A Note on Estimated Coefficients in Random Effects Probit Models
This note points out to applied researchers what adjustments are needed to the coefficient estimates in a random effects probit model in order to make valid comparisons in terms of coefficient estimates and marginal effects across different specifications. These adjustments are necessary because of the normalization that is used by standard software in order to facilitate easy estimation of the random effects probit model.
|Date of creation:||1998|
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- Guilkey, David K. & Murphy, James L., 1993. "Estimation and testing in the random effects probit model," Journal of Econometrics, Elsevier, vol. 59(3), pages 301-317, October.
- 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.
- Wiji Arulampalam & Alison L. Booth, 1998. "Training and Labour Market Flexibility: Is There a Trade-off?," British Journal of Industrial Relations, London School of Economics, vol. 36(4), pages 521-536, December.
- G. S. Maddala, 1987. "Limited Dependent Variable Models Using Panel Data," Journal of Human Resources, University of Wisconsin Press, vol. 22(3), pages 307-338.
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