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Citations for "Split-Sample Instrumental Variables Estimates of the Return to Schooling"

by Angrist, Joshua D & Krueger, Alan B

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  1. Joshua D. Angrist & Alan B. Krueger, 2001. "Instrumental Variables and the Search for Identification: From Supply and Demand to Natural Experiments," Journal of Economic Perspectives, American Economic Association, vol. 15(4), pages 69-85, Fall.
  2. Jeremy W. Bray & Gary A. Zarkin & Chris Ringwalt & Junfeng Qi, 2000. "The relationship between marijuana initiation and dropping out of high school," Health Economics, John Wiley & Sons, Ltd., vol. 9(1), pages 9-18.
  3. Paul A. Bekker & Jan van der Ploeg, 2000. "Instrumental Variable Estimation Based on Grouped Data," Econometric Society World Congress 2000 Contributed Papers 1862, Econometric Society.
  4. Raj Chetty & John N. Friedman & Nathaniel Hilger & Emmanuel Saez & Diane Whitmore Schanzenbach & Danny Yagan, 2011. "How Does Your Kindergarten Classroom Affect Your Earnings? Evidence from Project Star," The Quarterly Journal of Economics, Oxford University Press, vol. 126(4), pages 1593-1660.
  5. Corak, Miles & Lipps, Garth & Zhao, John, 2003. "Family Income and Participation in Post-secondary Education," Analytical Studies Branch Research Paper Series 2003210e, Statistics Canada, Analytical Studies Branch.
  6. Lemos Sara, 2005. "Political Variables as Instruments for the Minimum Wage," The B.E. Journal of Economic Analysis & Policy, De Gruyter, vol. 4(1), pages 1-33, December.
  7. Colin Vance & Ralf Hedel, 2006. "On the Link between Urban Form and Automobile Use - Evidence from German Survey Data," RWI Discussion Papers 0048, Rheinisch-Westfälisches Institut für Wirtschaftsforschung.
  8. Chao, John & Swanson, Norman R., 2007. "Alternative approximations of the bias and MSE of the IV estimator under weak identification with an application to bias correction," Journal of Econometrics, Elsevier, vol. 137(2), pages 515-555, April.
  9. Dalton Conley & Rebecca Glauber, 2005. "Parental Educational Investment and Children's Academic Risk: Estimates of the Impact of Sibship Size and Birth Order from Exogenous Variations in Fertility," NBER Working Papers 11302, National Bureau of Economic Research, Inc.
  10. Victor Chernozhukov & Denis Chetverikov & Mert Demirer & Esther Duflo & Christian Hansen & Whitney Newey & James Robins, 2017. "Double/Debiased Machine Learning for Treatment and Structural Parameters," NBER Working Papers 23564, National Bureau of Economic Research, Inc.
  11. Cruces, Guillermo & Galiani, Sebastian, 2007. "Fertility and female labor supply in Latin America: New causal evidence," Labour Economics, Elsevier, vol. 14(3), pages 565-573, June.
  12. Abdurrahman Aydemir & George J. Borjas, 2011. "Attenuation Bias in Measuring the Wage Impact of Immigration," Journal of Labor Economics, University of Chicago Press, vol. 29(1), pages 69-113, January.
  13. Barbara Wolfe & Robert Haveman & Karen Pence & Jonathan Schwabish, 2007. "Do youth nonmarital childbearing choices reflect income and relationship expectations?," Journal of Population Economics, Springer;European Society for Population Economics, vol. 20(1), pages 73-100, February.
  14. Joshua D. Angrist & William N. Evans, 1996. "Schooling and Labor Market Consequences of the 1970 State Abortion Reforms," NBER Working Papers 5406, National Bureau of Economic Research, Inc.
  15. Isaiah Andrews & Timothy B. Armstrong, 2015. "Unbiased Instrumental Variables Estimation under Known First-Stage Sign," Cowles Foundation Discussion Papers 1984R, Cowles Foundation for Research in Economics, Yale University, revised Mar 2015.
  16. Kaushal, N., 2007. "Do food stamps cause obesity?: Evidence from immigrant experience," Journal of Health Economics, Elsevier, vol. 26(5), pages 968-991, September.
  17. Jean-Marie Dufour, 2003. "Identification, weak instruments, and statistical inference in econometrics," Canadian Journal of Economics, Canadian Economics Association, vol. 36(4), pages 767-808, November.
  18. Jeffrey R. Kling, 2006. "Incarceration Length, Employment, and Earnings," American Economic Review, American Economic Association, vol. 96(3), pages 863-876, June.
  19. repec:zbw:rwidps:0048 is not listed on IDEAS
  20. Maribel Jiménez, 2011. "Un Análisis Empírico de las No Linealidades en la Movilidad Intergeneracional del Ingreso. El caso de la Argentina," CEDLAS, Working Papers 0114, CEDLAS, Universidad Nacional de La Plata.
  21. Bénédicte Apouey & Gabriel Picone, 2014. "Social Interactions And Malaria Preventive Behaviors In Sub‐Saharan Africa," Health Economics, John Wiley & Sons, Ltd., vol. 23(9), pages 994-1012, September.
  22. John C. Chao & Norman R. Swanson, 2005. "Consistent Estimation with a Large Number of Weak Instruments," Econometrica, Econometric Society, vol. 73(5), pages 1673-1692, 09.
  23. Kezdi, Gabor & Hahn, Jinyong & Solon, Gary, 2002. "Jackknife minimum distance estimation," Economics Letters, Elsevier, vol. 76(1), pages 35-45, June.
  24. Marco Manacorda & Andrea Tesei, 2016. "Liberation Technology: Mobile Phones and Political Mobilization in Africa," HiCN Working Papers 217, Households in Conflict Network.
  25. Currie, Janet & Yelowitz, Aaron, 2000. "Are public housing projects good for kids?," Journal of Public Economics, Elsevier, vol. 75(1), pages 99-124, January.
  26. Adermon, Adrian & Liang, Che-Yuan, 2014. "Piracy and music sales: The effects of an anti-piracy law," Journal of Economic Behavior & Organization, Elsevier, vol. 105(C), pages 90-106.
  27. Vance, Colin & Hedel, Ralf, 2006. "On the Link between Urban Form and Automobile Use - Evidence from German Survey Data," RWI Discussion Papers 48, RWI - Leibniz-Institut für Wirtschaftsforschung.
  28. repec:dgr:rugsom:95b24 is not listed on IDEAS
  29. Ashenfelter, Orley & Harmon, Colm & Oosterbeek, Hessel, 1999. "A review of estimates of the schooling/earnings relationship, with tests for publication bias," Labour Economics, Elsevier, vol. 6(4), pages 453-470, November.
  30. Isaiah Andrews & Timothy B. Armstrong, 2015. "Unbiased Instrumental Variables Estimation under Known First-Stage Sign," Cowles Foundation Discussion Papers 1984R2, Cowles Foundation for Research in Economics, Yale University, revised Sep 2015.
  31. Feng Yao & Junsen Zhang, 2015. "Efficient kernel-based semiparametric IV estimation with an application to resolving a puzzle on the estimates of the return to schooling," Empirical Economics, Springer, vol. 48(1), pages 253-281, February.
  32. Firmin Doko Tchatoka & Jean‐Marie Dufour, 2014. "Identification‐robust inference for endogeneity parameters in linear structural models," Econometrics Journal, Royal Economic Society, vol. 17(1), pages 165-187, February.
  33. Pacini, David & Windmeijer, Frank, 2016. "Robust inference for the Two-Sample 2SLS estimator," Economics Letters, Elsevier, vol. 146(C), pages 50-54.
  34. Borjas, George J., 2004. "Food insecurity and public assistance," Journal of Public Economics, Elsevier, vol. 88(7-8), pages 1421-1443, July.
  35. Johannes A. Skjeltorp & Elvira Sojli & Wing Wah Tham, 2012. "Identifying cross-sided liquidity externalities," Working Paper 2012/20, Norges Bank.
  36. Chao, John C. & Swanson, Norman R. & Hausman, Jerry A. & Newey, Whitney K. & Woutersen, Tiemen, 2012. "Asymptotic Distribution Of Jive In A Heteroskedastic Iv Regression With Many Instruments," Econometric Theory, Cambridge University Press, vol. 28(01), pages 42-86, February.
  37. Arnaud Lefranc & Alain Trannoy, 2005. "Intergenerational earnings mobility in France: Is France more mobile than the U.S.?," Annals of Economics and Statistics, GENES, issue 78, pages 57-77.
  38. Arnaud LEFRANC & Fumiaki OJIMA & Takashi YOSHIDA, 2008. "The Intergenerational Transmission of Income and Education: A Comparison of Japan and France," RSCAS Working Papers 2008/25, European University Institute.
  39. Pablo Lavado & Gonzalo Rivera, 2016. "Identifying Treatment Effects with Data Combination and Unobserved Heterogeneity," Working Papers 2016-79, Peruvian Economic Association.
  40. Norman R. Swanson & John C. Chao, 2004. "Estimation and Testing Using Jackknife IV in Heteroskedastic Regressions with Many Weak Instruments," Econometric Society 2004 Far Eastern Meetings 668, Econometric Society.
  41. Dino Falaschetti, 2004. "Can Voting Reduce Welfare? Evidence from the US Telecommunications Sector," Public Economics 0401009, EconWPA.
  42. Pablo Lavado, "undated". "Identifying Treatment Effects and Counterfactual Distributions using Data Combination with Unobserved Heterogeneity," Working Papers 13-25, Departamento de Economía, Universidad del Pacífico.
  43. Arnaud Lefranc & Fumiaki Ojima & Takashi Yoshida, 2014. "Intergenerational earnings mobility in Japan among sons and daughters: levels and trends," Journal of Population Economics, Springer;European Society for Population Economics, vol. 27(1), pages 91-134, January.
  44. Nakamura, Alice & Nakamura, Masao, 1998. "Model specification and endogeneity," Journal of Econometrics, Elsevier, vol. 83(1-2), pages 213-237.
  45. Victor Chernozhukov & Denis Chetverikov & Mert Demirer & Esther Duflo & Christian Hansen & Whitney Newey & James Robins, 2016. "Double/Debiased Machine Learning for Treatment and Causal Parameters," Papers 1608.00060, arXiv.org, revised Jun 2017.
  46. Marcello Estevao & Stacey Tevlin, 2003. "Do Firms Share their Success with Workers? The Response of Wages to Product Market Conditions," Economica, London School of Economics and Political Science, vol. 70(280), pages 597-617, November.
  47. Alonso-Borrego, Cesar & Arellano, Manuel, 1999. "Symmetrically Normalized Instrumental-Variable Estimation Using Panel Data," Journal of Business & Economic Statistics, American Statistical Association, vol. 17(1), pages 36-49, January.
  48. Manuel Salas Velasco, 2004. "Rendimientos privados de las inversiones en educación superior a partir de ecuaciones de ingresos," Hacienda Pública Española, IEF, vol. 169(2), pages 87-117, June.
  49. Dino Falaschetti, 2003. "Voter Turnout, Regulatory Commitment, and Capital Accumulation: Evidence from the US Telecommunications Sector," Microeconomics 0311002, EconWPA.
  50. Daniel A. Ackerberg & Paul J. Devereux, 2009. "Improved JIVE Estimators for Overidentified Linear Models with and without Heteroskedasticity," The Review of Economics and Statistics, MIT Press, vol. 91(2), pages 351-362, May.
  51. Joshua D. Angrist & Stacey H. Chen, 2007. "Long-term consequences of vietnam-era conscription: schooling, experience, and earnings," NBER Working Papers 13411, National Bureau of Economic Research, Inc.
  52. Emily Nix & Nancy Qian, 2015. "The Fluidity of Race: “Passing” in the United States, 1880-1940," NBER Working Papers 20828, National Bureau of Economic Research, Inc.
  53. Michael T. French & Johanna C. Maclean, 2006. "Underage alcohol use, delinquency, and criminal activity," Health Economics, John Wiley & Sons, Ltd., vol. 15(12), pages 1261-1281.
  54. Jean-Marie Dufour & Mohamed Taamouti, 2005. "Projection-Based Statistical Inference in Linear Structural Models with Possibly Weak Instruments," Econometrica, Econometric Society, vol. 73(4), pages 1351-1365, July.
  55. Luca Nunziata, 2015. "Immigration and crime: evidence from victimization data," Journal of Population Economics, Springer;European Society for Population Economics, vol. 28(3), pages 697-736, July.
  56. Khalaf, Lynda & Schaller, Huntley, 2016. "Identification and inference in two-pass asset pricing models," Journal of Economic Dynamics and Control, Elsevier, vol. 70(C), pages 165-177.
  57. Bernheim, B. Douglas & Garrett, Daniel M. & Maki, Dean M., 2001. "Education and saving:: The long-term effects of high school financial curriculum mandates," Journal of Public Economics, Elsevier, vol. 80(3), pages 435-465, June.
  58. Saiz, Albert & Zoido, Elena, 2004. "Curriculum mandates and skills in adulthood: the case of foreign languages," Economics Letters, Elsevier, vol. 84(1), pages 1-8, July.
  59. Yannis M. Ioannides & Jeffrey E. Zabel, 2003. "Neighbourhood effects and housing demand," Journal of Applied Econometrics, John Wiley & Sons, Ltd., vol. 18(5), pages 563-584.
  60. Maribel Jiménez, 2016. "Movilidad Intergeneracional del Ingreso en Argentina. Un Análisis de sus Cambios Temporales desde el Enfoque de Igualdad de Oportunidades," CEDLAS, Working Papers 0203, CEDLAS, Universidad Nacional de La Plata.
  61. Chamberlain, Gary & Imbens, Guido, 1996. "Hierarchical Bayes Models with Many Instrumental Variables," Scholarly Articles 3221489, Harvard University Department of Economics.
  62. Isaiah Andrews & Timothy B. Armstrong, 2015. "Unbiased Instrumental Variables Estimation under Known First-Stage Sign," Cowles Foundation Discussion Papers 1984R3, Cowles Foundation for Research in Economics, Yale University, revised Oct 2015.
  63. Orsini, Chiara, 2010. "Changing the way the elderly live: Evidence from the home health care market in the United States," Journal of Public Economics, Elsevier, vol. 94(1-2), pages 142-152, February.
  64. Alberto Abadie, 2000. "Bootstrap Tests for the Effect of a Treatment on the Distribution of an Outcome Variable," NBER Technical Working Papers 0261, National Bureau of Economic Research, Inc.
  65. Patrick Bayer & Fernando Ferreira & Stephen L. Ross, 2016. "What Drives Racial and Ethnic Differences in High Cost Mortgages? The Role of High Risk Lenders," Working Papers 2016-005, Human Capital and Economic Opportunity Working Group.
  66. John C. Chao & Norman R. Swanson, 2003. "Asymptotic Normality of Single-Equation Estimators for the Case with a Large Number of Weak Instruments," Departmental Working Papers 200312, Rutgers University, Department of Economics.
  67. Card, David, 2001. "Estimating the Return to Schooling: Progress on Some Persistent Econometric Problems," Econometrica, Econometric Society, vol. 69(5), pages 1127-1160, September.
  68. Fafchamps, Marcel & Labonne, Julien, 2016. "Using Split Samples to Improve Inference on Causal Effects," CEPR Discussion Papers 11077, C.E.P.R. Discussion Papers.
  69. Angrist, J D & Imbens, G W & Krueger, A B, 1999. "Jackknife Instrumental Variables Estimation," Journal of Applied Econometrics, John Wiley & Sons, Ltd., vol. 14(1), pages 57-67, Jan.-Feb..
  70. Corak, Miles & Lipps, Garth & Zhao, John, 2003. "Revenu familial et participation aux etudes postsecondaires," Direction des etudes analytiques : documents de recherche 2003210f, Statistics Canada, Direction des etudes analytiques.
  71. Prokhorov, Artem & Schmidt, Peter, 2009. "GMM redundancy results for general missing data problems," Journal of Econometrics, Elsevier, vol. 151(1), pages 47-55, July.
  72. Daron Acemoglu & Joshua Angrist, 1999. "How Large are the Social Returns to Education? Evidence from Compulsory Schooling Laws," NBER Working Papers 7444, National Bureau of Economic Research, Inc.
  73. Badi H. Baltagi & Chihwa Kao, 2000. "Nonstationary Panels, Cointegration in Panels and Dynamic Panels: A Survey," Center for Policy Research Working Papers 16, Center for Policy Research, Maxwell School, Syracuse University.
  74. Firmin DOKO TCHATOKA & Jean-Marie DUFOUR, 2016. "Exogeneity Tests, Incomplete Models, Weak Identification and Non-Gaussian Distributions : Invariance and Finite-Sample Distributional Theory," Cahiers de recherche 14-2016, Centre interuniversitaire de recherche en économie quantitative, CIREQ.
  75. Marcel Fafchamps & Julien Labonne, 2016. "Using Split Samples to Improve Inference about Causal Effects," NBER Working Papers 21842, National Bureau of Economic Research, Inc.
  76. Faqin Lin & Can Huang & Xiaobo He & Chao Zhang, 2013. "Do more highly educated entrepreneurs matter?," Asian-Pacific Economic Literature, Asia Pacific School of Economics and Government, The Australian National University, vol. 27(2), pages 104-116, November.
  77. repec:bth:wpaper:2005-10 is not listed on IDEAS
  78. Isaiah Andrews & Timothy B. Armstrong, 2015. "Unbiased Instrumental Variables Estimation under Known First-Stage Sign," Cowles Foundation Discussion Papers 1984R4, Cowles Foundation for Research in Economics, Yale University, revised Apr 2016.
  79. Anna Christina D'Addio, 2007. "Intergenerational Transmission of Disadvantage: Mobility or Immobility Across Generations?," OECD Social, Employment and Migration Working Papers 52, OECD Publishing.
  80. Herz, Benedikt, 2017. "Specific Human Capital and Wait Unemployment," MPRA Paper 76777, University Library of Munich, Germany.
  81. Dino Falaschetti, 2004. "Can Voting Reduce Welfare? Evidence from the US Telecommunications Sector," Public Economics 0401006, EconWPA.
  82. Jaeger, David A. & Parys, Juliane, 2009. "On the Sensitivity of Return to Schooling Estimates to Estimation Methods, Model Specification, and Influential Outliers If Identification Is Weak," IZA Discussion Papers 3961, Institute for the Study of Labor (IZA).
  83. Ploeg, Jan van der & Bekker, Paul A., 1995. "Efficiency bounds for instrumental variable estimators under group-asymptotics," Research Report 95B24, University of Groningen, Research Institute SOM (Systems, Organisations and Management).
  84. Joshua D. Angrist & Jinyong Hahn, 1999. "When to Control for Covariates? Panel-Asymptotic Results for Estimates of Treatment Effects," NBER Technical Working Papers 0241, National Bureau of Economic Research, Inc.
  85. Jeffrey R. Kling, 2004. "Incarceration Length, Employment, and Earnings," Working Papers 873, Princeton University, Department of Economics, Industrial Relations Section..
  86. Dino Falaschetti, 2003. "Can latent groups influence policy decisions? The case of telecommunications policy," Public Economics 0311002, EconWPA.
  87. Rietveld, Cornelius A. & Webbink, Dinand, 2016. "On the genetic bias of the quarter of birth instrument," Economics & Human Biology, Elsevier, vol. 21(C), pages 137-146.
  88. repec:spr:manint:v:57:y:2017:i:2:d:10.1007_s11575-016-0292-9 is not listed on IDEAS
  89. John Shea, 1997. "Instrument Relevance in Multivariate Linear Models: A Simple Measure," The Review of Economics and Statistics, MIT Press, vol. 79(2), pages 348-352, May.
  90. Joshua Angrist & Alan Krueger, 2001. "Instrumental Variables and the Search for Identification: From Supply and Demand to Natural Experiments," Working Papers 834, Princeton University, Department of Economics, Industrial Relations Section..
This information is provided to you by IDEAS at the Research Division of the Federal Reserve Bank of St. Louis using RePEc data.