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Jonathan M.V. Davis

Not to be confused with: Jonathan Scott Davis

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.

Blog mentions

As found by EconAcademics.org, the blog aggregator for Economics research:
  1. Daniel Aaronson & Jonathan Davis & Luojia Hu, 2012. "Explaining the decline in the U.S. labor force participation rate," Chicago Fed Letter, Federal Reserve Bank of Chicago, issue Mar.

    Mentioned in:

    1. Given the enormity of the short- and long-run fiscal challenges facing the US, the lack of policy detail from both presidential candidates is disappointing
      by Blog Admin in British Politics and Policy at LSE on 2012-10-25 18:00:36
    2. Monetary or fiscal stimulus can help only if unemployment is cyclical; otherwise, if unemployment is structural expansionary policies will lead only to inflation. Careful recent analyses indicate that unemployment is mainly cyclical in the US
      by Blog Admin in British Politics and Policy at LSE on 2012-10-24 21:00:33

Working papers

  1. Jonathan Guryan & Jens Ludwig & Monica P. Bhatt & Philip J. Cook & Jonathan M.V. Davis & Kenneth Dodge & George Farkas & Roland G. Fryer Jr & Susan Mayer & Harold Pollack & Laurence Steinberg, 2021. "Not Too Late: Improving Academic Outcomes Among Adolescents," NBER Working Papers 28531, National Bureau of Economic Research, Inc.

    Cited by:

    1. Bonesrønning, Hans & Finseraas, Henning & Hardoy, Ines & Iversen, Jon Marius Vaag & Nyhus, Ole Henning & Opheim, Vibeke & Salvanes, Kari Vea & Sandsør, Astrid Marie Jorde & Schøne, Pål, 2022. "Small-group instruction to improve student performance in mathematics in early grades: Results from a randomized field experiment," Journal of Public Economics, Elsevier, vol. 216(C).
    2. Carlana, Michela & La Ferrara, Eliana, 2021. "Apart but Connected: Online Tutoring and Student Outcomes during the COVID-19 Pandemic," CEPR Discussion Papers 15761, C.E.P.R. Discussion Papers.
    3. de Ree, Joppe & Maggioni, Mario A. & Paulle, Bowen & Rossignoli, Domenico & Ruijs, Nienke & Walentek, Dawid, 2023. "Closing the income-achievement gap? Experimental evidence from high-dosage tutoring in Dutch primary education," Economics of Education Review, Elsevier, vol. 94(C).
    4. Borra, Cristina & Iacovou, Maria & Sevilla, Almudena, 2021. "Adolescence Development and the Math Gender Gap," IZA Discussion Papers 14077, Institute of Labor Economics (IZA).
    5. Jonathan M.V. Davis & Jonathan Guryan & Kelly Hallberg & Jens Ludwig, 2017. "The Economics of Scale-Up," NBER Working Papers 23925, National Bureau of Economic Research, Inc.
    6. Pedro S. Martins, 2017. "(How) do non-cognitive skills programs improve adolescent school achievement? Experimental evidence," Nova SBE Working Paper Series wp614, Universidade Nova de Lisboa, Nova School of Business and Economics.
    7. Henning Finseraas & Ole Henning Nyhus & Kari Vea Salvanes & Astrid Marie Jorde Sandsør, 2024. "Sustained Effects of Small-Group Instruction in Mathematics," CESifo Working Paper Series 11021, CESifo.
    8. Angrist, Noam & Bergman, Peter & Matsheng, Moitshepi, 2020. "School's Out: Experimental Evidence on Limiting Learning Loss Using," IZA Discussion Papers 14009, Institute of Labor Economics (IZA).
    9. Nicolai T. Borgen & Lars J. Kirkebøen & Andreas Kotsadam & Oddbjørn Raaum, 2022. "Do Funds for More Teachers Improve Student Outcomes?," CESifo Working Paper Series 9756, CESifo.
    10. Verónica Cabezas & José Ignacio Cuesta & Francisco Gallego, 2021. "Does Short-Term School Tutoring have Medium-Term Effects? Experimental Evidence from Chile," Documentos de Trabajo 565, Instituto de Economia. Pontificia Universidad Católica de Chile..
    11. Lenard, Matthew A. & Silliman, Mikko, 2024. "Informal Social Interactions, Academic Achievement and Behavior: Evidence from Peers on the School Bus," IZA Discussion Papers 16982, Institute of Labor Economics (IZA).
    12. Noam Angrist & Peter Bergman & Moitshepi Matsheng, 2020. "School’s Out: Experimental Evidence on Limiting Learning Loss Using “Low-Tech” in a Pandemic," NBER Working Papers 28205, National Bureau of Economic Research, Inc.
    13. Lars J. Kirkebøen & Trude Gunnes & Lena Lindenskov & Marte Rønning, 2021. "Didactic methods and small-group instruction for low-performing adolescents in mathematics. Results from a randomized controlled trial," Discussion Papers 957, Statistics Norway, Research Department.

  2. Bedoya, Guadalupe & Bittarello, Luca & Davis, Jonathan & Mittag, Nikolas, 2018. "Distributional Impact Analysis: Toolkit and Illustrations of Impacts beyond the Average Treatment Effect," IZA Discussion Papers 11863, Institute of Labor Economics (IZA).

    Cited by:

    1. Maitra, Pushkar & Mitra, Sandip & Mookherjee, Dilip & Visaria, Sujata, 2022. "Evaluating the distributive effects of a micro-credit intervention," Journal of Development Economics, Elsevier, vol. 158(C).
    2. Caselli, Francesca & Wingender, Philippe, 2021. "Heterogeneous effects of fiscal rules: The Maastricht fiscal criterion and the counterfactual distribution of government deficits✰," European Economic Review, Elsevier, vol. 136(C).
    3. Jonathan M.V. Davis, 2017. "The Short and Long Run Impacts of Centralized Clearinghouses: Evidence from Matching Teach For America Teachers to Schools," 2017 Papers pda791, Job Market Papers.
    4. Eszter Czibor & David Jimenez-Gomez & John A. List, 2019. "The Dozen Things Experimental Economists Should Do (More of)," NBER Working Papers 25451, National Bureau of Economic Research, Inc.
    5. Bedoya Arguelles,Guadalupe & Coville,Aidan & Haushofer,Johannes & Isaqzadeh,Mohammad Razaq & Shapiro,Jeremy, 2019. "No Household Left Behind : Afghanistan Targeting the Ultra Poor Impact Evaluation," Policy Research Working Paper Series 8877, The World Bank.
    6. De Frahan, B. Henry & Bali, J. & Tuyishime, C., 2018. "Income and welfare effects of input subsidies across representative agricultural households of rural Rwanda," 2018 Conference, July 28-August 2, 2018, Vancouver, British Columbia 277469, International Association of Agricultural Economists.
    7. Francesca Caselli & Mr. Philippe Wingender, 2018. "Bunching at 3 Percent: The Maastricht Fiscal Criterion and Government Deficits," IMF Working Papers 2018/182, International Monetary Fund.
    8. Robson, Matthew & Vollmer, Frank & Doğan, Basak Berçin & Grede, Nils, 2024. "Distributional impacts of cash transfers on the multidimensional poverty of refugees: The Emergency Social Safety Net in Turkey," World Development, Elsevier, vol. 179(C).
    9. Pushkar Maitra & Sandip Mitra & Dilip Mookherjee & Sujata Visaria, 2021. "Evaluating the Distributive Effects of a Development Intervention," HKUST CEP Working Papers Series 202106, HKUST Center for Economic Policy.

  3. Daniel Aaronson & Jonathan Davis & Karl Schulze, 2018. "Internal Immigrant Mobility in the Early 20th Century: Experimental Evidence from Galveston Immigrants," Working Paper Series WP-2018-4, Federal Reserve Bank of Chicago.

    Cited by:

    1. Philipp Ager & James J Feigenbaum & Casper W Hansen & Hui Ren Tan, 2024. "How the Other Half Died: Immigration and Mortality in U.S. Cities," The Review of Economic Studies, Review of Economic Studies Ltd, vol. 91(1), pages 1-44.
    2. Ran Abramitzky & Leah Platt Boustan & Dylan Connor, 2020. "Leaving the Enclave: Historical Evidence on Immigrant Mobility from the Industrial Removal Office," Working Papers 2020-35, Princeton University. Economics Department..
    3. Ran Abramitzky & Leah Platt Boustan & Dylan Connor, 2020. "Leaving the Enclave: Historical Evidence on Immigrant Mobility from the Industrial Removal Office," NBER Working Papers 27372, National Bureau of Economic Research, Inc.

  4. Jonathan Davis & Bhashkar Mazumder, 2017. "The Decline in Intergenerational Mobility After 1980," Working Paper Series WP-2017-5, Federal Reserve Bank of Chicago, revised 14 Jan 2022.

    Cited by:

    1. Steven N. Durlauf & Andros Kourtellos & Chih Ming Tan, 2022. "The Great Gatsby Curve," NBER Working Papers 29761, National Bureau of Economic Research, Inc.
    2. Olivier Godechot, 2020. "The Great Separation: Top Earner Segregation at Work in High-Income Countries," SciencePo Working papers Main hal-03098791, HAL.
    3. Yoosoon Chang & Steven N. Durlauf & Seunghee Lee & Joon Y. Park, 2023. "A Trajectories-Based Approach to Measuring Intergenerational Mobility," NBER Working Papers 31020, National Bureau of Economic Research, Inc.
    4. Alberto Alesina & Sebastian Hohmann & Stelios Michalopoulos & Elias Papaioannou, 2019. "Intergenerational Mobility in Africa," NBER Working Papers 25534, National Bureau of Economic Research, Inc.
    5. Steven N. Durlauf & Ananth Seshadri, 2018. "Understanding the Great Gatsby Curve," NBER Macroeconomics Annual, University of Chicago Press, vol. 32(1), pages 333-393.
    6. Deutscher, Nathan & Mazumder, Bhashkar, 2021. "Measuring Intergenerational Income Mobility: A Synthesis of Approaches," SocArXiv 3qnuv, Center for Open Science.
    7. Chris Belfield & Claire Crawford & Ellen Greaves & Paul Gregg & Lindsey Macmillan, 2017. "Intergenerational income persistence within families," IFS Working Papers W17/11, Institute for Fiscal Studies.
    8. Brantly Callaway & Weige Huang, 2018. "Intergenerational Income Mobility: Counterfactual Distributions with a Continuous Treatment," DETU Working Papers 1801, Department of Economics, Temple University.
    9. Olcina, Gonzalo & Calabuig, Vicente, 2021. "Trust and punishment," European Journal of Political Economy, Elsevier, vol. 70(C).
    10. Nizam MelikÅŸah Demirtas & Orhan Torul, 2021. "Intergenerational Income Mobility in Turkey Abstract:," Working Papers 2021/05, Bogazici University, Department of Economics.
    11. George A. Erickcek, 2023. "What is Inclusionary Economic Development—What if Employees Mattered?," Economic Development Quarterly, , vol. 37(1), pages 27-33, February.
    12. Stephen Smith, 2018. "Development Economics Meets the Challenges of Lagging U.S. Areas: Applications to Education, Health and Nutrition, Behavior, and Infrastructure," Working Papers 2018-7, The George Washington University, Institute for International Economic Policy.
    13. Ulrika Ahrsjö & René Karadakic & Joachim Kahr Rasmussen, 2021. "Intergenerational Mobility Trends and the Changing Role of Female Labor," CEBI working paper series 21-19, University of Copenhagen. Department of Economics. The Center for Economic Behavior and Inequality (CEBI).

  5. 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.

    Cited by:

    1. Victor Chernozhukov & Mert Demirer & Esther Duflo & Ivan Fernandez-Val, 2017. "Generic machine learning inference on heterogenous treatment effects in randomized experiments," CeMMAP working papers CWP61/17, Centre for Microdata Methods and Practice, Institute for Fiscal Studies.
    2. 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.
    3. Anna Aizer & Shari Eli & Adriana Lleras-Muney & Keyoung Lee, 2020. "Do Youth Employment Programs Work? Evidence from the New Deal," NBER Working Papers 27103, National Bureau of Economic Research, Inc.
    4. Ozkan Eren & Michael F. Lovenheim & Naci H. Mocan, 2018. "The Effect of Grade Retention on Adult Crime: Evidence from a Test-Based Promotion Policy," NBER Working Papers 25384, National Bureau of Economic Research, Inc.
    5. O'Neill, E. & Weeks, M., 2018. "Causal Tree Estimation of Heterogeneous Household Response to Time-Of-Use Electricity Pricing Schemes," Cambridge Working Papers in Economics 1865, Faculty of Economics, University of Cambridge.
    6. Andreas Gulyas & Krzysztof Pytka, 2019. "Understanding the Sources of Earnings Losses After Job Displacement: A Machine-Learning Approach," CRC TR 224 Discussion Paper Series crctr224_2019_131, University of Bonn and University of Mannheim, Germany.
    7. Mohamed Abdel Jelil & Kartika Bhatia & Anne Brockmeyer & Quy-Toan Do & Cl´ement Joubert, 2019. "Unemployment and Violent Extremism: Evidence from Daesh Foreign Recruits," Working Papers 1293, Economic Research Forum, revised 2019.
    8. Aaron Chalfin & Benjamin Hansen & Rachel Ryley, 2019. "The Minimum Legal Drinking Age and Crime Victimization," NBER Working Papers 26051, National Bureau of Economic Research, Inc.
    9. Eoghan O'Neill & Melvyn Weeks, 2018. "Causal Tree Estimation of Heterogeneous Household Response to Time-Of-Use Electricity Pricing Schemes," Papers 1810.09179, arXiv.org, revised Oct 2019.

  6. Jonathan M.V. Davis & Jonathan Guryan & Kelly Hallberg & Jens Ludwig, 2017. "The Economics of Scale-Up," NBER Working Papers 23925, National Bureau of Economic Research, Inc.

    Cited by:

    1. Agostinelli,Francesco & Avitabile,Ciro & Bobba,Matteo, 2021. "Enhancing Human Capital in Children : A Case Study on Scaling," Policy Research Working Paper Series 9647, The World Bank.
    2. Kerwin, Jason Theodore & Thornton, Rebecca, 2020. "Making the Grade: The Sensitivity of Education Program Effectiveness to Input Choices and Outcome Measures," SocArXiv ct9sj, Center for Open Science.
    3. Omar Al-Ubaydli & John A. List & Dana Suskind, 2019. "The Science of Using Science: Towards an Understanding of the Threats to Scaling Experiments," NBER Working Papers 25848, National Bureau of Economic Research, Inc.
    4. Dustan, Andrew & Maldonado, Stanislao & Hernandez-Agramonte, Juan Manuel, 2018. "Motivating bureaucrats with non-monetary incentives when state capacity is weak: Evidence from large-scale field experiments in Peru," MPRA Paper 90952, University Library of Munich, Germany.
    5. Stefano Carattini & Kenneth Gillingham & Xiangyu Meng & Erez Yoeli, 2024. "Peer-to-peer solar and social rewards: Evidence from a field experiment," Natural Field Experiments 00793, The Field Experiments Website.
    6. Gonzales Mariella & Gianmarco León-Ciliotta & Luis R. Martinez, 2018. "How effective are monetary incentives to vote? Evidence from a nationwide policy," Economics Working Papers 1667, Department of Economics and Business, Universitat Pompeu Fabra, revised Jul 2019.
    7. de Ree, Joppe & Maggioni, Mario A. & Paulle, Bowen & Rossignoli, Domenico & Ruijs, Nienke & Walentek, Dawid, 2023. "Closing the income-achievement gap? Experimental evidence from high-dosage tutoring in Dutch primary education," Economics of Education Review, Elsevier, vol. 94(C).
    8. Andrew Dustan & Juan Manuel Hernandez-Agramonte & Stanislao Maldonado, 2018. "Motivating bureaucrats with non-monetary incentives when state capacity is weak: Evidence from large-scale," Natural Field Experiments 00664, The Field Experiments Website.
    9. Clement De Chaisemartin & Nicolás Navarrete, 2023. "The Direct and Spillover Effects of a Nationwide Socio-Emotional Learning Program for Disruptive Students," SciencePo Working papers Main hal-03796424, HAL.
    10. Omar Al-Ubaydli & John List & Claire Mackevicius & Min Sok Lee & Dana Suskind, 2019. "How Can Experiments Play a Greater Role in Public Policy? 12 Proposals from an Economic Model of Scaling," Artefactual Field Experiments 00679, The Field Experiments Website.
    11. Oriana Bandiera & Robin Burgess & Erika Deserranno & Ricardo Morel & Imran Rasul & Munshi Sulaiman, 2020. "Development Policy through the Lens of Social Structure," STICERD - Economic Organisation and Public Policy Discussion Papers Series 69, Suntory and Toyota International Centres for Economics and Related Disciplines, LSE.
    12. Andor, Mark A. & Gerster, Andreas & Peters, Jörg & Schmidt, Christoph M., 2018. "Social Norms and Energy Conservation Beyond the US," EfD Discussion Paper 18-16, Environment for Development, University of Gothenburg.
    13. Eszter Czibor & David Jimenez-Gomez & John A. List, 2019. "The Dozen Things Experimental Economists Should Do (More of)," NBER Working Papers 25451, National Bureau of Economic Research, Inc.
    14. Cameron, Lisa A. & Shah, Manisha, 2017. "Scaling Up Sanitation: Evidence from an RCT in Indonesia," IZA Discussion Papers 10619, Institute of Labor Economics (IZA).
    15. Dustan, Andrew & Hernandez-Agramonte, Juan Manuel & Maldonado, Stanislao, 2023. "Motivating bureaucrats with behavioral insights when state capacity is weak: Evidence from large-scale field experiments in Peru," Journal of Development Economics, Elsevier, vol. 160(C).
    16. Chaisemartin, Clement de & Navarrete, Nicolas, 2019. "The direct and spillover effects of a mental health program for disruptive students," CAGE Online Working Paper Series 401, Competitive Advantage in the Global Economy (CAGE).
    17. Waddell, Glen R. & Putz, Jenni, 2022. "What Can We Learn from Student Performance Measures? Identifying Treatment in the Presence of Curves and Letter Grades," IZA Discussion Papers 15321, Institute of Labor Economics (IZA).
    18. Byung Gwun Choy, 2020. "Random Interaction Effect of Digital Transformation on General Price Level and Economic Growth," Foresight and STI Governance (Foresight-Russia till No. 3/2015), National Research University Higher School of Economics, vol. 14(1), pages 29-47.
    19. Hutchinson-Quillian, Jessan & Reiley, David & Samek, Anya, 2021. "Hassle costs and workplace charitable giving: Field experiments with Google employees," Journal of Economic Behavior & Organization, Elsevier, vol. 191(C), pages 679-685.
    20. Aaron Chalfin & Benjamin Hansen & Rachel Ryley, 2019. "The Minimum Legal Drinking Age and Crime Victimization," NBER Working Papers 26051, National Bureau of Economic Research, Inc.
    21. Feng Deng, 2020. "Informality, informal institutions, and uneven land reform in China," Post-Communist Economies, Taylor & Francis Journals, vol. 32(4), pages 495-510, May.
    22. Monica P. Bhatt & Jonathan Guryan & Jens Ludwig & Anuj K. Shah, 2021. "Scope Challenges to Social Impact," NBER Working Papers 28406, National Bureau of Economic Research, Inc.
    23. Heller, Sara B., 2022. "When scale and replication work: Learning from summer youth employment experiments," Journal of Public Economics, Elsevier, vol. 209(C).

  7. Jonathan M.V. Davis, 2017. "The Short and Long Run Impacts of Centralized Clearinghouses: Evidence from Matching Teach For America Teachers to Schools," 2017 Papers pda791, Job Market Papers.

    Cited by:

    1. Ambuehl, Sandro & Groves, Vivienne, 2020. "Unraveling over time," Games and Economic Behavior, Elsevier, vol. 121(C), pages 252-264.

  8. Bratberg, Espen & Davis, Jonathan & Mazumder, Bhashkar & Nybom, Martin & Schnitzlein, Daniel & Vaage, Kjell, 2015. "A comparison of intergenerational mobility curves in Germany, Norway, Sweden and the U.S," Working Papers in Economics 01/15, University of Bergen, Department of Economics.

    Cited by:

    1. Dodin, Majed & Findeisen, Sebastian & Henkel, Lukas & Sachs, Dominik & Schüle, Paul, 2024. "Social mobility in Germany," Journal of Public Economics, Elsevier, vol. 232(C).
    2. Shoshana Grossbard & Lucia Mangiavacchi & William Nilsson & Luca Piccoli, 2019. "Spouses' Income Association and Inequality: A Non-Linear Perspective," Working Papers 2019-076, Human Capital and Economic Opportunity Working Group.
    3. Maximilian Stockhausen, 2021. "Like father, like son? A comparison of absolute and relative intergenerational labour income mobility in Germany and the US," The Journal of Economic Inequality, Springer;Society for the Study of Economic Inequality, vol. 19(4), pages 667-683, December.
    4. Jørgen Modalsli, 2023. "Multigenerational Persistence: Evidence from 146 Years of Administrative Data," Journal of Human Resources, University of Wisconsin Press, vol. 58(3), pages 929-961.
    5. Neidhöfer, Guido & Serrano, Joaquín & Gasparini, Leonardo, 2018. "Educational inequality and intergenerational mobility in Latin America: A new database," Journal of Development Economics, Elsevier, vol. 134(C), pages 329-349.
    6. Carl Leonard Fischer & Lorenz Meister, 2023. "Economic Determinants of Populism," DIW Roundup: Politik im Fokus 145, DIW Berlin, German Institute for Economic Research.
    7. Bratsberg, Bernt & Markussen, Simen & Raaum, Oddbjørn & Røed, Knut & Røgeberg, Ole J., 2018. "Trends in Assortative Mating and Offspring Outcomes," IZA Discussion Papers 11753, Institute of Labor Economics (IZA).
    8. Markussen, Simen & Røed, Knut, 2023. "The Rising Influence of Family Background on Early School Performance," IZA Discussion Papers 16223, Institute of Labor Economics (IZA).
    9. Olivier BARGAIN & Maria C. LO BUE & Flaviana PALMISANO, 2022. "Dynastic Measures of Intergenerational Mobility," Bordeaux Economics Working Papers 2022-21, Bordeaux School of Economics (BSE).
    10. Schöb Ronnie, 2020. "Eine neue solidarische Grundsicherung," Perspektiven der Wirtschaftspolitik, De Gruyter, vol. 21(2), pages 162-184, June.
    11. Nybom, Martin & Stuhler, Jan, 2015. "Biases in standard measures of intergenerational income dependence," Working Paper Series 2015:13, IFAU - Institute for Evaluation of Labour Market and Education Policy.
    12. Maria F. Hoen & Simen Markussen & Knut Røed, 2022. "Immigration and economic mobility," Journal of Population Economics, Springer;European Society for Population Economics, vol. 35(4), pages 1589-1630, October.
    13. Diding Sakri & Andy Sumner & Arief Anshory Yusuf, 2022. "Whose intergenerational mobility?: A new set of estimates for Indonesia by gender, geography, and generation," WIDER Working Paper Series wp-2022-12, World Institute for Development Economic Research (UNU-WIDER).
    14. Bertha Rohenkohl, 2019. "Intergenerational Income Mobility in the UK:New evidence using the BHPS and Understanding Society," Working Papers 2019017, The University of Sheffield, Department of Economics.
    15. Gilles Le Garrec, 2023. "Accounting for the long-term stability of the welfare-state regimes in a model with distributive preferences and social norms," SciencePo Working papers Main hal-03954024, HAL.
    16. Martín Trombetta, 2023. "The distributional implications of short-term income mobility: evidence for Latin America," Working Papers 241, Red Nacional de Investigadores en Economía (RedNIE).
    17. Marie Connolly & Catherine Haeck, 2024. "Intergenerational income mobility trends in Canada," Canadian Journal of Economics/Revue canadienne d'économique, John Wiley & Sons, vol. 57(1), pages 5-26, February.
    18. Iryna Kyzyma & Olaf Groh-Samberg, 2020. "Estimation of intergenerational mobility in small samples: evidence from German survey data," Social Indicators Research: An International and Interdisciplinary Journal for Quality-of-Life Measurement, Springer, vol. 151(2), pages 621-643, September.
    19. Gilles Le Garrec, 2023. "Accounting for the long-term stability of the welfare-state regimes in a model with distributive preferences and social norms," Working Papers hal-03954024, HAL.
    20. Markussen, Simen & Røed, Knut, 2017. "Egalitarianism under Pressure: Toward Lower Economic Mobility in the Knowledge Economy?," IZA Discussion Papers 10664, Institute of Labor Economics (IZA).
    21. Francesco Bloise & Michele Raitano, 2021. "Intergenerational Earnings Persistence in Italy between Actual Father–Son Pairs Accounting for Lifecycle and Attenuation Bias," Oxford Bulletin of Economics and Statistics, Department of Economics, University of Oxford, vol. 83(1), pages 88-114, February.
    22. Chen, Xi & Yan, Binjian & Gill, Thomas M., 2020. "Childhood Circumstances and Health Inequality in Old Age: Comparative Evidence from China and the United States," IZA Discussion Papers 13460, Institute of Labor Economics (IZA).
    23. David (David Patrick) Madden, 2019. "BMI Mobility and Obesity Transitions Among Children in Ireland," Working Papers 201922, School of Economics, University College Dublin.
    24. Coban, Mustafa & Sauerhammer, Sarah, 2017. "Transmission channels of intergenerational income mobility: Empirical evidence from Germany and the Unites States," Discussion Paper Series 138, Julius Maximilian University of Würzburg, Chair of Economic Order and Social Policy.
    25. Tharcisio Leone, 2019. "Intergenerational Mobility in Education: Estimates of the Worldwide Variation," Journal of Economic Development, Chung-Ang Unviersity, Department of Economics, vol. 44(4), pages 1-42, December.
    26. Schröder, Carsten & König, Johannes & Fedorets, Alexandra & Goebel, Jan & Grabka, Markus M. & Lüthen, Holger & Metzing, Maria & Schikora, Felicitas & Liebig, Stefan, 2020. "The economic research potentials of the German Socio-Economic Panel study," EconStor Open Access Articles and Book Chapters, ZBW - Leibniz Information Centre for Economics, vol. 21(3), pages 335-371.
    27. Deutscher, Nathan & Mazumder, Bhashkar, 2021. "Measuring Intergenerational Income Mobility: A Synthesis of Approaches," SocArXiv 3qnuv, Center for Open Science.
    28. Feld Lars P. & Schmidt Christoph M., 2016. "Jenseits der schrillen Töne: Elemente für eine rationale Diskussion über die Ungleichheit von Einkommen und Vermögen in Deutschland," Perspektiven der Wirtschaftspolitik, De Gruyter, vol. 17(2), pages 188-205, July.
    29. Halliday, Timothy & Mazumder, Bhashkar & Wong, Ashley, 2021. "Intergenerational mobility in self-reported health status in the US," Journal of Public Economics, Elsevier, vol. 193(C).
    30. Astrid Kunze, 2020. "The effect of children on male earnings and inequality," Review of Economics of the Household, Springer, vol. 18(3), pages 683-710, September.
    31. Ke Meng & Shouhao Li, 2023. "Welfare Regimes and Intergenerational Social Mobility: An Institutional Explanation of the Great Gatsby Curve," Social Indicators Research: An International and Interdisciplinary Journal for Quality-of-Life Measurement, Springer, vol. 165(1), pages 355-375, January.
    32. Ingvild Almås & Andreas Kotsadam & Espen R. Moen & Knut Røed, 2023. "The Economics of Hypergamy," Journal of Human Resources, University of Wisconsin Press, vol. 58(1), pages 260-281.
    33. Kenedi, Gustave & Sirugue, Louis, 2023. "Intergenerational income mobility in France: A comparative and geographic analysis," Journal of Public Economics, Elsevier, vol. 226(C).
    34. Jonathan Davis & Bhashkar Mazumder, 2017. "The Decline in Intergenerational Mobility After 1980," Working Paper Series WP-2017-5, Federal Reserve Bank of Chicago, revised 14 Jan 2022.
    35. Bütikofer, Aline & Dalla-Zuanna, Antonio & Salvanes, Kjell G., 2018. "Breaking the Links: Natural Resource Booms and Intergenerational Mobility," Discussion Paper Series in Economics 19/2018, Norwegian School of Economics, Department of Economics.
    36. Alexeev, Sergey, 2020. "The role of imputed rents in intergenerational income mobility in three countries," Journal of Housing Economics, Elsevier, vol. 49(C).
    37. Sam Asher & Paul Novosad & Charlie Rafkin, 2018. "Partial Identification of Expectations with Interval Data," Papers 1802.10490, arXiv.org.
    38. Deutscher, Nathan & Mazumder, Bhashkar, 2020. "Intergenerational mobility across Australia and the stability of regional estimates," Labour Economics, Elsevier, vol. 66(C).
    39. Feld, Lars P. & Schmidt, Christoph M. & Schnabel, Isabel & Truger, Achim & Wieland, Volker, 2019. "Den Strukturwandel meistern. Jahresgutachten 2019/20 [Dealing with Structural Change. Annual Report 2019/20]," Annual Economic Reports / Jahresgutachten, German Council of Economic Experts / Sachverständigenrat zur Begutachtung der gesamtwirtschaftlichen Entwicklung, volume 127, number 201920, February.
    40. Sander Wagner, 2017. "Children of the Reunification: Gendered Effects on Intergenerational Mobility in Germany," Working Papers 2017-03, Center for Research in Economics and Statistics.
    41. Xi Chen & Binjian Yan & Thomas M. Gill, 2022. "Childhood Circumstances and Health Inequality in Old Age: Comparative Evidence from China and the USA," Social Indicators Research: An International and Interdisciplinary Journal for Quality-of-Life Measurement, Springer, vol. 160(2), pages 689-716, April.
    42. Hoen, Maria F. & Markussen, Simen & Røed, Knut, 2018. "Immigration and Social Mobility," IZA Discussion Papers 11904, Institute of Labor Economics (IZA).
    43. Kristoffer Berg & Morten Håvarstein & Magnus E. Stubhaug, 2024. "Meritocratic Labor Income Taxation," CESifo Working Paper Series 11058, CESifo.
    44. Nilsson, Jan Olof William, 2018. "Estimating nonlinear intergenerational income mobility with correlation curves," Economics Discussion Papers 2018-62, Kiel Institute for the World Economy (IfW Kiel).
    45. Paul Hufe & Andreas Peichl & Daniel Weishaar, 2018. "Intergenerationelle Einkommensmobilität: Schlusslicht Deutschland?," ifo Schnelldienst, ifo Institute - Leibniz Institute for Economic Research at the University of Munich, vol. 71(20), pages 20-28, October.
    46. Nicole Black & Danusha Jayawardana & Gawain Heckley, 2023. "Children’s Time Allocation and the Socioeconomic Gap in Human Capital," Papers 2023-06, Centre for Health Economics, Monash University.
    47. Natalia Sánchez Martín & Carmelo García-Perez, 2023. "The Intergenerational Mobility of Income: A Study Applied to the Spanish Case (2005–2011)," Journal of Family and Economic Issues, Springer, vol. 44(1), pages 65-83, March.
    48. Nizam MelikÅŸah Demirtas & Orhan Torul, 2021. "Intergenerational Income Mobility in Turkey Abstract:," Working Papers 2021/05, Bogazici University, Department of Economics.
    49. Kunievsky, Nadav, 2024. "On the interpretation of the Intergenerational Elasticity and the Rank–Rank coefficients for cross country comparison," Economics Letters, Elsevier, vol. 236(C).
    50. Brunori, Paolo & Hufe, Paul & Mahler, Daniel, 2023. "The roots of inequality: estimating inequality of opportunity from regression trees and forests," LSE Research Online Documents on Economics 118220, London School of Economics and Political Science, LSE Library.
    51. Toru Kitagawa & Martin Nybom & Jan Stuhler, 2018. "Measurement error and rank correlations," CeMMAP working papers CWP28/18, Centre for Microdata Methods and Practice, Institute for Fiscal Studies.
    52. Madden, David, 2020. "BMI mobility and obesity transitions among children in Ireland," Economics & Human Biology, Elsevier, vol. 38(C).

  9. Jonathan Davis & Bhashkar Mazumder, 2011. "An Analysis of Sample Selection and the Reliability of Using Short-term Earnings Averages in SIPP-SSA Matched Data," Working Papers 11-39, Center for Economic Studies, U.S. Census Bureau.

    Cited by:

    1. Bhashkar Mazumder, 2014. "Black–White Differences in Intergenerational Economic Mobility in the U.S," Economic Perspectives, Federal Reserve Bank of Chicago, issue Q I.
    2. Christopher Tamborini & ChangHwan Kim & Arthur Sakamoto, 2015. "Education and Lifetime Earnings in the United States," Demography, Springer;Population Association of America (PAA), vol. 52(4), pages 1383-1407, August.
    3. Arthur Sakamoto & Christopher R. Tamborini & ChangHwan Kim, 2018. "Long-Term Earnings Differentials Between African American and White Men by Educational Level," Population Research and Policy Review, Springer;Southern Demographic Association (SDA), vol. 37(1), pages 91-116, February.
    4. Kenneth Couch & Christopher Tamborini & Gayle Reznik, 2015. "The Long-Term Health Implications of Marital Disruption: Divorce, Work Limits, and Social Security Disability Benefits Among Men," Demography, Springer;Population Association of America (PAA), vol. 52(5), pages 1487-1512, October.

Articles

  1. Aaronson, Daniel & Davis, Jonathan & Schulze, Karl, 2020. "Internal immigrant mobility in the early 20th century: evidence from Galveston, Texas," Explorations in Economic History, Elsevier, vol. 76(C).

    Cited by:

    1. Zimran, Ariell, 2022. "US immigrants’ secondary migration and geographic assimilation during the Age of Mass Migration," Explorations in Economic History, Elsevier, vol. 85(C).
    2. Eriksson, Katherine & Ward, Zachary, 2022. "Immigrants and cities during the age of mass migration," Regional Science and Urban Economics, Elsevier, vol. 94(C).
    3. Tyler Anbinder & Dylan Connor & Cormac Ó Gráda & Simone Wegge, 2021. "The Problem of False Positives in Automated Census Linking: Evidence from Nineteenth-Century New York's Irish Immigrants," Working Papers 202114, School of Economics, University College Dublin.

  2. Espen Bratberg & Jonathan Davis & Bhashkar Mazumder & Martin Nybom & Daniel D. Schnitzlein & Kjell Vaage, 2017. "A Comparison of Intergenerational Mobility Curves in Germany, Norway, Sweden, and the US," Scandinavian Journal of Economics, Wiley Blackwell, vol. 119(1), pages 72-101, January.
    See citations under working paper version above.
  3. Jonathan M.V. Davis & Sara B. Heller, 2017. "Using Causal Forests to Predict Treatment Heterogeneity: An Application to Summer Jobs," American Economic Review, American Economic Association, vol. 107(5), pages 546-550, May.

    Cited by:

    1. Lechner, Michael, 2019. "Modified Causal Forests for Estimating Heterogeneous Causal Effects," CEPR Discussion Papers 13430, C.E.P.R. Discussion Papers.
    2. Daniel Goller, 2020. "Analysing a built-in advantage in asymmetric darts contests using causal machine learning," Papers 2008.07165, arXiv.org.
    3. Carlana, Michela & La Ferrara, Eliana, 2021. "Apart but Connected: Online Tutoring and Student Outcomes during the COVID-19 Pandemic," CEPR Discussion Papers 15761, C.E.P.R. Discussion Papers.
    4. Andrew Shipilov & Yeonsin Ahn & Henrich Greve & Tim Rowley, 2024. "The impact of governance practices on firm outcomes: a machine-learning exploration," Journal of Organization Design, Springer;Organizational Design Community, vol. 13(2), pages 45-64, June.
    5. 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.
    6. Diogo Britto & Paolo Pinotti & Breno Sampaio, "undated". "The Effect of Job Loss and Unemployment Insurance on Crime in Brazil," RF Berlin - CReAM Discussion Paper Series 2128, Rockwool Foundation Berlin (RF Berlin) - Centre for Research and Analysis of Migration (CReAM).
    7. Sandrine Mesplé-Somps & Björn Nilsson, 2023. "Role models, aspirations and desire to migrate," Post-Print hal-04163958, HAL.
    8. Knaus, Michael C. & Lechner, Michael & Strittmatter, Anthony, 2018. "Machine Learning Estimation of Heterogeneous Causal Effects: Empirical Monte Carlo Evidence," IZA Discussion Papers 12039, Institute of Labor Economics (IZA).
    9. 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).
    10. Chang Cai & Sandy Dall’Erba, 2021. "On the evaluation of heterogeneous climate change impacts on US agriculture: does group membership matter?," Climatic Change, Springer, vol. 167(1), pages 1-23, July.
    11. Hashibul Hassan & Asad Islam & Abu Siddique & Liang Choon Wang, 2024. "Telementoring and Homeschooling During School Closures: a Randomised Experiment in Rural Bangladesh," The Economic Journal, Royal Economic Society, vol. 134(662), pages 2418-2438.
    12. 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.
    13. Naguib, Costanza, 2019. "Estimating the Heterogeneous Impact of the Free Movement of Persons on Relative Wage Mobility," Economics Working Paper Series 1903, University of St. Gallen, School of Economics and Political Science.
    14. 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.
    15. Jeffrey Smith, 2022. "Treatment Effect Heterogeneity," Evaluation Review, , vol. 46(5), pages 652-677, October.
    16. 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.
    17. Michael Lechner & Jana Mareckova, 2024. "Comprehensive Causal Machine Learning," Papers 2405.10198, arXiv.org.
    18. Buhl-Wiggers, Julie & Kerwin, Jason & Muñoz-Morales, Juan S. & Smith, Jeffrey A. & Thornton, Rebecca L., 2020. "Some Children Left Behind: Variation in the Effects of an Educational Intervention," IZA Discussion Papers 13598, Institute of Labor Economics (IZA).
    19. Knaus, Michael C., 2020. "Double Machine Learning based Program Evaluation under Unconfoundedness," Economics Working Paper Series 2004, University of St. Gallen, School of Economics and Political Science.
    20. Jau-er Chen & Chien-Hsun Huang & Jia-Jyun Tien, 2021. "Debiased/Double Machine Learning for Instrumental Variable Quantile Regressions," Econometrics, MDPI, vol. 9(2), pages 1-18, April.
    21. Paul Clarke & Annalivia Polselli, 2023. "Double Machine Learning for Static Panel Models with Fixed Effects," Papers 2312.08174, arXiv.org, revised Sep 2024.
    22. Brock, J. Michelle & de Haas, Ralph, 2021. "Discriminatory Lending : Evidence from Bankers in the Lab," Other publications TiSEM c54f4f4f-3ad0-4d68-8962-d, Tilburg University, School of Economics and Management.
    23. Ziwei Cong & Jia Liu & Puneet Manchanda, 2021. "The Role of "Live" in Livestreaming Markets: Evidence Using Orthogonal Random Forest," Papers 2107.01629, arXiv.org, revised Sep 2022.
    24. 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.
    25. Engberg, Erik & Görg, Holger & Lodefalk, Magnus & Javed, Farrukh & Längkvist, Martin & Monteiro, Natália Pimenta & Kyvik Nordås, Hildegunn & Schroeder, Sarah & Tang, Aili, 2024. "AI Unboxed and Jobs: A Novel Measure and Firm-Level Evidence from Three Countries," IZA Discussion Papers 16717, Institute of Labor Economics (IZA).
    26. Alpino, Matteo & Hauge, Karen Evelyn & Kotsadam, Andreas & Markussen, Simen, 2022. "Effects of dialogue meetings on sickness absence—Evidence from a large field experiment," Journal of Health Economics, Elsevier, vol. 83(C).
    27. 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.
    28. Michael Lechner & Jana Mareckova, 2022. "Modified Causal Forest," Papers 2209.03744, arXiv.org.
    29. 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.
    30. Sandrine Mesplé-Somps & Björn Nilsson, 2021. "Role models and migration intentions," Working Papers hal-03105639, HAL.
    31. Tomomi Tanaka, 2019. "Human Capital Development in Ghana," World Bank Publications - Reports 34181, The World Bank Group.
    32. Amin, Modhurima Dey & Badruddoza, Syed & McCluskey, Jill J., 2021. "Predicting access to healthful food retailers with machine learning," Food Policy, Elsevier, vol. 99(C).
    33. Yash Raj Shrestha & Vivianna Fang He & Phanish Puranam & Georg von Krogh, 2021. "Algorithm Supported Induction for Building Theory: How Can We Use Prediction Models to Theorize?," Organization Science, INFORMS, vol. 32(3), pages 856-880, May.
    34. Marica Valente, 2020. "Policy evaluation of waste pricing programs using heterogeneous causal effect estimation," Papers 2010.01105, arXiv.org, revised Nov 2022.
    35. 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.
    36. Miller, Steve, 2020. "Causal forest estimation of heterogeneous and time-varying environmental policy effects," Journal of Environmental Economics and Management, Elsevier, vol. 103(C).
    37. 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.
    38. 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.
    39. Carter, Michael R. & Tjernström, Emilia & Toledo, Patricia, 2019. "Heterogeneous impact dynamics of a rural business development program in Nicaragua," Journal of Development Economics, Elsevier, vol. 138(C), pages 77-98.
    40. Aksoy, Cevat Giray & Carpenter, Christopher S. & De Haas, Ralph & Dolls, Mathias & Windsteiger, Lisa, 2022. "Reducing Sexual-Orientation Discrimination: Experimental Evidence from Basic Information Treatments," SocArXiv tgvyb, Center for Open Science.
    41. Hayakawa, Kazunobu & Keola, Souknilanh & Urata, Shujiro, 2022. "How effective was the restaurant restraining order against COVID-19? A nighttime light study in Japan," Japan and the World Economy, Elsevier, vol. 63(C).
    42. 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.
    43. 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.
    44. Lundberg, Ian & Brand, Jennie E. & Jeon, Nanum, 2022. "Researcher reasoning meets computational capacity: Machine learning for social science," SocArXiv s5zc8, Center for Open Science.
    45. Thomas Le Barbanchon & Diego Ubfal & Federico Araya, 2023. "The Effects of Working While in School: Evidence from Employment Lotteries," American Economic Journal: Applied Economics, American Economic Association, vol. 15(1), pages 383-410, January.
    46. Costanza Naguib, 2023. "Is the Impact of Opening the Borders Heterogeneous?," Diskussionsschriften dp2312, Universitaet Bern, Departement Volkswirtschaft.
    47. 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.
    48. Strittmatter, Anthony, 2019. "What Is the Value Added by Using Causal Machine Learning Methods in a Welfare Experiment Evaluation?," GLO Discussion Paper Series 336, Global Labor Organization (GLO).
    49. Jonathan M.V. Davis & Sara B. Heller, 2020. "Rethinking the Benefits of Youth Employment Programs: The Heterogeneous Effects of Summer Jobs," The Review of Economics and Statistics, MIT Press, vol. 102(4), pages 664-677, October.
    50. Pons Rotger, Gabriel & Rosholm, Michael, 2020. "The Role of Beliefs in Long Sickness Absence: Experimental Evidence from a Psychological Intervention," IZA Discussion Papers 13582, Institute of Labor Economics (IZA).
    51. Axenbeck, Janna & Berner, Anne & Kneib, Thomas, 2022. "What drives the relationship between digitalization and industrial energy demand? Exploring firm-level heterogeneity," ZEW Discussion Papers 22-059, ZEW - Leibniz Centre for European Economic Research.
    52. O'Neill, E. & Weeks, M., 2018. "Causal Tree Estimation of Heterogeneous Household Response to Time-Of-Use Electricity Pricing Schemes," Cambridge Working Papers in Economics 1865, Faculty of Economics, University of Cambridge.
    53. Nora Bearth & Michael Lechner, 2024. "Causal Machine Learning for Moderation Effects," Papers 2401.08290, arXiv.org, revised Apr 2024.
    54. Ruyi Ge & Zhiqiang (Eric) Zheng & Xuan Tian & Li Liao, 2021. "Human–Robot Interaction: When Investors Adjust the Usage of Robo-Advisors in Peer-to-Peer Lending," Information Systems Research, INFORMS, vol. 32(3), pages 774-785, September.
    55. Pedro Forquesato, 2022. "Who Benefits from Political Connections in Brazilian Municipalities," Papers 2204.09450, arXiv.org.
    56. Evan D. Peet & Dana Schultz & Susan Lovejoy & Fuchiang (Rich) Tsui, 2023. "Variation in the infant health effects of the women, infants, and children program by predicted risk using novel machine learning methods," Health Economics, John Wiley & Sons, Ltd., vol. 32(1), pages 194-217, January.
    57. Le Barbanchon, Thomas & Ubfal, Diego & Araya, Federico, 2020. "The Effects of Working While in School: Evidence from Uruguayan Lotteries," IZA Discussion Papers 13929, Institute of Labor Economics (IZA).
    58. Madhura Dasgupta & Samarth Gupta, 2024. "What Determines Enterprise Borrowing from Self Help Groups? An Interpretable Supervised Machine Learning Approach," Journal of Financial Services Research, Springer;Western Finance Association, vol. 66(1), pages 77-99, August.
    59. Ajit Desai, 2023. "Machine learning for economics research: when, what and how," Staff Analytical Notes 2023-16, Bank of Canada.
    60. 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.
    61. Dinarte, Lelys & Egaña del Sol, Pablo & Martínez, Claudia & Rojas Alvarado, Cindy Jacqueline, 2024. "When Emotion Regulation Matters: The Efficacy of Socio-Emotional Learning to Address School-Based Violence in Central America," IDB Publications (Working Papers) 13448, Inter-American Development Bank.
    62. 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.
    63. Arthur Charpentier & Emmanuel Flachaire & Ewen Gallic, 2023. "Optimal Transport for Counterfactual Estimation: A Method for Causal Inference," Papers 2301.07755, arXiv.org.
    64. 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.
    65. Michela Carlana & Eliana La Ferrara & Paolo Pinotti, 2022. "Goals and Gaps: Educational Careers of Immigrant Children," Econometrica, Econometric Society, vol. 90(1), pages 1-29, January.
    66. Evan D. Peet & Dana Schultz & Susan Lovejoy & Fuchiang (Rich) Tsui, 2024. "The infant health effects of doulas: Leveraging big data and machine learning to inform cost‐effective targeting," Health Economics, John Wiley & Sons, Ltd., vol. 33(6), pages 1387-1411, June.
    67. M. Kate Bundorf & Maria Polyakova & Ming Tai-Seale, 2019. "How do Humans Interact with Algorithms? Experimental Evidence from Health Insurance," NBER Working Papers 25976, National Bureau of Economic Research, Inc.
    68. 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.
    69. Aur'elien Sallin, 2021. "Estimating returns to special education: combining machine learning and text analysis to address confounding," Papers 2110.08807, arXiv.org, revised Feb 2022.
    70. 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.
    71. Doleac, Jennifer & Eckhouse, Laurel & Foster-Moore, Eric & Harris, Allison & Walker, Hannah & White, Ariel, 2022. "Registering Returning Citizens to Vote," IZA Discussion Papers 15121, Institute of Labor Economics (IZA).
    72. 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).
    73. Dinarte Diaz, Lelys & Egana-delSol, Pablo & Martínez A., Claudia & Rojas A., Cindy, 2024. "When Emotion Regulation Matters: The Efficacy of Socio-Emotional Learning to Address School-Based Violence in Central America," IZA Discussion Papers 16831, Institute of Labor Economics (IZA).
    74. Eoghan O'Neill & Melvyn Weeks, 2018. "Causal Tree Estimation of Heterogeneous Household Response to Time-Of-Use Electricity Pricing Schemes," Papers 1810.09179, arXiv.org, revised Oct 2019.

  4. Vicky Gu & Jonathan Davis & Ray Cao & John Vogt, 2017. "The effect of externalities on adoption of social customer relationship management (SCRM)," International Journal of Quality Innovation, Springer, vol. 3(1), pages 1-15, December.

    Cited by:

    1. Al-Omoush, Khaled Saleh & Simón-Moya, Virginia & Al-ma'aitah, Mohammad Atwah & Sendra-García, Javier, 2021. "The determinants of social CRM entrepreneurship: An institutional perspective," Journal of Business Research, Elsevier, vol. 132(C), pages 21-31.

  5. Lisa Barrow & Jonathan Davis, 2012. "The upside of down: postsecondary enrollment in the Great Recession," Economic Perspectives, Federal Reserve Bank of Chicago, vol. 36(Q IV), pages 117-129.

    Cited by:

    1. Minaya, Veronica & Moore, Brendan & Scott-Clayton, Judith, 2023. "The effect of job displacement on public college enrollment: Evidence from Ohio," Economics of Education Review, Elsevier, vol. 92(C).
    2. Veronica Minaya & Brendan Moore & Judith Scott-Clayton, 2020. "The Effect of Job Displacement on College Enrollment: Evidence from Ohio," NBER Working Papers 27694, National Bureau of Economic Research, Inc.
    3. Phillip B. Levine & Jennifer Ma & Lauren C. Russell, 2023. "Do College Applicants Respond to Changes in Sticker Prices Even When They Don't Matter?," Education Finance and Policy, MIT Press, vol. 18(3), pages 365-394, Summer.
    4. Canyon Bosler & Mary C. Daly & John G. Fernald & Bart Hobijn, 2016. "The Outlook for U.S. Labor-Quality Growth," NBER Working Papers 22555, National Bureau of Economic Research, Inc.
    5. Kam C. Chan & Samuel Chang & Jean C. Snavely, 2022. "Effects of financial literacy on graduate school attitudes amidst COVID‐19," Managerial and Decision Economics, John Wiley & Sons, Ltd., vol. 43(6), pages 2003-2015, September.
    6. Elizabeth B. Clelan & Michael S. Kofoed, 2017. "The Effect Of The Business Cycle On Freshman Financial Aid," Contemporary Economic Policy, Western Economic Association International, vol. 35(2), pages 253-268, April.
    7. Stratton, Leslie S., 2017. "Housing Prices, Unemployment Rates, Disadvantage, and Progress toward a Degree," IZA Discussion Papers 10941, Institute of Labor Economics (IZA).
    8. Bruce D. Meyer & Wallace K. C. Mok & James X. Sullivan, 2015. "Household Surveys in Crisis," Journal of Economic Perspectives, American Economic Association, vol. 29(4), pages 199-226, Fall.
    9. David, Sandberg, 2024. "The Effect of Military Base Closures on Young Adults," Working Papers 2024:9, Lund University, Department of Economics.
    10. Andrew Foote & Michel Grosz, 2020. "The Effect of Local Labor Market Downturns on Postsecondary Enrollment and Program Choice," Education Finance and Policy, MIT Press, vol. 15(4), pages 593-622, Fall.

  6. Daniel Aaronson & Jonathan Davis & Luojia Hu, 2012. "Explaining the decline in the U.S. labor force participation rate," Chicago Fed Letter, Federal Reserve Bank of Chicago, issue Mar.

    Cited by:

    1. Marianna Kudlyak, 2013. "A Cohort Model of Labor Force Participation," Economic Quarterly, Federal Reserve Bank of Richmond, issue 1Q, pages 25-43.
    2. Idriss Fontaine, 2021. "Uncertainty and Labour Force Participation," Oxford Bulletin of Economics and Statistics, Department of Economics, University of Oxford, vol. 83(2), pages 437-471, April.
    3. Marta De Philippis, 2017. "The dynamics of the Italian labour force participation rate: determinants and implications for the employment and unemployment rate," Questioni di Economia e Finanza (Occasional Papers) 396, Bank of Italy, Economic Research and International Relations Area.
    4. James B. Bullard, 2014. "The rise and fall of labor force participation in the U.S," Speech 227, Federal Reserve Bank of St. Louis.
    5. Benjamin Pugsley & Aysegul Sahin & Fatih Karahan, 2015. "Understanding the 30 year Decline in Business Dynamism: a General Equilibrium Approach," 2015 Meeting Papers 1333, Society for Economic Dynamics.
    6. Michelle L. Barnes & Fabia Gumbau-Brisa & Giovanni P. Olivei, 2013. "Cyclical versus secular: decomposing the recent decline in U.S. labor force participation," Public Policy Brief, Federal Reserve Bank of Boston.
    7. Regis Barnichon & Andrew Figura, 2015. "Declining Desire to Work and Downward Trends in Unemployment and Participation," NBER Working Papers 21252, National Bureau of Economic Research, Inc.
    8. Stephanie Aaronson & Tomaz Cajner & Bruce Fallick & Felix Galbis-Reig & Christopher Smith & William Wascher, 2014. "Labor Force Participation: Recent Developments and Future Prospects," Brookings Papers on Economic Activity, Economic Studies Program, The Brookings Institution, vol. 45(2 (Fall)), pages 197-275.
    9. Edward P. Lazear & James R. Spletzer, 2012. "The United States Labor Market: Status Quo or A New Normal?," Working Papers 12-28, Center for Economic Studies, U.S. Census Bureau.
    10. Regis Barnichon & Andrew Figura, 2015. "Labor Market Heterogeneity and the Aggregate Matching Function," American Economic Journal: Macroeconomics, American Economic Association, vol. 7(4), pages 222-249, October.
    11. Julie L. Hotchkiss, 2014. "Adjusted Employment-to-Population Ratio as an Indicator of Labor Market Strength," FRB Atlanta Working Paper 2014-8, Federal Reserve Bank of Atlanta.
    12. Francesco Nucci & Marianna Riggi, 2015. "Labour force participation, wage rigidities, and inflation," DSS Empirical Economics and Econometrics Working Papers Series 2015/1, Centre for Empirical Economics and Econometrics, Department of Statistics, "Sapienza" University of Rome.
    13. Francisco Perez‐Arce & María J. Prados, 2021. "The Decline In The U.S. Labor Force Participation Rate: A Literature Review," Journal of Economic Surveys, Wiley Blackwell, vol. 35(2), pages 615-652, April.
    14. Christopher J. Erceg & Andrew T. Levin, 2014. "Labor Force Participation and Monetary Policy in the Wake of the Great Recession," Journal of Money, Credit and Banking, Blackwell Publishing, vol. 46(S2), pages 3-49, October.
    15. Matteo G Richiardi & Brian Nolan & Lane Kenworthy, 2020. "What happened to the ‘Great American Jobs Machine’?," International Journal of Microsimulation, International Microsimulation Association, vol. 13(1), pages 19-51.
    16. Albuquerque, Bruno & Baumann, Ursel, 2017. "Will US inflation awake from the dead? The role of slack and non-linearities in the Phillips curve," Journal of Policy Modeling, Elsevier, vol. 39(2), pages 247-271.
    17. Ross Richardson & Lia Pacelli & Ambra Poggi & Matteo G. Richiardi, 2016. "Female labour force projections using microsimulation for six EU countries," LABORatorio R. Revelli Working Papers Series 148, LABORatorio R. Revelli, Centre for Employment Studies.
    18. David L. Reifschneider & William L. Wascher & David W. Wilcox, 2013. "Aggregate supply in the United States: recent developments and implications for the conduct of monetary policy," Finance and Economics Discussion Series 2013-77, Board of Governors of the Federal Reserve System (U.S.).
    19. Katharine G. Abraham & Melissa S. Kearney, 2018. "Explaining the Decline in the U.S. Employment-to-Population Ratio: a Review of the Evidence," NBER Working Papers 24333, National Bureau of Economic Research, Inc.
    20. Julie L. Hotchkiss, 2014. "Adjusted EPOP as an Indicator of Labor Market Strength," Research in Applied Economics, Macrothink Institute, vol. 6(3), pages 253-270, September.
    21. Mark E. Schweitzer & Murat Tasci, 2013. "What constitutes substantial employment gains in today’s labor market?," Economic Commentary, Federal Reserve Bank of Cleveland, issue Jun.
    22. Regis Barnichon & Andrew Figura, 2013. "Declining Labor Force Attachment and Downward Trends in Unemployment and Participation," Working Papers 728, Barcelona School of Economics.
    23. James B. Bullard, 2014. "The rise and fall of labor force participation in the United States," Review, Federal Reserve Bank of St. Louis, vol. 96(1), pages 1-12.
    24. Julie L. Hotchkiss & M. Melinda Pitts & Fernando Rios-Avila, 2012. "A closer look at nonparticipants during and after the Great Recession," FRB Atlanta Working Paper 2012-10, Federal Reserve Bank of Atlanta.
    25. Shigeru Fujita, 2014. "On the causes of declines in the labor force participation rate," Research Rap Special Report, Federal Reserve Bank of Philadelphia, issue Feb.
    26. Leila Bengali & Mary C. Daly & Robert G. Valletta, 2013. "Will labor force participation bounce back?," FRBSF Economic Letter, Federal Reserve Bank of San Francisco, issue may13.
    27. Gayline Vuluku & James Gachanja, 2014. "Supply Side Aspects of Residential Housing for Low Income Earners in Kenya," Research in Applied Economics, Macrothink Institute, vol. 6(3), pages 271-286, September.
    28. William R. Cline & Jared Nolan, 2014. "Demographic versus Cyclical Influences on US Labor Force Participation," Working Paper Series WP14-4, Peterson Institute for International Economics.
    29. David G. Blanchflower & Andrew T. Levin, 2015. "Labor Market Slack and Monetary Policy," NBER Working Papers 21094, National Bureau of Economic Research, Inc.
    30. John C. Williams, 2012. "The economic outlook: global and domestic challenges to growth," Speech 105, Federal Reserve Bank of San Francisco.
    31. Robert Plant & Manuel S. Santos & Tarek Sayed, 2017. "Computerization, Composition of Employment, and Structure of Wages," Working Papers 2017-09, University of Miami, Department of Economics.
    32. Fernando Rios-Avila, 2015. "Losing Ground: Demographic Trends in US Labor Force Participation," Economics Policy Note Archive 15-7, Levy Economics Institute.

  7. Daniel Aaronson & Jonathan Davis, 2011. "How much has house lock affected labor mobility and the unemployment rate?," Chicago Fed Letter, Federal Reserve Bank of Chicago, issue Sep.

    Cited by:

    1. Serena Rhee & Fatih Karahan, 2015. "Population Aging, Migration Spillovers and the Decline in Interstate Migration," 2015 Meeting Papers 1177, Society for Economic Dynamics.
    2. Karahan, Fatih & Rhee, Serena, 2019. "Geographic reallocation and unemployment during the Great Recession: The role of the housing bust," Journal of Economic Dynamics and Control, Elsevier, vol. 100(C), pages 47-69.
    3. Bricker, Jesse & Bucks, Brian, 2016. "Negative home equity, economic insecurity, and household mobility over the Great Recession," Journal of Urban Economics, Elsevier, vol. 91(C), pages 1-12.
    4. Jennifer Brown & David A. Matsa, 2016. "Locked in by Leverage: Job Search during the Housing Crisis," NBER Working Papers 22929, National Bureau of Economic Research, Inc.
    5. Alice Henriques Volz, 2013. "Are homeowners in denial about their house values? comparing owner perceptions with transaction-based indexes," Finance and Economics Discussion Series 2013-79, Board of Governors of the Federal Reserve System (U.S.).
    6. Siddharth Kothari & Itay Saporta Eksten & Edison Yu, 2013. "The (Un)importance of Geographical Mobility in the Great Recession"," Review of Economic Dynamics, Elsevier for the Society for Economic Dynamics, vol. 16(3), pages 553-563, July.
    7. Robert G. Valletta, 2010. "House Lock and Structural Unemployment," Working Paper Series 2012-25, Federal Reserve Bank of San Francisco.
    8. Jesse Bricker & Brian Bucks, 2013. "Household mobility over the Great Recession: evidence from the U.S. 2007-09 Survey of Consumer Finances panel," Finance and Economics Discussion Series 2013-53, Board of Governors of the Federal Reserve System (U.S.).
    9. Julia Dennett & Alicia Sasser Modestino, 2012. "Are American homeowners locked into their houses?: the impact of housing market conditions on state-to-state migration," Working Papers 12-1, Federal Reserve Bank of Boston.
    10. Christopher F. Goetz, 2013. "Falling House Prices And Labor Mobility: Evidence From Matched Employer-Employee Data," Working Papers 13-43, Center for Economic Studies, U.S. Census Bureau.
    11. Fernando Ferreira & Joseph Gyourko & Joseph Tracy, 2012. "Housing busts and household mobility: an update," Economic Policy Review, Federal Reserve Bank of New York, vol. 18(Nov), pages 1-15.
    12. Jun Nie & Ethan Struby, 2011. "Would active labor market policies help combat high U.S. unemployment?," Economic Review, Federal Reserve Bank of Kansas City, vol. 96(Q III), pages 35-69.
    13. Derek Messacar, 2022. "Community attachment, job loss and regional labour mobility in Canada: Evidence from the Great Recession," Canadian Journal of Economics/Revue canadienne d'économique, John Wiley & Sons, vol. 55(3), pages 1404-1430, August.
    14. Henry S. Farber, 2012. "Unemployment in the Great Recession: Did the Housing Market Crisis Prevent the Unemployed from Moving to Take Jobs?," American Economic Review, American Economic Association, vol. 102(3), pages 520-525, May.
    15. Sam Schulhofer-Wohl, 2012. "Negative equity does not reduce homeowners’ mobility," Quarterly Review, Federal Reserve Bank of Minneapolis, issue Feb, pages 1-17.
    16. Hugo Erken & Eric van Loon & Wouter Verbeek, 2015. "Mismatch on the Dutch labour market in the Great Recession," CPB Discussion Paper 303, CPB Netherlands Bureau for Economic Policy Analysis.
    17. Louis Pantuosco & Laura Ullrich, 2014. "Factors of Immobility: Why the Unemployment Rate is Slow to Adjust," International Advances in Economic Research, Springer;International Atlantic Economic Society, vol. 20(3), pages 325-337, August.

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