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An Econometric Analysis of Veterans Health Care Utilization Using Two-part Models

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Author Info
Kajal Lahiri
Guibo Xing

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Abstract

Based on 1992 US National Survey of Veterans, we analyzed the nature of veterans' inpatient and outpatient health care utilization by estimating a count data two-part hurdle model. We also identified factors that affect veterans' choices between VA and non- VA health care facilities, using a bivariate probit model. Not surprisingly, we found that health condition measurers are the most important factors in determining veterans' health care utilization. Gender, income and health insurance are also significant. Family income is the most important factor which affect veterans' health facility choice decision. Veterans with lower income, without health insurance coverage, or those living near VA health care facilities are more likely to use VA health care system than others. Most of the demographic characteristics are not significant.

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Paper provided by University at Albany, SUNY, Department of Economics in its series Discussion Papers with number 01-13.

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Date of creation: 2001
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Handle: RePEc:nya:albaec:01-13

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Postal: Department of Economics, BA 110 University at Albany State University of New York Albany, NY 12222 U.S.A.
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Postal: Department of Economics, BA 110 University at Albany State University of New York Albany, NY 12222 U.S.A.
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Related research
Keywords: Veterans' Administration; National Survey of Veterans; Hurdle Model; Negative Binomial Count Data Model; Bivariate Probit; Inpatient and Outpatient Care;

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References listed on IDEAS
Please report citation or reference errors to , or , if you are the registered author of the cited work, log in to your RePEc Author Service profile, click on "citations" and make appropriate adjustments.:
  1. Dwyer, Debra Sabatini & Mitchell, Olivia S., 1999. "Health problems as determinants of retirement: Are self-rated measures endogenous?," Journal of Health Economics, Elsevier, vol. 18(2), pages 173-193, April. [Downloadable!] (restricted)
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  2. Cameron, A Colin & Trivedi, Pravin K, 1986. "Econometric Models Based on Count Data: Comparisons and Applications of Some Estimators and Tests," Journal of Applied Econometrics, John Wiley & Sons, Ltd., vol. 1(1), pages 29-53, January. [Downloadable!] (restricted)
  3. Mullahy, John, 1986. "Specification and testing of some modified count data models," Journal of Econometrics, Elsevier, vol. 33(3), pages 341-365, December. [Downloadable!] (restricted)
  4. Smith, Richard J & Blundell, Richard W, 1986. "An Exogeneity Test for a Simultaneous Equation Tobit Model with an Application to Labor Supply," Econometrica, Econometric Society, vol. 54(3), pages 679-85, May. [Downloadable!] (restricted)
  5. Cameron, A C & P. K. Trivedi & Frank Milne & J. Piggott, 1988. "A Microeconometric Model of the Demand for Health Care and Health Insurance in Australia," Review of Economic Studies, Blackwell Publishing, vol. 55(1), pages 85-106, January. [Downloadable!] (restricted)
  6. Christofides, Louis N. & Stengos, Thanasis & Swidinsky, Robert, 1997. "On the calculation of marginal effects in the bivariate probit model," Economics Letters, Elsevier, vol. 54(3), pages 203-208, July. [Downloadable!] (restricted)
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  7. White, Halbert, 1982. "Maximum Likelihood Estimation of Misspecified Models," Econometrica, Econometric Society, vol. 50(1), pages 1-25, January. [Downloadable!] (restricted)
  8. Grogger, Jeffrey, 1990. "A simple test for exogeneity in probit, logit, and poisson regression models," Economics Letters, Elsevier, vol. 33(4), pages 329-332, August. [Downloadable!] (restricted)
  9. Windmeijer, F A G & Silva, J M C Santos, 1997. "Endogeneity in Count Data Models: An Application to Demand for Health Care," Journal of Applied Econometrics, John Wiley & Sons, Ltd., vol. 12(3), pages 281-94, May-June. [Downloadable!]
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Cited by:
(explanations, Please report citation or reference errors to , or , if you are the registered author of the cited work, log in to your RePEc Author Service profile, click on "citations" and make appropriate adjustments.)

  1. Sisira Sarma & Wayne Simpson, 2006. "A microeconometric analysis of Canadian health care utilization," Health Economics, John Wiley & Sons, Ltd., vol. 15(3), pages 219-239. [Downloadable!]
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