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Does Regression Produce Representative Estimates of Causal Effects?

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Cited by:

  1. Simplice A. Asongu & Joseph Nnanna & Vanessa S. Tchamyou, 2020. "Finance, Institutions and Private Investment in Africa," Working Papers of the African Governance and Development Institute. 20/080, African Governance and Development Institute..
  2. Lundberg, Ian & Brand, Jennie E. & Jeon, Nanum, 2022. "Researcher reasoning meets computational capacity: Machine learning for social science," SocArXiv s5zc8, Center for Open Science.
  3. Alexandre Poirier & Tymon S{l}oczy'nski, 2024. "Quantifying the Internal Validity of Weighted Estimands," Papers 2404.14603, arXiv.org, revised May 2025.
  4. 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.
  5. 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.
  6. Daniel Auer & Johannes S. Kunz, 2021. "Communication Barriers and Infant Health: Intergenerational Effects of Randomly Allocating Refugees Across Language Regions," Papers 2021-05, Centre for Health Economics, Monash University.
  7. 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.
  8. Peng Ding, 2020. "The Frisch--Waugh--Lovell Theorem for Standard Errors," Papers 2009.06621, arXiv.org.
  9. 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.
  10. 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.
  11. 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.
  12. 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.
  13. 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.
  14. Momin M. Malik, 2020. "A Hierarchy of Limitations in Machine Learning," Papers 2002.05193, arXiv.org, revised Feb 2020.
  15. 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.
  16. 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.
  17. Gay, Victor & Boehnke, Jörn, 2017. "The Missing Men: World War I and Female Labor Participation," MPRA Paper 77560, University Library of Munich, Germany.
  18. 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.
  19. 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.
  20. Tymon Sloczynski & Tymon Słoczyński, 2021. "When Should We (Not) Interpret Linear IV Estimands as LATE?," CESifo Working Paper Series 9064, CESifo.
  21. Sloczynski, Tymon, 2018. "A General Weighted Average Representation of the Ordinary and Two-Stage Least Squares Estimands," IZA Discussion Papers 11866, Institute of Labor Economics (IZA).
  22. 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.
  23. Abadie, Alberto & Athey, Susan & Imbens, Guido W. & Wooldridge, Jeffrey M., 2017. "Sampling-Based vs. Design-Based Uncertainty in Regression Analysis," Research Papers 3349, Stanford University, Graduate School of Business.
  24. 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.
  25. 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.
  26. Lucie Lu & Miles Williams, 2025. "Attention Versus Handshakes: Pathways of Influence in China's Foreign Aid and Loans," Journal of International Development, John Wiley & Sons, Ltd., vol. 37(3), pages 655-674, April.
  27. Ashesh Rambachan & Neil Shephard, 2019. "When do common time series estimands have nonparametric causal meaning?," Papers 1903.01637, arXiv.org, revised Jan 2025.
  28. 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.
  29. Michael C. Knaus, 2024. "Treatment Effect Estimators as Weighted Outcomes," Papers 2411.11559, arXiv.org, revised Dec 2024.
  30. Tymon S{l}oczy'nski, 2020. "When Should We (Not) Interpret Linear IV Estimands as LATE?," Papers 2011.06695, arXiv.org, revised Oct 2024.
  31. 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.
  32. Ding, Peng, 2021. "The Frisch–Waugh–Lovell theorem for standard errors," Statistics & Probability Letters, Elsevier, vol. 168(C).
  33. 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.
  34. 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.
  35. 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.
  36. Cachanosky, Nicolas & Bastos, João Pedro & Padilla, Alexandre & Hernández, Karla C., 2025. "The institutional impact of left-leaning populism in Latin America," European Journal of Political Economy, Elsevier, vol. 86(C).
  37. 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.
  38. 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.
  39. Tanvi Shinkre & Chad Hazlett, 2024. "Demystifying and avoiding the OLS "weighting problem": Unmodeled heterogeneity and straightforward solutions," Papers 2403.03299, arXiv.org, revised May 2025.
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