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An econometric analysis of veterans’ health care utilization using two-part models


  • Kajal Lahiri


  • Guibo Xing


Based on the 1992 US National Survey of Veterans, we analyzed veterans’ inpatient and outpatient health care utilization patterns by estimating count data two-part hurdle models. We also identified factors that affect veterans’ choice of health care between VA and non-VA facilities using count data selection models. Not surprisingly, we found that health condition measures are the most important factors in determining veterans’ health care utilization. Gender, disability, and employment status are also significant. Veterans with lower socio-economic status, without other health insurance coverages, or living near VA health care facilities are more likely to use VA health care system for outpatient visits and inpatient admissions. Our study underscores the role of alternative sources of health care and insurance in discerning the true effects of the explanatory variables on an individual’s total demand for health care and its allocation between alternative providers. Copyright Springer-Verlag 2004

Suggested Citation

  • Kajal Lahiri & Guibo Xing, 2004. "An econometric analysis of veterans’ health care utilization using two-part models," Empirical Economics, Springer, vol. 29(2), pages 431-449, May.
  • Handle: RePEc:spr:empeco:v:29:y:2004:i:2:p:431-449 DOI: 10.1007/s00181-003-0178-0

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    References listed on IDEAS

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    Cited by:

    1. Marra, Giampiero & Wyszynski, Karol, 2016. "Semi-parametric copula sample selection models for count responses," Computational Statistics & Data Analysis, Elsevier, vol. 104(C), pages 110-129.
    2. Coughlin, Cletus C. & Bandyopadhyay, Subhayu, 2014. "Determinants of trade margins: insights using state export data," Working Papers 2014-6, Federal Reserve Bank of St. Louis, revised 18 Nov 2015.
    3. 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.


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