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Please Call Again: Correcting Nonresponse Bias in Treatment Effect Models

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Cited by:

  1. Teresa Molina Millán & Karen Macours, 2017. "Attrition in randomized control trials: Using tracking information to correct bias," FEUNL Working Paper Series novaf:wp1702, Universidade Nova de Lisboa, Faculdade de Economia.
  2. Davies, Elwyn & Deffebach, Peter & Iacovone, Leonardo & McKenzie, David, 2024. "Training microentrepreneurs over Zoom: Experimental evidence from Mexico," Journal of Development Economics, Elsevier, vol. 167(C).
  3. Vitor Possebom, 2019. "Sharp Bounds for the Marginal Treatment Effect with Sample Selection," Papers 1904.08522, arXiv.org.
  4. Albert Cheng & Gema Zamarro & Bart Orriens, 2020. "Personality as a Predictor of Unit Nonresponse in an Internet Panel," Sociological Methods & Research, , vol. 49(3), pages 672-698, August.
  5. Yuehao Bai & Meng Hsuan Hsieh & Jizhou Liu & Max Tabord-Meehan, 2022. "Revisiting the Analysis of Matched-Pair and Stratified Experiments in the Presence of Attrition," Papers 2209.11840, arXiv.org, revised Oct 2023.
  6. Ahmed Mushfiq Mobarak & Iffath Sharif & Maheshwor Shrestha, 2023. "Returns to International Migration: Evidence from a Bangladesh-Malaysia Visa Lottery," American Economic Journal: Applied Economics, American Economic Association, vol. 15(4), pages 353-388, October.
  7. Sonja C. Kassenboehmer & Stefanie Schurer, 2018. "Survey item-response behavior as an imperfect proxy for unobserved ability: Theory and application," Working Papers 2018-035, Human Capital and Economic Opportunity Working Group.
  8. Luc Behaghel & Karen Macours & Julie Subervie, 2018. "Can RCTs help improve the design of CAP," Working Papers hal-01974425, HAL.
  9. Luc Behaghel & Karen Macours & Julie Subervie, 2019. "How can randomised controlled trials help improve the design of the common agricultural policy?," European Review of Agricultural Economics, Oxford University Press and the European Agricultural and Applied Economics Publications Foundation, vol. 46(3), pages 473-493.
  10. Blimpo, Moussa P. & Pugatch, Todd, 2023. "Unintended Consequences of Youth Entrepreneurship Programs: Experimental Evidence from Rwanda," GLO Discussion Paper Series 1332, Global Labor Organization (GLO).
  11. TENIKUE Michel & TEQUAME Miron, 2018. "Economic and Health Impacts of the 2011 Post-Electoral Crisis in Côte d’Ivoire: Evidence from Microdata," LISER Working Paper Series 2018-03, Luxembourg Institute of Socio-Economic Research (LISER).
  12. Gazeaud, Jules & Khan, Nausheen & Mvukiyehe, Eric & Sterck, Olivier, 2023. "With or without him? Experimental evidence on cash grants and gender-sensitive trainings in Tunisia," Journal of Development Economics, Elsevier, vol. 165(C).
  13. Bernhardt, Robert & Wunnava, Phanindra V., 2020. "The CPS Citizenship Question and Survey Refusals: Causal and Semi-Causal Evidence Featuring a Two-Stage Regression Discontinuity Design," IZA Discussion Papers 13350, Institute of Labor Economics (IZA).
  14. Teresa Molina Millan & Karen Macours, 2017. "Attrition in randomized control trials: Using tracking information to correct bias," NOVAFRICA Working Paper Series wp1702, Universidade Nova de Lisboa, Nova School of Business and Economics, NOVAFRICA.
  15. Hans Fricke & Markus Frölich & Martin Huber & Michael Lechner, 2020. "Endogeneity and non‐response bias in treatment evaluation – nonparametric identification of causal effects by instruments," Journal of Applied Econometrics, John Wiley & Sons, Ltd., vol. 35(5), pages 481-504, August.
  16. Heng Chen & Geoffrey Dunbar & Q. Rallye Shen, 2020. "The Mode is the Message: Using Predata as Exclusion Restrictions to Evaluate Survey Design," Advances in Econometrics, in: Essays in Honor of Cheng Hsiao, volume 41, pages 341-357, Emerald Group Publishing Limited.
  17. Clément de Chaisemartin, 2017. "Tolerating defiance? Local average treatment effects without monotonicity," Quantitative Economics, Econometric Society, vol. 8(2), pages 367-396, July.
  18. Ori Heffetz & Matthew Rabin, 2013. "Conclusions Regarding Cross-Group Differences in Happiness Depend on Difficulty of Reaching Respondents," American Economic Review, American Economic Association, vol. 103(7), pages 3001-3021, December.
  19. McGovern, Mark E. & Canning, David & Bärnighausen, Till, 2018. "Accounting for non-response bias using participation incentives and survey design: An application using gift vouchers," Economics Letters, Elsevier, vol. 171(C), pages 239-244.
  20. David McKenzie, 2017. "Identifying and Spurring High-Growth Entrepreneurship: Experimental Evidence from a Business Plan Competition," American Economic Review, American Economic Association, vol. 107(8), pages 2278-2307, August.
  21. Ori Heffetz & Daniel B. Reeves, 2016. "Difficulty to Reach Respondents and Nonresponse Bias: Evidence from Large Government Surveys," NBER Working Papers 22333, National Bureau of Economic Research, Inc.
  22. Aramburu,Julian & Goicoechea,Ana & Mobarak,Ahmed Mushfiq, 2021. "Coding Bootcamps for Female Digital Employment : Evidence from an RCT in Argentina and Colombia," Policy Research Working Paper Series 9721, The World Bank.
  23. Mobarak, Ahmed Mushfiq & Sharif, Iffath & Shrestha, Maheshwor, 2021. "Returns to International Migration: Evidence from a Bangladesh-Malaysia Visa Lottery," IZA Discussion Papers 14232, Institute of Labor Economics (IZA).
  24. Dalton, Patricio & van Soest, Daan & Uras, Burak, 2024. "Electronic payment technology and business finance : A randomized, controlled trial with mobile money," Other publications TiSEM a85169a4-253e-40a5-b46a-7, Tilburg University, School of Economics and Management.
  25. Dalton, Patricio & Pamuk, H. & Ramrattan, R. & van Soest, Daan & Uras, Burak, 2019. "Transparency and Financial Inclusion : Experimental Evidence from Mobile Money (revision of CentER DP 2018-042)," Discussion Paper 2019-032, Tilburg University, Center for Economic Research.
  26. Xavier Cirera & Diego A. Comin & Marcio Cruz & Kyung Min Lee, 2020. "Anatomy of Technology in the Firm," NBER Working Papers 28080, National Bureau of Economic Research, Inc.
  27. Possebom, Vitor, 2018. "Sharp bounds on the MTE with sample selection," MPRA Paper 89785, University Library of Munich, Germany.
  28. Ro'ee Levy, 2021. "Social Media, News Consumption, and Polarization: Evidence from a Field Experiment," American Economic Review, American Economic Association, vol. 111(3), pages 831-870, March.
  29. Lovett, Nicholas & Xue, Yuhan, 2020. "Family first or the kindness of strangers? Foster care placements and adult outcomes," Labour Economics, Elsevier, vol. 65(C).
  30. Ghanem, Dalia & Hirshleifer, Sarojini & Kédagni, Désiré & Ortiz-Becerra, Karen, 2024. "Correcting attrition bias using changes-in-changes," Journal of Econometrics, Elsevier, vol. 241(2).
  31. de New, Sonja C. & Schurer, Stefanie & Leung, Felix, 2015. "Testing the Validity of Item Non-Response as a Proxy for Cognitive and Non-Cognitive Skills," IZA Discussion Papers 8874, Institute of Labor Economics (IZA).
  32. Mark McGovern & David Canning & Till Bärnighausen, 2018. "Accounting for Non-Response Bias using Participation Incentives and Survey Design," CHaRMS Working Papers 18-02, Centre for HeAlth Research at the Management School (CHaRMS).
  33. 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.
  34. L. Castell & P. Sillard, 2021. "Le traitement du biais de sélection endogène dans les enquêtes auprès des ménages par modèle de Heckman," Documents de Travail de l'Insee - INSEE Working Papers m2021-02, Institut National de la Statistique et des Etudes Economiques.
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