Testing the correlated random coefficient model

Journal of Econometrics

Volumn 158, Issue 2, 2010, Pages 177-203

  Heckman, James J ^a,b,c,d   Schmierer, Daniel ^a   Urzua, Sergio ^e  

^a UNIVERSITY OF CHICAGO   (United States)

^b UNIVERSITY COLLEGE DUBLIN   (Ireland)

^c YALE UNIVERSITY   (United States)

^d AMERICAN BAR FOUNDATION   (United States)

^e NORTHWESTERN UNIVERSITY   (United States)

Author keywords

Correlated random coefficient; Instrumental variables; Power of tests based on IV; Testing

Indexed keywords

EMPIRICAL PROBLEMS; INSTRUMENTAL VARIABLES; POWER OF TESTS BASED ON IV; PRE-TREATMENT; RANDOM COEFFICIENTS;

ESTIMATION;

EID: 77949843337     PISSN: 03044076     EISSN: None     Source Type: Journal    
DOI: 10.1016/j.jeconom.2010.01.005     Document Type: Article

References (31)

1. Abbring, J.H., Heckman, J.J., 2007. Econometric evaluation of social programs, part III: Distributional treatment effects, dynamic treatment effects, dynamic discrete choice, and general equilibrium policy evaluation. In: J. Heckman, E. Leamer (Eds.), Handbook of Econometrics, vol. 6B. Elsevier, Amsterdam, pp. 51455303.
2. H.J. Bierens Consistent model specification tests Journal of Econometrics 20 1 1982 105 134
3. H.J. Bierens A consistent conditional moment test of functional form Econometrica 58 6 1990 1443 1458
4. H.J. Bierens, and W. Ploberger Asymptotic theory of integrated conditional moment tests Econometrica 65 5 1997 1129 1151
5. A. Bjrklund, and R. Moffitt The estimation of wage gains and welfare gains in self-selection Review of Economics and Statistics 69 1 1987 42 49
6. Carneiro, P., Heckman, J.J., Vytlacil, E.J., 2009. Estimating marginal returns to education. American Economic Review (submitted for publication).
7. Z. Griliches Estimating the returns to schooling: Some econometric problems Econometrica 45 1 1977 1 22
8. K.T. Hansen, J.J. Heckman, and K.J. Mullen The effect of schooling and ability on achievement test scores Journal of Econometrics 121 12 2004 39 98
9. J.J. Heckman Micro data, heterogeneity, and the evaluation of public policy: Nobel lecture Journal of Political Economy 109 4 2001 673 748
10. J.J. Heckman, and R. Robb Alternative methods for evaluating the impact of interventions J. Heckman, B. Singer, Longitudinal Analysis of Labor Market Data, vol. 10 1985 Cambridge University Press New York 156 245
11. J.J. Heckman, S. Urzua, and E.J. Vytlacil Understanding instrumental variables in models with essential heterogeneity Review of Economics and Statistics 88 3 2006 389 432
12. J.J. Heckman, and E.J. Vytlacil Instrumental variables methods for the correlated random coefficient model: Estimating the average rate of return to schooling when the return is correlated with schooling Journal of Human Resources 33 4 1998 974 987
13. J.J. Heckman, and E.J. Vytlacil Local instrumental variables and latent variable models for identifying and bounding treatment effects Proceedings of the National Academy of Sciences 96 1999 4730 4734
14. J.J. Heckman, and E.J. Vytlacil Local instrumental variables C. Hsiao, K. Morimune, J.L. Powell, Nonlinear Statistical Modeling: Proceedings of the Thirteenth International Symposium in Economic Theory and Econometrics: Essays in Honor of Takeshi Amemiya 2001 Cambridge University Press New York 1 46
15. J.J. Heckman, and E.J. Vytlacil Structural equations, treatment effects and econometric policy evaluation Econometrica 73 3 2005 669 738
16. J.J. Heckman, and E.J. Vytlacil Econometric evaluation of social programs, part I: Causal models, structural models and econometric policy evaluation J. Heckman, E. Leamer, Handbook of Econometrics, vol. 6B 2007 Elsevier Amsterdam
17. J.J. Heckman, and E.J. Vytlacil Econometric evaluation of social programs, part II: Using the marginal treatment effect to organize alternative economic estimators to evaluate social programs and to forecast their effects in new environments J. Heckman, E. Leamer, Handbook of Econometrics, vol. 6B 2007 Elsevier Amsterdam
18. J.L. Horowitz, and V.G. Spokoiny An adaptive, rate-optimal test of a parametric mean-regression model against a nonparametric alternative Econometrica 69 3 2001 599 631
19. H. Ichimura, and P.E. Todd Implementing nonparametric and semiparametric estimators J. Heckman, E. Leamer, Handbook of Econometrics, vol. 6B 2007 Elsevier Amsterdam
20. G.W. Imbens, and J.D. Angrist Identification and estimation of local average treatment effects Econometrica 62 2 1994 467 475
21. R. Li, and L. Nie Efficient statistical inference procedures for partially nonlinear models and their applications Biometrics 64 3 2007 904 911
22. D. McFadden Conditional logit analysis of qualitative choice behavior P. Zarembka, Frontiers in Econometrics 1974 Academic Press New York
23. D. McFadden Econometric models of probabilistic choice C. Manski, D. McFadden, Structural Analysis of Discrete Data with Econometric Applications 1981 MIT Press Cambridge, MA
24. W.K. Newey Maximum likelihood specification testing and conditional moment tests Econometrica 53 5 1985 1047 1070
25. W.K. Newey Convergence rates and asymptotic normality for series estimators Journal of Econometrics 79 1 1997 147 168
26. R.E. Quandt The estimation of the parameters of a linear regression system obeying two separate regimes Journal of the American Statistical Association 53 284 1958 873 880
27. J.P. Romano, and A.M. Shaikh Stepup procedures for control of generalizations of the familywise error rate Annals of Statistics 34 4 2006 1850 1873
28. J.P. Romano, and M. Wolf Exact and approximate stepdown methods for multiple hypothesis testing Journal of the American Statistical Association 100 469 2005 94 108
29. L.L. Thurstone A law of comparative judgement Psychological Review 34 1927 273 286
30. E.J. Vytlacil Independence, monotonicity, and latent index models: An equivalence result Econometrica 70 1 2002 331 341
31. Yitzhaki, S., 1989. On using linear regression in welfare economics. Working Paper 217, Department of Economics, Hebrew University.