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Specification and Simulated Likelihood Estimation of a Non-normal Outcome Model with Selection: Application to Health Care Utilization

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Author Info
Partha Deb () (Hunter College, Department of Economics)
Pravin K. Trivedi

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Abstract

We develop a model specification and estimation framework that is applicable to many microeconometric models which fall into a treatment-outcome framework. We apply our methodology to examine the causal effect of man-aged care on the utilization of health care services. Specifically, we jointly model multinomial choice of insurance plans (treatment) and counts and binary choices of utilization (outcome) using a latent factor structure, enabling a distinction between selection on unobservables and observables. We apply maximum simulated likelihood techniques to estimate the parameters of our model and find that there are significant unobserved self-selection effects and that these effects substantially change the effects of insurance on utilization.

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File URL: http://arrow.hunter.cuny.edu/research/papers/HunterEconWP02-5.pdf
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Paper provided by Hunter College: Department of Economics in its series Hunter College Department of Economics Working Papers with number 02/5.

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Length: 35 pages
Date of creation: 2002
Date of revision: 2004
Handle: RePEc:htr:hcecon:02/5

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  1. Lee, Lung-Fei, 1983. "Generalized Econometric Models with Selectivity," Econometrica, Econometric Society, vol. 51(2), pages 507-12, March. [Downloadable!] (restricted)
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  11. Ettner, Susan L., 1997. "Adverse selection and the purchase of Medigap insurance by the elderly," Journal of Health Economics, Elsevier, vol. 16(5), pages 543-562, October. [Downloadable!] (restricted)
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  15. Brownstone, David & Train, Kenneth, 1998. "Forecasting new product penetration with flexible substitution patterns," Journal of Econometrics, Elsevier, vol. 89(1-2), pages 109-129, November. [Downloadable!] (restricted)
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  19. Dowd, Bryan, et al, 1991. "Health Plan Choice and the Utilization of Health Care Services," The Review of Economics and Statistics, MIT Press, vol. 73(1), pages 85-93, February. [Downloadable!] (restricted)
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  21. van Ophem, Hans, 2000. "Modeling Selectivity in Count-Data Models," Journal of Business & Economic Statistics, American Statistical Association, vol. 18(4), pages 503-11, October.
  22. Terza, Joseph V., 1998. "Estimating count data models with endogenous switching: Sample selection and endogenous treatment effects," Journal of Econometrics, Elsevier, vol. 84(1), pages 129-154, May. [Downloadable!] (restricted)
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