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Heterogeneous effect of coinsurance rate on the demand for health care: a finite mixture approach

Author

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  • Galina Besstremyannaya

    () (CEFIR)

Abstract

The paper exploits finite mixture (latent class) models to account for consumer heterogeneity in estimating the effect of coinsurance rate on the demand for health care. The parametric analysis employs a two-part model, a Tobit model, and generalized linear models with latent classes. The non-parametric analysis uses matching estimators in each latent class to construct a control group of consumers and measure the average treatment effect of the natural experiment with a rise in nominal coinsurance rate. The paper exploits the 2000-2008 data of the Japanese Panel Survey of Consumers and the 2008 data of Japan Household Panel Survey. The estimations demonstrate a significant negative effect of nominal coinsurance rate on the demand for health care. The effect is primarily noticeable in the latent class of consumers with high health care demand, who constitute 21% of the sample. Our finding with the latent class models with Japanese data, where the assignment of insurance plans is exogenous, is similar to the results with the RAND Health Insurance Experiment data, where the assignment was randomized.

Suggested Citation

  • Galina Besstremyannaya, 2012. "Heterogeneous effect of coinsurance rate on the demand for health care: a finite mixture approach," Working Papers w0163, Center for Economic and Financial Research (CEFIR).
  • Handle: RePEc:cfr:cefirw:w0163
    as

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    File URL: http://www.cefir.ru/papers/WP163_2012.pdf
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    References listed on IDEAS

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    1. Schreyögg, Jonas & Grabka, Markus M., 2010. "Copayments for Ambulatory Care in Germany: A Natural Experiment Using a Difference-in-Difference Approach," EconStor Open Access Articles, ZBW - German National Library of Economics, pages 331-341.
    2. Alberto Abadie & Guido W. Imbens, 2011. "Bias-Corrected Matching Estimators for Average Treatment Effects," Journal of Business & Economic Statistics, Taylor & Francis Journals, vol. 29(1), pages 1-11, January.
    3. Sergi Jiménez-Martín & José M. Labeaga & Maite Martínez-Granado, 2002. "Latent class versus two-part models in the demand for physician services across the European Union," Health Economics, John Wiley & Sons, Ltd., vol. 11(4), pages 301-321.
    4. Alberto Abadie & David Drukker & Jane Leber Herr & Guido W. Imbens, 2004. "Implementing matching estimators for average treatment effects in Stata," Stata Journal, StataCorp LP, vol. 4(3), pages 290-311, September.
    5. Nawata, Kazumitsu & Nitta, Ayako & Watanabe, Sonoko & Kawabuchi, Koichi, 2006. "An analysis of the length of stay and effectiveness of treatment for hip fracture patients in Japan: Evaluation of the 2002 revision of the medical service fee schedule," Journal of Health Economics, Elsevier, vol. 25(4), pages 722-739, July.
    6. Deb, Partha & Trivedi, Pravin K, 1997. "Demand for Medical Care by the Elderly: A Finite Mixture Approach," Journal of Applied Econometrics, John Wiley & Sons, Ltd., vol. 12(3), pages 313-336, May-June.
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    Cited by:

    1. Zasimova, Liudmila & Kossova, Elena, 2016. "Empirical analysis of out-of-pocket expenditures on medicine in Russia," Applied Econometrics, Publishing House "SINERGIA PRESS", vol. 42, pages 75-99.

    More about this item

    Keywords

    Health insurance; coinsurance rate; panel data latent class model; average treatment effect; price elasticity; matching estimators;

    JEL classification:

    • I10 - Health, Education, and Welfare - - Health - - - General
    • I18 - Health, Education, and Welfare - - Health - - - Government Policy; Regulation; Public Health
    • G22 - Financial Economics - - Financial Institutions and Services - - - Insurance; Insurance Companies; Actuarial Studies
    • R22 - Urban, Rural, Regional, Real Estate, and Transportation Economics - - Household Analysis - - - Other Demand

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