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Estimating treatment effects for discrete outcomes when responses to treatment vary: an application to Norwegian vocational rehabilitation programs

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  • Aakvik, Arild
  • Heckman, James J.
  • Vytlacil, Edward J.

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Bibliographic Info

Article provided by Elsevier in its journal Journal of Econometrics.

Volume (Year): 125 (2005)
Issue (Month): 1-2 ()
Pages: 15-51

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Handle: RePEc:eee:econom:v:125:y:2005:i:1-2:p:15-51

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Web page: http://www.elsevier.com/locate/jeconom

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References

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Please report citation or reference errors to , or , if you are the registered author of the cited work, log in to your RePEc Author Service profile, click on "citations" and make appropriate adjustments.:
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  1. Poirier, Dale J., 1980. "Partial observability in bivariate probit models," Journal of Econometrics, Elsevier, vol. 12(2), pages 209-217, February.
  2. Markus Frölich & Almas Heshmati & Michael Lechner, 2004. "A microeconometric evaluation of rehabilitation of long-term sickness in Sweden," Journal of Applied Econometrics, John Wiley & Sons, Ltd., vol. 19(3), pages 375-396.
  3. James Heckman & Carolyn Heinrich & Jeffrey Smith, 2002. "The Performance of Performance Standards," NBER Working Papers 9002, National Bureau of Economic Research, Inc.
  4. 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).
  5. Ridder, G, 1986. "An Event History Approach to the Evaluation of Training, Recruitment and Employment Programmes," Journal of Applied Econometrics, John Wiley & Sons, Ltd., vol. 1(2), pages 109-26, April.
  6. Butler, J S & Moffitt, Robert, 1982. "A Computationally Efficient Quadrature Procedure for the One-Factor Multinomial Probit Model," Econometrica, Econometric Society, vol. 50(3), pages 761-64, May.
  7. Heckman, James J. & Robb, Richard Jr., 1985. "Alternative methods for evaluating the impact of interventions : An overview," Journal of Econometrics, Elsevier, vol. 30(1-2), pages 239-267.
  8. Gary Burtless, 1995. "The Case for Randomized Field Trials in Economic and Policy Research," Journal of Economic Perspectives, American Economic Association, vol. 9(2), pages 63-84, Spring.
  9. Heckman, James J & Lochner, Lance & Taber, Christopher, 1998. "General-Equilibrium Treatment Effects: A Study of Tuition Policy," American Economic Review, American Economic Association, vol. 88(2), pages 381-86, May.
  10. Heckman, James J. & Navarro, Salvador, 2003. "Using Matching, Instrumental Variables and Control Functions to Estimate Economic Choice Models," IZA Discussion Papers 768, Institute for the Study of Labor (IZA).
  11. 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.
  12. James Heckman & Hidehiko Ichimura & Jeffrey Smith & Petra Todd, 1998. "Characterizing Selection Bias Using Experimental Data," NBER Working Papers 6699, National Bureau of Economic Research, Inc.
  13. Robert S. Gay & Michael E. Borus, 1980. "Validating Performance Indicators for Employment and Training Programs," Journal of Human Resources, University of Wisconsin Press, vol. 15(1), pages 29-48.
  14. Aakvik, Arild, 2001. " Bounding a Matching Estimator: The Case of a Norwegian Training Program," Oxford Bulletin of Economics and Statistics, Department of Economics, University of Oxford, vol. 63(1), pages 115-43, February.
  15. James J. Heckman, 1989. "Choosing Among Alternative Nonexperimental Methods for Estimating the Impact of Social Programs: The Case of Manpower Training," NBER Working Papers 2861, National Bureau of Economic Research, Inc.
  16. James J. Heckman & Jeffrey A. Smith, 1998. "Evaluating the Welfare State," NBER Working Papers 6542, National Bureau of Economic Research, Inc.
  17. Imbens, Guido W & Angrist, Joshua D, 1994. "Identification and Estimation of Local Average Treatment Effects," Econometrica, Econometric Society, vol. 62(2), pages 467-75, March.
  18. David Card & Daniel Sullivan, 1987. "Measuring the Effect of Subsidized Training Programs on Movements In andOut of Employment," NBER Working Papers 2173, National Bureau of Economic Research, Inc.
  19. James Heckman & Justin L. Tobias & Edward Vytlacil, 2003. "Simple Estimators for Treatment Parameters in a Latent-Variable Framework," The Review of Economics and Statistics, MIT Press, vol. 85(3), pages 748-755, August.
  20. Angrist, Joshua D & Graddy, Kathryn & Imbens, Guido W, 2000. "The Interpretation of Instrumental Variables Estimators in Simultaneous Equations Models with an Application to the Demand for Fish," Review of Economic Studies, Wiley Blackwell, vol. 67(3), pages 499-527, July.
  21. 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.
  22. Matzkin, Rosa L, 1992. "Nonparametric and Distribution-Free Estimation of the Binary Threshold Crossing and the Binary Choice Models," Econometrica, Econometric Society, vol. 60(2), pages 239-70, March.
  23. Heckman, James J & Ichimura, Hidehiko & Todd, Petra E, 1997. "Matching as an Econometric Evaluation Estimator: Evidence from Evaluating a Job Training Programme," Review of Economic Studies, Wiley Blackwell, vol. 64(4), pages 605-54, October.
  24. Burt S. Barnow, 1987. "The Impact of CETA Programs on Earnings: A Review of the Literature," Journal of Human Resources, University of Wisconsin Press, vol. 22(2), pages 157-193.
  25. Gritz, R. Mark, 1993. "The impact of training on the frequency and duration of employment," Journal of Econometrics, Elsevier, vol. 57(1-3), pages 21-51.
  26. Laurie J. Bassi, 1983. "The Effect of CETA on the Postprogram Earnings of Participants," Journal of Human Resources, University of Wisconsin Press, vol. 18(4), pages 539-556.
  27. Heckman, James J & Honore, Bo E, 1990. "The Empirical Content of the Roy Model," Econometrica, Econometric Society, vol. 58(5), pages 1121-49, September.
  28. Heckman, James J, 1990. "Varieties of Selection Bias," American Economic Review, American Economic Association, vol. 80(2), pages 313-18, May.
  29. James J. Heckman & Jeffrey A. Smith, 1995. "Assessing the Case for Social Experiments," Journal of Economic Perspectives, American Economic Association, vol. 9(2), pages 85-110, Spring.
  30. Todd, Petra, 2001. "Estimations of Limited Dependent Variable Models with Dummy Endogenous Regressors: Simple Strategies for Empirical Practice: Comment," Journal of Business & Economic Statistics, American Statistical Association, vol. 19(1), pages 25-27, January.
  31. Kathryn Anderson & Richard V. Burkhauser & Jennie E. Raymond, 1993. "The effect of creaming on placement rates under the Job Training Partnership Act," Industrial and Labor Relations Review, ILR Review, Cornell University, ILR School, vol. 46(4), pages 613-624, July.
  32. Heckman, James J. & Vytlacil, Edward J., 2000. "The relationship between treatment parameters within a latent variable framework," Economics Letters, Elsevier, vol. 66(1), pages 33-39, January.
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