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Identification and Inference with Many Invalid Instruments

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Cited by:

  1. Joshua Angrist & Peter Hull & Parag A. Pathak & Christopher R. Walters, 2020. "Simple and Credible Value-Added Estimation Using Centralized School Assignment," NBER Working Papers 28241, National Bureau of Economic Research, Inc.
  2. Gyuhyeong Goh & Jisang Yu, 2022. "Causal inference with some invalid instrumental variables: A quasi‐Bayesian approach," Oxford Bulletin of Economics and Statistics, Department of Economics, University of Oxford, vol. 84(6), pages 1432-1451, December.
  3. Caner, Mehmet, 2014. "Near exogeneity and weak identification in generalized empirical likelihood estimators: Many moment asymptotics," Journal of Econometrics, Elsevier, vol. 182(2), pages 247-268.
  4. Nadine Riedel & Martin Simmler, 2021. "Large and influential: Firm size and governments’ corporate tax rate choice," Canadian Journal of Economics/Revue canadienne d'économique, John Wiley & Sons, vol. 54(2), pages 812-839, May.
  5. Nicolas Apfel, 2019. "Relaxing the Exclusion Restriction in Shift-Share Instrumental Variable Estimation," Papers 1907.00222, arXiv.org, revised Jul 2022.
  6. Antoine, Bertille & Dovonon, Prosper, 2021. "Robust estimation with exponentially tilted Hellinger distance," Journal of Econometrics, Elsevier, vol. 224(2), pages 330-344.
  7. Marcellino, Massimiliano & Kapetanios, George & Khalaf, Lynda, 2015. "Factor based identification-robust inference in IV regressions," CEPR Discussion Papers 10390, C.E.P.R. Discussion Papers.
  8. Athanasouli, Daphne & Goujard, Antoine, 2015. "Corruption and management practices: Firm level evidence," Journal of Comparative Economics, Elsevier, vol. 43(4), pages 1014-1034.
  9. Kirill S. Evdokimov & Michal Kolesár, 2018. "Inference in Instrumental Variable Regression Analysis with Heterogeneous Treatment Effects," Working Papers 2018-16, Princeton University. Economics Department..
  10. Zhaonan Qu & Yongchan Kwon, 2024. "Distributionally Robust Instrumental Variables Estimation," Papers 2410.15634, arXiv.org, revised Dec 2024.
  11. Damian Clarke & Benjamín Matta, 2018. "Practical considerations for questionable IVs," Stata Journal, StataCorp LP, vol. 18(3), pages 663-691, September.
  12. Qingliang Fan & Yaqian Wu, 2020. "Endogenous Treatment Effect Estimation with some Invalid and Irrelevant Instruments," Papers 2006.14998, arXiv.org.
  13. Sophie van Huellen & Duo Qin, 2019. "Compulsory Schooling and Returns to Education: A Re-Examination," Econometrics, MDPI, vol. 7(3), pages 1-20, September.
  14. Kolesár, Michal, 2018. "Minimum distance approach to inference with many instruments," Journal of Econometrics, Elsevier, vol. 204(1), pages 86-100.
  15. Ben-Moshe, Dan & D’Haultfœuille, Xavier & Lewbel, Arthur, 2017. "Identification of additive and polynomial models of mismeasured regressors without instruments," Journal of Econometrics, Elsevier, vol. 200(2), pages 207-222.
  16. Frank Windmeijer & Helmut Farbmacher & Neil Davies & George Davey Smith, 2019. "On the Use of the Lasso for Instrumental Variables Estimation with Some Invalid Instruments," Journal of the American Statistical Association, Taylor & Francis Journals, vol. 114(527), pages 1339-1350, July.
  17. M. Shahe Emran & Asadul Islam & Forhad Shilpi, 2020. "Distributional Effects of Corruption When Enforcement is Biased: Theory and Evidence from Bribery in Schools in Bangladesh," Economica, London School of Economics and Political Science, vol. 87(348), pages 985-1015, October.
  18. Tomás Cortés & Nicolás Grau & Jorge Rivera, 2019. "Juvenile Incarceration and Adult Recidivism," Working Papers wp482, University of Chile, Department of Economics.
  19. Jiawei Fu, 2024. "Extracting Mechanisms from Heterogeneous Effects: An Identification Strategy for Mediation Analysis," Papers 2403.04131, arXiv.org, revised Oct 2024.
  20. Frank Windmeijer & Xiaoran Liang & Fernando P. Hartwig & Jack Bowden, 2021. "The confidence interval method for selecting valid instrumental variables," Journal of the Royal Statistical Society Series B, Royal Statistical Society, vol. 83(4), pages 752-776, September.
  21. Weiming Zhang & Debashis Ghosh, 2021. "A General Approach to Sensitivity Analysis for Mendelian Randomization," Statistics in Biosciences, Springer;International Chinese Statistical Association, vol. 13(1), pages 34-55, April.
  22. Brigham Frandsen & Lars Lefgren & Emily Leslie, 2023. "Judging Judge Fixed Effects," American Economic Review, American Economic Association, vol. 113(1), pages 253-277, January.
  23. Michal Kolesár & Raj Chetty & John Friedman & Edward Glaeser & Guido W. Imbens, 2015. "Identification and Inference With Many Invalid Instruments," Journal of Business & Economic Statistics, Taylor & Francis Journals, vol. 33(4), pages 474-484, October.
  24. Anna Aizer & Joseph J. Doyle, 2015. "Juvenile Incarceration, Human Capital, and Future Crime: Evidence from Randomly Assigned Judges," The Quarterly Journal of Economics, President and Fellows of Harvard College, vol. 130(2), pages 759-803.
  25. Hollenbeck, Brett, 2018. "Online Reputation Mechanisms and the Decreasing Value of Chain Affliation," MPRA Paper 91573, University Library of Munich, Germany.
  26. Mertens, Matthias & Müller, Steffen & Neuschäffer, Georg, 2022. "Identifying rent-sharing using firms' energy input mix," IWH Discussion Papers 19/2022, Halle Institute for Economic Research (IWH).
  27. Kirill Borusyak & Peter Hull & Xavier Jaravel, 2022. "Quasi-Experimental Shift-Share Research Designs," The Review of Economic Studies, Review of Economic Studies Ltd, vol. 89(1), pages 181-213.
  28. Doyle, Joseph J. & Graves, John A. & Gruber, Jonathan, 2017. "Uncovering waste in US healthcare," Journal of Health Economics, Elsevier, vol. 54(C), pages 25-39.
  29. Ahsan, Md Nazmul & Emran, M. Shahe & Shilpi, Forhad, 2024. "On the Rank-Rank Model of Intergenerational Mobility: Pitfalls for Policy Evaluation," MPRA Paper 121676, University Library of Munich, Germany.
  30. Jason Hartford & Victor Veitch & Dhanya Sridhar & Kevin Leyton-Brown, 2020. "Valid Causal Inference with (Some) Invalid Instruments," Papers 2006.11386, arXiv.org.
  31. Byunghoon Kang, 2018. "Higher Order Approximation of IV Estimators with Invalid Instruments," Working Papers 257105320, Lancaster University Management School, Economics Department.
  32. 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.
  33. Cattaneo, Matias D. & Jansson, Michael & Newey, Whitney K., 2018. "Alternative Asymptotics And The Partially Linear Model With Many Regressors," Econometric Theory, Cambridge University Press, vol. 34(2), pages 277-301, April.
  34. Kédagni, Désiré, 2023. "Identifying treatment effects in the presence of confounded types," Journal of Econometrics, Elsevier, vol. 234(2), pages 479-511.
  35. Alyssa G. Anderson & Wenxin Du & Bernd Schlusche, 2021. "Arbitrage Capital of Global Banks," Finance and Economics Discussion Series 2021-032, Board of Governors of the Federal Reserve System (U.S.).
  36. Hyunseung Kang & Youjin Lee & T. Tony Cai & Dylan S. Small, 2022. "Two robust tools for inference about causal effects with invalid instruments," Biometrics, The International Biometric Society, vol. 78(1), pages 24-34, March.
  37. Hans (J.L.W.) van Kippersluis & Niels (C.A.) Rietveld, 2017. "Beyond Plausibly Exogenous," Tinbergen Institute Discussion Papers 17-096/V, Tinbergen Institute.
  38. Guo, Zijian & Kang, Hyunseung & Cai, T. Tony & Small, Dylan S., 2018. "Testing endogeneity with high dimensional covariates," Journal of Econometrics, Elsevier, vol. 207(1), pages 175-187.
  39. Joseph J. Doyle, Jr. & John A. Graves & Jonathan Gruber & Samuel Kleiner, 2012. "Do High-Cost Hospitals Deliver Better Care? Evidence from Ambulance Referral Patterns," NBER Working Papers 17936, National Bureau of Economic Research, Inc.
  40. Rui Wang, 2023. "Point Identification of LATE with Two Imperfect Instruments," Papers 2303.13795, arXiv.org.
  41. Daniel A. Broxterman & William D. Larson, 2020. "An empirical examination of shift‐share instruments," Journal of Regional Science, Wiley Blackwell, vol. 60(4), pages 677-711, September.
  42. Angrist, Joshua D., 2014. "The perils of peer effects," Labour Economics, Elsevier, vol. 30(C), pages 98-108.
  43. Peter Hull & Michal Kolesár & Christopher Walters, 2022. "Labor by design: contributions of David Card, Joshua Angrist, and Guido Imbens," Scandinavian Journal of Economics, Wiley Blackwell, vol. 124(3), pages 603-645, July.
  44. Nicolás Grau & Gonzalo Marivil & Jorge Rivera, 2019. "The Effect of Pretrial Detention on Labor Market Outcomes," Working Papers wp488, University of Chile, Department of Economics.
  45. Jessica M B Rees & Angela M Wood & Frank Dudbridge & Stephen Burgess, 2019. "Robust methods in Mendelian randomization via penalization of heterogeneous causal estimates," PLOS ONE, Public Library of Science, vol. 14(9), pages 1-24, September.
  46. Zanella, Giulio, 2020. "Prison Work and Convict Rehabilitation," IZA Discussion Papers 13446, Institute of Labor Economics (IZA).
  47. Frank Kleibergen & Zhaoguo Zhan, 2021. "Double robust inference for continuous updating GMM," Papers 2105.08345, arXiv.org.
  48. Rieber, Alexander & Schechinger, Steffen, 2019. "Herding Behavior between Rating Agencies," VfS Annual Conference 2019 (Leipzig): 30 Years after the Fall of the Berlin Wall - Democracy and Market Economy 203580, Verein für Socialpolitik / German Economic Association.
  49. Cameron McIntosh, 2014. "The presence of an error term does not preclude causal inference in regression: a comment on Krause (2012)," Quality & Quantity: International Journal of Methodology, Springer, vol. 48(1), pages 243-250, January.
  50. Yiqi Lin & Frank Windmeijer & Xinyuan Song & Qingliang Fan, 2022. "On the instrumental variable estimation with many weak and invalid instruments," Papers 2207.03035, arXiv.org, revised Dec 2023.
  51. Markussen, Simen & Strøm, Marte, 2015. "The Effects of Motherhood," Memorandum 19/2015, Oslo University, Department of Economics.
  52. Eugenio Levi & Isabelle Sin & Steven Stillman, 2024. "The lasting impact of external shocks on political opinions and populist voting," Economic Inquiry, Western Economic Association International, vol. 62(1), pages 349-374, January.
  53. 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.
  54. Ruoyao Shi & Zhipeng Liao, 2018. "An Averaging GMM Estimator Robust to Misspecification," Working Papers 201803, University of California at Riverside, Department of Economics.
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