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Does Regression Produce Representative Estimates of Causal Effects?

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Cited by:

  1. Victor Gay & Daniel L. Hicks & Estefania Santacreu-Vasut & Amir Shoham, 2018. "Decomposing culture: an analysis of gender, language, and labor supply in the household," Review of Economics of the Household, Springer, vol. 16(4), pages 879-909, December.
  2. Victor Gay, 2023. "Culture: An Empirical Investigation of Beliefs, Work, and Fertility. A Verification and Reproduction of Fernández and Fogli (2009)," Post-Print hal-04194417, HAL.
  3. Alberto Abadie & Susan Athey & Guido W. Imbens & Jeffrey M. Wooldridge, 2020. "Sampling‐Based versus Design‐Based Uncertainty in Regression Analysis," Econometrica, Econometric Society, vol. 88(1), pages 265-296, January.
  4. Daniel Auer & Johannes S. Kunz, 2021. "Communication Barriers and Infant Health: Intergenerational Effects of Randomly Allocating Refugees Across Language Regions," SoDa Laboratories Working Paper Series 2021-07, Monash University, SoDa Laboratories.
  5. Tymon S{l}oczy'nski, 2018. "Interpreting OLS Estimands When Treatment Effects Are Heterogeneous: Smaller Groups Get Larger Weights," Papers 1810.01576, arXiv.org, revised May 2020.
  6. Tellez,Juan Fernando & Balcells,Laia, 2022. "Social Cohesion, Economic Security, and Forced Displacement in the Long-Run : Evidence from Rural Colombia," Policy Research Working Paper Series 10019, The World Bank.
  7. Tymon Sloczynski, 2018. "A General Weighted Average Representation of the Ordinary and Two-Stage Least Squares Estimands," Working Papers 125, Brandeis University, Department of Economics and International Business School.
  8. Tymon S{l}oczy'nski, 2020. "When Should We (Not) Interpret Linear IV Estimands as LATE?," Papers 2011.06695, arXiv.org, revised Oct 2024.
  9. Ding, Peng, 2021. "The Frisch–Waugh–Lovell theorem for standard errors," Statistics & Probability Letters, Elsevier, vol. 168(C).
  10. Kirk Bansak, 2021. "Estimating causal moderation effects with randomized treatments and non‐randomized moderators," Journal of the Royal Statistical Society Series A, Royal Statistical Society, vol. 184(1), pages 65-86, January.
  11. Tymon Słoczyński, 2022. "Interpreting OLS Estimands When Treatment Effects Are Heterogeneous: Smaller Groups Get Larger Weights," The Review of Economics and Statistics, MIT Press, vol. 104(3), pages 501-509, May.
  12. Athey, Susan & Imbens, Guido W., 2022. "Design-based analysis in Difference-In-Differences settings with staggered adoption," Journal of Econometrics, Elsevier, vol. 226(1), pages 62-79.
  13. Alberto Abadie & Susan Athey & Guido W. Imbens & Jeffrey M. Wooldridge, 2017. "Sampling-based vs. Design-based Uncertainty in Regression Analysis," Papers 1706.01778, arXiv.org, revised Jun 2019.
  14. Peng Ding, 2020. "The Frisch--Waugh--Lovell Theorem for Standard Errors," Papers 2009.06621, arXiv.org.
  15. Asongu, Simplice & Nnanna, Joseph & Tchamyou, Vanessa, 2020. "Finance, Institutions and Private Investment in Africa," MPRA Paper 107498, University Library of Munich, Germany.
  16. Egerod, Benjamin C. K., 2019. "The Revolving Door and Regulatory Enforcement: Firm-Level Evidence on Tax Rates and IRS Audits," Working Papers 289, The University of Chicago Booth School of Business, George J. Stigler Center for the Study of the Economy and the State.
  17. Daniel Masterson & M. Christian Lehmann, 2020. "Refugees, Mobilization, and Humanitarian Aid: Evidence from the Syrian Refugee Crisis in Lebanon," Journal of Conflict Resolution, Peace Science Society (International), vol. 64(5), pages 817-843, May.
  18. Gay, Victor & Boehnke, Jörn, 2017. "The Missing Men: World War I and Female Labor Participation," MPRA Paper 77560, University Library of Munich, Germany.
  19. Huntington-Klein Nick, 2020. "Instruments with Heterogeneous Effects: Bias, Monotonicity, and Localness," Journal of Causal Inference, De Gruyter, vol. 8(1), pages 182-208, January.
  20. Perry Singleton, 2021. "Behavioral Bias in Occupational Fatality Risk: Theory, Evidence, and Implications," Center for Policy Research Working Papers 242, Center for Policy Research, Maxwell School, Syracuse University.
  21. Carolina Caetano & Brantly Callaway & Stroud Payne & Hugo Sant'Anna Rodrigues, 2022. "Difference in Differences with Time-Varying Covariates," Papers 2202.02903, arXiv.org, revised Jun 2024.
  22. Gay, Victor, 2023. "Culture: An Empirical Investigation of Beliefs, Work, and Fertility. A Verification and Reproduction of Fernández and Fogli (American Economic Journal: Macroeconomics, 2009)," Journal of Comments and Replications in Economics (JCRE), ZBW - Leibniz Information Centre for Economics, vol. 2, pages 1-15.
  23. Chad Hazlett & Tanvi Shinkre, 2024. "Demystifying and avoiding the OLS "weighting problem": Unmodeled heterogeneity and straightforward solutions," Papers 2403.03299, arXiv.org, revised Nov 2024.
  24. Nieyan Cheng & Wendong Zhang & Tao Xiong, 2022. "The Impact of China's Place-based Environmental Regulations on its Hog Industry: A Synthetic Difference-in-differences Approach," Center for Agricultural and Rural Development (CARD) Publications 21-wp619, Center for Agricultural and Rural Development (CARD) at Iowa State University.
  25. Stijn Vansteelandt & Oliver Dukes, 2022. "Assumption‐lean inference for generalised linear model parameters," Journal of the Royal Statistical Society Series B, Royal Statistical Society, vol. 84(3), pages 657-685, July.
  26. Momin M. Malik, 2020. "A Hierarchy of Limitations in Machine Learning," Papers 2002.05193, arXiv.org, revised Feb 2020.
  27. Honig, Dan & Lall, Ranjit & Parks, Bradley C., 2022. "When does transparency improve institutional performance? Evidence from 20,000 projects in 183 countries," LSE Research Online Documents on Economics 113847, London School of Economics and Political Science, LSE Library.
  28. Tymon Sloczynski, 2021. "When Should We (Not) Interpret Linear IV Estimands as LATE?," CESifo Working Paper Series 9064, CESifo.
  29. Michael C. Knaus, 2024. "Treatment Effect Estimators as Weighted Outcomes," Papers 2411.11559, arXiv.org, revised Dec 2024.
  30. Blair, Graeme & Cooper, Jasper & Coppock, Alexander & Humphreys, Macartan, 2019. "Declaring and Diagnosing Research Designs," EconStor Open Access Articles and Book Chapters, ZBW - Leibniz Information Centre for Economics, vol. 113(3), pages 838-859.
  31. Grier, Kevin B. & Grier, Robin M., 2021. "The Washington consensus works: Causal effects of reform, 1970-2015," Journal of Comparative Economics, Elsevier, vol. 49(1), pages 59-72.
  32. Lundberg, Ian & Brand, Jennie E. & Jeon, Nanum, 2022. "Researcher reasoning meets computational capacity: Machine learning for social science," SocArXiv s5zc8, Center for Open Science.
  33. Luca Bellodi & Massimo Morelli & Antonio Nicolò & Paolo Roberti, 2023. "The Shift to Commitment Politics and Populism:Theory and Evidence," BAFFI CAREFIN Working Papers 23204, BAFFI CAREFIN, Centre for Applied Research on International Markets Banking Finance and Regulation, Universita' Bocconi, Milano, Italy.
  34. Ashesh Rambachan & Neil Shephard, 2019. "When do common time series estimands have nonparametric causal meaning?," Papers 1903.01637, arXiv.org, revised Jan 2025.
  35. Myoung‐jae Lee, 2021. "Instrument residual estimator for any response variable with endogenous binary treatment," Journal of the Royal Statistical Society Series B, Royal Statistical Society, vol. 83(3), pages 612-635, July.
  36. Huntington-Klein Nick, 2020. "Instruments with Heterogeneous Effects: Bias, Monotonicity, and Localness," Journal of Causal Inference, De Gruyter, vol. 8(1), pages 182-208, January.
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