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Building Bridges between Structural and Program Evaluation Approaches to Evaluating Policy

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  • James J. Heckman

Abstract

This paper compares the structural approach to economic policy analysis with the program evaluation approach. It offers a third way to do policy analysis that combines the best features of both approaches. I illustrate the value of this alternative approach by making the implicit economics of LATE explicit, thereby extending the interpretability and range of policy questions that LATE can answer. (JEL C21, E61)

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File URL: http://www.aeaweb.org/articles.php?doi=10.1257/jel.48.2.356
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Bibliographic Info

Article provided by American Economic Association in its journal Journal of Economic Literature.

Volume (Year): 48 (2010)
Issue (Month): 2 (June)
Pages: 356-98

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Handle: RePEc:aea:jeclit:v:48:y:2010:i:2:p:356-98

Note: DOI: 10.1257/jel.48.2.356
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  1. Victor Aguirregabiria & Pedro mira, 2007. "Dynamic Discrete Choice Structural Models: A Survey," Working Papers tecipa-297, University of Toronto, Department of Economics.
  2. James J. Heckman, 2001. "Micro Data, Heterogeneity, and the Evaluation of Public Policy: Nobel Lecture," Journal of Political Economy, University of Chicago Press, University of Chicago Press, vol. 109(4), pages 673-748, August.
  3. David Card, 2000. "Estimating the Return to Schooling: Progress on Some Persistent Econometric Problems," NBER Working Papers 7769, National Bureau of Economic Research, Inc.
  4. Heckman, James J. & Urzua, Sergio & Vytlacil, Edward, 2006. "Understanding Instrumental Variables in Models with Essential Heterogeneity," IZA Discussion Papers 2320, Institute for the Study of Labor (IZA).
  5. 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 for the Study of Labor (IZA).
  6. Francis Vella, 1998. "Estimating Models with Sample Selection Bias: A Survey," Journal of Human Resources, University of Wisconsin Press, vol. 33(1), pages 127-169.
  7. Matzkin, Rosa L, 1992. "Nonparametric and Distribution-Free Estimation of the Binary Threshold Crossing and the Binary Choice Models," Econometrica, Econometric Society, Econometric Society, vol. 60(2), pages 239-70, March.
  8. Liran Einav & Jonathan D. Levin, 2010. "Empirical Industrial Organization: A Progress Report," NBER Working Papers 15786, National Bureau of Economic Research, Inc.
  9. Guido Imbens & Jeffrey Wooldridge, 2008. "Recent developments in the econometrics of program evaluation," CeMMAP working papers, Centre for Microdata Methods and Practice, Institute for Fiscal Studies CWP24/08, Centre for Microdata Methods and Practice, Institute for Fiscal Studies.
  10. Elie Tamer, 2003. "Incomplete Simultaneous Discrete Response Model with Multiple Equilibria," Review of Economic Studies, Wiley Blackwell, Wiley Blackwell, vol. 70(1), pages 147-165, January.
  11. James L. Heckman, 1999. "Causal Parameters and Policy Analysis in Economcs: A Twentieth Century Retrospective," NBER Working Papers 7333, National Bureau of Economic Research, Inc.
  12. James J. Heckman & Lance Lochner & Christopher Taber, 1998. "Tax Policy and Human Capital Formation," NBER Working Papers 6462, National Bureau of Economic Research, Inc.
  13. James Heckman & Sergio Urzua, 2010. "Comparing IV with structural models: what simple IV can and cannot identify," CeMMAP working papers, Centre for Microdata Methods and Practice, Institute for Fiscal Studies CWP08/10, Centre for Microdata Methods and Practice, Institute for Fiscal Studies.
  14. Elie Tamer, 2003. "Incomplete Simultaneous Discrete Response Model with Multiple Equilibria," Review of Economic Studies, Oxford University Press, vol. 70(1), pages 147-165.
  15. Carneiro, Pedro & Heckman, James J. & Vytlacil, Edward, 2009. "Evaluating Marginal Policy Changes and the Average Effect of Treatment for Individuals at the Margin," IZA Discussion Papers 4324, Institute for the Study of Labor (IZA).
  16. Poirier, Dale J., 1980. "Partial observability in bivariate probit models," Journal of Econometrics, Elsevier, Elsevier, vol. 12(2), pages 209-217, February.
  17. James Heckman, 1997. "Instrumental Variables: A Study of Implicit Behavioral Assumptions Used in Making Program Evaluations," Journal of Human Resources, University of Wisconsin Press, vol. 32(3), pages 441-462.
  18. Joshua Angrist & Jörn-Steffen Pischke, 2010. "The Credibility Revolution in Empirical Economics: How Better Research Design is Taking the Con out of Econometrics," NBER Working Papers 15794, National Bureau of Economic Research, Inc.
  19. Ahn, Hyungtaik & Powell, James L., 1993. "Semiparametric estimation of censored selection models with a nonparametric selection mechanism," Journal of Econometrics, Elsevier, Elsevier, vol. 58(1-2), pages 3-29, July.
  20. Joshua D. Angrist & Guido W. Imbens, 1995. "Identification and Estimation of Local Average Treatment Effects," NBER Technical Working Papers 0118, National Bureau of Economic Research, Inc.
  21. Klein, Roger W & Spady, Richard H, 1993. "An Efficient Semiparametric Estimator for Binary Response Models," Econometrica, Econometric Society, Econometric Society, vol. 61(2), pages 387-421, March.
  22. Manski, C.F., 1991. "Identification of Endogenous Social Effects: the Reflection Problem," Working papers, Wisconsin Madison - Social Systems 9127, Wisconsin Madison - Social Systems.
  23. Heckman, James J, 1974. "Shadow Prices, Market Wages, and Labor Supply," Econometrica, Econometric Society, Econometric Society, vol. 42(4), pages 679-94, July.
  24. Hausman, Jerry A, 1978. "Specification Tests in Econometrics," Econometrica, Econometric Society, Econometric Society, vol. 46(6), pages 1251-71, November.
  25. Edward E. Leamer, 2010. "Tantalus on the Road to Asymptopia," Journal of Economic Perspectives, American Economic Association, American Economic Association, vol. 24(2), pages 31-46, Spring.
  26. Heckman, James J, 1996. "Randomization as an Instrumental Variable: Notes," The Review of Economics and Statistics, MIT Press, vol. 78(2), pages 336-41, May.
  27. James H. Stock, 2010. "The Other Transformation in Econometric Practice: Robust Tools for Inference," Journal of Economic Perspectives, American Economic Association, American Economic Association, vol. 24(2), pages 83-94, Spring.
  28. James J. Heckman & Jeffrey A. Smith, 1995. "Assessing the Case for Social Experiments," Journal of Economic Perspectives, American Economic Association, American Economic Association, vol. 9(2), pages 85-110, Spring.
  29. Matzkin, Rosa L., 1993. "Nonparametric identification and estimation of polychotomous choice models," Journal of Econometrics, Elsevier, Elsevier, vol. 58(1-2), pages 137-168, July.
  30. Granger, C W J, 1969. "Investigating Causal Relations by Econometric Models and Cross-Spectral Methods," Econometrica, Econometric Society, Econometric Society, vol. 37(3), pages 424-38, July.
  31. Schennach, Susanne & White, Halbert & Chalak, Karim, 2012. "Local indirect least squares and average marginal effects in nonseparable structural systems," Journal of Econometrics, Elsevier, Elsevier, vol. 166(2), pages 282-302.
  32. Sims, Christopher A, 1972. "Money, Income, and Causality," American Economic Review, American Economic Association, American Economic Association, vol. 62(4), pages 540-52, September.
  33. Heckman, J.J. & Hotz, V.J., 1988. "Choosing Among Alternative Nonexperimental Methods For Estimating The Impact Of Social Programs: The Case Of Manpower Training," University of Chicago - Economics Research Center, Chicago - Economics Research Center 88-12, Chicago - Economics Research Center.
  34. Kenneth I. Wolpin & Petra E. Todd, 2006. "Assessing the Impact of a School Subsidy Program in Mexico: Using a Social Experiment to Validate a Dynamic Behavioral Model of Child Schooling and Fertility," American Economic Review, American Economic Association, American Economic Association, vol. 96(5), pages 1384-1417, December.
  35. Finn E. Kydland & Edward C. Prescott, 1996. "The Computational Experiment: An Econometric Tool," Journal of Economic Perspectives, American Economic Association, American Economic Association, vol. 10(1), pages 69-85, Winter.
  36. Susanne Schennach & Halbert White & Karim Chalak, 2007. "Estimating average marginal effects in nonseparable structural systems," CeMMAP working papers, Centre for Microdata Methods and Practice, Institute for Fiscal Studies CWP31/07, Centre for Microdata Methods and Practice, Institute for Fiscal Studies.
  37. James J. Heckman & Lance Lochner & Christopher Taber, 1998. "Explaining Rising Wage Inequality: Explorations with a Dynamic General Equilibrium Model of Labor Earnings with Heterogeneous Agents," NBER Working Papers 6384, National Bureau of Economic Research, Inc.
  38. Heckman, James J. & Vytlacil, Edward J., 2000. "The relationship between treatment parameters within a latent variable framework," Economics Letters, Elsevier, Elsevier, vol. 66(1), pages 33-39, January.
  39. Christopher A. Sims, 1996. "Macroeconomics and Methodology," Journal of Economic Perspectives, American Economic Association, American Economic Association, vol. 10(1), pages 105-120, Winter.
  40. Christopher A. Sims, 2010. "But Economics Is Not an Experimental Science," Journal of Economic Perspectives, American Economic Association, American Economic Association, vol. 24(2), pages 59-68, Spring.
  41. Stephen V. Cameron & Christopher Taber, 2004. "Estimation of Educational Borrowing Constraints Using Returns to Schooling," Journal of Political Economy, University of Chicago Press, University of Chicago Press, vol. 112(1), pages 132-182, February.
  42. Marshall, Alfred, 1890. "The Principles of Economics," History of Economic Thought Books, McMaster University Archive for the History of Economic Thought, McMaster University Archive for the History of Economic Thought, number marshall1890.
  43. LaLonde, Robert J, 1986. "Evaluating the Econometric Evaluations of Training Programs with Experimental Data," American Economic Review, American Economic Association, American Economic Association, vol. 76(4), pages 604-20, September.
  44. Hahn, Jinyong & Todd, Petra & Van der Klaauw, Wilbert, 2001. "Identification and Estimation of Treatment Effects with a Regression-Discontinuity Design," Econometrica, Econometric Society, Econometric Society, vol. 69(1), pages 201-09, January.
  45. Aviv Nevo & Michael D. Whinston, 2010. "Taking the Dogma out of Econometrics: Structural Modeling and Credible Inference," Journal of Economic Perspectives, American Economic Association, American Economic Association, vol. 24(2), pages 69-82, Spring.
  46. Heckman, James J & Smith, Jeffrey, 1997. "Making the Most Out of Programme Evaluations and Social Experiments: Accounting for Heterogeneity in Programme Impacts," Review of Economic Studies, Wiley Blackwell, Wiley Blackwell, vol. 64(4), pages 487-535, October.
  47. Andrews, Donald W K & Schafgans, Marcia M A, 1998. "Semiparametric Estimation of the Intercept of a Sample Selection Model," Review of Economic Studies, Wiley Blackwell, Wiley Blackwell, vol. 65(3), pages 497-517, July.
  48. Edward Vytlacil, 2002. "Independence, Monotonicity, and Latent Index Models: An Equivalence Result," Econometrica, Econometric Society, Econometric Society, vol. 70(1), pages 331-341, January.
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