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Revisiting the analysis of matched‐pair and stratified experiments in the presence of attrition

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  • Yuehao Bai
  • Meng Hsuan Hsieh
  • Jizhou Liu
  • Max Tabord‐Meehan

Abstract

In this paper, we revisit some common recommendations regarding the analysis of matched‐pair and stratified experimental designs in the presence of attrition. Our main objective is to clarify a number of well‐known claims about the practice of dropping pairs with an attrited unit when analyzing matched‐pair designs. Contradictory advice appears in the literature about whether or not dropping pairs is beneficial or harmful, and stratifying into larger groups has been recommended as a resolution to the issue. To address these claims, we derive the estimands obtained from the difference‐in‐means estimator in a matched‐pair design both when the observations from pairs with an attrited unit are retained and when they are dropped. We find limited evidence to support the claims that dropping pairs helps recover the average treatment effect, but we find that it may potentially help in recovering a convex‐weighted average of conditional average treatment effects. We report similar findings for stratified designs when studying the estimands obtained from a regression of outcomes on treatment with and without strata fixed effects.

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  • Yuehao Bai & Meng Hsuan Hsieh & Jizhou Liu & Max Tabord‐Meehan, 2024. "Revisiting the analysis of matched‐pair and stratified experiments in the presence of attrition," Journal of Applied Econometrics, John Wiley & Sons, Ltd., vol. 39(2), pages 256-268, March.
  • Handle: RePEc:wly:japmet:v:39:y:2024:i:2:p:256-268
    DOI: 10.1002/jae.3025
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    1. Jonas Hjort & Diana Moreira & Gautam Rao & Juan Francisco Santini, 2021. "How Research Affects Policy: Experimental Evidence from 2,150 Brazilian Municipalities," American Economic Review, American Economic Association, vol. 111(5), pages 1442-1480, May.
    2. Michael Carter & Rachid Laajaj & Dean Yang, 2021. "Subsidies and the African Green Revolution: Direct Effects and Social Network Spillovers of Randomized Input Subsidies in Mozambique," American Economic Journal: Applied Economics, American Economic Association, vol. 13(2), pages 206-229, April.
    3. Federico A. Bugni & Ivan A. Canay & Azeem M. Shaikh, 2018. "Inference Under Covariate-Adaptive Randomization," Journal of the American Statistical Association, Taylor & Francis Journals, vol. 113(524), pages 1784-1796, October.
    4. Robert Moffitt & John Fitzgerald & Peter Gottschalk, 1999. "Sample Attrition in Panel Data: The Role of Selection on Observables," Annals of Economics and Statistics, GENES, issue 55-56, pages 129-152.
    5. Luc Behaghel & Bruno Crépon & Marc Gurgand & Thomas Le Barbanchon, 2015. "Please Call Again: Correcting Nonresponse Bias in Treatment Effect Models," The Review of Economics and Statistics, MIT Press, vol. 97(5), pages 1070-1080, December.
    6. Orazio Attanasio & Sarah Cattan & Emla Fitzsimons & Costas Meghir & Marta Rubio-Codina, 2020. "Estimating the Production Function for Human Capital: Results from a Randomized Controlled Trial in Colombia," American Economic Review, American Economic Association, vol. 110(1), pages 48-85, January.
    7. Mauricio Romero & Justin Sandefur & Wayne Aaron Sandholtz, 2020. "Outsourcing Education: Experimental Evidence from Liberia," American Economic Review, American Economic Association, vol. 110(2), pages 364-400, February.
    8. Yuehao Bai & Joseph P. Romano & Azeem M. Shaikh, 2022. "Inference in Experiments With Matched Pairs," Journal of the American Statistical Association, Taylor & Francis Journals, vol. 117(540), pages 1726-1737, October.
    9. Callen, Michael & Gulzar, Saad & Hasanain, Ali & Khan, Muhammad Yasir & Rezaee, Arman, 2020. "Data and policy decisions: Experimental evidence from Pakistan," Journal of Development Economics, Elsevier, vol. 146(C).
    10. David S. Lee, 2009. "Training, Wages, and Sample Selection: Estimating Sharp Bounds on Treatment Effects," The Review of Economic Studies, Review of Economic Studies Ltd, vol. 76(3), pages 1071-1102.
    11. Diva Dhar & Tarun Jain & Seema Jayachandran, 2022. "Reshaping Adolescents' Gender Attitudes: Evidence from a School-Based Experiment in India," American Economic Review, American Economic Association, vol. 112(3), pages 899-927, March.
    12. Esther Duflo & Pascaline Dupas & Michael Kremer, 2015. "Education, HIV, and Early Fertility: Experimental Evidence from Kenya," American Economic Review, American Economic Association, vol. 105(9), pages 2757-2797, September.
    13. Miriam Bruhn & David McKenzie, 2009. "In Pursuit of Balance: Randomization in Practice in Development Field Experiments," American Economic Journal: Applied Economics, American Economic Association, vol. 1(4), pages 200-232, October.
    14. Jeffrey M. Wooldridge, 2002. "Inverse probability weighted M-estimators for sample selection, attrition, and stratification," Portuguese Economic Journal, Springer;Instituto Superior de Economia e Gestao, vol. 1(2), pages 117-139, August.
    15. Bruno Crépon & Florencia Devoto & Esther Duflo & William Parienté, 2015. "Estimating the Impact of Microcredit on Those Who Take It Up: Evidence from a Randomized Experiment in Morocco," American Economic Journal: Applied Economics, American Economic Association, vol. 7(1), pages 123-150, January.
    16. Groh, Matthew & McKenzie, David, 2016. "Macroinsurance for microenterprises: A randomized experiment in post-revolution Egypt," Journal of Development Economics, Elsevier, vol. 118(C), pages 13-25.
    17. Keisuke Hirano & Guido W. Imbens & Geert Ridder & Donald B. Rubin, 2001. "Combining Panel Data Sets with Attrition and Refreshment Samples," Econometrica, Econometric Society, vol. 69(6), pages 1645-1659, November.
    18. Heckman, James, 2013. "Sample selection bias as a specification error," Applied Econometrics, Russian Presidential Academy of National Economy and Public Administration (RANEPA), vol. 31(3), pages 129-137.
    19. Miriam Bruhn & Luciana de Souza Leão & Arianna Legovini & Rogelio Marchetti & Bilal Zia, 2016. "The Impact of High School Financial Education: Evidence from a Large-Scale Evaluation in Brazil," American Economic Journal: Applied Economics, American Economic Association, vol. 8(4), pages 256-295, October.
    20. Rachel Glennerster & Kudzai Takavarasha, 2013. "Running Randomized Evaluations: A Practical Guide," Economics Books, Princeton University Press, edition 1, number 10085.
    21. Suresh de Mel & David McKenzie & Christopher Woodruff, 2019. "Labor Drops: Experimental Evidence on the Return to Additional Labor in Microenterprises," American Economic Journal: Applied Economics, American Economic Association, vol. 11(1), pages 202-235, January.
    22. Yuehao Bai, 2022. "Optimality of Matched-Pair Designs in Randomized Controlled Trials," American Economic Review, American Economic Association, vol. 112(12), pages 3911-3940, December.
    23. Callen, Michael, 2020. "Data and policy decisions: Experimental evidence from Pakistan," CEPR Discussion Papers 15169, C.E.P.R. Discussion Papers.
    24. Lorenzo Casaburi & Tristan Reed, 2022. "Using Individual-Level Randomized Treatment to Learn about Market Structure," American Economic Journal: Applied Economics, American Economic Association, vol. 14(4), pages 58-90, October.
    25. Girum Abebe & A. Stefano Caria & Esteban Ortiz-Ospina, 2021. "The Selection of Talent: Experimental and Structural Evidence from Ethiopia," American Economic Review, American Economic Association, vol. 111(6), pages 1757-1806, June.
    26. Yuehao Bai, 2022. "Optimality of Matched-Pair Designs in Randomized Controlled Trials," Papers 2206.07845, arXiv.org.
    27. Joshua Angrist & Victor Lavy, 2009. "The Effects of High Stakes High School Achievement Awards: Evidence from a Randomized Trial," American Economic Review, American Economic Association, vol. 99(4), pages 1384-1414, September.
    28. repec:adr:anecst:y:1999:i:55-56:p:05 is not listed on IDEAS
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