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ExtrapoLATE-ing: External Validity and Overidentification in the LATE Framework

Citations

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Cited by:

  1. Bo, Hao & Galiani, Sebastian, 2021. "Assessing external validity," Research in Economics, Elsevier, vol. 75(3), pages 274-285.
  2. Rajeev Dehejia & Cristian Pop-Eleches & Cyrus Samii, 2021. "From Local to Global: External Validity in a Fertility Natural Experiment," Journal of Business & Economic Statistics, Taylor & Francis Journals, vol. 39(1), pages 217-243, January.
  3. Martin Huber, 2019. "An introduction to flexible methods for policy evaluation," Papers 1910.00641, arXiv.org.
  4. Han, Sukjin & Yang, Shenshen, 2024. "A computational approach to identification of treatment effects for policy evaluation," Journal of Econometrics, Elsevier, vol. 240(1).
  5. de Luna Xavier & Johansson Per, 2014. "Testing for the Unconfoundedness Assumption Using an Instrumental Assumption," Journal of Causal Inference, De Gruyter, vol. 2(2), pages 187-199, September.
  6. Sascha O. Becker & Peter H. Egger & Maximilian von Ehrlich, 2013. "Absorptive Capacity and the Growth and Investment Effects of Regional Transfers: A Regression Discontinuity Design with Heterogeneous Treatment Effects," American Economic Journal: Economic Policy, American Economic Association, vol. 5(4), pages 29-77, November.
  7. Joshua Angrist & Miikka Rokkanen, 2012. "Wanna Get Away? RD Identification Away from the Cutoff," NBER Working Papers 18662, National Bureau of Economic Research, Inc.
  8. Lina Zhang & David T. Frazier & Don S. Poskitt & Xueyan Zhao, 2020. "Decomposing Identification Gains and Evaluating Instrument Identification Power for Partially Identified Average Treatment Effects," Monash Econometrics and Business Statistics Working Papers 34/20, Monash University, Department of Econometrics and Business Statistics.
  9. Daniel Aaronson & Rajeev Dehejia & Andrew Jordan & Cristian Pop-Eleches & Cyrus Samii & Karl Schulze, 2021. "The Effect of Fertility on Mothers’ Labor Supply over the Last Two Centuries [Semiparametric instrumental variables estimation of treatment response models]," The Economic Journal, Royal Economic Society, vol. 131(633), pages 1-32.
  10. Wunsch, Conny & Strobl, Renate, 2018. "Identification of causal mechanisms based on between-subject double randomization designs," CEPR Discussion Papers 13028, C.E.P.R. Discussion Papers.
  11. Dionissi Aliprantis, 2013. "Covariates and causal effects: the problem of context," Working Papers (Old Series) 1310, Federal Reserve Bank of Cleveland.
  12. 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.
  13. 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.
  14. de Luna, Xavier & Johansson, Per, 2012. "Testing for Nonparametric Identification of Causal Effects in the Presence of a Quasi-Instrument," IZA Discussion Papers 6692, Institute of Labor Economics (IZA).
  15. Lant Pritchett & Salimah Samji & Jeffrey Hammer, 2012. "It’s All About MeE: Using Structured Experiential Learning (‘e’) to Crawl the Design Space," CID Working Papers 249, Center for International Development at Harvard University.
  16. Yuta Ota & Takahiro Hoshino & Taisuke Otsu, 2024. "Causal Inference With Auxiliary Observations," Keio-IES Discussion Paper Series 2024-022, Institute for Economics Studies, Keio University.
  17. Ethan Kaplan & Fernando Saltiel & Sergio Urzúa, 2023. "Voting for Democracy: Chile's Plebiscito and the Electoral Participation of a Generation," American Economic Journal: Economic Policy, American Economic Association, vol. 15(3), pages 438-464, August.
  18. Meager, Rachael, 2022. "Aggregating distributional treatment effects: a Bayesian hierarchical analysis of the microcredit literature," LSE Research Online Documents on Economics 115559, London School of Economics and Political Science, LSE Library.
  19. Markus Frölich & Blaise Melly, 2013. "Identification of Treatment Effects on the Treated with One-Sided Non-Compliance," Econometric Reviews, Taylor & Francis Journals, vol. 32(3), pages 384-414, November.
  20. Meager, Rachael & Sturdy, Jennifer, 2017. "Aggregating Distributional Treatment Effects: A Bayesian Hierarchical Analysis of the Microcredit Literature," MetaArXiv 7tkvm, Center for Open Science.
  21. Christian N. Brinch & Magne Mogstad & Matthew Wiswall, 2017. "Beyond LATE with a Discrete Instrument," Journal of Political Economy, University of Chicago Press, vol. 125(4), pages 985-1039.
  22. Chen, Xuan & Flores, Carlos A. & Flores-Lagunes, Alfonso, 2015. "Going Beyond LATE: Bounding Average Treatment Effects of Job Corps Training," IZA Discussion Papers 9511, Institute of Labor Economics (IZA).
  23. Peter Hull, 2018. "Estimating Treatment Effects in Mover Designs," Papers 1804.06721, arXiv.org.
  24. James Bisbee & Rajeev Dehejia & Cristian Pop-Eleches & Cyrus Samii, 2017. "Local Instruments, Global Extrapolation: External Validity of the Labor Supply-Fertility Local Average Treatment Effect," Journal of Labor Economics, University of Chicago Press, vol. 35(S1), pages 99-147.
  25. Belchior, Carlos Alberto & Gonzaga, Gustavo & Ulyssea, Gabriel, 2023. "Unpacking Neighborhood Effects: Experimental Evidence from a Large-Scale Housing Program in Brazil," IZA Discussion Papers 16113, Institute of Labor Economics (IZA).
  26. Lant Pritchett & Salimah Samji & Jeffrey Hammer, 2012. "It’s All About MeE: Using Structured Experiential Learning (‘e’) to Crawl the Design Space," CID Working Papers 249, Center for International Development at Harvard University.
  27. Williams, Martin J., 2020. "Beyond ‘context matters’: Context and external validity in impact evaluation," World Development, Elsevier, vol. 127(C).
  28. Beatrice Baaba Tawiah, 2023. "The Effect of Children on Health," Working Papers Dissertations 103, Paderborn University, Faculty of Business Administration and Economics.
  29. Sara Cools & Jon H. Fiva & Lars J. Kirkebøen, 2015. "Causal Effects of Paternity Leave on Children and Parents," Scandinavian Journal of Economics, Wiley Blackwell, vol. 117(3), pages 801-828, July.
  30. Ning Xu & Jian Hong & Timothy C. G. Fisher, 2016. "Generalization error minimization: a new approach to model evaluation and selection with an application to penalized regression," Papers 1610.05448, arXiv.org.
  31. Hunt Allcott, 2012. "Site Selection Bias in Program Evaluation," NBER Working Papers 18373, National Bureau of Economic Research, Inc.
  32. Sara Cools & Simen Markussen & Marte Strøm, 2017. "Children and Careers: How Family Size Affects Parents’ Labor Market Outcomes in the Long Run," Demography, Springer;Population Association of America (PAA), vol. 54(5), pages 1773-1793, October.
  33. Woolcock, Michael, 2013. "Using Case Studies to Explore the External Validity of 'Complex' Development Interventions," Working Paper Series rwp13-048, Harvard University, John F. Kennedy School of Government.
  34. Fujiwara, Daniel, 2013. "A general method for valuing non-market goods using wellbeing data: three-stage wellbeing valuation," LSE Research Online Documents on Economics 51577, London School of Economics and Political Science, LSE Library.
  35. Susan Athey & Guido W. Imbens, 2017. "The State of Applied Econometrics: Causality and Policy Evaluation," Journal of Economic Perspectives, American Economic Association, vol. 31(2), pages 3-32, Spring.
  36. Brutscher, P-B., 2012. "Making Sense of Oil Stamp Saving Schemes," Cambridge Working Papers in Economics 1203, Faculty of Economics, University of Cambridge.
  37. Daniel Fujiwara, 2013. "A General Method for Valuing Non-Market Goods Using Wellbeing Data: Three-Stage Wellbeing Valuation," CEP Discussion Papers dp1233, Centre for Economic Performance, LSE.
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