A discrete random effects probit model with application to the demand for preventive care
I have developed a random effects probit model in which the distribution of the random intercept is approximated by a discrete density. Monte Carlo results show that only three to four points of support are required for the discrete density to closely mimic normal and chi-squared densities and provide unbiased estimates of the structural parameters and the variance of the random intercept. The empirical application shows that both observed family characteristics and unobserved family-level heterogeneity are important determinants of the demand for preventive care. Copyright © 2001 John Wiley & Sons, Ltd.
Volume (Year): 10 (2001)
Issue (Month): 5 ()
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- 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.
- Borjas, George J. & Sueyoshi, Glenn T., 1994. "A two-stage estimator for probit models with structural group effects," Journal of Econometrics, Elsevier, vol. 64(1-2), pages 165-182.
- Keane, Michael, 1993. "Simulation estimation for panel data models with limited dependent variables," MPRA Paper 53029, University Library of Munich, Germany.
- Kim, Byung-Do & Blattberg, Robert C & Rossi, Peter E, 1995. "Modeling the Distribution of Price Sensitivity and Implications for Optimal Retail Pricing," Journal of Business & Economic Statistics, American Statistical Association, vol. 13(3), pages 291-303, July.
- Goffe, William L. & Ferrier, Gary D. & Rogers, John, 1994. "Global optimization of statistical functions with simulated annealing," Journal of Econometrics, Elsevier, vol. 60(1-2), pages 65-99.
- 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.
- Lee, Lung-fei, 2000.
"A numerically stable quadrature procedure for the one-factor random-component discrete choice model,"
Journal of Econometrics,
Elsevier, vol. 95(1), pages 117-129, March.
- Lung-fei Lee, . "A Numerically Stable Quadrature Procedure for the One-Factor Random Component Discrete Choice Model," Computing in Economics and Finance 1997 158, Society for Computational Economics.
- Pudney, Stephen & Galassi, Francesco L & Mealli, Fabrizia, 1998. "An Econometric Model of Farm Tenures in Fifteenth-Century Florence," Economica, London School of Economics and Political Science, vol. 65(260), pages 535-56, November.
- Jain, Dipak C & Vilcassim, Naufel J & Chintagunta, Pradeep K, 1994. "A Random-Coefficients Logit Brand-Choice Model Applied to Panel Data," Journal of Business & Economic Statistics, American Statistical Association, vol. 12(3), pages 317-28, July.
- Deb, Partha & Trivedi, Pravin K., 2002. "The structure of demand for health care: latent class versus two-part models," Journal of Health Economics, Elsevier, vol. 21(4), pages 601-625, July.
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