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Evaluating the Welfare State

Citations

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Cited by:

  1. Victor Aguirregabiria, 2006. "Another Look at the Identification of Dynamic Discrete Decision Processes: With an Application to Retirement Behavior," 2006 Meeting Papers 169, Society for Economic Dynamics.
  2. Carneiro, Pedro & Hansen, Karsten T. & Heckman, James J., 2003. "Estimating Distributions of Treatment Effects with an Application to the Returns to Schooling and Measurement of the Effects of Uncertainty on College Choice," IZA Discussion Papers 767, Institute of Labor Economics (IZA).
  3. Filomena, Mattia & Giorgetti, Isabella & Picchio, Matteo, 2022. "Off to a Bad Start: Youth Nonemployment and Labor Market Outcomes Later in Life," IZA Discussion Papers 15366, Institute of Labor Economics (IZA).
  4. Lise, Jeremy & Seitz, Shannon & Smith, Jeffrey A., 2003. "Equilibrium Policy Experiments and the Evaluation of Social Programs," IZA Discussion Papers 758, Institute of Labor Economics (IZA).
  5. Abbring, Jaap H., 2003. "Dynamic Econometric Program Evaluation," IZA Discussion Papers 804, Institute of Labor Economics (IZA).
  6. James Heckman & Justin L. Tobias & Edward Vytlacil, 2001. "Four Parameters of Interest in the Evaluation of Social Programs," Southern Economic Journal, John Wiley & Sons, vol. 68(2), pages 210-223, October.
  7. Cristian Aedo & Sergio Nuñez, 2004. "Efectos de las políticas de capacitación en América Latina y el Caribe: el caso del Programa Joven," Research Department Publications 3176, Inter-American Development Bank, Research Department.
  8. Cahuc, Pierre & Le Barbanchon, Thomas, 2010. "Labor market policy evaluation in equilibrium: Some lessons of the job search and matching model," Labour Economics, Elsevier, vol. 17(1), pages 196-205, January.
  9. Cornelissen, Thomas & Dustmann, Christian & Raute, Anna & Schönberg, Uta, 2016. "From LATE to MTE: Alternative methods for the evaluation of policy interventions," Labour Economics, Elsevier, vol. 41(C), pages 47-60.
  10. Barbara Sianesi, 2016. "‘Randomisation bias’ in the medical literature: a review," IFS Working Papers W16/23, Institute for Fiscal Studies.
  11. Alec Brandon & Paul J. Ferraro & John A. List & Robert D. Metcalfe & Michael K. Price & Florian Rundhammer, 2017. "Do The Effects of Social Nudges Persist? Theory and Evidence from 38 Natural Field Experiments," Experimental Economics Center Working Paper Series 2017-04, Experimental Economics Center, Andrew Young School of Policy Studies, Georgia State University.
  12. Susan Athey & Scott Stern, 1998. "An Empirical Framework for Testing Theories About Complimentarity in Organizational Design," NBER Working Papers 6600, National Bureau of Economic Research, Inc.
  13. Nirav Mehta, 2019. "An Economic Approach to Generalizing Findings from Regression-Discontinuity Designs," Journal of Human Resources, University of Wisconsin Press, vol. 54(4), pages 953-985.
  14. Brantly Callaway, 2017. "Job Displacement during the Great Recession: Tight Bounds on Distributional Treatment Effect Parameters using Panel Data," DETU Working Papers 1703, Department of Economics, Temple University.
  15. Hector Chade & Gustavo Ventura, 1998. "Taxes and Marriage: A Two-Sided Search Analysis," University of Western Ontario, Departmental Research Report Series 9819, University of Western Ontario, Department of Economics.
  16. Dan A. Black & Mark C. Berger & Jeffrey A. Smith & Brett J. Noel, 1999. "Is the Threat of Training More Effective Than Training Itself? Experimental Evidence from the UI System," University of Western Ontario, Departmental Research Report Series 9907, University of Western Ontario, Department of Economics.
  17. Heckman, James, 2001. "Accounting for Heterogeneity, Diversity and General Equilibrium in Evaluating Social Programmes," Economic Journal, Royal Economic Society, vol. 111(475), pages 654-699, November.
  18. Goetz, Alexander & Mayr, Harald & Schubert, Renate, 2024. "One thing leads to another: Evidence on the scope and persistence of behavioral spillovers," Journal of Public Economics, Elsevier, vol. 236(C).
  19. Pedro Carneiro, 2003. "Evaluating Education Policies when the Rate of Return Varies Across Individuals," Latin American Journal of Economics-formerly Cuadernos de Economía, Instituto de Economía. Pontificia Universidad Católica de Chile., vol. 40(121), pages 516-529.
  20. Hidehiko Ichimura & Christopher Taber, 2000. "Direct estimation of policy impacts," IFS Working Papers W00/05, Institute for Fiscal Studies.
  21. Jinyong Hahn & Petra Todd & Wilbert Van der Klaauw, 1999. "Evaluating the Effect of an Antidiscrimination Law Using a Regression-Discontinuity Design," NBER Working Papers 7131, National Bureau of Economic Research, Inc.
  22. Aedo, Cristían & Nuñez, Sergio, 2004. "The Impact of Training Policies in Latin America and the Caribbean: The Case of Programa Joven," IDB Publications (Working Papers) 3287, Inter-American Development Bank.
  23. Jane Cooley Fruehwirth & Salvador Navarro & Yuya Takahashi, 2016. "How the Timing of Grade Retention Affects Outcomes: Identification and Estimation of Time-Varying Treatment Effects," Journal of Labor Economics, University of Chicago Press, vol. 34(4), pages 979-1021.
  24. Rihab Bellakhal & Mohamed-Badrane Mahjoub, 2015. "Estimating the effect of vocational training programs on employment and wage: The case of Tunisia," Economics Bulletin, AccessEcon, vol. 35(3), pages 1820-1833.
  25. Mingliang Li & Dale J. Poirier & Justin L. Tobias, 2004. "Do dropouts suffer from dropping out? Estimation and prediction of outcome gains in generalized selection models," Journal of Applied Econometrics, John Wiley & Sons, Ltd., vol. 19(2), pages 203-225.
  26. Matthew A. Masten & Alexandre Poirier & Linqi Zhang, 2024. "Assessing Sensitivity to Unconfoundedness: Estimation and Inference," Journal of Business & Economic Statistics, Taylor & Francis Journals, vol. 42(1), pages 1-13, January.
  27. Jean-Pierre Florens & James Heckman & Costas Meghir & Edward Vytlacil, 2002. "Instrumental variables, local instrumental variables and control functions," CeMMAP working papers CWP15/02, Centre for Microdata Methods and Practice, Institute for Fiscal Studies.
  28. Matteo Picchio & Claudia Pigini & Stefano Staffolani & Alina Verashchagina, 2021. "If not now, when? The timing of childbirth and labor market outcomes," Journal of Applied Econometrics, John Wiley & Sons, Ltd., vol. 36(6), pages 663-685, September.
  29. James J. Heckman, 2008. "Econometric Causality," International Statistical Review, International Statistical Institute, vol. 76(1), pages 1-27, April.
  30. Heckman, James J. & Navarro, Salvador, 2007. "Dynamic discrete choice and dynamic treatment effects," Journal of Econometrics, Elsevier, vol. 136(2), pages 341-396, February.
  31. Thomas Andren & Daniela Andren, 2006. "Assessing the employment effects of vocational training using a one-factor model," Applied Economics, Taylor & Francis Journals, vol. 38(21), pages 2469-2486.
  32. Venetoklis, Takis, 2002. "Public Policy Evaluation: Introduction to Quantitative Methodologies," Research Reports 90, VATT Institute for Economic Research.
  33. Basu, Anirban, 2011. "Economics of individualization in comparative effectiveness research and a basis for a patient-centered health care," Journal of Health Economics, Elsevier, vol. 30(3), pages 549-559, May.
  34. Andrea Ichino & Fabrizia Mealli & Tommaso Nannicini, 2008. "From temporary help jobs to permanent employment: what can we learn from matching estimators and their sensitivity?," Journal of Applied Econometrics, John Wiley & Sons, Ltd., vol. 23(3), pages 305-327.
  35. Sergio Firpo & Cristine Pinto, 2016. "Identification and Estimation of Distributional Impacts of Interventions Using Changes in Inequality Measures," Journal of Applied Econometrics, John Wiley & Sons, Ltd., vol. 31(3), pages 457-486, April.
  36. Dan A. Black & Jeffrey A. Smith & Mark C. Berger & Brett J. Noel, 2002. "Is the Threat of Reemployment Services More Effective than the Services Themselves? Experimental Evidence from the UI System," NBER Working Papers 8825, National Bureau of Economic Research, Inc.
  37. Heckman, James J. & Moon, Seong Hyeok & Pinto, Rodrigo & Savelyev, Peter A. & Yavitz, Adam, 2010. "The rate of return to the HighScope Perry Preschool Program," Journal of Public Economics, Elsevier, vol. 94(1-2), pages 114-128, February.
  38. Mogstad, Magne & Torgovitsky, Alexander & Walters, Christopher R., 2024. "Policy evaluation with multiple instrumental variables," Journal of Econometrics, Elsevier, vol. 243(1).
  39. Gautier, Eric & Hoderlein, Stefan, 2011. "A triangular treatment effect model with random coefficients in the selection equation," TSE Working Papers 15-598, Toulouse School of Economics (TSE), revised 25 Aug 2015.
  40. Firpo, Sergio & Galvao, Antonio F. & Kobus, Martyna & Parker, Thomas & Rosa-Dias, Pedro, 2020. "Loss Aversion and the Welfare Ranking of Policy Interventions," IZA Discussion Papers 13176, Institute of Labor Economics (IZA).
  41. Yonatan Eyal, 2020. "Self-Assessment Variables as a Source of Information in the Evaluation of Intervention Programs: A Theoretical and Methodological Framework," SAGE Open, , vol. 10(1), pages 21582440198, January.
  42. Boockmann Bernhard & Buch Claudia M. & Schnitzer Monika, 2014. "Evidenzbasierte Wirtschaftspolitik in Deutschland: Defizite und Potentiale," Perspektiven der Wirtschaftspolitik, De Gruyter, vol. 15(4), pages 307-323, December.
  43. Andrén , Daniela & Andrén, Thomas, 2002. "Assessing the Employment Effects of Labor Market Training Programs in Sweden," Working Papers in Economics 70, University of Gothenburg, Department of Economics.
  44. Pedro Carneiro & Sokbae (Simon) Lee, 2005. "Ability, sorting and wage inequality," CeMMAP working papers CWP16/05, Centre for Microdata Methods and Practice, Institute for Fiscal Studies.
  45. Anders Forslund & Oskar Nordström Stans, 2006. "Swedish Youth Labour Market Policies Revisited," Vierteljahrshefte zur Wirtschaftsforschung / Quarterly Journal of Economic Research, DIW Berlin, German Institute for Economic Research, vol. 75(3), pages 168-185.
  46. James J. Heckman & Jeffrey A. Smith, 1999. "The Pre-Program Earnings Dip and the Determinants of Participation in a Social Program: Implications for Simple Program Evaluation Strategies," NBER Working Papers 6983, National Bureau of Economic Research, Inc.
  47. Rihab BELLAKHAL & Mohamed-Badrane MAHJOUB, 2010. "Estimating the Impact of Tunisian Training Programs on Wage, Using a Simultaneous Equations Model with Self-Selectivity," EcoMod2010 259600023, EcoMod.
  48. Alec Brandon & Paul J. Ferraro & John A. List & Robert D. Metcalfe & Michael K. Price & Florian Rundhammer, 2017. "Do The Effects of Nudges Persist? Theory and Evidence from 38 Natural Field Experiments," NBER Working Papers 23277, National Bureau of Economic Research, Inc.
  49. J. Stoye, 2009. "Charles F. Manski, Identification for Prediction and Decision (Harvard University Press 2007)," Journal of Applied Econometrics, John Wiley & Sons, Ltd., vol. 24(5), pages 857-862.
  50. Djebbari, Habiba & Smith, Jeffrey, 2008. "Heterogeneous impacts in PROGRESA," Journal of Econometrics, Elsevier, vol. 145(1-2), pages 64-80, July.
  51. Anirban Basu & James J. Heckman & Salvador Navarro-Lozano & Sergio Urzua, 2007. "Use of instrumental variables in the presence of heterogeneity and self-selection: an application to treatments of breast cancer patients," Health Economics, John Wiley & Sons, Ltd., vol. 16(11), pages 1133-1157.
  52. Burlacu, Irina & O'Donoghue, Cathal, 2012. "Differential welfare state impacts for frontier working age families," MERIT Working Papers 2012-061, United Nations University - Maastricht Economic and Social Research Institute on Innovation and Technology (MERIT).
  53. Cristian Aedo, "undated". "The Impact of Training Policies in Latin America and the Caribbean: The Case of "Programa Joven"," ILADES-UAH Working Papers inv131, Universidad Alberto Hurtado/School of Economics and Business.
  54. Pedro Carneiro & Karsten T. Hansen & James J. Heckman, 2003. "Estimating Distributions of Treatment Effects with an Application to the Returns to Schooling and Measurement of the Effects of Uncertainty on College," NBER Working Papers 9546, National Bureau of Economic Research, Inc.
  55. Pedro Carneiro & Karsten T. Hansen & James J. Heckman, 2002. "Removing the Veil of Ignorance in Assessing the Distributional Impacts of Social Policies," NBER Working Papers 8840, National Bureau of Economic Research, Inc.
  56. Cunha, Flavio & Heckman, James J., 2007. "Identifying and Estimating the Distributions of Ex Post and Ex Ante Returns to Schooling," Labour Economics, Elsevier, vol. 14(6), pages 870-893, December.
  57. Sianesi, Barbara, 2017. "Evidence of randomisation bias in a large-scale social experiment: The case of ERA," Journal of Econometrics, Elsevier, vol. 198(1), pages 41-64.
  58. Carneiro, Pedro & Heckman, James J., 2003. "Human Capital Policy," IZA Discussion Papers 821, Institute of Labor Economics (IZA).
  59. Xiaohong Chen & James J. Heckman & Edward Vytlacil, 2000. "Identification and SQRT N Efficient Estimation of Semiparametric Panel Data Models with Binary Dependent Variables and a Latent Factor," Econometric Society World Congress 2000 Contributed Papers 1567, Econometric Society.
  60. Yonatan Eyal, 2010. "Examination of the Empirical Research Environment of Program Evaluation: Methodology and Application," Evaluation Review, , vol. 34(6), pages 455-486, December.
  61. Víctor Elías & Fernanda Ruiz Núñez & Ricardo Cossa & David Bravo, 2004. "An Econometric Cost-Benefit Analysis of Argentina's Youth Training Program," Research Department Publications 3174, Inter-American Development Bank, Research Department.
  62. Paul. B. Kenfac Dongmezo & P. N. Mwita & I. R. Kamga Tchwaket, 2018. "Distributive and Quantile Treatment Effects: Imputation Based Estimators Approach," Journal of Statistical and Econometric Methods, SCIENPRESS Ltd, vol. 7(2), pages 1-3.
  63. James J. Heckman & Justin L. Tobias & Edward Vytlacil, 2000. "Simple Estimators for Treatment Parameters in a Latent Variable Framework with an Application to Estimating the Returns to Schooling," NBER Working Papers 7950, National Bureau of Economic Research, Inc.
  64. Anirban Basu & James J. Heckman & Salvador Navarro-Lozano & Sergio Urzua, 2007. "Use of instrumental variables in the presence of heterogeneity and self-selection: An application in breast cancer patients," Health, Econometrics and Data Group (HEDG) Working Papers 07/07, HEDG, c/o Department of Economics, University of York.
  65. James J. Heckman, 2000. "Causal Parameters and Policy Analysis in Economics: A Twentieth Century Retrospective," The Quarterly Journal of Economics, President and Fellows of Harvard College, vol. 115(1), pages 45-97.
  66. Jaap Abbring & James Heckman, 2008. "Dynamic policy analysis," CeMMAP working papers CWP05/08, Centre for Microdata Methods and Practice, Institute for Fiscal Studies.
  67. Flavio Cunha & James Heckman & Salvador Navarro, 2005. "Separating uncertainty from heterogeneity in life cycle earnings," Oxford Economic Papers, Oxford University Press, vol. 57(2), pages 191-261, April.
  68. Dehejia, Rajeev H., 2005. "Program evaluation as a decision problem," Journal of Econometrics, Elsevier, vol. 125(1-2), pages 141-173.
  69. Yuehao Bai & Shunzhuang Huang & Sarah Moon & Andres Santos & Azeem M. Shaikh & Edward J. Vytlacil, 2024. "Inference for Treatment Effects Conditional on Generalized Principal Strata using Instrumental Variables," Papers 2411.05220, arXiv.org.
  70. Firpo, Sergio & Ridder, Geert, 2019. "Partial identification of the treatment effect distribution and its functionals," Journal of Econometrics, Elsevier, vol. 213(1), pages 210-234.
  71. Heckman, James J., 2001. "Econometrics and empirical economics," Journal of Econometrics, Elsevier, vol. 100(1), pages 3-5, January.
  72. Basu, A & Polsky, D & Manning, W G, 2008. "Use of propensity scores in non-linear response models: The case for health care expenditures," Health, Econometrics and Data Group (HEDG) Working Papers 08/11, HEDG, c/o Department of Economics, University of York.
  73. Cristian Aedo & Sergio Nuñez, 2004. "The Impact of Training Policies in Latin America and the Caribbean: The Case of Programa Joven," Research Department Publications 3175, Inter-American Development Bank, Research Department.
  74. Anirban Basu & James J. Heckman & Salvador Navarro‐Lozano & Sergio Urzua, 2007. "Use of instrumental variables in the presence of heterogeneity and self‐selection: an application to treatments of breast cancer patients," Health Economics, John Wiley & Sons, Ltd., vol. 16(11), pages 1133-1157, November.
  75. Athey, Susan. & Stern, Scott, 1969-, 1998. "An empirical framework for testing theories about complementarity in orgaziational design," Working papers WP 4022-98., Massachusetts Institute of Technology (MIT), Sloan School of Management.
  76. James J. Heckman, 2005. "Micro Data, Heterogeneity and the Evaluation of Public Policy Part 2," The American Economist, Sage Publications, vol. 49(1), pages 16-44, March.
  77. Aakvik, Arild & Heckman, James J. & Vytlacil, Edward J., 2005. "Estimating treatment effects for discrete outcomes when responses to treatment vary: an application to Norwegian vocational rehabilitation programs," Journal of Econometrics, Elsevier, vol. 125(1-2), pages 15-51.
  78. Smith, Jeffrey A. & Whalley, Alexander & Wilcox, Nathaniel T., 2020. "Are Program Participants Good Evaluators?," IZA Discussion Papers 13584, Institute of Labor Economics (IZA).
  79. Stephan Thomsen, 2009. "Job Search Assistance Programs in Europe: Evaluation Methods and Recent Empirical Findings," FEMM Working Papers 09018, Otto-von-Guericke University Magdeburg, Faculty of Economics and Management.
  80. Edward Vytlacil & James J. Heckman, 2001. "Policy-Relevant Treatment Effects," American Economic Review, American Economic Association, vol. 91(2), pages 107-111, May.
  81. Philipp Eisenhauer & James J. Heckman & Edward Vytlacil, 2015. "The Generalized Roy Model and the Cost-Benefit Analysis of Social Programs," Journal of Political Economy, University of Chicago Press, vol. 123(2), pages 413-443.
  82. Robert J. LaLonde, 2003. "Employment and Training Programs," NBER Chapters, in: Means-Tested Transfer Programs in the United States, pages 517-586, National Bureau of Economic Research, Inc.
  83. Davies, Ryan J. & Kim, Sang Soo, 2009. "Using matched samples to test for differences in trade execution costs," Journal of Financial Markets, Elsevier, vol. 12(2), pages 173-202, May.
  84. Barbara Sianesi, 2014. "Dealing with randomisation bias in a social experiment: the case of ERA," IFS Working Papers W14/10, Institute for Fiscal Studies.
  85. James J. Heckman, 1995. "Instrumental Variables: A Cautionary Tale," NBER Technical Working Papers 0185, National Bureau of Economic Research, Inc.
  86. Judea Pearl, 2003. "Statistics and causal inference: A review," TEST: An Official Journal of the Spanish Society of Statistics and Operations Research, Springer;Sociedad de Estadística e Investigación Operativa, vol. 12(2), pages 281-345, December.
  87. Victor Aguirregabiria, 2005. "Another Look at the Identification of Dynamic Discrete Decision Processes," Econometrics 0504006, University Library of Munich, Germany.
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