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Max H Farrell

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.

Working papers

  1. Matias D. Cattaneo & Richard K. Crump & Max H. Farrell & Yingjie Feng, 2024. "Nonlinear Binscatter Methods," Papers 2407.15276, arXiv.org.

    Cited by:

    1. Crump, Richard K. & Eusepi, Stefano & Giannoni, Marc & Şahin, Ayşegül, 2024. "The unemployment–inflation trade-off revisited: The Phillips curve in COVID times," Journal of Monetary Economics, Elsevier, vol. 145(S).

  2. 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.

    Cited by:

    1. 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).
    2. 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.
    3. Simon, Frederik & Weibels, Sebastian & Zimmermann, Tom, 2023. "Deep parametric portfolio policies," CFR Working Papers 23-01, University of Cologne, Centre for Financial Research (CFR).
    4. Pranjal Rawat, 2024. "A Deep Learning Approach to Heterogeneous Consumer Aesthetics in Retail Fashion," Papers 2405.10498, arXiv.org.

  3. Matias D. Cattaneo & Max H. Farrell & Yingjie Feng, 2019. "lspartition: Partitioning-Based Least Squares Regression," Papers 1906.00202, arXiv.org, revised Aug 2019.

    Cited by:

    1. Yechan Park & Yuya Sasaki, 2024. "Matching $\leq$ Hybrid $\leq$ Difference in Differences," Papers 2411.07952, arXiv.org.

  4. Matias D. Cattaneo & Richard K. Crump & Max H. Farrell & Yingjie Feng, 2019. "Binscatter Regressions," Papers 1902.09615, arXiv.org, revised Jul 2024.

    Cited by:

    1. Stefano Eusepi & Giorgio Topa & Andrea Tambalotti & Richard Crump, 2016. "Subjective Intertemporal Substitution," 2016 Meeting Papers 83, Society for Economic Dynamics.
    2. 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.
    3. Raphael Brade, 2024. "Short-Term Events, Long-Term Friends? Freshman Orientation Peers and Academic Performance," CESifo Working Paper Series 11046, CESifo.

  5. Sebastian Calonico & Matias D. Cattaneo & Max H. Farrell, 2019. "nprobust: Nonparametric Kernel-Based Estimation and Robust Bias-Corrected Inference," Papers 1906.00198, arXiv.org.

    Cited by:

    1. 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.
    2. Chalak, Karim, 2024. "Nonparametric Gini-Frisch bounds," Journal of Econometrics, Elsevier, vol. 238(1).

  6. Sebastian Calonico & Matias D. Cattaneo & Max H. Farrell, 2018. "Optimal Bandwidth Choice for Robust Bias Corrected Inference in Regression Discontinuity Designs," Papers 1809.00236, arXiv.org, revised Jan 2020.

    Cited by:

    1. Yoichi Arai & Yu-Chin Hsu & Toru Kitagawa & Ismael Mourifié & Yuanyuan Wan, 2021. "Testing identifying assumptions in fuzzy regression discontinuity designs," CeMMAP working papers CWP16/21, Centre for Microdata Methods and Practice, Institute for Fiscal Studies.
    2. Tao Lin & Wenhao Qian & Hongwei Wang & Yu Feng, 2022. "Air Pollution and Workplace Choice: Evidence from China," IJERPH, MDPI, vol. 19(14), pages 1-23, July.
    3. Cramer, Kim Fe, 2023. "Bank presence and health," LSE Research Online Documents on Economics 119194, London School of Economics and Political Science, LSE Library.
    4. Shamsuddin, Mrittika & Acosta, Pablo A. & Schwengber, Rovane Battaglin & Fix, Jedediah & Pirani, Nikolas, 2022. "The Labor Market Impacts of Venezuelan Refugees and Migrants in Brazil," IZA Discussion Papers 15384, Institute of Labor Economics (IZA).
    5. Mario Carillo & Gemma Dipoppa & Shanker Satyanath, 2023. "Fascist ideology and migrant labor exploitation," Economics Working Papers 1865, Department of Economics and Business, Universitat Pompeu Fabra.
    6. Long Mark C. & Rooklyn Jordan, 2024. "Regression(s) discontinuity: Using bootstrap aggregation to yield estimates of RD treatment effects," Journal of Causal Inference, De Gruyter, vol. 12(1), pages 1-21, January.
    7. Frederik Noack & Ashley Larsen & Johannes Kamp & Christian Levers, 2022. "A bird's eye view of farm size and biodiversity: The ecological legacy of the iron curtain," American Journal of Agricultural Economics, John Wiley & Sons, vol. 104(4), pages 1460-1484, August.
    8. Christina Korting & Carl Lieberman & Jordan Matsudaira & Zhuan Pei & Yi Shen, 2021. "Visual Inference and Graphical Representation in Regression Discontinuity Designs," Papers 2112.03096, arXiv.org, revised Jan 2023.
    9. Paredes, Tatiana & Sevilla, Almudena, 2024. "The impact of incentivizing training on students’ outcomes," Economics of Education Review, Elsevier, vol. 98(C).
    10. Vanessa Cirulli & Giuliano Resce & Marco Ventura, 2024. "Co-payment exemption and healthcare consumption: quasi-experimental evidence from Italy," Empirical Economics, Springer, vol. 67(1), pages 355-380, July.
    11. Natalia Serna, 2021. "Cost sharing and the demand for health services in a regulated market," Health Economics, John Wiley & Sons, Ltd., vol. 30(6), pages 1259-1275, June.
    12. Wang, Yanbing & Schaub, Sergei & Wuepper, David & Finger, Robert, 2022. "Culture and Agricultural Biodiversity Conservation," 96th Annual Conference, April 4-6, 2022, K U Leuven, Belgium 321224, Agricultural Economics Society - AES.
    13. David Wuepper & Robert Finger, 2023. "Regression discontinuity designs in agricultural and environmental economics," European Review of Agricultural Economics, Oxford University Press and the European Agricultural and Applied Economics Publications Foundation, vol. 50(1), pages 1-28.
    14. Martha J. Bailey & Tanya S. Byker & Elena Patel & Shanthi Ramnath, 2019. "The Long-Run Effects of California’s Paid Family Leave Act on Women’s Careers and Childbearing: New Evidence from a Regression Discontinuity Design and U.S. Tax Data," NBER Working Papers 26416, National Bureau of Economic Research, Inc.
    15. Giacomo Battiston & Gianmarco Daniele & Marco Le Moglie & Paolo Pinotti, 2022. "Fueling Organized Crime: The Mexican War on Drugs and Oil Thefts," CESifo Working Paper Series 9521, CESifo.
    16. Balila Acurio & Alessandro Tomarchio, 2024. "The Effects of Business Credit Support Programs: Evidence from a Regression Discontinuity Design," IHEID Working Papers 20-2024, Economics Section, The Graduate Institute of International Studies.
    17. Dongkyu Park & Nori Tarui, 2024. "The Effect of Diesel Vehicle Regulation on Air Quality in Seoul: Evidence from Seoul’s Low Emission Zone," Sustainability, MDPI, vol. 16(21), pages 1-20, November.
    18. Wuepper, David & Borrelli, Pasquale & Müller, Daniel & Finger, Robert, 2020. "Quantifying the soil erosion legacy of the Soviet Union," EconStor Open Access Articles and Book Chapters, ZBW - Leibniz Information Centre for Economics, vol. 185.
    19. Heraud, Florian & Page, Lionel, 2024. "Does the left-digit bias affect prices in financial markets?," Journal of Economic Behavior & Organization, Elsevier, vol. 218(C), pages 20-29.
    20. Daniele, Gianmarco & Romarri, Alessio & Vertier, Paul, 2021. "Dynasties and policymaking," Journal of Economic Behavior & Organization, Elsevier, vol. 190(C), pages 89-110.
    21. Ghirelli, Corinna & Havari, Enkelejda & Meroni, Elena Claudia & Verzillo, Stefano, 2023. "The Long-Term Causal Effects of Winning an ERC Grant," IZA Discussion Papers 16108, Institute of Labor Economics (IZA).
    22. Victor Hernandez Martinez & Kaixin Liu, 2022. "The Value of Unemployment Insurance: Liquidity vs. Insurance Value," Working Papers 22-16, Federal Reserve Bank of Cleveland.
    23. Mohamed Ebeid & Umut Oguzoglu, 2023. "Short‐term effect of retirement on health: Evidence from nonparametric fuzzy regression discontinuity design," Health Economics, John Wiley & Sons, Ltd., vol. 32(6), pages 1323-1343, June.
    24. Sefa Awaworyi Churchill & Nasir Iqbal & Saima Nawaz & Siew Ling Yew, 2024. "Do unconditional cash transfers increase fertility? Lessons from a large‐scale program," Economic Inquiry, Western Economic Association International, vol. 62(1), pages 74-96, January.
    25. Simon Briole & Augustin Colette & Emmanuelle Lavaine, 2023. "The Heterogeneous Effects of Lockdown Policies on Air Pollution," CEE-M Working Papers hal-04084912, CEE-M, Universtiy of Montpellier, CNRS, INRA, Montpellier SupAgro.
    26. Babii, Andrii & Kumar, Rohit, 2023. "Isotonic regression discontinuity designs," Journal of Econometrics, Elsevier, vol. 234(2), pages 371-393.
    27. Pedro S. Martins, 2016. "Should the maximum duration of fixed-term contracts increase in recessions? Evidence from a law reform," Nova SBE Working Paper Series wp606, Universidade Nova de Lisboa, Nova School of Business and Economics.
    28. Eric J. Brunner & Shaun Dougherty & Stephen L. Ross, 2019. "The Effects of Career and Technical Education: Evidence from the Connecticut Technical High School System," Working papers 2019-13, University of Connecticut, Department of Economics.
    29. Mike Brewer & Sarah Cattan & Claire Crawford & Birgitta Rabe, 2020. "Does more free childcare help parents work more?," IFS Working Papers W20/9, Institute for Fiscal Studies.
    30. Britto, Diogo & Daniele, Gianmarco & Le Moglie, Marco & Pinotti, Paolo & Sampaio, Breno, 2024. "A Few Bad Apples? Criminal Charges, Political Careers, and Policy Outcomes," IZA Discussion Papers 17328, Institute of Labor Economics (IZA).
    31. He, Yang & Bartalotti, Otávio, 2020. "Wild bootstrap for fuzzy regression discontinuity designs: obtaining robust bias-corrected confidence intervals," ISU General Staff Papers 202005010700001071, Iowa State University, Department of Economics.
    32. Badunenko, Oleg & D’Inverno, Giovanna & De Witte, Kristof, 2023. "On distinguishing the direct causal effect of an intervention from its efficiency-enhancing effects," European Journal of Operational Research, Elsevier, vol. 310(1), pages 432-447.
    33. Hasan, Rana & Jiang, Yi & Rafols, Radine Michelle, 2021. "Place-based preferential tax policy and industrial development: Evidence from India’s program on industrially backward districts," Journal of Development Economics, Elsevier, vol. 150(C).
    34. Cañedo, Ana P. & Fabregas, Raissa & Gupta, Prankur, 2023. "Emergency cash transfers for informal workers: Impact evidence from Mexico," Journal of Public Economics, Elsevier, vol. 219(C).
    35. Richard Bluhm & Maxim Pinkovskiy, 2021. "The spread of COVID-19 and the BCG vaccine: A natural experiment in reunified Germany," The Econometrics Journal, Royal Economic Society, vol. 24(3), pages 353-376.
    36. Kulka. Amrita & Sood, Aradhya & Chiumenti, Nicholas, 2022. "How to Increase Housing A ordability? Understanding Local Deterrents to Building Multifamily Housing," CAGE Online Working Paper Series 635, Competitive Advantage in the Global Economy (CAGE).
    37. Guarnieri, Eleonora & Rainer, Helmut, 2021. "Colonialism and female empowerment: A two-sided legacy," Journal of Development Economics, Elsevier, vol. 151(C).
    38. Pastore, C.; & Jones, A.M.;, 2019. "Human capital consequences of missing out on a grammar school education," Health, Econometrics and Data Group (HEDG) Working Papers 19/08, HEDG, c/o Department of Economics, University of York.
    39. Basaglia, Piero & Isaksen, Elisabeth & Sato, Misato, 2024. "Carbon pricing, compensation and competitiveness: lessons from UK manufacturing," LSE Research Online Documents on Economics 122364, London School of Economics and Political Science, LSE Library.
    40. Alex Albright, 2024. "The Hidden Effects of Algorithmic Recommendations," Opportunity and Inclusive Growth Institute Working Papers 104, Federal Reserve Bank of Minneapolis.
    41. Shamsuddin,Mrittika & Acosta,Pablo Ariel & Battaglin Schwengber,Rovane & Fix,Jedediah Rooney & Pirani,Nikolas, 2021. "Economic and Fiscal Impacts of Venezuelan Refugees and Migrants in Brazil," Policy Research Working Paper Series 9797, The World Bank.
    42. Dragan Filipovich & Miguel Niño-Zarazúa & Alma Santillán Hernández, 2021. "Voter coercion and pro-poor redistribution in rural Mexico," WIDER Working Paper Series wp-2021-141, World Institute for Development Economic Research (UNU-WIDER).
    43. Hirani, Jonas Cuzulan & Wüst, Miriam, 2024. "Reminder design and childhood vaccination coverage," Journal of Health Economics, Elsevier, vol. 93(C).
    44. Katharina Brütt & Huaiping Yuan, 2022. "Pitfalls of pay transparency: Evidence from the lab and the field," Tinbergen Institute Discussion Papers 22-055/I, Tinbergen Institute.
    45. Sarmiento, Luis & Wägner, Nicole & Zaklan, Aleksandar, 2021. "Effectiveness, Spillovers, and Well-Being Effects of Driving Restriction Policies," RFF Working Paper Series 21-13, Resources for the Future.
    46. Clarke, Damian & Bustos, Nicolás Lillo & Tapia-­Schythe, Kathya, 2022. "Estimating Inter-Generational Returns to Medical Care: New Evidence from At­-Risk Newborns," IZA Discussion Papers 15593, Institute of Labor Economics (IZA).
    47. Mauricio Villamizar-Villegas & Freddy A. Pinzón-Puerto & María Alejandra Ruiz-Sánchez, 2020. "A Comprehensive History of Regression Discontinuity Designs: An Empirical Survey of the last 60 Years," Borradores de Economia 1112, Banco de la Republica de Colombia.
    48. Busso, Matias & Montaño, Sebastián & Muñoz-Morales, Juan, 2023. "Signaling Specific Skills and the Labor Market of College Graduates," Working papers 108, Red Investigadores de Economía.
    49. Sager, Lutz & Singer, Gregor, 2023. "Clean identification? The effects of the Clean Air Act on air pollution, exposure disparities and house prices," LSE Research Online Documents on Economics 115528, London School of Economics and Political Science, LSE Library.
    50. Shreya Biswas & Upasak Das & Sandhya Garg, 2024. "Growing with greener pastures: Examining the role of graduate politicians on forest cover in India," IEG Working Papers 463, Institute of Economic Growth.
    51. Zhang, Kexin, 2023. "The long-term impact of higher education: Evidence from the Gaokao reinstatement in China," Economics of Education Review, Elsevier, vol. 97(C).
    52. Diogo G. C. Britto & Gianmarco Daniele & Marco Le Moglie & Paolo Pinotti & Breno Sampaio, 2024. "A Few Bad Apples? Criminal Charges, Political Careers, and Policy Outcomes," CESifo Working Paper Series 11382, CESifo.
    53. Drake, Coleman & Anderson, David & Cai, Sih-Ting & Sacks, Daniel W., 2023. "Financial transaction costs reduce benefit take-up evidence from zero-premium health insurance plans in Colorado," Journal of Health Economics, Elsevier, vol. 89(C).
    54. Hiesinger, Karolin, 2022. "Cost of Inclusion? Intended and Non-intended Effects of the Employment Quota for Workers with Disabilities," VfS Annual Conference 2022 (Basel): Big Data in Economics 264026, Verein für Socialpolitik / German Economic Association.
    55. Jaakko Meriläinen & Janne Tukiainen, 2021. "The Advantage of Incumbents in Coalitional Bargaining," Discussion Papers 137, Aboa Centre for Economics.
    56. Gałecka-Burdziak, Ewa & Jessen, Jonas & Jessen, Robin & Johnston, Andrew, 2024. "Moral Hazard among the Employed: Evidence from Regression Discontinuity," VfS Annual Conference 2024 (Berlin): Upcoming Labor Market Challenges 302445, Verein für Socialpolitik / German Economic Association.
    57. Kulka. Amrita & Sood, Aradhya & Chiumenti, Nicholas, 2022. "How to Increase Housing A ordability? Understanding Local Deterrents to Building Multifamily Housing," The Warwick Economics Research Paper Series (TWERPS) 1420, University of Warwick, Department of Economics.
    58. Arisi, Diego & Cortés, Alix & Delic, Diego & Rossi, Martín, 2022. "Knowledge for Results and the Efficiency of Public Agencies in Colombia," IDB Publications (Working Papers) 12007, Inter-American Development Bank.
    59. Naven, Matthew & Whalen, Daniel, 2022. "The signaling value of university rankings: Evidence from top 14 law schools," Economics of Education Review, Elsevier, vol. 89(C).
    60. 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.
    61. Yu‐Chin Hsu & Shu Shen, 2021. "Testing monotonicity of conditional treatment effects under regression discontinuity designs," Journal of Applied Econometrics, John Wiley & Sons, Ltd., vol. 36(3), pages 346-366, April.
    62. Sprick Schuster, Steven, 2023. "The persuasive power of the fourth estate: Estimating the effect of newspaper endorsements: 1960–1980," Journal of Economic Behavior & Organization, Elsevier, vol. 207(C), pages 496-510.
    63. Zanoni, Wladimir & Acevedo, Paloma & Guerrero, Diego, 2021. "Do Slum Upgrading Programs Impact School Attendance?," IDB Publications (Working Papers) 11696, Inter-American Development Bank.
    64. Ruchi Avtar & Rajashri Chakrabarti & Lindsay Meyerson & William Nober & Maxim L. Pinkovskiy, 2020. "The Affordable Care Act and the COVID-19 Pandemic: A Regression Discontinuity Analysis," Staff Reports 948, Federal Reserve Bank of New York.
    65. Jonas Jessen & Daniel Kuehnle & Markus Wagner, 2021. "Is Voting Really Habit-Forming and Transformative? Long-Run Effects of Earlier Eligibility on Turnout and Political Involvement from the UK," Discussion Papers of DIW Berlin 1973, DIW Berlin, German Institute for Economic Research.
    66. Caroline Le Pennec, 2024. "Strategic Campaign Communication: Evidence from 30,000 Candidate Manifestos," The Economic Journal, Royal Economic Society, vol. 134(658), pages 785-810.
    67. Takaku, Reo & Yokoyama, Izumi, 2021. "What the COVID-19 school closure left in its wake: Evidence from a regression discontinuity analysis in Japan," Journal of Public Economics, Elsevier, vol. 195(C).
    68. De Genaro, Alan & Salvador, Pedro Ivo Camacho A. & Fernandes, Ivan Filipe, 2021. "Market power and banking regulations: Evidence from RDD application to the Brazilian banking market," Economics Letters, Elsevier, vol. 202(C).
    69. Matias D. Cattaneo & Luke Keele & Rocio Titiunik, 2021. "Covariate Adjustment in Regression Discontinuity Designs," Papers 2110.08410, arXiv.org, revised Aug 2022.
    70. Galán, Juan Sebastián, 2024. "Crown Versus Settler Colonialism in Mexico," Documentos CEDE 21268, Universidad de los Andes, Facultad de Economía, CEDE.
    71. Stephen J. Terry, 2015. "The Macro Impact of Short-Termism," Discussion Papers 15-022, Stanford Institute for Economic Policy Research.
    72. Zulli María Agostina, 2024. "Does Preschool Tips the Balance in favour of Mothers in the Labour Market? Evidence for Brazil," Asociación Argentina de Economía Política: Working Papers 4773, Asociación Argentina de Economía Política.
    73. Meier, Pascal Flurin & Flepp, Raphael & Franck, Egon, 2023. "Replication: Do coaches stick with what barely worked? Evidence of outcome bias in sports," Journal of Economic Psychology, Elsevier, vol. 99(C).
    74. Bruno Caprettini & Lorenzo Casaburi & Miriam Venturini, 2023. "Harvesting Votes: The Electoral Effects of the Italian Land Reform," Working Papers 202408, University of California at Riverside, Department of Economics.
    75. de Gendre, Alexandra & Lynch, John & Meunier, Aurélie & Pilkington, Rhiannon & Schurer, Stefanie, 2021. "Child Health and Parental Responses to an Unconditional Cash Transfer at Birth," IZA Discussion Papers 14693, Institute of Labor Economics (IZA).
    76. Gabriel Loumeau, 2022. "Land Consolidation Reforms: A Natural Experiment on the Economic and Political Effects of Agricultural Mechanization," CER-ETH Economics working paper series 22/376, CER-ETH - Center of Economic Research (CER-ETH) at ETH Zurich.
    77. Ilciukas, Julius, 2023. "Fertility and parental retirement," Journal of Public Economics, Elsevier, vol. 226(C).
    78. 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.
    79. Sun, Zhuanlan & Liu, Sheng & Li, Yiwei & Ma, Chao, 2023. "Expedited editorial decision in COVID-19 pandemic," Journal of Informetrics, Elsevier, vol. 17(1).
    80. Carlos Alberto Belchior & Yara Gomes, 2022. "Liquidity constraints, cash transfers and the demand for health care in the Covid‐19 pandemic," Health Economics, John Wiley & Sons, Ltd., vol. 31(11), pages 2369-2380, November.
    81. Thiess Büttner, 2021. "Land Use and Fiscal Competition," CESifo Working Paper Series 8958, CESifo.
    82. Guastavino, Carlos & Miranda, Alvaro & Montero, Rodrigo, 2021. "Rank effect in bureaucrat recruitment," European Journal of Political Economy, Elsevier, vol. 68(C).
    83. Gatchev, Vladimir A. & Seth, Rama & Singh, Ajai & Vishwanatha, S.R., 2023. "Price bands and their effects on equity markets: Evidence from a natural experiment," Journal of Financial Markets, Elsevier, vol. 66(C).
    84. Nirupama Kulkarni & Kanika Mahajan & S.K. Ritadhi, 2023. "Bank Branch Expansions and Capital Investment by Credit Constrained Firms," Working Papers 93, Ashoka University, Department of Economics.
    85. Maria Angélica Bautista & Juan Sebastián Galán & James A. Robinson & Rafael F. Torres & Ragnar Torvik, 2024. "Fear and Dreams: Understanding the Non-Institutional sources of Leader Strategy," NBER Working Papers 33011, National Bureau of Economic Research, Inc.
    86. De Benedetto, Marco Alberto & De Paola, Maria & Scoppa, Vincenzo & Smirnova, Janna, 2023. "Erasmus Program and Labor Market Outcomes: Evidence from a Fuzzy Regression Discontinuity Design," IZA Discussion Papers 16181, Institute of Labor Economics (IZA).
    87. Xingchi Shen & Yueming Lucy Qiu & Pengfei Liu & Anand Patwardhan, 2022. "The Effect of Rebate and Loan Incentives on Residential Heat Pump Adoption: Evidence from North Carolina," Environmental & Resource Economics, Springer;European Association of Environmental and Resource Economists, vol. 82(3), pages 741-789, July.
    88. Dor Leventer & Daniel Nevo, 2024. "Correcting invalid regression discontinuity designs with multiple time period data," Papers 2408.05847, arXiv.org.
    89. Tommaso Giommoni & Gabriel Loumeau, 2022. "Taxation with a Grain of Salt: The Long-Term Effect of Fiscal Policy on Local Development," CESifo Working Paper Series 9997, CESifo.
    90. Bonander, Carl & Chauca Strand, Gabriella & Jakobsson, Niklas, 2023. "Direct replication and additional sensitivity analyses for Altindag et al. (2022): A replication report from the Oslo Replication Games," I4R Discussion Paper Series 16, The Institute for Replication (I4R).
    91. Vincenzo Alfano & Lorenzo Cicatiello & Giuseppe Lucio Gaeta & Michele Gallo & Francesca Rotondo, 2021. "Three is a Magic Number: Evidence on the Effects of the Application of the Three-Point Rule in Italy’s Serie A," Journal of Sports Economics, , vol. 22(3), pages 329-356, April.
    92. Bitler, Marianne & Currie, Janet & Hoynes, Hilary & Ruffini, Krista & Schulkind, Lisa & Willage, Barton, 2023. "Mothers as insurance: Family spillovers in WIC," Journal of Health Economics, Elsevier, vol. 91(C).
    93. Francesco Angelini & Paolo Figini & Veronica Leoni, 2024. "High tide, low price? Flooding alerts and hotel prices in Venice," Tourism Economics, , vol. 30(4), pages 876-899, June.
    94. Marko Köthenbürger & Gabriel Loumeau, 2023. "Tax Responses in Local Public Finance: The Flypaper Effect at Work," CESifo Working Paper Series 10354, CESifo.
    95. 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).
    96. Linden, Mikael, 2023. "Retirement Age Trap: RDD Approach to Terminated Retirement Spells," MPRA Paper 119168, University Library of Munich, Germany.
    97. Elacqua, Gregory & Gómez, Leidy & Krussig, Thomas & Marotta, Luana & Méndez, Carolina & Neilson, Christopher, 2022. "The Potential of Smart Matching Platforms in Teacher Assignment: The Case of Ecuador," IDB Publications (Working Papers) 12483, Inter-American Development Bank.
    98. Weibing Li & Kaixia Zhang, 2019. "Does Air Pollution Crowd Out Foreign Direct Investment Inflows? Evidence from a Quasi-natural Experiment in China," Environmental & Resource Economics, Springer;European Association of Environmental and Resource Economists, vol. 73(4), pages 1387-1414, August.
    99. Lena Abou El-Komboz & Anna Kerkhof & Johannes Loh, 2023. "Platform Partnership Programs and Content Supply: Evidence from the YouTube “Adpocalypse”," CESifo Working Paper Series 10363, CESifo.
    100. Jun Ma & Zhengfei Yu, 2020. "Empirical Likelihood Covariate Adjustment for Regression Discontinuity Designs," Papers 2008.09263, arXiv.org, revised May 2024.
    101. Lange, Martin & Schmidt, Alexander, 2023. "High-profile crime and perceived public safety: Evidence from Cologne's new year's eve in 2015," ZEW Discussion Papers 23-068, ZEW - Leibniz Centre for European Economic Research.
    102. Awaworyi Churchill, Sefa & Iqbal, Nasir & Nawaz, Saima & Yew, Siew Ling, 2024. "Unconditional cash transfers, health and savings," Economics & Human Biology, Elsevier, vol. 53(C).
    103. Thierno Bocar Diop & Lionel Védrine, 2025. "Did crop diversity criterion from CAP green payments affect both economic and environmental farm performances? Quasi-experimental evidence from France," Post-Print hal-04739921, HAL.
    104. Elena Pokryshevskaya & Evgeny Antipov, 2020. "Robust Regression Discontinuity Estimates Of The Causal Effect Of The Tripadvisor’s Bubble Rating On Hotel Popularity," HSE Working papers WP BRP 63/MAN/2020, National Research University Higher School of Economics.
    105. Li, Yunfei & Babazono, Akira & Jamal, Aziz & Liu, Ning & Fujita, Takako & Zhao, Rui & Maeno, Yukari & Su, Ya & Liang, Lifan & Yao, Lan, 2022. "The impact of lifestyle guidance intervention on health outcomes among Japanese middle-aged population with metabolic syndrome: A regression discontinuity study," Social Science & Medicine, Elsevier, vol. 314(C).

  7. Matias D. Cattaneo & Richard K. Crump & Max H. Farrell & Ernst Schaumburg, 2018. "Characteristic-Sorted Portfolios: Estimation and Inference," Papers 1809.03584, arXiv.org, revised Oct 2019.

    Cited by:

    1. Matias D. Cattaneo & Richard K. Crump & Max H. Farrell & Yingjie Feng, 2019. "On Binscatter," Papers 1902.09608, arXiv.org, revised Apr 2024.
    2. Ni, Xuanming & Zheng, Tiantian & Zhao, Huimin & Zhu, Shushang, 2023. "High-dimensional portfolio optimization based on tree-structured factor model," Pacific-Basin Finance Journal, Elsevier, vol. 81(C).
    3. Joachim Freyberger & Andreas Neuhierl & Michael Weber & Michael Weber, 2018. "Dissecting Characteristics Nonparametrically," CESifo Working Paper Series 7187, CESifo.
    4. Chaieb, Ines & Langlois, Hugues & Scaillet, Olivier, 2021. "Factors and risk premia in individual international stock returns," Journal of Financial Economics, Elsevier, vol. 141(2), pages 669-692.
    5. Christophe J. GODLEWSKI & Katarzyna BYRKA-KITA & Renata GOLA & Jacek CYPRYJANSKI, 2022. "Silence is not golden anymore? Social media activity and stock market valuation in Europe," Working Papers of LaRGE Research Center 2022-04, Laboratoire de Recherche en Gestion et Economie (LaRGE), Université de Strasbourg.
    6. Yu, Xiufan & Yao, Jiawei & Xue, Lingzhou, 2024. "Power enhancement for testing multi-factor asset pricing models via Fisher’s method," Journal of Econometrics, Elsevier, vol. 239(2).
    7. Matias Cattaneo & Richard K. Crump & Weining Wang, 2024. "Beta-sorted portfolios," CeMMAP working papers 20/24, Institute for Fiscal Studies.
    8. Jianyuan Zhong & Zhijian Xu & Saizhuo Wang & Xiangyu Wen & Jian Guo & Qiang Xu, 2024. "DSPO: An End-to-End Framework for Direct Sorted Portfolio Construction," Papers 2405.15833, arXiv.org.
    9. Guillaume Coqueret, 2022. "Characteristics-driven returns in equilibrium," Papers 2203.07865, arXiv.org.
    10. Matias D. Cattaneo & Max H. Farrell & Yingjie Feng, 2018. "Large Sample Properties of Partitioning-Based Series Estimators," Papers 1804.04916, arXiv.org, revised Jun 2019.
    11. Kim, Junyong, 2024. "Zoom in on momentum," International Review of Financial Analysis, Elsevier, vol. 94(C).

  8. Max H. Farrell & Tengyuan Liang & Sanjog Misra, 2018. "Deep Neural Networks for Estimation and Inference," Papers 1809.09953, arXiv.org, revised Sep 2019.

    Cited by:

    1. 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.
    2. Kyle Colangelo & Ying-Ying Lee, 2020. "Double Debiased Machine Learning Nonparametric Inference with Continuous Treatments," Papers 2004.03036, arXiv.org, revised Sep 2023.
    3. 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.
    4. 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.
    5. 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.
    6. Jason Poulos & Shuxi Zeng, 2021. "RNN‐based counterfactual prediction, with an application to homestead policy and public schooling," Journal of the Royal Statistical Society Series C, Royal Statistical Society, vol. 70(4), pages 1124-1139, August.
    7. Hector F. Calvo-Pardo & Tullio Mancini & Jose Olmo, 2022. "Machine Learning the Carbon Footprint of Bitcoin Mining," JRFM, MDPI, vol. 15(2), pages 1-30, February.
    8. Hui Chen & Antoine Didisheim & Simon Scheidegger, 2021. "Deep Structural Estimation:With an Application to Option Pricing," Cahiers de Recherches Economiques du Département d'économie 21.14, Université de Lausanne, Faculté des HEC, Département d’économie.
    9. Susan Athey & Guido Imbens, 2019. "Machine Learning Methods Economists Should Know About," Papers 1903.10075, arXiv.org.
    10. Konrad Menzel, 2021. "Structural Sieves," Papers 2112.01377, arXiv.org, revised Apr 2022.
    11. Chad Brown, 2024. "Inference in Partially Linear Models under Dependent Data with Deep Neural Networks," Papers 2410.22574, arXiv.org.
    12. Jelena Bradic & Weijie Ji & Yuqian Zhang, 2021. "High-dimensional Inference for Dynamic Treatment Effects," Papers 2110.04924, arXiv.org, revised May 2023.
    13. Achim Ahrens & Christian B. Hansen & Mark E. Schaffer & Thomas Wiemann, 2024. "ddml: Double/debiased machine learning in Stata," Stata Journal, StataCorp LP, vol. 24(1), pages 3-45, March.
    14. Jelena Bradic & Stefan Wager & Yinchu Zhu, 2019. "Sparsity Double Robust Inference of Average Treatment Effects," Papers 1905.00744, arXiv.org.
    15. Davide Viviano & Jelena Bradic, 2019. "Synthetic learner: model-free inference on treatments over time," Papers 1904.01490, arXiv.org, revised Aug 2022.
    16. Julien Chevallier & Dominique Guégan & Stéphane Goutte, 2021. "Is It Possible to Forecast the Price of Bitcoin?," Forecasting, MDPI, vol. 3(2), pages 1-44, May.
    17. Daniel Jacob, 2021. "CATE meets ML," Digital Finance, Springer, vol. 3(2), pages 99-148, June.
    18. Combes, Pierre-Philippe & Gobillon, Laurent & Zylberberg, Yanos, 2021. "Urban Economics in a Historical Perspective: Recovering Data with Machine Learning," IZA Discussion Papers 14392, Institute of Labor Economics (IZA).
    19. Manuel Arellano & Stéphane Bonhomme & Micole De Vera & Laura Hospido & Siqi Wei, 2021. "Income Risk Inequality: Evidence from Spanish Administrative Records," Working Papers 2136, Banco de España.
    20. Christis Katsouris, 2023. "High Dimensional Time Series Regression Models: Applications to Statistical Learning Methods," Papers 2308.16192, arXiv.org.
    21. Davide Viviano, 2019. "Policy Targeting under Network Interference," Papers 1906.10258, arXiv.org, revised Apr 2024.
    22. 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.
    23. Peng Jin & Wenbin Lu & Yu Chen & Mengling Liu, 2023. "Change‐plane analysis for subgroup detection with a continuous treatment," Biometrics, The International Biometric Society, vol. 79(3), pages 1920-1933, September.
    24. 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.
    25. Chaohua Dong & Jiti Gao & Bin Peng & Yayi Yan, 2023. "Estimation and Inference for a Class of Generalized Hierarchical Models," Papers 2311.02789, arXiv.org, revised Apr 2024.
    26. Hofert, Marius & Prasad, Avinash & Zhu, Mu, 2022. "Multivariate time-series modeling with generative neural networks," Econometrics and Statistics, Elsevier, vol. 23(C), pages 147-164.
    27. Shi, Chengchun & Zhou, Yunzhe & Li, Lexin, 2023. "Testing directed acyclic graph via structural, supervised and generative adversarial learning," LSE Research Online Documents on Economics 119446, London School of Economics and Political Science, LSE Library.
    28. Shi, Chengchun & Luo, Shikai & Le, Yuan & Zhu, Hongtu & Song, Rui, 2022. "Statistically efficient advantage learning for offline reinforcement learning in infinite horizons," LSE Research Online Documents on Economics 115598, London School of Economics and Political Science, LSE Library.
    29. Chen, Xiaohong & Liu, Ying & Ma, Shujie & Zhang, Zheng, 2024. "Causal inference of general treatment effects using neural networks with a diverging number of confounders," Journal of Econometrics, Elsevier, vol. 238(1).
    30. Fallahgoul, Hasan & Franstianto, Vincentius & Lin, Xin, 2024. "Asset pricing with neural networks: Significance tests," Journal of Econometrics, Elsevier, vol. 238(1).
    31. Daniel Jacob, 2021. "CATE meets ML -- The Conditional Average Treatment Effect and Machine Learning," Papers 2104.09935, arXiv.org, revised Apr 2021.
    32. Jikai Jin & Vasilis Syrgkanis, 2024. "Structure-agnostic Optimality of Doubly Robust Learning for Treatment Effect Estimation," Papers 2402.14264, arXiv.org, revised Mar 2024.
    33. 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.
    34. Victor Chernozhukov & Whitney K. Newey & Victor Quintas-Martinez & Vasilis Syrgkanis, 2021. "Automatic Debiased Machine Learning via Riesz Regression," Papers 2104.14737, arXiv.org, revised Mar 2024.
    35. Nora Bearth & Michael Lechner, 2024. "Causal Machine Learning for Moderation Effects," Papers 2401.08290, arXiv.org, revised Apr 2024.
    36. Chunrong Ai & Yue Fang & Haitian Xie, 2024. "Data-driven Policy Learning for Continuous Treatments," Papers 2402.02535, arXiv.org, revised Nov 2024.
    37. Philippe Goulet Coulombe & Mikael Frenette & Karin Klieber, 2023. "From Reactive to Proactive Volatility Modeling with Hemisphere Neural Networks," Papers 2311.16333, arXiv.org, revised Apr 2024.
    38. 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.
    39. Johann Pfitzinger, 2021. "An Interpretable Neural Network for Parameter Inference," Papers 2106.05536, arXiv.org.
    40. Dylan J. Foster & Vasilis Syrgkanis, 2019. "Orthogonal Statistical Learning," Papers 1901.09036, arXiv.org, revised Jun 2023.
    41. Harold D Chiang & Yukun Ma & Joel Rodrigue & Yuya Sasaki, 2021. "Dyadic double/debiased machine learning for analyzing determinants of free trade agreements," Papers 2110.04365, arXiv.org, revised Dec 2022.
    42. 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.
    43. Nan Liu & Yanbo Liu & Yuya Sasaki, 2024. "Estimation and Inference for Causal Functions with Multiway Clustered Data," Papers 2409.06654, arXiv.org.
    44. Haupt, Johannes & Lessmann, Stefan, 2022. "Targeting customers under response-dependent costs," European Journal of Operational Research, Elsevier, vol. 297(1), pages 369-379.
    45. Zhou, Yunzhe & Shi, Chengchun & Li, Lexin & Yao, Qiwei, 2023. "Testing for the Markov property in time series via deep conditional generative learning," LSE Research Online Documents on Economics 119352, London School of Economics and Political Science, LSE Library.
    46. Chaohua Dong & Jiti Gao & Bin Peng & Yayi Yan, 2023. "Estimation of Semiparametric Multi-Index Models Using Deep Neural Networks," Monash Econometrics and Business Statistics Working Papers 21/23, Monash University, Department of Econometrics and Business Statistics.
    47. Chronopoulos, Ilias & Raftapostolos, Aristeidis & Kapetanios, George, 2023. "Forecasting Value-at-Risk using deep neural network quantile regression," Essex Finance Centre Working Papers 34837, University of Essex, Essex Business School.
    48. Sven Klaassen & Jan Teichert-Kluge & Philipp Bach & Victor Chernozhukov & Martin Spindler & Suhas Vijaykumar, 2024. "DoubleMLDeep: Estimation of Causal Effects with Multimodal Data," Papers 2402.01785, arXiv.org.
    49. Achim Ahrens & Christian B. Hansen & Mark E. Schaffer & Thomas Wiemann, 2024. "Model Averaging and Double Machine Learning," Papers 2401.01645, arXiv.org, revised Sep 2024.
    50. Philippe Goulet Coulombe, 2022. "A Neural Phillips Curve and a Deep Output Gap," Working Papers 22-01, Chair in macroeconomics and forecasting, University of Quebec in Montreal's School of Management.
    51. Saiz, Lorena & Ashwin, Julian & Kalamara, Eleni, 2021. "Nowcasting euro area GDP with news sentiment: a tale of two crises," Working Paper Series 2616, European Central Bank.
    52. Matthew Harding & Gabriel F. R. Vasconcelos, 2022. "Managers versus Machines: Do Algorithms Replicate Human Intuition in Credit Ratings?," Papers 2202.04218, arXiv.org.
    53. Ziwei Mei & Zhentao Shi & Peter C. B. Phillips, 2022. "The boosted HP filter is more general than you might think," Cowles Foundation Discussion Papers 2348, Cowles Foundation for Research in Economics, Yale University.
    54. Phillip Heiler & Michael C. Knaus, 2021. "Effect or Treatment Heterogeneity? Policy Evaluation with Aggregated and Disaggregated Treatments," Papers 2110.01427, arXiv.org, revised Aug 2023.
    55. Kazuhiko Shinoda & Takahiro Hoshino, 2022. "Orthogonal Series Estimation for the Ratio of Conditional Expectation Functions," Papers 2212.13145, arXiv.org.
    56. Michael Zimmert & Michael Lechner, 2019. "Nonparametric estimation of causal heterogeneity under high-dimensional confounding," Papers 1908.08779, arXiv.org.
    57. Alena Skolkova, 2023. "Instrumental Variable Estimation with Many Instruments Using Elastic-Net IV," CERGE-EI Working Papers wp759, The Center for Economic Research and Graduate Education - Economics Institute, Prague.
    58. Jonathan Chassot & Michael Creel, 2023. "Constructing Efficient Simulated Moments Using Temporal Convolutional Networks," Working Papers 1412, Barcelona School of Economics.
    59. Stephan Hetzenecker & Maximilian Osterhaus, 2024. "Deep Learning for the Estimation of Heterogeneous Parameters in Discrete Choice Models," Papers 2408.09560, arXiv.org.
    60. Damir Filipovi'c & Puneet Pasricha, 2022. "Empirical Asset Pricing via Ensemble Gaussian Process Regression," Papers 2212.01048, arXiv.org.
    61. Andrew Bennett & Nathan Kallus & Xiaojie Mao & Whitney Newey & Vasilis Syrgkanis & Masatoshi Uehara, 2022. "Inference on Strongly Identified Functionals of Weakly Identified Functions," Papers 2208.08291, arXiv.org, revised Jun 2023.
    62. Chen, Jiafeng & Ritzwoller, David M., 2023. "Semiparametric estimation of long-term treatment effects," Journal of Econometrics, Elsevier, vol. 237(2).
    63. Cai, Hengrui & Shi, Chengchun & Song, Rui & Lu, Wenbin, 2023. "Jump interval-learning for individualized decision making with continuous treatments," LSE Research Online Documents on Economics 118231, London School of Economics and Political Science, LSE Library.
    64. Victor Chernozhukov & Whitney K Newey & Rahul Singh, 2018. "Automatic Debiased Machine Learning of Causal and Structural Effects," Papers 1809.05224, arXiv.org, revised Oct 2022.
    65. Liu, Lin & Mukherjee, Rajarshi & Robins, James M., 2024. "Assumption-lean falsification tests of rate double-robustness of double-machine-learning estimators," Journal of Econometrics, Elsevier, vol. 240(2).
    66. Semenova, Vira, 2023. "Debiased machine learning of set-identified linear models," Journal of Econometrics, Elsevier, vol. 235(2), pages 1725-1746.
    67. Philippe Goulet Coulombe & Mikael Frenette & Karin Klieber, 2023. "From Reactive to Proactive Volatility Modeling with Hemisphere Neural Networks," Working Papers 23-04, Chair in macroeconomics and forecasting, University of Quebec in Montreal's School of Management, revised Nov 2023.
    68. Stijn Vansteelandt & Oliver Dukes, 2022. "Authors' reply to the Discussion of ‘Assumption‐lean inference for generalised linear model parameters’ by Vansteelandt and Dukes," Journal of the Royal Statistical Society Series B, Royal Statistical Society, vol. 84(3), pages 729-739, July.
    69. Yukang Jiang & Xueqin Wang & Zhixi Xiong & Haisheng Yang & Ting Tian, 2022. "Interpreting and predicting the economy flows: A time-varying parameter global vector autoregressive integrated the machine learning model," Papers 2209.05998, arXiv.org.
    70. Lin Liu & Chang Li, 2023. "New $\sqrt{n}$-consistent, numerically stable higher-order influence function estimators," Papers 2302.08097, arXiv.org.
    71. Hector F. Calvo-Pardo & Tullio Mancini & Jose Olmo, 2020. "Neural Network Models for Empirical Finance," JRFM, MDPI, vol. 13(11), pages 1-22, October.
    72. Philippe Goulet Coulombe, 2022. "A Neural Phillips Curve and a Deep Output Gap," Papers 2202.04146, arXiv.org, revised Oct 2024.
    73. Pranjal Rawat, 2024. "A Deep Learning Approach to Heterogeneous Consumer Aesthetics in Retail Fashion," Papers 2405.10498, arXiv.org.
    74. Tommaso Manfè & Luca Nunziata, 2023. "Difference-In-Difference Design With Repeated Cross-Sections Under Compositional Changes: a Monte-Carlo Evaluation of Alternative Approaches," "Marco Fanno" Working Papers 0305, Dipartimento di Scienze Economiche "Marco Fanno".
    75. Victor Quintas-Martinez, 2022. "Finite-Sample Guarantees for High-Dimensional DML," Papers 2206.07386, arXiv.org.
    76. 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.
    77. Michael P. Leung & Pantelis Loupos, 2022. "Graph Neural Networks for Causal Inference Under Network Confounding," Papers 2211.07823, arXiv.org, revised Mar 2024.
    78. Christoph Breunig & Ruixuan Liu & Zhengfei Yu, 2022. "Double Robust Bayesian Inference on Average Treatment Effects," Papers 2211.16298, arXiv.org, revised Oct 2024.
    79. Sonya Georgieva, 2023. "Application of Artificial Intelligence and Machine Learning in the Conduct of Monetary Policy by Central Banks," Economic Studies journal, Bulgarian Academy of Sciences - Economic Research Institute, issue 8, pages 177-199.

  9. Sebastian Calonico & Matias D. Cattaneo & Max H. Farrell, 2018. "Coverage Error Optimal Confidence Intervals for Local Polynomial Regression," Papers 1808.01398, arXiv.org, revised Jul 2021.

    Cited by:

    1. He, Yang & Bartalotti, Otávio, 2020. "Wild bootstrap for fuzzy regression discontinuity designs: obtaining robust bias-corrected confidence intervals," ISU General Staff Papers 202005010700001071, Iowa State University, Department of Economics.

  10. Matias D. Cattaneo & Max H. Farrell & Yingjie Feng, 2018. "Large Sample Properties of Partitioning-Based Series Estimators," Papers 1804.04916, arXiv.org, revised Jun 2019.

    Cited by:

    1. Byunghoon Kang, 2019. "Inference in Nonparametric Series Estimation with Specification Searches for the Number of Series Terms," Papers 1909.12162, arXiv.org, revised Feb 2020.
    2. Zheng Fang & Juwon Seo, 2019. "A Projection Framework for Testing Shape Restrictions That Form Convex Cones," Papers 1910.07689, arXiv.org, revised Sep 2021.
    3. Matias D. Cattaneo & Richard K. Crump & Max H. Farrell & Yingjie Feng, 2019. "Binscatter Regressions," Papers 1902.09615, arXiv.org, revised Jul 2024.
    4. Butts, Kyle, 2023. "JUE Insight: Difference-in-differences with geocoded microdata," Journal of Urban Economics, Elsevier, vol. 133(C).

  11. Sebastian Calonico & Matias D. Cattaneo & Max H. Farrell & Rocio Titiunik, 2018. "Regression Discontinuity Designs Using Covariates," Papers 1809.03904, arXiv.org.

    Cited by:

    1. Chuard, Caroline, 2020. "Womb at work: The missing impact of maternal employment on newborn health," Journal of Health Economics, Elsevier, vol. 73(C).
    2. Akbulut-Yuksel, Mevlude & Boulatoff, Catherine, 2020. "The Effects of a Green Nudge on Municipal Solid Waste: Evidence from a Clear Bag Policy," IZA Discussion Papers 13925, Institute of Labor Economics (IZA).
    3. Neal, Timothy, 2024. "Estimating the effectiveness of forest protection using regression discontinuity," Journal of Environmental Economics and Management, Elsevier, vol. 127(C).
    4. de Roux, Nicolás & Riehl, Evan, 2022. "Do college students benefit from placement into higher-achieving classes?," Journal of Public Economics, Elsevier, vol. 210(C).
    5. Aspasia Bizopoulou & Rigissa Megalokonomou & Stefania Simion, 2022. "Do Second Chances Pay Off? Evidence from a Natural Experiment with Low-Achieving Students," CESifo Working Paper Series 9620, CESifo.
    6. Yoichi Arai & Yu-Chin Hsu & Toru Kitagawa & Ismael Mourifié & Yuanyuan Wan, 2021. "Testing identifying assumptions in fuzzy regression discontinuity designs," CeMMAP working papers CWP16/21, Centre for Microdata Methods and Practice, Institute for Fiscal Studies.
    7. Luca Bellodi & Massimo Morelli & Matia Vannoni, 2021. "A Costly Commitment: Populism, Government Performance, and the Quality of Bureaucracy," CESifo Working Paper Series 9470, CESifo.
    8. Joshua D. Angrist & Peter Hull & Parag Pathak & Christopher Walters, 2020. "Simple and Credible Value-Added Estimation Using Centralized School Assignment," Working Papers 2020-186, Becker Friedman Institute for Research In Economics.
    9. Travis Campbell & Yana van der Meulen Rodgers, 2022. "Health insurance coverage and health outcomes among transgender adults in the United States," Health Economics, John Wiley & Sons, Ltd., vol. 31(6), pages 973-992, June.
    10. Andreas Steinhauer, 2018. "Working Moms, Childlessness, and Female Identity," Working Papers hal-03475468, HAL.
    11. Christopher Neilson & Dejan Kovac, 2020. "O Brother, Where Start Thou? Sibling Spillovers on College and Major Choice in Four Countries," Working Papers 641, Princeton University, Department of Economics, Industrial Relations Section..
    12. Zhuang Hao & Huihui Cheng & Till Bärnighausen & Simiao Chen, 2024. "The effects of parental retirement on adult children's health: Evidence from China," Health Economics, John Wiley & Sons, Ltd., vol. 33(1), pages 12-20, January.
    13. 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.
    14. David M. Brasington, 2024. "Population growth in growing and declining cities: the role of balanced-budget increases in local government spending," The Annals of Regional Science, Springer;Western Regional Science Association, vol. 73(3), pages 873-895, October.
    15. Boffa, Federico & Mollisi, Vincenzo & Ponzetto, Giacomo, 2023. "Do Incompetent Politicians Breed Populist Voters? Evidence from Italian Municipalities," CEPR Discussion Papers 17997, C.E.P.R. Discussion Papers.
    16. Leopoldo Fergusson & Arturo Harker & Carlos Molina & Juan Camilo Yamín, 2023. "Political incentives and corruption evidence from ghost students," Documentos CEDE 20732, Universidad de los Andes, Facultad de Economía, CEDE.
    17. Christina Korting & Carl Lieberman & Jordan Matsudaira & Zhuan Pei & Yi Shen, 2021. "Visual Inference and Graphical Representation in Regression Discontinuity Designs," Papers 2112.03096, arXiv.org, revised Jan 2023.
    18. Christoph Koenig & Letizia Borgomeo & Martina Miotto, 2024. "The Long-Run Effects of R&D Subsidies on High-Tech Start-Ups: Insights From Italy," CEIS Research Paper 585, Tor Vergata University, CEIS, revised 12 Nov 2024.
    19. Toledo, Katia & Alvarado, Alfredo, 2023. "Tackling BEPS in the Global South: Evidence from Peru’s tax reform," Economic Systems, Elsevier, vol. 47(3).
    20. Kyyrä, Tomi & Pesola, Hanna, 2016. "The effects of UI benefits on unemployment and subsequent outcomes: Evidence from a kinked benefit rule," Working Papers 82, VATT Institute for Economic Research.
    21. Bonilla, Sade, 2020. "The dropout effects of career pathways: Evidence from California," Economics of Education Review, Elsevier, vol. 75(C).
    22. Nathan Kettlewell & Peter Siminski, 2022. "Optimal Model Selection in RDD and Related Settings Using Placebo Zones," Papers 2212.04043, arXiv.org.
    23. Jean-Sauveur Ay & Julie Le Gallo, 2021. "The signaling value of nested wine names," Post-Print hal-03268014, HAL.
    24. Giommoni, Tommaso, 2024. "A fistful of dollars: Rent seeking behaviour and local tax manipulation," Journal of Economic Behavior & Organization, Elsevier, vol. 220(C), pages 453-469.
    25. Adrien Montalbo, 2019. "Education and economic development. The influence of primary schooling on municipalities in nineteenth-century France," PSE Working Papers halshs-02286126, HAL.
    26. Quinckhardt, Matthias, 2023. "The value of a party: Local politics and the allocation of intergovernmental transfers," European Journal of Political Economy, Elsevier, vol. 80(C).
    27. Onda, Masayuki & Seyler, Edward, 2020. "English learners reclassification and academic achievement: Evidence from Minnesota," Economics of Education Review, Elsevier, vol. 79(C).
    28. Kyyrä, Tomi & Pesola, Hanna, 2020. "Long-term effects of extended unemployment benefits for older workers," Labour Economics, Elsevier, vol. 62(C).
    29. Bleemer, Zachary, 2019. "DIVERSITY IN UNIVERSITY ADMISSIONS: Affirmative Action, Percent Plans, and Holistic Review," University of California at Berkeley, Center for Studies in Higher Education qt1kb1b4cq, Center for Studies in Higher Education, UC Berkeley.
    30. Schönenberger, Felix, 2023. "Strategic Policy Responsiveness to Opponent Platforms: Evidence From U.S. House Incumbents Running Against Moderate or Extremist Challengers," MPRA Paper 120160, University Library of Munich, Germany.
    31. 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.
    32. Maoyong Fan & Guojun He & Maigeng Zhou, 2020. "The Winter Choke: Coal-Fired Heating, Air Pollution, and Mortality in China," HKUST IEMS Working Paper Series 2020-71, HKUST Institute for Emerging Market Studies, revised Mar 2020.
    33. Zuleika Ferre & Patricia Triunfo & José‐Ignacio Antón, 2023. "Subdermal contraceptive implants and repeat teenage motherhood: Evidence from a major maternity hospital‐based program in Uruguay," Health Economics, John Wiley & Sons, Ltd., vol. 32(12), pages 2679-2693, December.
    34. David Wuepper & Robert Finger, 2023. "Regression discontinuity designs in agricultural and environmental economics," European Review of Agricultural Economics, Oxford University Press and the European Agricultural and Applied Economics Publications Foundation, vol. 50(1), pages 1-28.
    35. Shi, Xunpeng & Tian, Binbin & Yang, Longjian & Yu, Jian & Zhou, Siyang, 2023. "How do regulatory environmental policies perform? A case study of China's Top-10,000 enterprises energy-saving program," Renewable and Sustainable Energy Reviews, Elsevier, vol. 187(C).
    36. Chauvin, Juan Pablo & Tricaud, Clemence, 2023. "Gender and Electoral Incentives: Evidence from Crisis Response," CEPR Discussion Papers 17904, C.E.P.R. Discussion Papers.
    37. Julieta Peveri & Marc Sangnier, 2021. "Gender differences in re-contesting decisions: New evidence from French municipal elections," Working Papers halshs-03349740, HAL.
    38. Tommaso Sonno & Davide Zufacchi, 2022. "Epidemics and rapacity of multinational companies," CEP Discussion Papers dp1833, Centre for Economic Performance, LSE.
    39. Christian Bruns & Mariana Lopes da Fonseca, 2023. "On Defaults, Framing, and Local Tax Policy: Quasi-Experimental Evidence from Portugal," CESifo Working Paper Series 10582, CESifo.
    40. Steinhauer, Andreas, 2018. "Working Moms, Childlessness, and Female Identity," CEPR Discussion Papers 12929, C.E.P.R. Discussion Papers.
    41. Augusto Cerqua & Guido Pellegrini, 2020. "Labor mobility effects of a firm-level shock," Working Papers 1/20, Sapienza University of Rome, DISS.
    42. Claire MacPherson & Olivier Sterck, 2019. "Humanitarian vs. Development Aid for Refugees: Evidence from a Regression Discontinuity Design," CSAE Working Paper Series 2019-15, Centre for the Study of African Economies, University of Oxford.
    43. Matias D. Cattaneo & Rocio Titiunik, 2021. "Regression Discontinuity Designs," Papers 2108.09400, arXiv.org, revised Feb 2022.
    44. 'Agoston Reguly, 2021. "Heterogeneous Treatment Effects in Regression Discontinuity Designs," Papers 2106.11640, arXiv.org, revised Oct 2021.
    45. Lucia Rizzica, 2018. "Raising aspirations and higher education: evidence from the UK’s Widening Participation policy," Temi di discussione (Economic working papers) 1188, Bank of Italy, Economic Research and International Relations Area.
    46. Cappelletti, Giuseppe & Ponte Marques, Aurea & Varraso, Paolo & Budrys, Žymantas & Peeters, Jonas, 2019. "Impact of higher capital buffers on banks’ lending and risk-taking: evidence from the euro area experiments," Working Paper Series 2292, European Central Bank.
    47. Le, Trinh Hue & Oliver, Barry & Tan, Kelvin Jui Keng, 2022. "Nowhere to hide: Response of corporate restructuring activities to mandatory segment disclosure," Journal of Corporate Finance, Elsevier, vol. 76(C).
    48. Yoici Arai & Taisuke Otsu & Myung Hwan Seo, 2022. "Regression discontinuity design with potentially many covariates," STICERD - Econometrics Paper Series 626, Suntory and Toyota International Centres for Economics and Related Disciplines, LSE.
    49. Laurent Gobillon & François-Charles Wolff, 2017. "The local effects of an innovation: Evidence from the French fish market," Working Papers halshs-01431160, HAL.
    50. Chuard, Caroline, 2023. "Negative effects of long parental leave on maternal health: Evidence from a substantial policy change in Austria," Journal of Health Economics, Elsevier, vol. 88(C).
    51. Spaziani, Sara, 2022. "Can gender quotas break the glass ceiling? Evidence from Italian municipal elections," European Journal of Political Economy, Elsevier, vol. 75(C).
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    102. Kheiravar, Khaled H, 2019. "Economic and Econometric Analyses of the World Petroleum Industry, Energy Subsidies, and Air Pollution," Institute of Transportation Studies, Working Paper Series qt3gj151w9, Institute of Transportation Studies, UC Davis.

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    Cited by:

    1. Zhexiao Lin & Peng Ding & Fang Han, 2023. "Estimation Based on Nearest Neighbor Matching: From Density Ratio to Average Treatment Effect," Econometrica, Econometric Society, vol. 91(6), pages 2187-2217, November.
    2. Alexandre Belloni & Victor Chernozhukov & Denis Chetverikov & Christian Hansen & Kengo Kato, 2018. "High-Dimensional Econometrics and Regularized GMM," Papers 1806.01888, arXiv.org, revised Jun 2018.
    3. Kyle Colangelo & Ying-Ying Lee, 2020. "Double Debiased Machine Learning Nonparametric Inference with Continuous Treatments," Papers 2004.03036, arXiv.org, revised Sep 2023.
    4. 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).
    5. 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.
    6. Zhong, Wei & Gao, Yang & Zhou, Wei & Fan, Qingliang, 2021. "Endogenous treatment effect estimation using high-dimensional instruments and double selection," Statistics & Probability Letters, Elsevier, vol. 169(C).
    7. Victor Chernozhukov & Denis Chetverikov & Mert Demirer & Esther Duflo & Christian Hansen & Whitney Newey & James Robins, 2017. "Double/Debiased Machine Learning for Treatment and Structural Parameters," NBER Working Papers 23564, National Bureau of Economic Research, Inc.
    8. Pedro H. C. Sant'Anna & Jun B. Zhao, 2018. "Doubly Robust Difference-in-Differences Estimators," Papers 1812.01723, arXiv.org, revised May 2020.
    9. Ying-Ying Lee & Chu-An Liu, 2024. "Lee Bounds with a Continuous Treatment in Sample Selection," Papers 2411.04312, arXiv.org.
    10. Kaspar Wuthrich & Ying Zhu, 2019. "Omitted variable bias of Lasso-based inference methods: A finite sample analysis," Papers 1903.08704, arXiv.org, revised Sep 2021.
    11. Stojcic, Nebojsa, 2024. "Innovation failure, training for innovative activities and public support for innovation: Multi-annual evidence from emerging European innovation systems," Research Policy, Elsevier, vol. 53(8).
    12. 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.
    13. Toru Kitagawa & Chris Muris, 2015. "Model averaging in semiparametric estimation of treatment effects," CeMMAP working papers CWP46/15, Centre for Microdata Methods and Practice, Institute for Fiscal Studies.
    14. Alexandre Belloni & Victor Chernozhukov & Ivan Fernandez-Val & Christian Hansen, 2016. "Program evaluation and causal inference with high-dimensional data," CeMMAP working papers 13/16, Institute for Fiscal Studies.
    15. Tauchmann, Harald & Simankova, Irina & Bünnings, Christian, 2023. "Health Shocks and Health Behavior: A Long-Term Perspective," VfS Annual Conference 2023 (Regensburg): Growth and the "sociale Frage" 277581, Verein für Socialpolitik / German Economic Association.
    16. Jelena Bradic & Weijie Ji & Yuqian Zhang, 2021. "High-dimensional Inference for Dynamic Treatment Effects," Papers 2110.04924, arXiv.org, revised May 2023.
    17. Alexandre Belloni & Mingli Chen & Victor Chernozhukov, 2016. "Quantile Graphical Models: Prediction and Conditional Independence with Applications to Systemic Risk," Papers 1607.00286, arXiv.org, revised Oct 2019.
    18. Aristide Houndetoungan & Abdoul Haki Maoude, 2024. "Inference for Two-Stage Extremum Estimators," Papers 2402.05030, arXiv.org, revised Nov 2024.
    19. Jelena Bradic & Stefan Wager & Yinchu Zhu, 2019. "Sparsity Double Robust Inference of Average Treatment Effects," Papers 1905.00744, arXiv.org.
    20. 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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    22. Sallin, Aurelién, 2021. "Estimating returns to special education: combining machine learning and text analysis to address confounding," Economics Working Paper Series 2109, University of St. Gallen, School of Economics and Political Science.
    23. Christian Hansen & Damian Kozbur & Sanjog Misra, 2016. "Targeted undersmoothing," ECON - Working Papers 282, Department of Economics - University of Zurich, revised Apr 2018.
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    25. Michael Lechner & Jana Mareckova, 2024. "Comprehensive Causal Machine Learning," Papers 2405.10198, arXiv.org.
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    52. Yike Wang & Chris Gu & Taisuke Otsu, 2024. "Graph Neural Networks: Theory for Estimation with Application on Network Heterogeneity," Papers 2401.16275, arXiv.org.
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    86. Wonder Agbenyo & Yuansheng Jiang & Xinxin Jia & Jingyi Wang & Gideon Ntim-Amo & Rahman Dunya & Anthony Siaw & Isaac Asare & Martinson Ankrah Twumasi, 2022. "Does the Adoption of Climate-Smart Agricultural Practices Impact Farmers’ Income? Evidence from Ghana," IJERPH, MDPI, vol. 19(7), pages 1-25, March.
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    92. Harsh Parikh & Cynthia Rudin & Alexander Volfovsky, 2018. "MALTS: Matching After Learning to Stretch," Papers 1811.07415, arXiv.org, revised Jun 2023.
    93. Victor Chernozhukov & Whitney K Newey & Rahul Singh, 2018. "Automatic Debiased Machine Learning of Causal and Structural Effects," Papers 1809.05224, arXiv.org, revised Oct 2022.
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Articles

  1. 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.
    See citations under working paper version above.
  2. Matias D. Cattaneo & Richard K. Crump & Max H. Farrell & Ernst Schaumburg, 2020. "Characteristic-Sorted Portfolios: Estimation and Inference," The Review of Economics and Statistics, MIT Press, vol. 102(3), pages 531-551, July.
    See citations under working paper version above.
  3. Sebastian Calonico & Matias D Cattaneo & Max H Farrell, 2020. "Optimal bandwidth choice for robust bias-corrected inference in regression discontinuity designs," The Econometrics Journal, Royal Economic Society, vol. 23(2), pages 192-210.
    See citations under working paper version above.
  4. Sebastian Calonico & Matias D. Cattaneo & Max H. Farrell & Rocío Titiunik, 2019. "Regression Discontinuity Designs Using Covariates," The Review of Economics and Statistics, MIT Press, vol. 101(3), pages 442-451, July.
    See citations under working paper version above.
  5. Sebastian Calonico & Matias D. Cattaneo & Max H. Farrell, 2018. "On the Effect of Bias Estimation on Coverage Accuracy in Nonparametric Inference," Journal of the American Statistical Association, Taylor & Francis Journals, vol. 113(522), pages 767-779, April.
    See citations under working paper version above.
  6. Sebastian Calonico & Matias D. Cattaneo & Max H. Farrell & Roc ́ıo Titiunik, 2017. "rdrobust: Software for regression-discontinuity designs," Stata Journal, StataCorp LP, vol. 17(2), pages 372-404, June.

    Cited by:

    1. Brachert, Matthias & Dettmann, Eva & Titze, Mirko, 2019. "The regional effects of a place-based policy – Causal evidence from Germany," Regional Science and Urban Economics, Elsevier, vol. 79(C).
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  7. Farrell, Max H., 2015. "Robust inference on average treatment effects with possibly more covariates than observations," Journal of Econometrics, Elsevier, vol. 189(1), pages 1-23.
    See citations under working paper version above.
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    Cited by:

    1. Alexandre Belloni & Victor Chernozhukov & Denis Chetverikov & Kengo Kato, 2013. "On the asymptotic theory for least squares series: pointwise and uniform results," CeMMAP working papers 73/13, Institute for Fiscal Studies.
    2. Michael Jansson & Demian Pouzo, 2019. "Towards a general large sample theory for regularized estimators," CeMMAP working papers CWP63/19, Centre for Microdata Methods and Practice, Institute for Fiscal Studies.
    3. Charlier, Isabelle & Paindaveine, Davy & Saracco, Jérôme, 2015. "Conditional quantile estimation based on optimal quantization: From theory to practice," Computational Statistics & Data Analysis, Elsevier, vol. 91(C), pages 20-39.
    4. Diego Gentile Passaro & Fuhito Kojima & Bobak Pakzad-Hurson, 2023. "Equal Pay for Similar Work," Papers 2306.17111, arXiv.org, revised Dec 2024.
    5. Alexandre Belloni & Victor Chernozhukov & Denis Chetverikov & Kengo Kato, 2012. "Some New Asymptotic Theory for Least Squares Series: Pointwise and Uniform Results," Papers 1212.0442, arXiv.org, revised Jun 2015.
    6. Xiaohong Chen & Timothy Christensen, 2013. "Optimal Uniform Convergence Rates for Sieve Nonparametric Instrumental Variables Regression," Papers 1311.0412, arXiv.org.
    7. Hoshino, Tadao & Yanagi, Takahide, 2023. "Treatment effect models with strategic interaction in treatment decisions," Journal of Econometrics, Elsevier, vol. 236(2).
    8. Antoine, Bertille & Lavergne, Pascal, 2023. "Identification-robust nonparametric inference in a linear IV model," Journal of Econometrics, Elsevier, vol. 235(1), pages 1-24.
    9. Holland, Ashley D., 2017. "Penalized spline estimation in the partially linear model," Journal of Multivariate Analysis, Elsevier, vol. 153(C), pages 211-235.
    10. Xiaohong Chen & Timothy M. Christensen, 2014. "Optimal Uniform Convergence Rates and Asymptotic Normality for Series Estimators under Weak Dependence and Weak Conditions," Cowles Foundation Discussion Papers 1976, Cowles Foundation for Research in Economics, Yale University.
    11. Xiaohong Chen & Timothy M. Christensen, 2013. "Optimal uniform convergence rates for sieve nonparametric instrumental variables regression," CeMMAP working papers 56/13, Institute for Fiscal Studies.
    12. Alexandre Belloni & Victor Chernozhukov & Denis Chetverikov & Ivan Fernandez-Val, 2016. "Conditional quantile processes based on series or many regressors," CeMMAP working papers 46/16, Institute for Fiscal Studies.
    13. Matias D. Cattaneo & Richard K. Crump & Max H. Farrell & Ernst Schaumburg, 2020. "Characteristic-Sorted Portfolios: Estimation and Inference," The Review of Economics and Statistics, MIT Press, vol. 102(3), pages 531-551, July.
    14. Matias Cattaneo & Michael Jansson & Whitney K. Newey, 2015. "Alternative asymptotics and the partially linear model with many regressors," CeMMAP working papers 36/15, Institute for Fiscal Studies.
    15. Max H. Farrell, 2013. "Robust Inference on Average Treatment Effects with Possibly More Covariates than Observations," Papers 1309.4686, arXiv.org, revised Feb 2018.
    16. Xiaohong Chen & Timothy M. Christensen, 2014. "Optimal uniform convergence rates and asymptotic normality for series estimators under weak dependence and weak conditions," CeMMAP working papers 46/14, Institute for Fiscal Studies.
    17. Whitney K. Newey & James M. Robins, 2017. "Cross-fitting and fast remainder rates for semiparametric estimation," CeMMAP working papers CWP41/17, Centre for Microdata Methods and Practice, Institute for Fiscal Studies.
    18. Mengshan Xu & Taisuke Otsu, 2022. "Isotonic propensity score matching," Papers 2207.08868, arXiv.org, revised Aug 2024.
    19. Sebastian Calonico & Matias D. Cattaneo & Max H. Farrell, 2018. "On the Effect of Bias Estimation on Coverage Accuracy in Nonparametric Inference," Journal of the American Statistical Association, Taylor & Francis Journals, vol. 113(522), pages 767-779, April.
    20. Bertille Antoine & Pascal Lavergne, 2020. "Identification-Robust Nonparametric Interference in a Linear IV Model," Discussion Papers dp20-03, Department of Economics, Simon Fraser University.
    21. Kazuhiko Shinoda & Takahiro Hoshino, 2022. "Orthogonal Series Estimation for the Ratio of Conditional Expectation Functions," Papers 2212.13145, arXiv.org.
    22. Taisuke Otsu & Mengshan Xu, 2022. "Isotonic propensity score matching," STICERD - Econometrics Paper Series 623, Suntory and Toyota International Centres for Economics and Related Disciplines, LSE.
    23. Byunghoon Kang, 2019. "Inference in Nonparametric Series Estimation with Specification Searches for the Number of Series Terms," Papers 1909.12162, arXiv.org, revised Feb 2020.
    24. Semenova, Vira, 2023. "Debiased machine learning of set-identified linear models," Journal of Econometrics, Elsevier, vol. 235(2), pages 1725-1746.
    25. Fang Han, 2024. "An Introduction to Permutation Processes (version 0.5)," Papers 2407.09664, arXiv.org.
    26. Matias D. Cattaneo & Fang Han & Zhexiao Lin, 2023. "On Rosenbaum's Rank-based Matching Estimator," Papers 2312.07683, arXiv.org, revised Jan 2024.
    27. Whitney K. Newey & James M. Robins, 2017. "Cross-fitting and fast remainder rates for semiparametric estimation," CeMMAP working papers 41/17, Institute for Fiscal Studies.
    28. Jose Olmo, 2023. "A nonparametric predictive regression model using partitioning estimators based on Taylor expansions," Journal of Time Series Analysis, Wiley Blackwell, vol. 44(3), pages 294-318, May.
    29. Mohlin , Erik, 2018. "Asymptotically Optimal Regression Trees," Working Papers 2018:12, Lund University, Department of Economics.

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