A two-stage estimator for probit models with structural group effects
AbstractThis paper outlines a two-stage technique for estimation and inference in probit models with structural group effects. The structural group specification belongs to a broader class of random components models. In particular, individuals in a given group share a common component in the specification of the conditional mean of a latent variable. For a number of computational reasons, existing random-effects models are impractical for estimation and inference in this type of problem. Our two-stage estimator provides an easily estimable alternative to the random effect specification. In addition, we conduct a Monte Carlo simulation comparing the performance of alternative estimators, and find that the two-stage estimator is superior -- both in terms of estimation and inference -- to traditional estimators.
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Bibliographic InfoArticle provided by Elsevier in its journal Journal of Econometrics.
Volume (Year): 64 (1994)
Issue (Month): 1-2 ()
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Web page: http://www.elsevier.com/locate/jeconom
Other versions of this item:
- George J. Borjas & Glenn T. Sueyoshi, 1993. "A Two-Stage Estimator for Probit Models with Structural Group Effects," NBER Technical Working Papers 0146, National Bureau of Economic Research, Inc.
- C23 - Mathematical and Quantitative Methods - - Single Equation Models; Single Variables - - - Models with Panel Data; Spatio-temporal Models
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- Blanchflower, David G & Oswald, Andrew J, 1990.
" The Wage Curve,"
Scandinavian Journal of Economics,
Wiley Blackwell, vol. 92(2), pages 215-35.
- Borjas, George J, 1987.
"Self-Selection and the Earnings of Immigrants,"
American Economic Review,
American Economic Association, vol. 77(4), pages 531-53, September.
- Borjas, George J, 1992.
"Ethnic Capital and Intergenerational Mobility,"
The Quarterly Journal of Economics,
MIT Press, vol. 107(1), pages 123-50, February.
- Moulton, Brent R., 1986. "Random group effects and the precision of regression estimates," Journal of Econometrics, Elsevier, vol. 32(3), pages 385-397, August.
- Hausman, Jerry A. & Taylor, William E., 1981.
"Panel data and unobservable individual effects,"
Journal of Econometrics,
Elsevier, vol. 16(1), pages 155-155, May.
- Chamberlain, Gary, 1980. "Analysis of Covariance with Qualitative Data," Review of Economic Studies, Wiley Blackwell, vol. 47(1), pages 225-38, January.
- James J. Heckman & Robert J. Willis, 1974.
"Estimation of a Stochastic Model of Reproduction: An Econometric Approach,"
NBER Working Papers
0034, National Bureau of Economic Research, Inc.
- James J. Heckman & Robert J. Willis, 1976. "Estimation of a Stochastic Model of Reproduction: An Econometric Approach," NBER Chapters, in: Household Production and Consumption, pages 99-146 National Bureau of Economic Research, Inc.
- Robinson, Peter M, 1982. "On the Asymptotic Properties of Estimators of Models Containing Limited Dependent Variables," Econometrica, Econometric Society, vol. 50(1), pages 27-41, January.
- Hsiao,Cheng, 2003.
"Analysis of Panel Data,"
Cambridge University Press, number 9780521522717, October.
- Amemiya, Takeshi, 1978. "A Note on a Random Coefficients Model," International Economic Review, Department of Economics, University of Pennsylvania and Osaka University Institute of Social and Economic Research Association, vol. 19(3), pages 793-96, October.
- Chamberlain, Gary, 1984. "Panel data," Handbook of Econometrics, in: Z. Griliches† & M. D. Intriligator (ed.), Handbook of Econometrics, edition 1, volume 2, chapter 22, pages 1247-1318 Elsevier.
- Avery, Robert B & Hansen, Lars Peter & Hotz, V Joseph, 1983. "Multiperiod Probit Models and Orthogonality Condition Estimation," International Economic Review, Department of Economics, University of Pennsylvania and Osaka University Institute of Social and Economic Research Association, vol. 24(1), pages 21-35, February.
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