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Honoring James Heckman's Contributions to Economics: Identification, Heterogeneity, and Economic Models

  • Steven D. Levitt

Extract

Given James Heckman's enormous contributions to the field of economics and the social sciences more generally, the question regarding the Nobel prize was not “if,” but “when.” The choice of Heckman as the 2000 Nobel laureate (joint with Daniel McFadden, another deserving winner) has been warmly received throughout the profession. Heckman and McFadden were both pioneers whose work helped to create modern empirical economics.

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References

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Donohue, John, and Heckman., James J. 1991. Continuous vs. Episodic Change: The Impact of Affirmative Action and Civil Rights Policy on the Economic Status of Blacks. Journal of Economic Literature 29 (4): 1603–43.
Ekeland, Ivar, Heckman, James J., and Nesheim, Lars. 2001. Identifying Preferences and Technolog. In the Hedonic Model Using All of the Economic Implications of the Model. Manuscript. Chicago: University of Chicago Press.
Flinn, Christopher, and Heckman, James J. 1982. New Methods for Analyzing Structural Models of Labor Force Dynamics. Journal of Econometrics 18 (Jan.): 115–68.
Heckman, James J. 1978. Dummy Endogenous Variables in a Simultaneous Equations System. Econometrica 46 (4): 931–59.
Heckman, James. J. 1979. Sample Selection Bias as a Specification Error. Econometrica 47 (Feb.): 153–61.
Heckman, James J. 1997. Instrumental Variables: A Study of Implicit Behavioral Assumptions in One Widely Used Estimator. Journal of Human Resources 32 (3): 441–61.
Heckman, James J. 2000. Causal Parameters and Policy Analysis: A 20th Century Retrospective. Quarterly Journal of Economics, February, 4597.
Heckman, James J. 2001. Microdata, Heterogeneity, and the Evaluation of Public Policy. Journal of Political Economy 109 (4): 673748.
Heckman, James J., and Honore, Bo. 1990. The Empirical Content of the Roy Model. Econometrica 58 (5): 1121–49.
Heckman, James J., and Hotz, Joe. 1989. Choosing among Alternative Methods of Estimating the Impact of Social Programs: The Case of Manpower Training. Journal of the American Statistical Association 84: 862–74.
Heckman, James J., LaLonde, Robert, and Smith, Jeffrey. 1999. The Economics and Econometrics of Active Labor Market Programs. In Handbook of Labor Economics, ed. Ashenfelter, Orley and Card, David, ch. 31. Amsterdam: North Holland.
Heckman, James J., Lochner, Lance, and Taber, Christopher. 1998. General Equilibrium Treatment Effects: A Study of Tuition Policy. American Economic Review 88 (2): 381–86.
Heckman, James J., and Payner, B. 1989. Determining the Impact of Federal Antidiscrimination Policy on the Economic Status of Blacks: A Study of South Carolina. American Economic Review 79 (1): 138–77.
Heckman, James J., and Robb, Richard. 1985. Alternative Methods for Evaluating the Impact of Interventions: An Overview. Journal of Econometrics 30 (1-2): 239–67.
Heckman, James J., and Siegelman, Peter. 1993. The Urban Institute Audit Studies: Their Methods and Findings. In Clear and Convincing Evidence: Measurement of Discrimination in America, ed. Fix, Michael and Struyk, Raymond. Washington, D. C.: Urban Institute Press.
Heckman, James, and Singer, Burton. 1984. A Method for Minimizing the Impact of Distributional Assumption in Econometric Models for Duration Data. Econometrica 54 (Mar.): 271320.
Heckman, James, and Smith, Jeffrey. 1995. Evaluating the Case for Randomized Social Experiments. Journal of Economic Perspectives 9 (Spring): 85100.
Heckman, James, and Vytlacil, Edward. 1999. Local Instrumental Variables and Latent Variable Models for Identifying and Bounding Treatment Effects. Proceedings: National Academy of Sciences 96: 4730–34.
Heckman, James, and Vytlacil, Edward. Forthcoming 2001. Structural Equations, Treatment Effects, and Econometric Policy Evaluation. Econometrica.

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