A Quasi-experimental Comparison of Econometric Models for Health Care Expenditures
Individual health care expenditures have complex non-normal distributions with severe positive skewness and leptokurtosis. These features present severe challenges to reliable modeling of expenditures for prediction purposes. We compare a variety of methods using quasi-experimental techniques. Our quasi-experiments combine the distributional realism of actual data on health care expenditures with the reliability of Monte Carlo experimental results. We find that models based on Gamma densities predict substantially better than models based on linear regression with and without transformation of the dependent variable. Models based on finite mixtures of Gamma densities show further improvement in predictive properties.
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- Hendry, David F., 1982. "A reply to Professors Maasoumi and Phillips," Journal of Econometrics, Elsevier, vol. 19(2-3), pages 203-213, August.
- McDonald, James B & Mantrala, Anand, 1995. "The Distribution of Personal Income: Revisited," Journal of Applied Econometrics, John Wiley & Sons, Ltd., vol. 10(2), pages 201-04, April-Jun.
- Manning, Willard G. & Mullahy, John, 2001.
"Estimating log models: to transform or not to transform?,"
Journal of Health Economics,
Elsevier, vol. 20(4), pages 461-494, July.
- Willard G. Manning & John Mullahy, 1999. "Estimating Log Models: To Transform or Not to Transform?," NBER Technical Working Papers 0246, National Bureau of Economic Research, Inc.
- Esfandier Maasoumi & Peter C.B. Phillips, 1980.
"On the Behavior of Inconsistent Instrumental Variable Estimators,"
Cowles Foundation Discussion Papers
568, Cowles Foundation for Research in Economics, Yale University.
- Maasoumi, Esfandiar & Phillips, Peter C. B., 1982. "On the behavior of inconsistent instrumental variable estimators," Journal of Econometrics, Elsevier, vol. 19(2-3), pages 183-201, August.
- 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.
- Blough, David K. & Madden, Carolyn W. & Hornbrook, Mark C., 1999. "Modeling risk using generalized linear models," Journal of Health Economics, Elsevier, vol. 18(2), pages 153-171, April.
- Jones, Andrew M., 2000.
Handbook of Health Economics,
in: A. J. Culyer & J. P. Newhouse (ed.), Handbook of Health Economics, edition 1, volume 1, chapter 6, pages 265-344
- James J. Heckman, 2001. "Micro Data, Heterogeneity, and the Evaluation of Public Policy: Nobel Lecture," Journal of Political Economy, University of Chicago Press, vol. 109(4), pages 673-748, August.
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