu Zhang & Alessandro Acquisti, 2022. "The Welfare Impact of Targeted Advertising Technologies," Information Systems Research, INFORMS, vol. 33(1), pages 131-151, March.
    2. Dominic Coey & Bradley J. Larsen & Kane Sweeney & Caio Waisman, 2021. "Scalable Optimal Online Auctions," Marketing Science, INFORMS, vol. 40(4), pages 593-618, July.
    3. Flavio Pino, 2022. "The microeconomics of data – a survey," Economia e Politica Industriale: Journal of Industrial and Business Economics, Springer;Associazione Amici di Economia e Politica Industriale, vol. 49(3), pages 635-665, September.
    4. McClellan, Andrew, 2023. "Knowing your opponents: Information disclosure and auction design," Games and Economic Behavior, Elsevier, vol. 140(C), pages 173-180.

  23. Susan Athey & Guido W. Imbens, 2019. "Machine Learning Methods That Economists Should Know About," Annual Review of Economics, Annual Reviews, vol. 11(1), pages 685-725, August.

    Cited by:

    1. Combes, Pierre-Philippe & Gobillon, Laurent & Zylberberg, Yanos, 2022. "Urban economics in a historical perspective: Recovering data with machine learning," Regional Science and Urban Economics, Elsevier, vol. 94(C).
    2. Xu, Mengjie & Li, Xiang & Li, Qianwen & Sun, Chuanwang, 2024. "LNBi-GRU model for coal price prediction and pattern recognition analysis," Applied Energy, Elsevier, vol. 365(C).
    3. Nicolas Gavoille & Anna Zasova, 2021. "What we pay in the shadows: Labor tax evasion, minimum wage hike and employment," SSE Riga/BICEPS Research Papers 6, Baltic International Centre for Economic Policy Studies (BICEPS);Stockholm School of Economics in Riga (SSE Riga).
    4. John Aoga & Juhee Bae & Stefanija Veljanoska & Siegfried Nijssen & Pierre Schaus, 2020. "Impact of weather factors on migration intention using machine learning algorithms," Papers 2012.02794, arXiv.org.
    5. Blankenship, Brian & Aklin, Michaël & Urpelainen, Johannes & Nandan, Vagisha, 2022. "Jobs for a just transition: Evidence on coal job preferences from India," Energy Policy, Elsevier, vol. 165(C).
    6. Matthew A Cole & Robert J R Elliott & Bowen Liu, 2020. "The Impact of the Wuhan Covid-19 Lockdown on Air Pollution and Health: A Machine Learning and Augmented Synthetic Control Approach," Discussion Papers 20-09, Department of Economics, University of Birmingham.
    7. Andrii Babii & Xi Chen & Eric Ghysels & Rohit Kumar, 2020. "Binary Choice with Asymmetric Loss in a Data-Rich Environment: Theory and an Application to Racial Justice," Papers 2010.08463, arXiv.org, revised Nov 2021.
    8. Giacomo De Giorgi & Costanza Naguib, 2022. "Life after Default: Credit Hardship and its Effects," Diskussionsschriften dp2206, Universitaet Bern, Departement Volkswirtschaft.
    9. Tsang, Andrew, 2021. "Uncovering Heterogeneous Regional Impacts of Chinese Monetary Policy," WiSo-HH Working Paper Series 62, University of Hamburg, Faculty of Business, Economics and Social Sciences, WISO Research Laboratory.
    10. James Ming Chen, 2021. "An Introduction to Machine Learning for Panel Data," International Advances in Economic Research, Springer;International Atlantic Economic Society, vol. 27(1), pages 1-16, February.
    11. Sophie-Charlotte Klose & Johannes Lederer, 2020. "A Pipeline for Variable Selection and False Discovery Rate Control With an Application in Labor Economics," Papers 2006.12296, arXiv.org, revised Jun 2020.
    12. Gallego, J & Rivero, G & Martínez, J.D., 2018. "Preventing rather than Punishing: An Early Warning Model of Malfeasance in Public Procurement," Documentos de Trabajo 16724, Universidad del Rosario.
    13. Maria S. Mavillonio, 2024. "Textual Representation of Business Plans and Firm Success," Discussion Papers 2024/308, Dipartimento di Economia e Management (DEM), University of Pisa, Pisa, Italy.
    14. Ravi Kumar & Shahin Boluki & Karl Isler & Jonas Rauch & Darius Walczak, 2022. "Machine Learning based Framework for Robust Price-Sensitivity Estimation with Application to Airline Pricing," Papers 2205.01875, arXiv.org, revised Dec 2022.
    15. Kyle Colangelo & Ying-Ying Lee, 2019. "Double debiased machine learning nonparametric inference with continuous treatments," CeMMAP working papers CWP54/19, Centre for Microdata Methods and Practice, Institute for Fiscal Studies.
    16. Stefania Albanesi & Domonkos F. Vamossy, 2024. "Credit Scores: Performance and Equity," NBER Working Papers 32917, National Bureau of Economic Research, Inc.
    17. Paolo Brunori & Pedro Salas-Rojo & Paolo Verme, 2022. "Estimating Inequality with Missing Incomes," Working Papers 616, ECINEQ, Society for the Study of Economic Inequality.
    18. Lidia Ceriani & Vladimir Hlasny & Paolo Verme, 2021. "Bottom Incomes and the Measurement of Poverty: A Brief Assessment of the Literature," Working Papers 589, ECINEQ, Society for the Study of Economic Inequality.
    19. Jau-er Chen & Chen-Wei Hsiang, 2019. "Causal Random Forests Model Using Instrumental Variable Quantile Regression," Econometrics, MDPI, vol. 7(4), pages 1-22, December.
    20. Zhang, Qin & Ni, He & Xu, Hao, 2023. "Nowcasting Chinese GDP in a data-rich environment: Lessons from machine learning algorithms," Economic Modelling, Elsevier, vol. 122(C).
    21. Melissa Dell, 2024. "Deep Learning for Economists," Papers 2407.15339, arXiv.org, revised Nov 2024.
    22. Horky, Florian & Rachel, Carolina & Fidrmuc, Jarko, 2022. "Price determinants of non-fungible tokens in the digital art market," Finance Research Letters, Elsevier, vol. 48(C).
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    24. Leonardo Cei & Edi Defrancesco & Gianluca Stefani, 2022. "What topic modelling can show about the development of agricultural economics: evidence from the Journal Citation Report category top journals," European Review of Agricultural Economics, Oxford University Press and the European Agricultural and Applied Economics Publications Foundation, vol. 49(2), pages 289-330.
    25. Akash Malhotra, 2021. "A hybrid econometric–machine learning approach for relative importance analysis: prioritizing food policy," Eurasian Economic Review, Springer;Eurasia Business and Economics Society, vol. 11(3), pages 549-581, September.
    26. Massimiliano Caporin & Mikhail Stolbov & Maria Shchepeleva, 2022. "What drives the expansion of research on banking crises? Cross-country evidence," Applied Economics, Taylor & Francis Journals, vol. 54(52), pages 6054-6064, November.
    27. Hector F. Calvo-Pardo & Tullio Mancini & Jose Olmo, 2020. "Neural Network Models for Empirical Finance," JRFM, MDPI, vol. 13(11), pages 1-22, October.
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    30. Paolo Verme, 2020. "Which Model for Poverty Predictions?," Working Papers 521, ECINEQ, Society for the Study of Economic Inequality.
    31. Mehmet Güney Celbiş & Pui‐hang Wong & Karima Kourtit & Peter Nijkamp, 2023. "Impacts of the COVID‐19 outbreak on older‐age cohorts in European Labor Markets: A machine learning exploration of vulnerable groups," Regional Science Policy & Practice, Wiley Blackwell, vol. 15(3), pages 559-584, April.
    32. Daniel Goller, 2020. "Analysing a built-in advantage in asymmetric darts contests using causal machine learning," Papers 2008.07165, arXiv.org.
    33. Goller, Daniel & Harrer, Tamara & Lechner, Michael & Wolff, Joachim, 2021. "Active labour market policies for the long-term unemployed: New evidence from causal machine learning," Economics Working Paper Series 2108, University of St. Gallen, School of Economics and Political Science.
    34. Kyle Colangelo & Ying-Ying Lee, 2020. "Double Debiased Machine Learning Nonparametric Inference with Continuous Treatments," Papers 2004.03036, arXiv.org, revised Sep 2023.
    35. Byron Botha & Rulof Burger & Kevin Kotze & Neil Rankin & Daan Steenkamp, 2022. "Big data forecasting of South African inflation," School of Economics Macroeconomic Discussion Paper Series 2022-03, School of Economics, University of Cape Town.
    36. Cockx, Bart & Lechner, Michael & Bollens, Joost, 2020. "Priority to unemployed immigrants? A causal machine learning evaluation of training in Belgium," ROA Research Memorandum 006, Maastricht University, Research Centre for Education and the Labour Market (ROA).
    37. Dang, Hai-Anh H & Kilic, Talip & Abanokova, Kseniya & Carletto, Calogero, 2024. "Imputing Poverty Indicators without Consumption Data: An Exploratory Analysis," IZA Discussion Papers 17136, Institute of Labor Economics (IZA).
    38. Julien Chevallier & Dominique Guégan & Stéphane Goutte, 2021. "Is It Possible to Forecast the Price of Bitcoin?," Université Paris1 Panthéon-Sorbonne (Post-Print and Working Papers) halshs-04250269, HAL.
    39. Sebastian Galiani & Juan Pantano, 2021. "Structural Models: Inception and Frontier," NBER Working Papers 28698, National Bureau of Economic Research, Inc.
    40. Carlos Mendez, 2019. "Lack of Global Convergence and the Formation of Multiple Welfare Clubs across Countries: An Unsupervised Machine Learning Approach," Economies, MDPI, vol. 7(3), pages 1-17, July.
    41. de Blasio, Guido & D'Ignazio, Alessio & Letta, Marco, 2022. "Gotham city. Predicting ‘corrupted’ municipalities with machine learning," Technological Forecasting and Social Change, Elsevier, vol. 184(C).
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    43. Gabriel Okasa, 2022. "Meta-Learners for Estimation of Causal Effects: Finite Sample Cross-Fit Performance," Papers 2201.12692, arXiv.org.
    44. Zhang, Han, 2021. "How Using Machine Learning Classification as a Variable in Regression Leads to Attenuation Bias and What to Do About It," SocArXiv 453jk, Center for Open Science.
    45. Douglas Kiarelly Godoy de Araujo, 2024. "Synthetic controls with machine learning: application on the effect of labour deregulation on worker productivity in Brazil," BIS Working Papers 1181, Bank for International Settlements.
    46. Yamin Ahmad & Adam Check & Ming Chien Lo, 2024. "Unit Roots in Macroeconomic Time Series: A Comparison of Classical, Bayesian and Machine Learning Approaches," Computational Economics, Springer;Society for Computational Economics, vol. 63(6), pages 2139-2173, June.
    47. Gert Bijnens & Shyngys Karimov & Jozef Konings, 2023. "Does Automatic Wage Indexation Destroy Jobs? A Machine Learning Approach," De Economist, Springer, vol. 171(1), pages 85-117, March.
    48. Augustine Denteh & Helge Liebert, 2022. "Who Increases Emergency Department Use? New Insights from the Oregon Health Insurance Experiment," CESifo Working Paper Series 9664, CESifo.
    49. Yiyi Huo & Yingying Fan & Fang Han, 2023. "On the adaptation of causal forests to manifold data," Papers 2311.16486, arXiv.org, revised Dec 2023.
    50. Guido de Blasio & Alessio D'Ignazio & Marco Letta, 2020. "Predicting Corruption Crimes with Machine Learning. A Study for the Italian Municipalities," Working Papers 16/20, Sapienza University of Rome, DISS.
    51. Andres, Antonio Rodriguez & Otero, Abraham & Amavilah, Voxi Heinrich, 2021. "Evaluation of technology clubs by clustering: A cautionary note," MPRA Paper 109138, University Library of Munich, Germany.
    52. Michael C. Knaus, 2020. "Double Machine Learning based Program Evaluation under Unconfoundedness," Papers 2003.03191, arXiv.org, revised Jun 2022.
    53. Lundberg, Ian & Brand, Jennie E. & Jeon, Nanum, 2022. "Researcher reasoning meets computational capacity: Machine learning for social science," SocArXiv s5zc8, Center for Open Science.
    54. Sonan Memon, 2021. "Machine Learning for Economists: An Introduction," The Pakistan Development Review, Pakistan Institute of Development Economics, vol. 60(2), pages 201-211.
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    56. TELLO, Mario D., 2024. "Inversión Pública En Infraestructura Y Crecimiento Regional En Perú, 2005-2020: Un Análisis Basado En Técnicas De Aprendizaje Automático Causal," Regional and Sectoral Economic Studies, Euro-American Association of Economic Development, vol. 24(2), pages 195-222.
    57. Uguccioni, James, 2022. "The long-run effects of parental unemployment in childhood," CLEF Working Paper Series 45, Canadian Labour Economics Forum (CLEF), University of Waterloo.
    58. Günter J. Hitsch & Sanjog Misra & Walter W. Zhang, 2024. "Heterogeneous treatment effects and optimal targeting policy evaluation," Quantitative Marketing and Economics (QME), Springer, vol. 22(2), pages 115-168, June.
    59. Nils-Gunnar Birkeland Abrahamsen & Emil Nylén-Forthun & Mats Møller & Petter Eilif de Lange & Morten Risstad, 2024. "Financial Distress Prediction in the Nordics: Early Warnings from Machine Learning Models," JRFM, MDPI, vol. 17(10), pages 1-23, September.
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    61. Andrei Dubovik & Adam Elbourne & Bram Hendriks & Mark Kattenberg, 2022. "Forecasting World Trade Using Big Data and Machine Learning Techniques," CPB Discussion Paper 441, CPB Netherlands Bureau for Economic Policy Analysis.
    62. Chen, Liang & Dolado, Juan J. & Gonzalo, Jesús, 2020. "Quantile Factor Models," IZA Discussion Papers 13870, Institute of Labor Economics (IZA).
    63. Costola, Michele & Hinz, Oliver & Nofer, Michael & Pelizzon, Loriana, 2023. "Machine learning sentiment analysis, COVID-19 news and stock market reactions," Research in International Business and Finance, Elsevier, vol. 64(C).
    64. Joshua B. Gilbert & Zachary Himmelsbach & James Soland & Mridul Joshi & Benjamin W. Domingue, 2024. "Estimating Heterogeneous Treatment Effects with Item-Level Outcome Data: Insights from Item Response Theory," Papers 2405.00161, arXiv.org, revised Jan 2025.
    65. Vladimir Hlasny & Lidia Ceriani & Paolo Verme, 2020. "Bottom Incomes and the Measurement of Poverty and Inequality," Working Papers 1393, Economic Research Forum, revised 20 Apr 2020.
    66. Tejas Ramdas & Martin T. Wells, 2024. "Bellwether Trades: Characteristics of Trades influential in Predicting Future Price Movements in Markets," Papers 2409.05192, arXiv.org.
    67. Levy, Daniel & Mayer, Tamir & Raviv, Alon, 2022. "Economists in the 2008 Financial Crisis: Slow to See, Fast to Act," EconStor Open Access Articles and Book Chapters, ZBW - Leibniz Information Centre for Economics, issue Forthcomi.
    68. Lee, Wang-Sheng & Tran, Trang My & Yu, Lamont Bo, 2023. "Green infrastructure and air pollution: Evidence from highways connecting two megacities in China," Journal of Environmental Economics and Management, Elsevier, vol. 122(C).
    69. Colak, Gonul & Fu, Mengchuan & Hasan, Iftekhar, 2022. "On modeling IPO failure risk," Economic Modelling, Elsevier, vol. 109(C).
    70. Wang Guan-Yuan, 2021. "The Brand Effect: A Case Study in Taiwan Second-Hand Smartphone Market," Journal of Social and Economic Statistics, Sciendo, vol. 10(1-2), pages 30-42, December.
    71. Gavoille, Nicolas & Zasova, Anna, 2023. "What we pay in the shadows: Labor tax evasion, minimum wage hike and employment," Journal of Public Economics, Elsevier, vol. 228(C).
    72. Delprato, Marcos & Frola, Alessia & Antequera, Germán, 2022. "Indigenous and non-Indigenous proficiency gaps for out-of-school and in-school populations: A machine learning approach," International Journal of Educational Development, Elsevier, vol. 93(C).
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    75. Kyle Colangelo & Ying-Ying Lee, 2019. "Double debiased machine learning nonparametric inference with continuous treatments," CeMMAP working papers CWP72/19, Centre for Microdata Methods and Practice, Institute for Fiscal Studies.
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    77. Dario Sansone & Anna Zhu, 2023. "Using Machine Learning to Create an Early Warning System for Welfare Recipients," Oxford Bulletin of Economics and Statistics, Department of Economics, University of Oxford, vol. 85(5), pages 959-992, October.
    78. Adam N. Smith & Stephan Seiler & Ishant Aggarwal, 2023. "Optimal Price Targeting," Marketing Science, INFORMS, vol. 42(3), pages 476-499, May.
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    80. Brown, David P. & Cajueiro, Daniel O. & Eckert, Andrew & Silveira, Douglas, 2023. "Information and Transparency: Using Machine Learning to Detect Communication," Working Papers 2023-6, University of Alberta, Department of Economics.
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    82. Hazar Altınbaş & Vincenzo Pacelli & Edgardo Sica, 2022. "An Empirical Assessment of the Contagion Determinants in the Euro Area in a Period of Sovereign Debt Risk," Italian Economic Journal: A Continuation of Rivista Italiana degli Economisti and Giornale degli Economisti, Springer;Società Italiana degli Economisti (Italian Economic Association), vol. 8(2), pages 339-371, July.
    83. Dang, Hai-Anh H & Kilic, Talip & Abanokova, Kseniya & Carletto, Calogero, 2023. "Poverty Imputation in Contexts without Consumption Data: A Revisit with Further Refinements," IZA Discussion Papers 15873, Institute of Labor Economics (IZA).
    84. Andrew Tsang, 2024. "Uncovering heterogeneous regional impacts of Chinese monetary policy," Empirical Economics, Springer, vol. 67(3), pages 915-940, September.
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    87. Erokhin, Dmitry & Zagler, Martin, 2024. "Who will sign a double tax treaty next? A prediction based on economic determinants and machine learning algorithms," Economic Modelling, Elsevier, vol. 139(C).
    88. Daniel Goller & Andrea Diem & Stefan C. Wolter, 2022. "Sitting next to a dropout: Study success of students with peers that came to the lecture hall by a different route," Economics of Education Working Paper Series 0190, University of Zurich, Department of Business Administration (IBW).
    89. Hurley, James & Karmakar, Sudipto & Markoska, Elena & Walczak, Eryk & Walker, Danny, 2021. "Impacts of the Covid-19 crisis: evidence from 2 million UK SMEs," Bank of England working papers 924, Bank of England.
    90. Enzo Brox & Michael Lechner, 2024. "Teamwork and Spillover Effects in Performance Evaluations," Papers 2403.15200, arXiv.org.
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    246. Jau-er Chen & Chien-Hsun Huang & Jia-Jyun Tien, 2019. "Debiased/Double Machine Learning for Instrumental Variable Quantile Regressions," Papers 1909.12592, arXiv.org, revised Feb 2021.
    247. Chen, Ya & Tsionas, Mike G. & Zelenyuk, Valentin, 2021. "LASSO+DEA for small and big wide data," Omega, Elsevier, vol. 102(C).
    248. António Bento Caleiro, 2021. "Learning to Classify the Consumer Confidence Indicator (in Portugal)," Economies, MDPI, vol. 9(3), pages 1-12, September.
    249. Daniel Wochner, 2020. "Dynamic Factor Trees and Forests – A Theory-led Machine Learning Framework for Non-Linear and State-Dependent Short-Term U.S. GDP Growth Predictions," KOF Working papers 20-472, KOF Swiss Economic Institute, ETH Zurich.
    250. Hiroyuki Egami & Md. Shafiur Rahman & Tsuyoshi Yamamoto & Chihiro Egami & Takahisa Wakabayashi, 2024. "Causal effect of video gaming on mental well-being in Japan 2020–2022," Nature Human Behaviour, Nature, vol. 8(10), pages 1943-1956, October.
    251. David Glynn & John Giardina & Julia Hatamyar & Ankur Pandya & Marta Soares & Noemi Kreif, 2024. "Integrating decision modeling and machine learning to inform treatment stratification," Health Economics, John Wiley & Sons, Ltd., vol. 33(8), pages 1772-1792, August.
    252. Dang, Hai-Anh & Carletto, Calogero & Gourlay, Sydney & Abanokova, Kseniya, 2024. "Addressing Soil Quality Data Gaps with Imputation: Evidence from Ethiopia and Uganda," GLO Discussion Paper Series 1445, Global Labor Organization (GLO).
    253. Joshua Lanier & Jeremy Large & John Quah, 2022. "Estimating very large demand systems," Economics Series Working Papers 998, University of Oxford, Department of Economics.
    254. Arthur Charpentier & Romuald Élie & Carl Remlinger, 2023. "Reinforcement Learning in Economics and Finance," Computational Economics, Springer;Society for Computational Economics, vol. 62(1), pages 425-462, June.
    255. Kawata, Keisuke & Nakabayashi, Masaki, 2023. "Persistent mind: The effects of information provision on policy preferences," Journal of Policy Modeling, Elsevier, vol. 45(3), pages 522-537.
    256. Andrew J. Patton & Yasin Simsek, 2023. "Generalized Autoregressive Score Trees and Forests," Papers 2305.18991, arXiv.org.
    257. Bas Bosma & Arjen Witteloostuijn, 2024. "Machine learning in international business," Journal of International Business Studies, Palgrave Macmillan;Academy of International Business, vol. 55(6), pages 676-702, August.
    258. Barzin,Samira & Avner,Paolo & Maruyama Rentschler,Jun Erik & O’Clery,Neave, 2022. "Where Are All the Jobs ? A Machine Learning Approach for High Resolution Urban Employment Prediction inDeveloping Countries," Policy Research Working Paper Series 9979, The World Bank.
    259. De Lombaerde, Philippe & Naeher, Dominik & Vo, Hung Trung & Saber, Takfarinas, 2023. "Regional economic integration and machine learning: Policy insights from the review of literature," Journal of Policy Modeling, Elsevier, vol. 45(5), pages 1077-1097.
    260. Falco J. Bargagli Stoffi & Kenneth De Beckker & Joana E. Maldonado & Kristof De Witte, 2021. "Assessing Sensitivity of Machine Learning Predictions.A Novel Toolbox with an Application to Financial Literacy," Papers 2102.04382, arXiv.org.
    261. Carlos Fern'andez-Lor'ia & Foster Provost & Jesse Anderton & Benjamin Carterette & Praveen Chandar, 2020. "A Comparison of Methods for Treatment Assignment with an Application to Playlist Generation," Papers 2004.11532, arXiv.org, revised Apr 2022.
    262. Tanner Regan & Giorgio Chiovelli & Stelios Michalopoulos & Elias Papaioannou, 2023. "Illuminating Africa?," Working Papers 2023-11, The George Washington University, Institute for International Economic Policy.
    263. Hanauer, Matthias X. & Kononova, Marina & Rapp, Marc Steffen, 2022. "Boosting agnostic fundamental analysis: Using machine learning to identify mispricing in European stock markets," Finance Research Letters, Elsevier, vol. 48(C).
    264. Herrera, Gabriel Paes & Constantino, Michel & Su, Jen-Je & Naranpanawa, Athula, 2023. "The use of ICTs and income distribution in Brazil: A machine learning explanation using SHAP values," Telecommunications Policy, Elsevier, vol. 47(8).
    265. Baird, Sarah & Panlilio, Raphael & Seager, Jennifer & Smith, Stephanie & Wydick, Bruce, 2022. "Identifying psychological trauma among Syrian refugee children for early intervention: Analyzing digitized drawings using machine learning," Journal of Development Economics, Elsevier, vol. 156(C).
    266. Vamossy, Domonkos F., 2021. "Investor emotions and earnings announcements," Journal of Behavioral and Experimental Finance, Elsevier, vol. 30(C).
    267. Sun, Chuanwang & Xu, Mengjie & Wang, Bo, 2024. "Deep learning: Spatiotemporal impact of digital economy on energy productivity," Renewable and Sustainable Energy Reviews, Elsevier, vol. 199(C).
    268. Raval, Devesh & Rosenbaum, Ted & Wilson, Nathan E., 2021. "How do machine learning algorithms perform in predicting hospital choices? evidence from changing environments," Journal of Health Economics, Elsevier, vol. 78(C).
    269. Lionel Fontagn'e & Francesca Micocci & Armando Rungi, 2024. "The heterogeneous impact of the EU-Canada agreement with causal machine learning," Papers 2407.07652, arXiv.org, revised Jul 2024.
    270. Lily Davies & Mark Kattenberg & Benedikt Vogt, 2023. "Predicting Firm Exits with Machine Learning: Implications for Selection into COVID-19 Support and Productivity Growth," CPB Discussion Paper 444, CPB Netherlands Bureau for Economic Policy Analysis.
    271. Jianghong Xu & Chenguang Wang & Xukang Yin & Weixin Wang, 2024. "Digital economy and rural household resilience: Evidence from China," Agricultural Economics, Czech Academy of Agricultural Sciences, vol. 70(5), pages 244-263.
    272. Ballestar, María Teresa & García-Lazaro, Aida & Sainz, Jorge & Sanz, Ismael, 2022. "Why is your company not robotic? The technology and human capital needed by firms to become robotic," Journal of Business Research, Elsevier, vol. 142(C), pages 328-343.
    273. Brown, David P. & Eckert, Andrew & Silveira, Douglas, 2023. "Screening for collusion in wholesale electricity markets: A literature review," Utilities Policy, Elsevier, vol. 85(C).
    274. Viviano, Davide & Bradic, Jelena, 2023. "Synthetic Learner: Model-free inference on treatments over time," Journal of Econometrics, Elsevier, vol. 234(2), pages 691-713.
    275. Dey, Asim K. & Hoque, G.M. Toufiqul & Das, Kumer P. & Panovska, Irina, 2022. "Impacts of COVID-19 local spread and Google search trend on the US stock market," Physica A: Statistical Mechanics and its Applications, Elsevier, vol. 589(C).
    276. Ya Chen & Mike Tsionas & Valentin Zelenyuk, 2020. "LASSO DEA for small and big data," CEPA Working Papers Series WP022020, School of Economics, University of Queensland, Australia.
    277. Morales-Oñate, Víctor & Morales-Oñate, Bolívar, 2024. "Cluster Evolution Analytics," MPRA Paper 120220, University Library of Munich, Germany.
    278. Domonkos F. Vamossy, 2023. "Social Media Emotions and IPO Returns," Papers 2306.12602, arXiv.org, revised Apr 2024.
    279. Abhinav Garg & Naman Shukla & Lavanya Marla & Sriram Somanchi, 2021. "Distribution Shift in Airline Customer Behavior during COVID-19," Papers 2111.14938, arXiv.org, revised Dec 2021.
    280. Friess, Svenja & Rosendahl Huber, Laura, 2024. "Breaking The Ice: Can Initially Active Peers Improve Platform Engagement And Persistence?," VfS Annual Conference 2024 (Berlin): Upcoming Labor Market Challenges 302443, Verein für Socialpolitik / German Economic Association.
    281. Juan Pablo Atal & Hanming Fang & Martin Karlsson & Nicolas R. Ziebarth, 2020. "German Long-Term Health Insurance: Theory Meets Evidence," NBER Working Papers 26870, National Bureau of Economic Research, Inc.
    282. Xie, Wen-Jie & Li, Mu-Yao & Zhou, Wei-Xing, 2021. "Learning representation of stock traders and immediate price impacts," Emerging Markets Review, Elsevier, vol. 48(C).
    283. Gabriel Loumeau & Christian Stettler, 2021. "Fiscal Autonomy and Self-Determination," CESifo Working Paper Series 9445, CESifo.
    284. Wagenmakers, Eric-Jan & Sarafoglou, Alexandra & Aarts, Sil Dr. & Albers, Casper J & Algermissen, Johannes & Bahník, Štěpán & van Dongen, Noah N'Djaye Nikolai & Hoekstra, Rink & Moreau, David & van Rav, 2021. "Toward More Transparency in Statistical Practice," MetaArXiv t93cg, Center for Open Science.
    285. Smeele, Nicholas V.R. & Chorus, Caspar G. & Schermer, Maartje H.N. & de Bekker-Grob, Esther W., 2023. "Towards machine learning for moral choice analysis in health economics: A literature review and research agenda," Social Science & Medicine, Elsevier, vol. 326(C).
    286. Jordan G. Taqi-Eddin, 2024. "Impact Analysis of the Chesa Boudin Administration," Papers 2405.11455, arXiv.org.

  24. Susan Athey & Michael Luca, 2019. "Economists (and Economics) in Tech Companies," Journal of Economic Perspectives, American Economic Association, vol. 33(1), pages 209-230, Winter.
    See citations under working paper version above.
  25. Susan Athey & Mohsen Bayati & Guido Imbens & Zhaonan Qu, 2019. "Ensemble Methods for Causal Effects in Panel Data Settings," AEA Papers and Proceedings, American Economic Association, vol. 109, pages 65-70, May.
    See citations under working paper version above.
  26. Susan Athey & David Blei & Robert Donnelly & Francisco Ruiz & Tobias Schmidt, 2018. "Estimating Heterogeneous Consumer Preferences for Restaurants and Travel Time Using Mobile Location Data," AEA Papers and Proceedings, American Economic Association, vol. 108, pages 64-67, May.
    See citations under working paper version above.
  27. Athey, Susan & Levin, Jonathan, 2018. "The value of information in monotone decision problems," Research in Economics, Elsevier, vol. 72(1), pages 101-116.
    See citations under working paper version above.
  28. Susan Athey & Guido W. Imbens & Stefan Wager, 2018. "Approximate residual balancing: debiased inference of average treatment effects in high dimensions," Journal of the Royal Statistical Society Series B, Royal Statistical Society, vol. 80(4), pages 597-623, September.
    See citations under working paper version above.
  29. Susan Athey & Dean Eckles & Guido W. Imbens, 2018. "Exact p-Values for Network Interference," Journal of the American Statistical Association, Taylor & Francis Journals, vol. 113(521), pages 230-240, January.
    See citations under working paper version above.
  30. Stefan Wager & Susan Athey, 2018. "Estimation and Inference of Heterogeneous Treatment Effects using Random Forests," Journal of the American Statistical Association, Taylor & Francis Journals, vol. 113(523), pages 1228-1242, July.
    See citations under working paper version above.
  31. Susan Athey & Guido Imbens & Thai Pham & Stefan Wager, 2017. "Estimating Average Treatment Effects: Supplementary Analyses and Remaining Challenges," American Economic Review, American Economic Association, vol. 107(5), pages 278-281, May.
    See citations under working paper version above.
  32. Susan Athey & Andrzej Skrzypacz, 2017. "Yuliy Sannikov: Winner of the 2016 Clark Medal," Journal of Economic Perspectives, American Economic Association, vol. 31(2), pages 237-256, Spring.

    Cited by:

    1. Ch.-M. CHEVALIER, 2018. "Financial constraints of innovative firms and sectoral growth," Documents de Travail de l'Insee - INSEE Working Papers g2018-05, Institut National de la Statistique et des Etudes Economiques.

  33. Susan Athey & Guido W. Imbens, 2017. "The State of Applied Econometrics: Causality and Policy Evaluation," Journal of Economic Perspectives, American Economic Association, vol. 31(2), pages 3-32, Spring.
    See citations under working paper version above.
  34. Susan Athey & Guido Imbens, 2015. "A Measure of Robustness to Misspecification," American Economic Review, American Economic Association, vol. 105(5), pages 476-480, May.

    Cited by:

    1. Akash Malhotra, 2021. "A hybrid econometric–machine learning approach for relative importance analysis: prioritizing food policy," Eurasian Economic Review, Springer;Eurasia Business and Economics Society, vol. 11(3), pages 549-581, September.
    2. Franziska Bremus & Tatsiana Kliatskova, 2018. "Legal Harmonization, Institutional Quality, and Countries' External Positions: A Sectoral Analysis," Discussion Papers of DIW Berlin 1768, DIW Berlin, German Institute for Economic Research.
    3. Thorsten Sellhorn, 2020. "Machine Learning und empirische Rechnungslegungsforschung: Einige Erkenntnisse und offene Fragen [Machine Learning and Empirical Accounting Research: Some Findings and Open Questions]," Schmalenbach Journal of Business Research, Springer, vol. 72(1), pages 49-69, March.
    4. Susan Athey & Guido W. Imbens, 2017. "The State of Applied Econometrics: Causality and Policy Evaluation," Journal of Economic Perspectives, American Economic Association, vol. 31(2), pages 3-32, Spring.
    5. Guido Imbens & Yiqing Xu, 2024. "LaLonde (1986) after Nearly Four Decades: Lessons Learned," Papers 2406.00827, arXiv.org, revised Jun 2024.
    6. Jason M. Rathje & Riitta Katila, 2021. "Enabling Technologies and the Role of Private Firms: A Machine Learning Matching Analysis," Strategy Science, INFORMS, vol. 6(1), pages 5-21, March.
    7. Furno, Marilena, 2021. "The synthetic control approach: Multivalued treatments at the quantiles," Research in Economics, Elsevier, vol. 75(1), pages 7-20.
    8. Peter Backus & María Cubel & Matej Guid & Santiago Sánchez-Pages & Enrique Lopez Manas, 2016. "Gender, competition and performance:Evidence from real tournaments," Working Papers 2016/27, Institut d'Economia de Barcelona (IEB).
    9. Peter G. Backus & Nicky L. Grant, 2019. "How sensitive is the average taxpayer to changes in the tax-price of giving?," International Tax and Public Finance, Springer;International Institute of Public Finance, vol. 26(2), pages 317-356, April.
    10. Peter Backus & Maria Cubel & Matej Guid & Santiago Sánchez‐Pagés & Enrique López Mañas, 2023. "Gender, competition, and performance: Evidence from chess players," Quantitative Economics, Econometric Society, vol. 14(1), pages 349-380, January.
    11. Crespo, Cristian, 2020. "Two become one: improving the targeting of conditional cash transfers with a predictive model of school dropout," LSE Research Online Documents on Economics 123139, London School of Economics and Political Science, LSE Library.
    12. Mullally, Conner & Chakravarty, Shourish, 2018. "Are Matching Funds for Smallholder Irrigation Money Well Spent?," SocArXiv x5vmz, Center for Open Science.
    13. Tatiana de Macedo Nogueira Lima, 2022. "Documento de Trabalho 03/2022 - Aprendizado de máquina e antitruste," Documentos de Trabalho 2022030, Conselho Administrativo de Defesa Econômica (Cade), Departamento de Estudos Econômicos.
    14. Byunghoon Kang, 2017. "Inference in Nonparametric Series Estimation with Data-Dependent Undersmoothing," Working Papers 170712442, Lancaster University Management School, Economics Department.
    15. Akash Malhotra, 2018. "A hybrid econometric-machine learning approach for relative importance analysis: Prioritizing food policy," Papers 1806.04517, arXiv.org, revised Aug 2020.
    16. Dreber, Anna & Johannesson, Magnus, 2023. "A framework for evaluating reproducibility and replicability in economics," I4R Discussion Paper Series 38, The Institute for Replication (I4R).
    17. Christoph Semken & David Rossell, 2022. "Specification analysis for technology use and teenager well‐being: Statistical validity and a Bayesian proposal," Journal of the Royal Statistical Society Series C, Royal Statistical Society, vol. 71(5), pages 1330-1355, November.
    18. Masahiro Kato & Hikaru Kawarazaki, 2019. "Model Specification Test with Unlabeled Data: Approach from Covariate Shift," Papers 1911.00688, arXiv.org, revised Feb 2020.
    19. Zhang, Chi & Managi, Shunsuke, 2020. "Functional social support and maternal stress: A study on the 2017 paid parental leave reform in Japan," Economic Analysis and Policy, Elsevier, vol. 65(C), pages 153-172.

  35. Susan Athey & Glenn Ellison, 2014. "Dynamics of Open Source Movements," Journal of Economics & Management Strategy, Wiley Blackwell, vol. 23(2), pages 294-316, June.
    See citations under working paper version above.
  36. Susan Athey & Ilya Segal, 2013. "An Efficient Dynamic Mechanism," Econometrica, Econometric Society, vol. 81(6), pages 2463-2485, November.
    See citations under working paper version above.
  37. Susan Athey & Dominic Coey & Jonathan Levin, 2013. "Set-Asides and Subsidies in Auctions," American Economic Journal: Microeconomics, American Economic Association, vol. 5(1), pages 1-27, February.
    See citations under working paper version above.
  38. Susan Athey & Jonathan Levin & Enrique Seira, 2011. "Comparing open and Sealed Bid Auctions: Evidence from Timber Auctions," The Quarterly Journal of Economics, President and Fellows of Harvard College, vol. 126(1), pages 207-257.
    See citations under working paper version above.
  39. Susan Athey & Glenn Ellison, 2011. "Position Auctions with Consumer Search," The Quarterly Journal of Economics, President and Fellows of Harvard College, vol. 126(3), pages 1213-1270.
    See citations under working paper version above.
  40. Susan Athey & Joshua S. Gans, 2010. "The Impact of Targeting Technology on Advertising Markets and Media Competition," American Economic Review, American Economic Association, vol. 100(2), pages 608-613, May.

    Cited by:

    1. Hongchang Wang & Benjamin Williams & Karen Xie & Wei Chen, 2024. "Quality Differentiation and Matching Performance in Peer-to-Peer Markets: Evidence from Airbnb Plus," Management Science, INFORMS, vol. 70(7), pages 4260-4282, July.
    2. Charles Angelucci & Julia Cage & Michael Sinkinson, 2020. "Media Competition and News Diets," Working Papers hal-03393063, HAL.
    3. Larbi Alaoui & Fabrizio Germano, 2014. "Time Scarcity and the Market for News," Working Papers 675, Barcelona School of Economics.
    4. Peitz, Martin & Reisinger, Markus, 2014. "The Economics of Internet Media," Working Papers 14-23, University of Mannheim, Department of Economics.
    5. Avi Goldfarb & Catherine E. Tucker, 2011. "Privacy Regulation and Online Advertising," Management Science, INFORMS, vol. 57(1), pages 57-71, January.
    6. James Rutt, 2011. "Aggregators and the News Industry: Charging for Access to Content," Working Papers 11-19, NET Institute, revised Sep 2011.
    7. Avi Goldfarb, 2014. "What is Different About Online Advertising?," Review of Industrial Organization, Springer;The Industrial Organization Society, vol. 44(2), pages 115-129, March.
    8. Hagiu, Andrei & Jullien, Bruno, 2014. "Search diversion and platform competition," International Journal of Industrial Organization, Elsevier, vol. 33(C), pages 48-60.
    9. Anja Lambrecht & Catherine Tucker, 2019. "Algorithmic Bias? An Empirical Study of Apparent Gender-Based Discrimination in the Display of STEM Career Ads," Management Science, INFORMS, vol. 65(7), pages 2966-2981, July.
    10. Andrei Matveenko & Egor Starkov, 2023. "Sparking curiosity or tipping the scales? Targeted advertising with consumer learning," CRC TR 224 Discussion Paper Series crctr224_2023_425, University of Bonn and University of Mannheim, Germany.
    11. Mishra, Soumya Kanta & Sarkar, Sumit, 2023. "Can social media platforms charge their users?," Economics Letters, Elsevier, vol. 233(C).
    12. Emilio Calvano & Bruno Jullien, 2011. "Issues in on-line advertising and competition policy: a two-sided market perspective," Working Papers 427, IGIER (Innocenzo Gasparini Institute for Economic Research), Bocconi University.
    13. Steven Schmeiser, 2018. "Sharing Audience Data: Strategic Participation in Behavioral Advertising Networks," Review of Industrial Organization, Springer;The Industrial Organization Society, vol. 52(3), pages 429-450, May.
    14. Fujisawa, Chieko & Kasuga, Norihiro, 2021. "How should durable goods firms combine online and mass media advertisements to promote sales?," 23rd ITS Biennial Conference, Online Conference / Gothenburg 2021. Digital societies and industrial transformations: Policies, markets, and technologies in a post-Covid world 238023, International Telecommunications Society (ITS).
    15. Federico Etro, 2012. "Leadership in Multi-sided Markets and Dominance in Online Advertising," Chapters, in: Joseph E. Harrington Jr & Yannis Katsoulacos (ed.), Recent Advances in the Analysis of Competition Policy and Regulation, chapter 11, Edward Elgar Publishing.
    16. Yongmin Chen & Xinyu Hua & Keith E. Maskus, 2020. "International Protection of Consumer Data," HKUST CEP Working Papers Series 202004, HKUST Center for Economic Policy.
    17. Zhao Jiang & Wu Dan & Liu Jie, 2020. "Distinct role of targeting precision of Internet-based targeted advertising in duopolistic e-business firms’ heterogeneous consumers market," Electronic Commerce Research, Springer, vol. 20(2), pages 453-474, June.
    18. Florian Hoffmann & Roman Inderst & Marco Ottaviani, 2020. "Persuasion Through Selective Disclosure: Implications for Marketing, Campaigning, and Privacy Regulation," Management Science, INFORMS, vol. 66(11), pages 4958-4979, November.
    19. Jullien, Bruno & Hagiu, Andrei, 2013. "Strategic Search Diversion, Product Affiliation and Platform Competition," CEPR Discussion Papers 9451, C.E.P.R. Discussion Papers.
    20. de Cornière, Alexandre & Taylor, Greg, 2020. "Data and Competition: a General Framework with Applications to Mergers, Market Structure, and Privacy Policy," TSE Working Papers 20-1076, Toulouse School of Economics (TSE).
    21. Dirk Bergemann & Alessandro Bonatti, 2010. "Targeting in Advertising Markets: Implications for Offline vs. Online Media," Levine's Working Paper Archive 661465000000000284, David K. Levine.
    22. Alessandro Acquisti & Curtis Taylor & Liad Wagman, 2016. "The Economics of Privacy," Journal of Economic Literature, American Economic Association, vol. 54(2), pages 442-492, June.
    23. Anna D'Annunzio & Antonio Russo, 2017. "Ad Networks and Consumer Tracking," CESifo Working Paper Series 6667, CESifo.
    24. Wei Chen & Zaiyan Wei & Karen Xie, 2023. "Regulating Professional Players in Peer-to-Peer Markets: Evidence from Airbnb," Management Science, INFORMS, vol. 69(5), pages 2893-2918, May.
    25. Charles Angelucci & Julia Cage, 2015. "Newspapers in Times of Low Advertising Revenues," Working Papers hal-01173957, HAL.
    26. Lacetera, Nicola & Macis, Mario & Mele, Angelo, 2014. "Viral Altruism? Generosity and Social Contagion in Online Networks," IZA Discussion Papers 8171, Institute of Labor Economics (IZA).
    27. Mariann Ollar & Marzena Rostek, 2011. "Information Aggregation and Innovation in Market Design," Working Papers 11-12, NET Institute.
    28. Kfir Eliaz & Ran Spiegler, 2020. "Incentive‐compatible advertising on nonretail platforms," RAND Journal of Economics, RAND Corporation, vol. 51(2), pages 323-345, June.
    29. Stühmeier, Torben, 2012. "Target Advertising and Market Transparency," VfS Annual Conference 2012 (Goettingen): New Approaches and Challenges for the Labor Market of the 21st Century 62021, Verein für Socialpolitik / German Economic Association.
    30. de Cornière, Alexandre & Taylor, Greg, 2022. "Data and Competition: a Simple Framework with Applications to Mergers and Market Structure," CEPR Discussion Papers 14446, C.E.P.R. Discussion Papers.
    31. Anderson, Simon P. & Jullien, Bruno, 2016. "The advertising-financed business model in two-sided media markets," TSE Working Papers 16-632, Toulouse School of Economics (TSE).
    32. Kevin M. Murphy & Ignacio Palacios-Huerta, 2016. "A Theory of Bundling Advertisements in Media Markets," NBER Working Papers 22994, National Bureau of Economic Research, Inc.
    33. de Cornière, Alexandre & Taylor, Greg, 2023. "Data and Competition: A Simple Framework," TSE Working Papers 23-1404, Toulouse School of Economics (TSE), revised Aug 2024.
    34. Flavio Pino, 2022. "The microeconomics of data – a survey," Economia e Politica Industriale: Journal of Industrial and Business Economics, Springer;Associazione Amici di Economia e Politica Industriale, vol. 49(3), pages 635-665, September.
    35. Eliaz, Kfir & Spiegler, Ran, 2016. "Incentive Compatible Advertising on a Social Network," CEPR Discussion Papers 11223, C.E.P.R. Discussion Papers.
    36. Ni Huang & Jiayin Zhang & Gordon Burtch & Xitong Li & Peiyu Chen, 2021. "Combating Procrastination on Massive Online Open Courses via Optimal Calls to Action," Information Systems Research, INFORMS, vol. 32(2), pages 301-317, June.
    37. Jacopo Perego & Sevgi Yuksel, 2022. "Media Competition and Social Disagreement," Econometrica, Econometric Society, vol. 90(1), pages 223-265, January.
    38. Evensen, Charlotte Bjørnhaug & Haugen, Atle, 2021. "The impact of targeting technologies and consumer multi-homing on digital platform competition," Discussion Paper Series in Economics 13/2021, Norwegian School of Economics, Department of Economics.
    39. Gong Qiang & Pan Siqi & Yang Huanxing, 2019. "Targeted Advertising on Competing Platforms," The B.E. Journal of Theoretical Economics, De Gruyter, vol. 19(1), pages 1-20, January.
    40. Florian Hoffmann & Roman Inderst & Marco Ottaviani, 2013. "Hypertargeting, Limited Attention, and Privacy: Implications for Marketing and Campaigning," Working Papers 479, IGIER (Innocenzo Gasparini Institute for Economic Research), Bocconi University.
    41. Andreas Hefti & Shuo Liu, 2020. "Targeted information and limited attention," RAND Journal of Economics, RAND Corporation, vol. 51(2), pages 402-420, June.
    42. Mingyu Joo & Jiaqi Shi & Vibhanshu Abhishek, 2024. "Do Sellers Benefit from Sponsored Product Listings? Evidence from an Online Marketplace," Marketing Science, INFORMS, vol. 43(4), pages 817-839, July.
    43. Andreas Hefti & Shuo Liu, 2016. "Targeted information and limited attention," ECON - Working Papers 230, Department of Economics - University of Zurich, revised Dec 2019.
    44. Charles Angelucci & Julia Cage & Michael Sinkinson, 2020. "Media Competition and News Diets," SciencePo Working papers Main hal-03393063, HAL.
    45. Zhao Jiang & Dan Wu, 2022. "Targeting Precision in Imperfect Targeted Advertising: Implications for the Regulation of Market Structure and Efficiency," SAGE Open, , vol. 12(1), pages 21582440221, March.
    46. Avi Goldfarb & Catherine Tucker, 2011. "Search Engine Advertising: Channel Substitution When Pricing Ads to Context," Management Science, INFORMS, vol. 57(3), pages 458-470, March.
    47. Bo Cowgill & Cosmina Dorobantu, 2018. "Competition and Specificity in Market Design: Evidence from Geotargeted Advertising," Working Papers 18-09, NET Institute, revised Sep 2018.
    48. James Campbell & Avi Goldfarb & Catherine Tucker, 2015. "Privacy Regulation and Market Structure," Journal of Economics & Management Strategy, Wiley Blackwell, vol. 24(1), pages 47-73, March.
    49. Alexandre de Corniere & Romain De Nijs, 2013. "Online Advertising and Privacy," Economics Series Working Papers 650, University of Oxford, Department of Economics.

  41. Nikhil Agarwal & Susan Athey & David Yang, 2009. "Skewed Bidding in Pay-per-Action Auctions for Online Advertising," American Economic Review, American Economic Association, vol. 99(2), pages 441-447, May.

    Cited by:

    1. Athey, Susan & Luca, Michael, 2018. "Economists (and Economics) in Tech Companies," Research Papers 3735, Stanford University, Graduate School of Business.
    2. Ron Berman, 2018. "Beyond the Last Touch: Attribution in Online Advertising," Marketing Science, INFORMS, vol. 37(5), pages 771-792, September.
    3. Avi Goldfarb, 2014. "What is Different About Online Advertising?," Review of Industrial Organization, Springer;The Industrial Organization Society, vol. 44(2), pages 115-129, March.
    4. Yi Zhu & Kenneth C. Wilbur, 2011. "Hybrid Advertising Auctions," Marketing Science, INFORMS, vol. 30(2), pages 249-273, 03-04.
    5. Todd R. Kaplan & Shmuel Zamir, 2014. "Advances in Auctions," Discussion Paper Series dp662, The Federmann Center for the Study of Rationality, the Hebrew University, Jerusalem.
    6. Hamid Nazerzadeh & Amin Saberi & Rakesh Vohra, 2013. "Dynamic Pay-Per-Action Mechanisms and Applications to Online Advertising," Operations Research, INFORMS, vol. 61(1), pages 98-111, February.
    7. Federico Etro, 2012. "Leadership in Multi-sided Markets and Dominance in Online Advertising," Chapters, in: Joseph E. Harrington Jr & Yannis Katsoulacos (ed.), Recent Advances in the Analysis of Competition Policy and Regulation, chapter 11, Edward Elgar Publishing.
    8. Sander Renes, 2011. "Balancing the Bids, Solutions for Unit Price Auctions," Tinbergen Institute Discussion Papers 11-047/1, Tinbergen Institute.
    9. Jiwoong Shin & Jungju Yu, 2021. "Targeted Advertising and Consumer Inference," Marketing Science, INFORMS, vol. 40(5), pages 900-922, September.
    10. Dakshina G. De Silva & Timothy Dunne & Georgia Kosmopoulou & Carlos Lamarche, 2015. "Project modifications and bidding in highway procurement auctions," FRB Atlanta Working Paper 2015-14, Federal Reserve Bank of Atlanta.
    11. Sham M. Kakade & Ilan Lobel & Hamid Nazerzadeh, 2013. "Optimal Dynamic Mechanism Design and the Virtual-Pivot Mechanism," Operations Research, INFORMS, vol. 61(4), pages 837-854, August.
    12. Kominers, Scott Duke & Teytelboym, Alexander & Crawford, Vincent P, 2017. "An invitation to market design," University of California at San Diego, Economics Working Paper Series qt3xp2110t, Department of Economics, UC San Diego.
    13. Lamy, Laurent & Jehiel, Philippe, 2016. "On the benefits of set-asides," CEPR Discussion Papers 11564, C.E.P.R. Discussion Papers.
    14. Yu (Jeffrey) Hu & Jiwoong Shin & Zhulei Tang, 2016. "Incentive Problems in Performance-Based Online Advertising Pricing: Cost per Click vs. Cost per Action," Management Science, INFORMS, vol. 62(7), pages 2022-2038, July.
    15. Du, Ruihuan & Zhong, Yu & Nair, Harikesh S. & Cui, Bo & Shou, Ruyang, 2019. "Causally Driven Incremental Multi Touch Attribution Using a Recurrent Neural Network," Research Papers 3761, Stanford University, Graduate School of Business.
    16. Etro, Federico, 2013. "Advertising and search engines. A model of leadership in search advertising," Research in Economics, Elsevier, vol. 67(1), pages 25-38.
    17. Taylor, Greg, 2011. "The informativeness of on-line advertising," International Journal of Industrial Organization, Elsevier, vol. 29(6), pages 668-677.
    18. Kaichen Zhang & Zixuan Yuan & Hui Xiong, 2024. "Optimized Cost Per Click in Online Advertising: A Theoretical Analysis," Papers 2405.14279, arXiv.org.
    19. Richet, Jean-Loup, 2022. "How cybercriminal communities grow and change: An investigation of ad-fraud communities," Technological Forecasting and Social Change, Elsevier, vol. 174(C).
    20. Chrysanthos Dellarocas, 2012. "Double Marginalization in Performance-Based Advertising: Implications and Solutions," Management Science, INFORMS, vol. 58(6), pages 1178-1195, June.
    21. Vasant Dhar & Anindya Ghose, 2010. "Research Commentary ---Sponsored Search and Market Efficiency," Information Systems Research, INFORMS, vol. 21(4), pages 760-772, December.
    22. Cai, Gangshu (George) & Chen, Ying-Ju, 2011. "In-Store Referrals on the Internet," Journal of Retailing, Elsevier, vol. 87(4), pages 563-578.

  42. Susan Athey & Kyle Bagwell, 2008. "Collusion With Persistent Cost Shocks," Econometrica, Econometric Society, vol. 76(3), pages 493-540, May.
    See citations under working paper version above.
  43. , & , A., 2007. "Efficiency in repeated trade with hidden valuations," Theoretical Economics, Econometric Society, vol. 2(3), September.
    See citations under working paper version above.
  44. Susan Athey & Guido W. Imbens, 2007. "Discrete Choice Models With Multiple Unobserved Choice Characteristics," International Economic Review, Department of Economics, University of Pennsylvania and Osaka University Institute of Social and Economic Research Association, vol. 48(4), pages 1159-1192, November.
    See citations under working paper version above.
  45. Susan Athey & Lawrence F. Katz & Alan B. Krueger & Steven Levitt & James Poterba, 2007. "What Does Performance in Graduate School Predict? Graduate Economics Education and Student Outcomes," American Economic Review, American Economic Association, vol. 97(2), pages 512-520, May.

    Cited by:

    1. Farzana Munir & Rudolf Winter-Ebmer, 2018. "Decomposing international gender test score differences," Journal for Labour Market Research, Springer;Institute for Employment Research/ Institut für Arbeitsmarkt- und Berufsforschung (IAB), vol. 52(1), pages 1-17, December.
    2. Richard S. J. Tol, 2022. "Nobel begets Nobel," Papers 2207.04441, arXiv.org, revised Mar 2023.
    3. Cardoso, Ana Rute & Guimaraes, Paulo & Zimmermann, Klaus F., 2008. "Comparing the Early Research Performance of PhD Graduates in Labor Economics in Europe and the USA," IZA Discussion Papers 3898, Institute of Labor Economics (IZA).
    4. Qi Ge & Stephen Wu & Chenyu Zhou, 2021. "Sharing common roots: Student‐graduate committee matching and job market outcomes," Southern Economic Journal, John Wiley & Sons, vol. 88(2), pages 828-856, October.
    5. Stock, Wendy A. & Finegan, T. Aldrich & Siegfried, John J., 2009. "Can you earn a Ph.D. in economics in five years?," Economics of Education Review, Elsevier, vol. 28(5), pages 523-537, October.
    6. Jihui Chen & Qihong Liu & Myongjin Kim, 2022. "Gender gap in tenure and promotion: Evidence from the economics Ph.D. class of 2008," Southern Economic Journal, John Wiley & Sons, vol. 88(4), pages 1277-1312, April.
    7. Richard S. J. Tol, 2022. "Rise of the Kniesians: the professor-student network of Nobel laureates in economics," The European Journal of the History of Economic Thought, Taylor & Francis Journals, vol. 29(4), pages 680-703, July.
    8. Marco Di Cintio & Emanuele Grassi, 2016. "The returns to temporary migration: The case of Italian Ph.D.s," EERI Research Paper Series EERI RP 2016/15, Economics and Econometrics Research Institute (EERI), Brussels.
    9. Timothy Perri, 2012. "Between the penthouse and the outhouse: the sorting of economics professors," Applied Economics Letters, Taylor & Francis Journals, vol. 19(18), pages 1899-1902, December.
    10. Marco Cintio & Emanuele Grassi, 2017. "International mobility and wages: an analysis of Italian Ph.D. graduates," The Annals of Regional Science, Springer;Western Regional Science Association, vol. 59(3), pages 759-791, November.
    11. Wai, Jonathan & Lee, Matthew H. & Kell, Harrison J., 2022. "Distributions of academic math-verbal tilt and overall academic skill of students specializing in different fields: A study of 1.6 million graduate record examination test takers," Intelligence, Elsevier, vol. 95(C).
    12. Thomas Bolli & Tommaso Agasisti & Geraint Johnes, 2015. "The impact of institutional student support on graduation rates in US Ph.D. programmes," Education Economics, Taylor & Francis Journals, vol. 23(4), pages 396-418, August.
    13. Richard S.J. Tol, 2022. "Nobel students beget Nobel professors," Working Paper Series 0322, Department of Economics, University of Sussex Business School.
    14. Michael E. Rose & Suraj Shekhar, 2021. "Indirect Contacts in Hiring: The Economics Job Market," Working Papers 55, Ashoka University, Department of Economics.
    15. John Manuel Barrios & Laura Giuliano & Andrew J. Leone, 2020. "In Living Color: Does In-Person Screening Affect Who Gets Hired?," Working Papers 2020-38, Becker Friedman Institute for Research In Economics.
    16. Jihui Chen & Qihong Liu & Sherrilyn Billger, 2013. "Where Do New Ph.D. Economists Go? Recent Evidence from Initial Labor Market," Journal of Labor Research, Springer, vol. 34(3), pages 312-338, September.
    17. Tol, Richard S.J., 2023. "Nobel begets Nobel in economics," Journal of Informetrics, Elsevier, vol. 17(4).

  46. Ilya Segal & Susan Athey, 2007. "Designing Efficient Mechanisms for Dynamic Bilateral Trading Games," American Economic Review, American Economic Association, vol. 97(2), pages 131-136, May.
    See citations under working paper version above.
  47. Susan Athey & Guido W. Imbens, 2006. "Identification and Inference in Nonlinear Difference-in-Differences Models," Econometrica, Econometric Society, vol. 74(2), pages 431-497, March.
    See citations under working paper version above.
  48. Susan Athey & Andrew Atkeson & Patrick J. Kehoe, 2005. "The Optimal Degree of Discretion in Monetary Policy," Econometrica, Econometric Society, vol. 73(5), pages 1431-1475, September.
    See citations under working paper version above.
  49. Susan Athey & Kyle Bagwell & Chris Sanchirico, 2004. "Collusion and Price Rigidity," The Review of Economic Studies, Review of Economic Studies Ltd, vol. 71(2), pages 317-349.
    See citations under working paper version above.
  50. Susan Athey & Andrew Atkeson & Patrick J. Kehoe, 2003. "The optimal degree of monetary policy discretion," Proceedings, Board of Governors of the Federal Reserve System (U.S.).

    Cited by:

    1. Kyle Bagwell, 2009. "Self-Enforcing Trade Agreements and Private Information," NBER Working Papers 14812, National Bureau of Economic Research, Inc.
    2. Romain Duval & Lukas Vogel, 2012. "How Do Nominal and Real Rigidities Interact? A Tale of the Second Best," Journal of Money, Credit and Banking, Blackwell Publishing, vol. 44(7), pages 1455-1474, October.
    3. Jean-Olivier Hairault & François Langot, 2010. "Markups and the Welfare Cost of Business Cycles : A Reappraisal," Post-Print halshs-00492204, HAL.
    4. Eduardo Monteiro & Humberto Moreira, 2006. "Effciency In Two Player Repeated Games Of Imperfect Monitoring," Anais do XXXIV Encontro Nacional de Economia [Proceedings of the 34th Brazilian Economics Meeting] 113, ANPEC - Associação Nacional dos Centros de Pós-Graduação em Economia [Brazilian Association of Graduate Programs in Economics].
    5. Lynne Evans & Anamaria Nicolae, 2010. "The Output Effect of a Transition to Price Stability When Velocity Is Time Varying," Journal of Money, Credit and Banking, Blackwell Publishing, vol. 42(5), pages 859-878, August.
    6. PINSHI, Christian P., 2019. "Dollarization and Foreign Exchange Reserve : Debate on the Effectiveness of Monetary Policy in DR. Congo," MPRA Paper 104807, University Library of Munich, Germany.
    7. Ester Faia & Tommaso Monacelli, 2008. "Optimal Monetary Policy in a Small Open Economy with Home Bias," Journal of Money, Credit and Banking, Blackwell Publishing, vol. 40(4), pages 721-750, June.
    8. Klaus Adam, & Erwan Gautier, & Sergio Santoro, & Henning Weber., 2021. "The Case for a Positive Euro Area Inflation Target: Evidence from France, Germany and Italy," Working papers 825, Banque de France.
    9. Miura, Shogo, 2023. "Optimal inflation rate and fair wage," The Quarterly Review of Economics and Finance, Elsevier, vol. 88(C), pages 158-167.
    10. Takahashi, Shuhei, 2021. "The uniqueness of steady-state equilibrium under state-dependent pricing: The case of deflation," Economics Letters, Elsevier, vol. 209(C).
    11. Adao, Bernardino & Correia, Isabel & Teles, Pedro, 2009. "On the relevance of exchange rate regimes for stabilization policy," Journal of Economic Theory, Elsevier, vol. 144(4), pages 1468-1488, July.
    12. Adam, Klaus & Weber, Henning, 2020. "Estimating the Optimal Inflation Target from Trends in Relative Prices," CEPR Discussion Papers 14335, C.E.P.R. Discussion Papers.
    13. Victoria COCIUG & Olga HINEV, 2019. "Optimal Monetary Policy: Theoretical And Practical Aspects," Contemporary Economy Journal, Constantin Brancoveanu University, vol. 4(1), pages 55-65.
    14. Kristoffer Mousten Hansen, 2021. "Are Free Market Fiduciary Media Possible? On the Nature of Money, Banking, and Money Production in the Free Market Order," Post-Print hal-03480292, HAL.
    15. Vinicius Carrasco & João Mello, 2010. "Repeated lending under contractual incompleteness," Annals of Finance, Springer, vol. 6(1), pages 51-82, January.
    16. Alan S. Blinder & Ricardo Reis, 2005. "Understanding the Greenspan Standard," Working Papers 88, Princeton University, Department of Economics, Center for Economic Policy Studies..
    17. Andrade Philippe, & Galí Jordi, & Le Bihan Hervé, & Matheron Julien., 2021. "Should the ECB Adjust its Strategy in the Face of a Lower r*?," Working papers 811, Banque de France.
    18. Gregor W. Smith, 2006. "The Spectre Of Deflation: A Review Of Empirical Evidence," Working Paper 1086, Economics Department, Queen's University.
    19. Alberto Locarno, 2007. "Imperfect Knowledge, Adaptive Learning, and the Bias Against Activist Monetary Policies," International Journal of Central Banking, International Journal of Central Banking, vol. 3(3), pages 47-85, September.
    20. Linda S. Goldberg & Michael W. Klein, 2005. "Establishing Credibility: Evolving Perceptions of the European Central Bank," The Institute for International Integration Studies Discussion Paper Series iiisdp105, IIIS.
    21. Rostagno, Massimo & Altavilla, Carlo & Carboni, Giacomo & Lemke, Wolfgang & Motto, Roberto & Saint Guilhem, Arthur & Yiangou, Jonathan, 2019. "A tale of two decades: the ECB’s monetary policy at 20," Working Paper Series 2346, European Central Bank.
    22. Robert Amano & Malik Shukayev, 2009. "Risk Premium Shocks and the Zero Bound on Nominal Interest Rates," Staff Working Papers 09-27, Bank of Canada.
    23. Linda S. Goldberg & Michael W. Klein, 2010. "Evolving Perceptions of Central Bank Credibility: The European Central Bank Experience," NBER Chapters, in: NBER International Seminar on Macroeconomics 2010, pages 153-182, National Bureau of Economic Research, Inc.
    24. Klaus Adam & Oliver Pfäuti & Timo Reinelt, 2020. "Falling Natural Rates, Rising Housing Volatility and the Optimal Inflation Target," CRC TR 224 Discussion Paper Series crctr224_2020_235, University of Bonn and University of Mannheim, Germany.
    25. Firouz Gahvari & Luca Micheletto, 2019. "Heterogeneity, monetary policy, Mirrleesian taxes, and the Friedman rule," Economic Theory, Springer;Society for the Advancement of Economic Theory (SAET), vol. 67(4), pages 983-1018, June.
    26. Andrade, Philippe & Galí, Jordi & Le Bihan, Hervé & Matheron, Julien, 2021. "Should the ECB adjust its strategy in the face of a lower r★?," Journal of Economic Dynamics and Control, Elsevier, vol. 132(C).
    27. Vincent Anesi & Daniel J. Seidmann, 2009. "Optimal Delegation with a Finite Number of States," Discussion Papers 2009-20, The Centre for Decision Research and Experimental Economics, School of Economics, University of Nottingham.
    28. Vinicius Carrasco & João Manoel Pinho de Mello, 2006. "A relational theory of relationship lending under contractual incompleteness," Textos para discussão 520, Department of Economics PUC-Rio (Brazil), revised Jan 2000.
    29. André Marine Charlotte & Medina Espidio Sebastián, 2022. "Optimal Robust Monetary Policy in a Small Open Economy," Working Papers 2022-17, Banco de México.

  51. Susan Athey, 2002. "Monotone Comparative Statics under Uncertainty," The Quarterly Journal of Economics, President and Fellows of Harvard College, vol. 117(1), pages 187-223.
    See citations under working paper version above.
  52. Susan Athey & Philip A. Haile, 2002. "Identification of Standard Auction Models," Econometrica, Econometric Society, vol. 70(6), pages 2107-2140, November.
    See citations under working paper version above.
  53. Susan Athey & Scott Stern, 2002. "The Impact of Information Technology on Emergency Health Care Outcomes," RAND Journal of Economics, The RAND Corporation, vol. 33(3), pages 399-432, Autumn.
    See citations under working paper version above.
  54. Athey, Susan, 2001. "Single Crossing Properties and the Existence of Pure Strategy Equilibria in Games of Incomplete Information," Econometrica, Econometric Society, vol. 69(4), pages 861-889, July.
    See citations under working paper version above.
  55. Susan Athey & John Roberts, 2001. "Organizational Design: Decision Rights and Incentive Contracts," American Economic Review, American Economic Association, vol. 91(2), pages 200-205, May.

    Cited by:

    1. Daniel Herbold & Heiner Schumacher, 2020. "Relational retention," Managerial and Decision Economics, John Wiley & Sons, Ltd., vol. 41(4), pages 490-502, June.
    2. Itoh, Hideshi & Kikutani, Tatsuya & Hayashida, Osamu, 2008. "Complementarities among authority, accountability, and monitoring: Evidence from Japanese business groups," Journal of the Japanese and International Economies, Elsevier, vol. 22(2), pages 207-228, June.
    3. Kerstin Puschke, "undated". "Optimal Hierarchies with Diverse Decision-Makers," Papers 034, Departmental Working Papers.
    4. Marisa Ratto & Wendelin Schnedler, 2003. "Too few cooks spoil the broth," The Centre for Market and Public Organisation 03/090, The Centre for Market and Public Organisation, University of Bristol, UK.
    5. Choe Chongwoo & Park In-Uck, 2011. "Information, Authority, and Corporate Hierarchies," The B.E. Journal of Theoretical Economics, De Gruyter, vol. 11(1), pages 1-39, February.
    6. He Liu & Yun Bai & Zhiguang Huang & Han Qiao & Shouyang Wang, 2023. "Private banking development in China under two organizational structures: Economic analysis from an organizational innovation perspective," Financial Innovation, Springer;Southwestern University of Finance and Economics, vol. 9(1), pages 1-23, December.
    7. Patrick HERBST & Jens PRUFER, 2016. "Firms, Nonprofits, And Cooperatives: A Theory Of Organizational Choice," Annals of Public and Cooperative Economics, Wiley Blackwell, vol. 87(3), pages 315-343, December.
    8. Josh Lerner & Julie Wulf, 2006. "Innovation and Incentives: Evidence from Corporate R&D," NBER Working Papers 11944, National Bureau of Economic Research, Inc.
    9. Wang, Tianxi, 2009. "Ownership, Control, and Incentive," Economics Discussion Papers 2955, University of Essex, Department of Economics.
    10. Luis Garicano & Luis Rayo, 2016. "Why Organizations Fail: Models and Cases," Journal of Economic Literature, American Economic Association, vol. 54(1), pages 137-192, March.
    11. Illoong Kwon, 2006. "Optimal Contracts for Long‐Term Decisions and the Threat of Dismissal," Journal of Economics & Management Strategy, Wiley Blackwell, vol. 15(3), pages 735-761, September.
    12. Eric Zitzewitz, 2006. "Nationalism in Winter Sports Judging and Its Lessons for Organizational Decision Making," Journal of Economics & Management Strategy, Wiley Blackwell, vol. 15(1), pages 67-99, March.
    13. Helmut Bester & Daniel Krähmer, 2008. "Delegation and incentives," RAND Journal of Economics, RAND Corporation, vol. 39(3), pages 664-682, September.
    14. Dey, Oindrila & Banerjee, Swapnendu, 2010. "Incentive, status and thereafter: A critical survey," MPRA Paper 57058, University Library of Munich, Germany.
    15. Moriya, Fumitoshi & 森谷, 文利, 2007. "The Optimality of Delegation under Imperfect Commitment," Working Paper Series 061, Center for Japanese Business Studies (HJBS), Graduate School of Commerce and Management Hitotsubashi University.
    16. Addison, John T. & Teixeira, Paulino, 2021. "Worker Commitment and Establishment Performance," IZA Discussion Papers 14290, Institute of Labor Economics (IZA).
    17. Corinne A. Coen & Catherine A. Maritan, 2011. "Investing in Capabilities: The Dynamics of Resource Allocation," Organization Science, INFORMS, vol. 22(1), pages 99-117, February.
    18. Robert Gibbons, 2010. "Inside Organizations: Pricing, Politics, and Path Dependence," Annual Review of Economics, Annual Reviews, vol. 2(1), pages 337-365, September.
    19. Harsh Ketkar & Maciej Workiewicz, 2022. "Power to the people: The benefits and limits of employee self‐selection in organizations," Strategic Management Journal, Wiley Blackwell, vol. 43(5), pages 935-963, May.
    20. Coleff, Joaquín, 2011. "Organizational design of multi-product multi-market firms," UC3M Working papers. Economics we1122, Universidad Carlos III de Madrid. Departamento de Economía.
    21. Fehr, Ernst & Herz, Holger & Wilkening, Tom, 2012. "The Lure of Authority: Motivation and Incentive Effects of Power," IZA Discussion Papers 7030, Institute of Labor Economics (IZA).
    22. Kräkel, Matthias, 2021. "On the delegation of authority," Journal of Economic Behavior & Organization, Elsevier, vol. 191(C), pages 965-981.
    23. Marisa Ratto & Wendelin Schnedler, 2005. "Division of Labour and Directed Production," The Centre for Market and Public Organisation 05/126, The Centre for Market and Public Organisation, University of Bristol, UK.
    24. Alonso, Ricardo & Dessein, Wouter & Matouschek, Niko, 2008. "When does coordination require centralization?," LSE Research Online Documents on Economics 58664, London School of Economics and Political Science, LSE Library.
    25. Baik, Bok & Evans, John H. & Kim, Kyonghee & Yanadori, Yoshio, 2016. "White collar incentives," Accounting, Organizations and Society, Elsevier, vol. 53(C), pages 34-49.
    26. Cooke, Dudley & Fernandes, Ana P. & Ferreira, Priscila, 2021. "Entry deregulation, firm organization, and wage inequality," International Journal of Industrial Organization, Elsevier, vol. 77(C).
    27. John T. Addison & Paulino Teixeira, 2024. "Worker commitment and establishment performance in Europe," Manchester School, University of Manchester, vol. 92(1), pages 40-66, January.
    28. DeVaro, Jed & Prasad, Suraj, 2013. "The Relationship Between Delegation and Incentives Across Occupations: Evidence and Theory," Working Papers 2013-05, University of Sydney, School of Economics.
    29. Wouter Dessein & Luis Garicano & Robert Gertner, 2010. "Organizing for Synergies," American Economic Journal: Microeconomics, American Economic Association, vol. 2(4), pages 77-114, November.
    30. Julie Wulf, 2007. "Authority, Risk, And Performance Incentives: Evidence From Division Manager Positions Inside Firms," Journal of Industrial Economics, Wiley Blackwell, vol. 55(1), pages 169-196, March.
    31. Gerrit de Wit & Haibo Zhou, 2009. "Determinants and dimensions of firm growth," Scales Research Reports H200903, EIM Business and Policy Research.
    32. Brown, Sarah & McHardy, Jolian & McNabb, Robert & Taylor, Karl, 2011. "Workplace Performance, Worker Commitment and Loyalty," IZA Discussion Papers 5447, Institute of Labor Economics (IZA).
    33. Maria De Paola & Vincenzo Scoppa, 2006. "Organizational Design, Project Selection, and Incentives," Journal of Institutional and Theoretical Economics (JITE), Mohr Siebeck, Tübingen, vol. 162(3), pages 424-449, September.
    34. Margaret A. Abernethy & Jan Bouwens & Laurence Van Lent, 2013. "The Role of Performance Measures in the Intertemporal Decisions of Business Unit Managers," Contemporary Accounting Research, John Wiley & Sons, vol. 30(3), pages 925-961, September.
    35. Guido Friebel & Michael Raith, 2010. "Resource Allocation and Organizational Form," American Economic Journal: Microeconomics, American Economic Association, vol. 2(2), pages 1-33, May.
    36. Minkyung Kim & K. Sudhir & Kosuke Uetake, 2022. "A Structural Model of a Multitasking Salesforce: Incentives, Private Information, and Job Design," Management Science, INFORMS, vol. 68(6), pages 4602-4630, June.
    37. Shuo Liu & Dimitri Migrow, 2019. "Designing organizations in volatile markets," ECON - Working Papers 319, Department of Economics - University of Zurich.
    38. Jongwoon (Willie) Choi & Gary W. Hecht & William B. Tayler, 2013. "Strategy Selection, Surrogation, and Strategic Performance Measurement Systems," Journal of Accounting Research, Wiley Blackwell, vol. 51(1), pages 105-133, March.
    39. Dey, Oindrila & Banerjee, Swapnendu, 2014. "Status and incentives: A critical survey," MPRA Paper 57658, University Library of Munich, Germany.
    40. Alonso, Ricardo, 2009. "Strategic control and strategic communication," LSE Research Online Documents on Economics 58682, London School of Economics and Political Science, LSE Library.
    41. Mustafa Dogan & Alexandre Jacquillat & Pinar Yildirim, 2024. "Strategic automation and decision‐making authority," Journal of Economics & Management Strategy, Wiley Blackwell, vol. 33(1), pages 203-246, January.
    42. Andy Cosh & Xiaolan Fu & Alan Hughes, 2012. "Organisation structure and innovation performance in different environments," Small Business Economics, Springer, vol. 39(2), pages 301-317, September.
    43. Eric Van den Steen, 2010. "Interpersonal Authority in a Theory of the Firm," American Economic Review, American Economic Association, vol. 100(1), pages 466-490, March.
    44. Tigran Melkonyan, 2014. "Decentralization, Incentive Contracts and the Effect of Distortions in Performance Measures," Manchester School, University of Manchester, vol. 82(6), pages 631-652, December.
    45. Dessein, Wouter, 2012. "Incomplete Contracts and Firm Boundaries: New Directions," CEPR Discussion Papers 9019, C.E.P.R. Discussion Papers.
    46. Samokhvalov Konstantin, 2024. "The Transformative Impact of Artificial Intelligence on the Management Consultancy Sector," Management Consulting Journal, Sciendo, vol. 7(1), pages 59-68, January.
    47. Maria Guadalupe & Julie Wulf, 2008. "The Flattening Firm and Product Market Competition: The Effect of Trade Liberalization," NBER Working Papers 14491, National Bureau of Economic Research, Inc.
    48. Van den Steen, Eric, 2007. "The Limits of Authority: Motivation versus Coordination," Working papers 37305, Massachusetts Institute of Technology (MIT), Sloan School of Management.
    49. Donal Crilly & Pamela Sloan, 2014. "Autonomy or Control? Organizational Architecture and Corporate Attention to Stakeholders," Organization Science, INFORMS, vol. 25(2), pages 339-355, April.
    50. Schöttner, Anja & Rohlfing-Bastian, Anna, 2016. "Optimal Allocation of Decision-Making Authority and the Provision of Incentives under Uncertainty," VfS Annual Conference 2016 (Augsburg): Demographic Change 145670, Verein für Socialpolitik / German Economic Association.
    51. Dessein, Wouter & Lo, Desmond (Ho-Fu) & Minami, Chieko, 2019. "Coordination and Organization Design: Theory and Micro-evidence," CEPR Discussion Papers 13938, C.E.P.R. Discussion Papers.
    52. Liu, Shuo & Migrow, Dimitri, 2022. "When does centralization undermine adaptation?," Journal of Economic Theory, Elsevier, vol. 205(C).
    53. Guadalupe, Maria & Wulf, Julie, 2009. "The Flattening Firm and Product Market Competition," CEPR Discussion Papers 7253, C.E.P.R. Discussion Papers.
    54. Kingwell, Ross S., 2003. "Institutional change and plant variety provision in Australia," 2003 Conference (47th), February 12-14, 2003, Fremantle, Australia 57905, Australian Agricultural and Resource Economics Society.
    55. Minkyung Kim & K. Sudhir & Kosuke Uetake, 2019. "A Structural Model of a Multitasking Salesforce: Multidimensional Incentives and Plan Design," Cowles Foundation Discussion Papers 2199R, Cowles Foundation for Research in Economics, Yale University, revised Apr 2021.
    56. Eric Van den Steen, 2009. "Authority versus Persuasion," American Economic Review, American Economic Association, vol. 99(2), pages 448-453, May.
    57. Joshua R. Bruce & John M. de Figueiredo & Brian S. Silverman, 2019. "Public contracting for private innovation: Government capabilities, decision rights, and performance outcomes," Strategic Management Journal, Wiley Blackwell, vol. 40(4), pages 533-555, April.
    58. Renfu Luo & Grant Miller & Scott Rozelle & Sean Sylvia & Marcos Vera-Hernández, 2015. "Can Bureaucrats Really Be Paid Like CEOs? School Administrator Incentives for Anemia Reduction in Rural China," NBER Working Papers 21302, National Bureau of Economic Research, Inc.
    59. Alfredo De Massis & Kimberly A. Eddleston & Paola Rovelli, 2021. "Entrepreneurial by Design: How Organizational Design Affects Family and Non‐family Firms’ Opportunity Exploitation," Journal of Management Studies, Wiley Blackwell, vol. 58(1), pages 27-62, January.
    60. Amrit Tiwana & Stephen K. Kim, 2015. "Discriminating IT Governance," Information Systems Research, INFORMS, vol. 26(4), pages 656-674, December.
    61. Ratto Marisa & Schnedler Wendelin, 2008. "Too Few Cooks Spoil the Broth: Division of Labor and Directed Production," The B.E. Journal of Economic Analysis & Policy, De Gruyter, vol. 8(1), pages 1-19, August.

  56. Athey, Susan & Bagwell, Kyle, 2001. "Optimal Collusion with Private Information," RAND Journal of Economics, The RAND Corporation, vol. 32(3), pages 428-465, Autumn.
    See citations under working paper version above.
  57. Athey, Susan & Schmutzler, Armin, 2001. "Investment and Market Dominance," RAND Journal of Economics, The RAND Corporation, vol. 32(1), pages 1-26, Spring.

    Cited by:

    1. Colla, Paolo & Garcia, Filomena, 2016. "Technology adoption: Hysteresis and absence of lock-in," Economics Letters, Elsevier, vol. 141(C), pages 107-111.
    2. Schmutzler, Armin, 2009. "The Relation Between Competition and Investment – Towards a Synthesis," Department of Economics, Working Paper Series qt8tt4457m, Department of Economics, Institute for Business and Economic Research, UC Berkeley.
    3. Axel Anderson & Luís M. B. Cabral, 2007. "Go for broke or play it safe? Dynamic competition with choice of variance," RAND Journal of Economics, RAND Corporation, vol. 38(3), pages 593-609, September.
    4. Kristina McElheran, 2015. "Do Market Leaders Lead in Business Process Innovation? The Case(s) of E-business Adoption," Management Science, INFORMS, vol. 61(6), pages 1197-1216, June.
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    4. David Martimort & Stéphane Straub, 2016. "How To Design Infrastructure Contracts In A Warming World: A Critical Appraisal Of Public–Private Partnerships," International Economic Review, Department of Economics, University of Pennsylvania and Osaka University Institute of Social and Economic Research Association, vol. 57(1), pages 61-88, February.
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    28. Cesare Dosi & Michele Moretto, 1999. "Is Ecolabelling a Reliable Environmental Policy Measure?," Working Papers 1999.9, Fondazione Eni Enrico Mattei.
    29. Laura Abramovsky & Rachel Griffith, 2006. "Outsourcing and Offshoring of Business Services: How Important is ICT?," Journal of the European Economic Association, MIT Press, vol. 4(2-3), pages 594-601, 04-05.
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    34. Levin, Mark (Левин, Марк) & Matrosova, Kseniya (Матросова, Ксения), 2015. "Innovation management based concidering advertising and complementarity of public and private levels of technology [Управление Инновациями С Учетом Рекламы И Комплементарности Общественного И Частн," Ekonomicheskaya Politika / Economic Policy, Russian Presidential Academy of National Economy and Public Administration, vol. 6, pages 109-132.
    35. S. Hati & K. Maity, 2023. "Product process innovation model of fuzzy optimal control of nonlinear system with finite time horizon under granular differentiability concept," OPSEARCH, Springer;Operational Research Society of India, vol. 60(2), pages 753-775, June.
    36. Yasunori Ishii, 2017. "International asymmetric R&D rivalry and industrial strategy," Journal of Economics, Springer, vol. 122(3), pages 267-278, November.
    37. Takii, Katsuya, 2007. "The value of adaptability--Through the analysis of a firm's prediction ability," Journal of Economics and Business, Elsevier, vol. 59(2), pages 144-162.
    38. Pan, Xiaojun & Li, Shoude, 2016. "Dynamic optimal control of process–product innovation with learning by doing," European Journal of Operational Research, Elsevier, vol. 248(1), pages 136-145.
    39. Levin, Mark (Левин, Марк) & Matrosova, K. (Матросова, К.), 2016. "Research, Modeling and Process Management Dissemination of Innovations in Socio-Economic Systems [Исследование, Моделирование И Управление Процессами Распространения Инноваций В Социально-Экономиче," Working Papers 1443, Russian Presidential Academy of National Economy and Public Administration.
    40. Genlong Guo & Shoude Li, 2023. "A dynamic analysis of a monopolist's efforts for improving product quality and process innovation with reference price effects under linear demand," Managerial and Decision Economics, John Wiley & Sons, Ltd., vol. 44(4), pages 2328-2345, June.
    41. Aldónio Ferreira & Carly Moulang & Bayu Hendro, 2010. "Environmental management accounting and innovation: an exploratory analysis," Accounting, Auditing & Accountability Journal, Emerald Group Publishing Limited, vol. 23(7), pages 920-948, September.
    42. Fabio Dio & Luca Correani, 2020. "Quality-improving and cost-reducing strategic alliances," Economia Politica: Journal of Analytical and Institutional Economics, Springer;Fondazione Edison, vol. 37(2), pages 493-524, July.
    43. Etro, Federico, 2019. "Mergers of complements and entry in innovative industries," International Journal of Industrial Organization, Elsevier, vol. 65(C), pages 302-326.
    44. Peter Arendorf Bache & Anders Laugesen, 2013. "Monotone Comparative Statics for the Industry Composition," Economics Working Papers 2013-10, Department of Economics and Business Economics, Aarhus University.
    45. Patsy Govender, 2012. "Do Not ‘Hit and Miss’ Or ‘Spray and Pray’, Diagnose First," Journal of Economics and Behavioral Studies, AMH International, vol. 4(12), pages 677-690.
    46. Abdulkareem Salameh Awwad & Omar Mohammed Ali Ababneh & Mahmoud Karasneh, 2022. "The Mediating Impact of IT Capabilities on the Association between Dynamic Capabilities and Organizational Agility: The Case of the Jordanian IT Sector," Global Journal of Flexible Systems Management, Springer;Global Institute of Flexible Systems Management, vol. 23(3), pages 315-330, September.
    47. Jan W. Rivkin, 2001. "Reproducing Knowledge: Replication Without Imitation at Moderate Complexity," Organization Science, INFORMS, vol. 12(3), pages 274-293, June.
    48. A. Leiponen, 1997. "Dynamic Competences and Firm Performance," Working Papers ir97006, International Institute for Applied Systems Analysis.
    49. Lambertini, Luca & Mantovani, Andrea, 2009. "Process and product innovation by a multiproduct monopolist: A dynamic approach," International Journal of Industrial Organization, Elsevier, vol. 27(4), pages 508-518, July.
    50. Emanuele Bacchiega & Luca Lambertini & Andrea Mantovaini, 2011. "Process And Product Innovation In A Vertically Differentiated Industry," International Game Theory Review (IGTR), World Scientific Publishing Co. Pte. Ltd., vol. 13(02), pages 209-221.
    51. Christine Halmenschlager & Andrea Mantovani & Michael Troege, 2011. "Demand Expansion And Elasticity Improvement As Complementary Marketing Goals," Manchester School, University of Manchester, vol. 79(1), pages 145-158, January.
    52. Baker, Erin & Shittu, Ekundayo, 2006. "Profit-maximizing R&D in response to a random carbon tax," Resource and Energy Economics, Elsevier, vol. 28(2), pages 160-180, May.
    53. Anton Bondarev, 2012. "The long-run dynamics of product and process innovations for a multi-product monopolist," Economics of Innovation and New Technology, Taylor & Francis Journals, vol. 21(8), pages 775-799, November.
    54. Maria Rosa Battaggion & Piero Tedeschi, 2006. "Do Process Innovations Induce Product Ones?," Working Papers (-2012) 0601, University of Bergamo, Department of Economics.
    55. A. Mantovani, 2005. "Complementarity between Product and Process innovation in a Monopoly Setting," Working Papers 533, Dipartimento Scienze Economiche, Universita' di Bologna.
    56. Dennis J. Snower & Alessio J. G. Brown & Christian Merkl, 2009. "Globalization and the Welfare State: A Review of Hans-Werner Sinn's Can Germany Be Saved?," Journal of Economic Literature, American Economic Association, vol. 47(1), pages 136-158, March.
    57. Belderbos, R.A. & Carree, M.A. & Lokshin, B., 2006. "Complementarity in R&D cooperation strategies," Research Memorandum 013, Maastricht University, Maastricht Research School of Economics of Technology and Organization (METEOR).
    58. Susan Athey & Armin Schmutzler, 1999. "Innovation and the Emergence of Market Dominance," Working papers 99-18, Massachusetts Institute of Technology (MIT), Department of Economics.
    59. Leiponen, Aija, 2002. "Competencies and Firm Performance - Increasing Returns from Knowledge Complementaries?," Discussion Papers 703, The Research Institute of the Finnish Economy.
    60. Hyunbae Chun & Sung-Bae Mun, 2014. "Innovative Activities of an Incumbent and a Potential Entrant: An Empirical Exploration of the Role of Uncertainty in Product and Process Innovations," Working Papers 1406, Nam Duck-Woo Economic Research Institute, Sogang University (Former Research Institute for Market Economy).
    61. Masso, Jaan & Tiwari, Amaresh K., 2024. "Productivity impacts of R&D and non-R&D modes of technological change for incumbents and entrants in a catching-up economy," Technological Forecasting and Social Change, Elsevier, vol. 199(C).
    62. Dawid, Herbert & Kopel, Michael & Kort, Peter M., 2010. "Innovation threats and strategic responses in oligopoly markets," Journal of Economic Behavior & Organization, Elsevier, vol. 75(2), pages 203-222, August.
    63. Lin, Ping & Saggi, Kamal, 2002. "Product differentiation, process R&D, and the nature of market competition," European Economic Review, Elsevier, vol. 46(1), pages 201-211, January.
    64. Jinyoung Kim, 2015. "Patent Portfolio Management of Sequential Inventions: Evidence from US Patent Renewal Data," Review of Industrial Organization, Springer;The Industrial Organization Society, vol. 47(2), pages 195-218, September.
    65. Jinyoung Kim, 2010. "Patent Portfolio Management of Sequential Innovations," Discussion Paper Series 1005, Institute of Economic Research, Korea University.
    66. Souresh Saha, 2007. "Consumer preferences and product and process R&D," RAND Journal of Economics, RAND Corporation, vol. 38(1), pages 250-268, March.
    67. R. Amir & A. Mantovani, 2003. "Self-organised Criticality and Technological Convergence," Working Papers 470, Dipartimento Scienze Economiche, Universita' di Bologna.
    68. Yasushi Asako & Tatsushi Okuda, 2017. "Guiding the Economy Toward the Target Inflation Rate: An Evolutionary Game Theory Approach," IMES Discussion Paper Series 17-E-03, Institute for Monetary and Economic Studies, Bank of Japan.
    69. Qian, Yingyi & Roland, Gerard & Xu, Cheng-Gang, 2003. "Coordinating tasks in M-form and U-form organisations," LSE Research Online Documents on Economics 3746, London School of Economics and Political Science, LSE Library.
    70. Even Caroli & John Van Reenen, 1999. "Organization, skill and technology: evidence from a panel of British and French establishments," IFS Working Papers W99/23, Institute for Fiscal Studies.
    71. Hennessy, David A., 1998. "Risk Market Innovations and Choice," Staff General Research Papers Archive 1205, Iowa State University, Department of Economics.
    72. Arghya Ghosh & Takao Kato & Hodaka Morita, 2012. "Continuous improvement and competitive pressure in the presence of discrete innovation," Discussion Papers 2012-17, School of Economics, The University of New South Wales.
    73. N. Lacetera & L. Zirulia, 2008. "Knowledge Spillovers, Competition, and R&D Incentive Contracts," Working Papers 624, Dipartimento Scienze Economiche, Universita' di Bologna.
    74. Anders Rosenstand Laugesen, 2017. "Asymmetric Monotone Comparative Statics for the Industry Compositions," Review of International Economics, Wiley Blackwell, vol. 25(2), pages 362-382, May.
    75. David A. Hennessy, 1999. "Input Decisions and Price‐Quality Schedules," Southern Economic Journal, John Wiley & Sons, vol. 66(1), pages 168-177, July.
    76. Myong‐Hun Chang, 1998. "Product Switching Cost and Strategic Flexibility," Journal of Economics & Management Strategy, Wiley Blackwell, vol. 7(3), pages 461-488, September.
    77. Maria Rosa Battaggion & Piero Tedeschi, 2021. "How do demand and costs affect the nature of innovation?," Journal of Economics, Springer, vol. 133(3), pages 199-238, August.
    78. Régis Chenavaz, 2011. "Dynamic pricing rule and R&D," Economics Bulletin, AccessEcon, vol. 31(3), pages 2229-2236.
    79. Yingyi Qian & Gerard Roland & Chenggang Xu, 2001. "Attribute Coordination in Organizations," Annals of Economics and Finance, Society for AEF, vol. 2(2), pages 487-518, November.
    80. Craciun Maria Alexandra, 2023. "Behavioral Economics and Technology Innovation: Using Choice Architecture to Build and Scale Products," Proceedings of the International Conference on Business Excellence, Sciendo, vol. 17(1), pages 904-913, July.
    81. Aija Leiponen, 2005. "Core complementarities of the corporation: organization of an innovating firm," Managerial and Decision Economics, John Wiley & Sons, Ltd., vol. 26(6), pages 351-365.
    82. Knobel, A., 2009. "Vertical Integration and Economic Growth: An Empirical Study," Journal of the New Economic Association, New Economic Association, issue 3-4, pages 54-70.
    83. Saha, Souresh, 2014. "Firm's objective function and product and process R&D," Economic Modelling, Elsevier, vol. 36(C), pages 484-494.
    84. Jinyoung Kim, 2015. "Patent Portfolio Management of Sequential Innovations: Theory and Empirics," Discussion Paper Series 1504, Institute of Economic Research, Korea University.
    85. Puay Khoon Toh & Gautam Ahuja, 2022. "Integration and appropriability: A study of process and product components within a firm's innovation portfolio," Strategic Management Journal, Wiley Blackwell, vol. 43(6), pages 1075-1109, June.
    86. Rouvinen, Petri, 1999. "Characteristics of Product and Process Innovators among Finnish Manufacturing Firms," Discussion Papers 690, The Research Institute of the Finnish Economy.
    87. Novo-Peteiro, Jose A., 2000. "New technologies, information reusability and diversification: A simple model of a banking firm," Information Economics and Policy, Elsevier, vol. 12(1), pages 69-88, March.
    88. Li, Shoude & Ni, Jian, 2016. "A dynamic analysis of investment in process and product innovation with learning-by-doing," Economics Letters, Elsevier, vol. 145(C), pages 104-108.

Chapters

  1. Susan Athey, 2018. "The Impact of Machine Learning on Economics," NBER Chapters, in: The Economics of Artificial Intelligence: An Agenda, pages 507-547, National Bureau of Economic Research, Inc.

    Cited by:

    1. John Aoga & Juhee Bae & Stefanija Veljanoska & Siegfried Nijssen & Pierre Schaus, 2020. "Impact of weather factors on migration intention using machine learning algorithms," Papers 2012.02794, arXiv.org.
    2. Blanquero, Rafael & Carrizosa, Emilio & Molero-Río, Cristina & Romero Morales, Dolores, 2020. "Sparsity in optimal randomized classification trees," European Journal of Operational Research, Elsevier, vol. 284(1), pages 255-272.
    3. Castle, Jennifer L. & Doornik, Jurgen A. & Hendry, David F., 2021. "Modelling non-stationary ‘Big Data’," International Journal of Forecasting, Elsevier, vol. 37(4), pages 1556-1575.
    4. Helmut Wasserbacher & Martin Spindler, 2022. "Machine learning for financial forecasting, planning and analysis: recent developments and pitfalls," Digital Finance, Springer, vol. 4(1), pages 63-88, March.
    5. Vu, Khoa & Vuong, Nguyen Dinh Tuan & Vu-Thanh, Tu-Anh & Nguyen, Anh Ngoc, 2022. "Income shock and food insecurity prediction Vietnam under the pandemic," World Development, Elsevier, vol. 153(C).
    6. Michael T. Kiley, 2020. "Financial Conditions and Economic Activity: Insights from Machine Learning," Finance and Economics Discussion Series 2020-095, Board of Governors of the Federal Reserve System (U.S.).
    7. Zhang, Qin & Ni, He & Xu, Hao, 2023. "Nowcasting Chinese GDP in a data-rich environment: Lessons from machine learning algorithms," Economic Modelling, Elsevier, vol. 122(C).
    8. Joey Blumberg & Gary Thompson, 2022. "Nonparametric segmentation methods: Applications of unsupervised machine learning and revealed preference," American Journal of Agricultural Economics, John Wiley & Sons, vol. 104(3), pages 976-998, May.
    9. Onder Ozgur & Erdal Tanas Karagol & Fatih Cemil Ozbugday, 2021. "Machine learning approach to drivers of bank lending: evidence from an emerging economy," Financial Innovation, Springer;Southwestern University of Finance and Economics, vol. 7(1), pages 1-29, December.
    10. Goller, Daniel & Harrer, Tamara & Lechner, Michael & Wolff, Joachim, 2021. "Active labour market policies for the long-term unemployed: New evidence from causal machine learning," Economics Working Paper Series 2108, University of St. Gallen, School of Economics and Political Science.
    11. Byron Botha & Rulof Burger & Kevin Kotze & Neil Rankin & Daan Steenkamp, 2022. "Big data forecasting of South African inflation," School of Economics Macroeconomic Discussion Paper Series 2022-03, School of Economics, University of Cape Town.
    12. Longo, Luigi & Riccaboni, Massimo & Rungi, Armando, 2022. "A neural network ensemble approach for GDP forecasting," Journal of Economic Dynamics and Control, Elsevier, vol. 134(C).
    13. Wang, Xin (Shane) & Ryoo, Jun Hyun (Joseph) & Bendle, Neil & Kopalle, Praveen K., 2021. "The role of machine learning analytics and metrics in retailing research," Journal of Retailing, Elsevier, vol. 97(4), pages 658-675.
    14. Carlos Mendez, 2019. "Lack of Global Convergence and the Formation of Multiple Welfare Clubs across Countries: An Unsupervised Machine Learning Approach," Economies, MDPI, vol. 7(3), pages 1-17, July.
    15. René Böheim & Philipp Stöllinger, 2020. "Decomposition of the Gender Wage Gap using the LASSO Estimator," Economics working papers 2020-03, Department of Economics, Johannes Kepler University Linz, Austria.
    16. Gabriel Okasa, 2022. "Meta-Learners for Estimation of Causal Effects: Finite Sample Cross-Fit Performance," Papers 2201.12692, arXiv.org.
    17. Philippe Goulet Coulombe & Maxime Leroux & Dalibor Stevanovic & Stéphane Surprenant, 2019. "How is Machine Learning Useful for Macroeconomic Forecasting?," CIRANO Working Papers 2019s-22, CIRANO.
    18. Fotios Petropoulos & Daniele Apiletti & Vassilios Assimakopoulos & Mohamed Zied Babai & Devon K. Barrow & Souhaib Ben Taieb & Christoph Bergmeir & Ricardo J. Bessa & Jakub Bijak & John E. Boylan & Jet, 2020. "Forecasting: theory and practice," Papers 2012.03854, arXiv.org, revised Jan 2022.
    19. Eslam Satarzadeh & Amirpouya Sarraf & Hooman Hajikandi & Mohammad Sadegh Sadeghian, 2022. "Flood hazard mapping in western Iran: assessment of deep learning vis-à-vis machine learning models," Natural Hazards: Journal of the International Society for the Prevention and Mitigation of Natural Hazards, Springer;International Society for the Prevention and Mitigation of Natural Hazards, vol. 111(2), pages 1355-1373, March.
    20. Knaus, Michael C., 2018. "A Double Machine Learning Approach to Estimate the Effects of Musical Practice on Student's Skills," IZA Discussion Papers 11547, Institute of Labor Economics (IZA).
    21. Andini, Monica & Boldrini, Michela & Ciani, Emanuele & de Blasio, Guido & D'Ignazio, Alessio & Paladini, Andrea, 2022. "Machine learning in the service of policy targeting: The case of public credit guarantees," Journal of Economic Behavior & Organization, Elsevier, vol. 198(C), pages 434-475.
    22. Barkan, Oren & Benchimol, Jonathan & Caspi, Itamar & Cohen, Eliya & Hammer, Allon & Koenigstein, Noam, 2023. "Forecasting CPI inflation components with Hierarchical Recurrent Neural Networks," International Journal of Forecasting, Elsevier, vol. 39(3), pages 1145-1162.
    23. Strittmatter, Anthony, 2019. "What is the Value Added by using Causal Machine Learning Methods in a Welfare Experiment Evaluation?," VfS Annual Conference 2019 (Leipzig): 30 Years after the Fall of the Berlin Wall - Democracy and Market Economy 203499, Verein für Socialpolitik / German Economic Association.
    24. Kea BARET & Theophilos PAPADIMITRIOU, 2019. "On the Stability and Growth Pact compliance: what is predictable with machine learning?," Working Papers of BETA 2019-48, Bureau d'Economie Théorique et Appliquée, UDS, Strasbourg.
    25. Raaz Dwivedi & Yan Shuo Tan & Briton Park & Mian Wei & Kevin Horgan & David Madigan & Bin Yu, 2020. "Stable Discovery of Interpretable Subgroups via Calibration in Causal Studies," International Statistical Review, International Statistical Institute, vol. 88(S1), pages 135-178, December.
    26. Hazar Altınbaş & Vincenzo Pacelli & Edgardo Sica, 2022. "An Empirical Assessment of the Contagion Determinants in the Euro Area in a Period of Sovereign Debt Risk," Italian Economic Journal: A Continuation of Rivista Italiana degli Economisti and Giornale degli Economisti, Springer;Società Italiana degli Economisti (Italian Economic Association), vol. 8(2), pages 339-371, July.
    27. Ströbel, Johannes & Bailey, Michael & Johnston, Drew & Kuchler, Theresa & Wong, Arlene, 2019. "Peer Effects in Product Adoption," CEPR Discussion Papers 13731, C.E.P.R. Discussion Papers.
    28. Michael Pollmann, 2020. "Causal Inference for Spatial Treatments," Papers 2011.00373, arXiv.org, revised Jan 2023.
    29. Kea BARET, 2021. "Fiscal rules’ compliance and Social Welfare," Working Papers of BETA 2021-38, Bureau d'Economie Théorique et Appliquée, UDS, Strasbourg.
    30. Goller, Daniel & Knaus, Michael C. & Lechner, Michael & Okasa, Gabriel, 2018. "Predicting Match Outcomes in Football by an Ordered Forest Estimator," Economics Working Paper Series 1811, University of St. Gallen, School of Economics and Political Science.
    31. Michael C. Knaus & Michael Lechner & Anthony Strittmatter, 2018. "Machine Learning Estimation of Heterogeneous Causal Effects: Empirical Monte Carlo Evidence," Papers 1810.13237, arXiv.org, revised Dec 2018.
    32. James T. E. Chapman & Ajit Desai, 2023. "Macroeconomic Predictions Using Payments Data and Machine Learning," Forecasting, MDPI, vol. 5(4), pages 1-32, November.
    33. Di Fang & Michael R. Thomsen & Rodolfo M. Nayga & Aaron M. Novotny, 2019. "WIC Participation and Relative Quality of Household Food Purchases: Evidence from FoodAPS," Southern Economic Journal, John Wiley & Sons, vol. 86(1), pages 83-105, July.
    34. Boubacar Diallo, 2022. "Machine learning approaches to testing institutional hypotheses: the case of Acemoglu, Johnson, and Robinson (2001)," Empirical Economics, Springer, vol. 62(5), pages 2587-2600, May.
    35. Kindel, Alexander & Bansal, Vineet & Catena, Kristin & Hartshorne, Thomas & Jaeger, Kate & Koffman, Dawn & McLanahan, Sara & Phillips, Maya & Rouhani, Shiva & Vinh, Ryan, 2018. "Improving metadata infrastructure for complex surveys: Insights from the Fragile Families Challenge," SocArXiv u8spj, Center for Open Science.
    36. Kea Baret & Amelie Barbier-Gauchard & Theophilos Papadimitriou, 2022. "Forecasting the Stability and Growth Pact compliance using Machine Learning," Working Papers 2022.11, International Network for Economic Research - INFER.
    37. Yves-C'edric Bauwelinckx & Jan Dhaene & Tim Verdonck & Milan van den Heuvel, 2023. "On the causality-preservation capabilities of generative modelling," Papers 2301.01109, arXiv.org.
    38. Tinglong Dai & Kelly Gleason & Chao‐Wei Hwang & Patricia Davidson, 2021. "Heart analytics: Analytical modeling of cardiovascular care," Naval Research Logistics (NRL), John Wiley & Sons, vol. 68(1), pages 30-43, February.
    39. Michael Allan Ribers & Hannes Ullrich, 2020. "Machine Predictions and Human Decisions with Variation in Payoffs and Skills," Discussion Papers of DIW Berlin 1911, DIW Berlin, German Institute for Economic Research.
    40. Mathias Bärtl & Simone Krummaker, 2020. "Prediction of Claims in Export Credit Finance: A Comparison of Four Machine Learning Techniques," Risks, MDPI, vol. 8(1), pages 1-27, March.
    41. Colombo, Emilio & Pelagatti, Matteo, 2020. "Statistical learning and exchange rate forecasting," International Journal of Forecasting, Elsevier, vol. 36(4), pages 1260-1289.
    42. Longbing Cao, 2021. "AI in Finance: Challenges, Techniques and Opportunities," Papers 2107.09051, arXiv.org.
    43. Philipp Mohl & Gilles Mourre & Sven Langedijk & Martijn Hoogeland, 2021. "Does Media Visibility Make EU Fiscal Rules More Effective?," European Economy - Discussion Papers 155, Directorate General Economic and Financial Affairs (DG ECFIN), European Commission.
    44. Daniel Boller & Michael Lechner & Gabriel Okasa, 2021. "The Effect of Sport in Online Dating: Evidence from Causal Machine Learning," Papers 2104.04601, arXiv.org.
    45. Paolo Brunori & Vito Peragine & Laura Serlenga, 2017. "Upward and downward bias when measuring inequality of opportunity," Working Papers - Economics wp2017_02.rdf, Universita' degli Studi di Firenze, Dipartimento di Scienze per l'Economia e l'Impresa.
    46. Youssef M. Aboutaleb & Mazen Danaf & Yifei Xie & Moshe Ben-Akiva, 2021. "Discrete Choice Analysis with Machine Learning Capabilities," Papers 2101.10261, arXiv.org.
    47. Manav Raj & Robert Seamans, 2019. "Primer on artificial intelligence and robotics," Journal of Organization Design, Springer;Organizational Design Community, vol. 8(1), pages 1-14, December.
    48. Bessen, James & Impink, Stephen Michael & Reichensperger, Lydia & Seamans, Robert, 2022. "The role of data for AI startup growth," Research Policy, Elsevier, vol. 51(5).
    49. Brand, Claus & Ferrante, Lorenzo & Hubert, Antoine, 2019. "From cash- to securities-driven euro area repo markets: the role of financial stress and safe asset scarcity," Working Paper Series 2232, European Central Bank.
    50. Rui (Aruhan) Shi, 2021. "Learning from Zero: How to Make Consumption-Saving Decisions in a Stochastic Environment with an AI Algorithm," CESifo Working Paper Series 9255, CESifo.
    51. Xuqi Chen & Yan Heng & Zhifeng Gao & Yuan Jiang, 2022. "Impacts of duo‐regional generic advertising of social media on consumer preference," Agribusiness, John Wiley & Sons, Ltd., vol. 38(1), pages 21-44, January.
    52. Bauer, Kevin & Pfeuffer, Nicolas & Abdel-Karim, Benjamin M. & Hinz, Oliver & Kosfeld, Michael, 2020. "The terminator of social welfare? The economic consequences of algorithmic discrimination," SAFE Working Paper Series 287, Leibniz Institute for Financial Research SAFE.
    53. Robertas Damasevicius, 2023. "Progress, Evolving Paradigms and Recent Trends in Economic Analysis," Financial Economics Letters, Anser Press, vol. 2(2), pages 35-47, October.
    54. Pablo Picardo, 2019. "Predicción de precios de vivienda: Aprendizaje estadístico con datos de oferta y transacciones para la ciudad de Montevideo," Documentos de trabajo 2019002, Banco Central del Uruguay.
    55. Blanquero, Rafael & Carrizosa, Emilio & Molero-Río, Cristina & Morales, Dolores Romero, 2022. "On sparse optimal regression trees," European Journal of Operational Research, Elsevier, vol. 299(3), pages 1045-1054.
    56. Galdo,Virgilio & Li,Yue-000316086 & Rama,Martin G., 2020. "Identifying Urban Areas by Combining Human Judgment and Machine Learning : An Application to India," Policy Research Working Paper Series 0160, The World Bank.
    57. Boger, Tal, 2018. "Forecasting Inflation in Iran by Applying Maching Learning Algorithms to PPP Lag," Studies in Applied Economics 126, The Johns Hopkins Institute for Applied Economics, Global Health, and the Study of Business Enterprise.
    58. Majid Bazarbash, 2019. "FinTech in Financial Inclusion: Machine Learning Applications in Assessing Credit Risk," IMF Working Papers 2019/109, International Monetary Fund.
    59. Susan Athey & Guido Imbens, 2019. "Machine Learning Methods Economists Should Know About," Papers 1903.10075, arXiv.org.
    60. Christophe Croux & Julapa Jagtiani & Tarunsai Korivi & Milos Vulanovic, 2020. "Important Factors Determining Fintech Loan Default: Evidence from the LendingClub Consumer Platform," Working Papers 20-15, Federal Reserve Bank of Philadelphia.
    61. Jeffrey Clemens & Parker Rogers, 2020. "Demand Shocks, Procurement Policies, and the Nature of Medical Innovation: Evidence from Wartime Prosthetic Device Patents," NBER Working Papers 26679, National Bureau of Economic Research, Inc.
    62. Li, Jiyuan & Li, Zihui & Zhang, Min, 2023. "CFOs’ facial trustworthiness and bank loan contracts," International Review of Economics & Finance, Elsevier, vol. 84(C), pages 332-357.
    63. Falco J. Bargagli-Stoffi & Jan Niederreiter & Massimo Riccaboni, 2020. "Supervised learning for the prediction of firm dynamics," Papers 2009.06413, arXiv.org.
    64. Herrera, Diego & Cunniff, Shannon & DuPont, Carolyn & Cohen, Benjamin & Gangi, Dakota & Kar, Devyani & Peyronnin Snider, Natalie & Rojas, Victor & Wyerman, Jim & Norriss, Jessie & Mountenot, Marshall, 2019. "Designing an environmental impact bond for wetland restoration in Louisiana," Ecosystem Services, Elsevier, vol. 35(C), pages 260-276.
    65. Brieland, Stephanie & Töpfer, Marina, 2020. "The gender pay gap revisited: Does machine learning offer new insights?," Discussion Papers 111, Friedrich-Alexander University Erlangen-Nuremberg, Chair of Labour and Regional Economics.
    66. Ron Tidhar & Kathleen M. Eisenhardt, 2020. "Get rich or die trying… finding revenue model fit using machine learning and multiple cases," Strategic Management Journal, Wiley Blackwell, vol. 41(7), pages 1245-1273, July.
    67. Pollack, Adam B. & Kaufmann, Robert K., 2022. "Increasing storm risk, structural defense, and house prices in the Florida Keys," Ecological Economics, Elsevier, vol. 194(C).
    68. Fabio Pammolli & Paolo Bonaretti & Massimo Riccaboni & Valentina Tortolini, 2019. "Quali Regole per la Spesa Farmaceutica? - Criticità, Impatti, Proposte," Working Papers CERM 01-2019, Competitività, Regole, Mercati (CERM).
    69. Alexander Kindel & Vineet Bansal & Kristin Catena & Thomas Hartshorne & Kate Jaeger, 2018. "Improving metadata infrastructure for complex surveys: 
Insights from the Fragile Families Challenge," Working Papers wp18-10-ff, Princeton University, School of Public and International Affairs, Center for Research on Child Wellbeing..
    70. Panos Constantinides & Ola Henfridsson & Geoffrey G. Parker, 2018. "Introduction—Platforms and Infrastructures in the Digital Age," Information Systems Research, INFORMS, vol. 29(2), pages 381-400, June.
    71. Pawel Dlotko & Simon Rudkin & Wanling Qiu, 2019. "Topologically Mapping the Macroeconomy," Papers 1911.10476, arXiv.org.
    72. Thomas H. McInish & Olena Nikolsko‐Rzhevska & Alex Nikolsko‐Rzhevskyy & Irina Panovska, 2020. "Fast and slow cancellations and trader behavior," Financial Management, Financial Management Association International, vol. 49(4), pages 973-996, December.
    73. Kea BARET, 2021. "Fiscal rules’ compliance and Social Welfare," Working Papers of BETA 2021-50, Bureau d'Economie Théorique et Appliquée, UDS, Strasbourg.
    74. Heigle, Julia & Pfeiffer, Friedhelm, 2019. "An analysis of selected labor market outcomes of college dropouts in Germany: A machine learning estimation approach. Research report," ZEW Expertises, ZEW - Leibniz Centre for European Economic Research, number 222378.
    75. Moreno Badia, Marialuz & Medas, Paulo & Gupta, Pranav & Xiang, Yuan, 2022. "Debt is not free," Journal of International Money and Finance, Elsevier, vol. 127(C).
    76. Yacoubou Djima, Ismael & Kilic, Talip, 2024. "Attenuating measurement errors in agricultural productivity analysis by combining objective and self-reported survey data," Journal of Development Economics, Elsevier, vol. 168(C).
    77. Ajay Agrawal & Joshua Gans & Avi Goldfarb, 2019. "Economic Policy for Artificial Intelligence," Innovation Policy and the Economy, University of Chicago Press, vol. 19(1), pages 139-159.
    78. Maria-Carmen García-Centeno & Román Mínguez-Salido & Raúl del Pozo-Rubio, 2021. "The Classification of Profiles of Financial Catastrophe Caused by Out-of-Pocket Payments: A Methodological Approach," Mathematics, MDPI, vol. 9(11), pages 1-20, May.
    79. Paolo Brunori & Paul Hufe & Daniel Mahler, 2023. "The roots of inequality: estimating inequality of opportunity from regression trees and forests," Scandinavian Journal of Economics, Wiley Blackwell, vol. 125(4), pages 900-932, October.
    80. Koffi Dumor & Komlan Gbongli, 2021. "Trade impacts of the New Silk Road in Africa: Insight from Neural Networks Analysis," Theory Methodology Practice (TMP), Faculty of Economics, University of Miskolc, vol. 17(02), pages 13-26.
    81. Koffi Dumor & Li Yao, 2019. "Estimating China’s Trade with Its Partner Countries within the Belt and Road Initiative Using Neural Network Analysis," Sustainability, MDPI, vol. 11(5), pages 1-22, March.
    82. Michael A. Ribers & Hannes Ullrich, 2019. "Battling Antibiotic Resistance: Can Machine Learning Improve Prescribing?," Discussion Papers of DIW Berlin 1803, DIW Berlin, German Institute for Economic Research.
    83. Born, Andreas & Janssen, Aljoscha, 2022. "Does a district mandate matter for the behavior of politicians? An analysis of roll-call votes and parliamentary speeches," European Journal of Political Economy, Elsevier, vol. 71(C).
    84. Davide Viviano & Jelena Bradic, 2019. "Synthetic learner: model-free inference on treatments over time," Papers 1904.01490, arXiv.org, revised Aug 2022.
    85. Ritu Agarwal & Michelle Dugas & Guodong (Gordon) Gao, 2024. "Augmenting physicians with artificial intelligence to transform healthcare: Challenges and opportunities," Journal of Economics & Management Strategy, Wiley Blackwell, vol. 33(2), pages 360-374, March.
    86. Born, Andreas & Janssen, Aljoscha, 2020. "Does a District-Vote Matter for the Behavior of Politicians? A Textual Analysis of Parliamentary Speeches," Working Paper Series 1320, Research Institute of Industrial Economics.
    87. Li, Qing & Yu, Shuai & Échevin, Damien & Fan, Min, 2022. "Is poverty predictable with machine learning? A study of DHS data from Kyrgyzstan," Socio-Economic Planning Sciences, Elsevier, vol. 81(C).
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