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What does demand heterogeneity tell us about health care provider choice in rural China?

Author

Listed:
  • Martine AUDIBERT

    (Cerdi - Université Clermont Auvergne - CNRS)

  • Yong HE

    (FERDI)

  • Jacky MATHONNAT

    (Cerdi - Université Clermont Auvergne)

Abstract
The objective of this paper is twofold: 1) to fill the gap in the health care literature with the estimation of the price and distance effects on health care provider choices by households in the presence of varying demand heterogeneity, 2) to contribute to estimation robustness by confronting the performance of the mixed multinomial logit (MMNL) and the multinomial logit (MNL). We built a database of two samples of patients surveyed within the same regions in rural China over a time interval of 18 years, and presumed varying demand heterogeneity due to income increase and people aging. We find that while the mean price and distance negative effects on patients choice were present in both time periods, their differences in heterogeneity, which were confirmed with the MMNL, could have crucial importance in avoiding erroneous policy making based merely on mean price and distance effects. We also find that while both the MNL and the MMNL are able to predict price and distance effects with low heterogeneity, only the MMNL appears able to detect the price effect when heterogeneity is high. This finding has policy implications and suggests using caution when interpreting estimation results with the MNL in cases of high heterogeneity.

Suggested Citation

  • Martine AUDIBERT & Yong HE & Jacky MATHONNAT, 2017. "What does demand heterogeneity tell us about health care provider choice in rural China?," Working Papers P193, FERDI.
    • Handle: RePEc:fdi:wpaper:3872
    as

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    File URL: http://www.ferdi.fr/sites/www.ferdi.fr/files/publication/fichiers/wp193_ferdi-audibert_-_he-mathonnat.pdf
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    References listed on IDEAS

    as
    1. Gertler, Paul & Locay, Luis & Sanderson, Warren, 1987. "Are user fees regressive? : The welfare implications of health care financing proposals in Peru," Journal of Econometrics, Elsevier, vol. 36(1-2), pages 67-88.
    2. Patrick Royston, 2004. "Multiple imputation of missing values," Stata Journal, StataCorp LP, vol. 4(3), pages 227-241, September.
    3. Dahlberg, Matz & Eklöf, Matias, 2003. "Relaxing the IIA Assumption in Locational Choice Models: A Comparison Between Conditional Logit, Mixed Logit, and Multinomial Probit Models," Working Paper Series 2003:9, Uppsala University, Department of Economics.
    4. Sahn, David E. & Stifel, David C., 2000. "Poverty Comparisons Over Time and Across Countries in Africa," World Development, Elsevier, vol. 28(12), pages 2123-2155, December.
    5. Jacky MATHONNAT & Yong HE & Martine AUDIBERT, 2013. "Two-Period Comparison of Healthcare Demand with Income Growth and Population Aging in Rural China: Implications for Adjustment of the Healthcare Supply and Development," Working Papers 201315, CERDI.
    6. Hole, Arne Risa, 2008. "Modelling heterogeneity in patients' preferences for the attributes of a general practitioner appointment," Journal of Health Economics, Elsevier, vol. 27(4), pages 1078-1094, July.
    7. Fredrik Carlsson, 2003. "The demand for intercity public transport: the case of business passengers," Applied Economics, Taylor & Francis Journals, vol. 35(1), pages 41-50.
    8. Baltas, George & Doyle, Peter, 2001. "Random utility models in marketing research: a survey," Journal of Business Research, Elsevier, vol. 51(2), pages 115-125, February.
    9. Train,Kenneth E., 2009. "Discrete Choice Methods with Simulation," Cambridge Books, Cambridge University Press, number 9780521747387, September.
    10. Harris, Katherine M. & Keane, Michael P., 1998. "A model of health plan choice:: Inferring preferences and perceptions from a combination of revealed preference and attitudinal data," Journal of Econometrics, Elsevier, vol. 89(1-2), pages 131-157, November.
    11. Canaviri, Jose, 2007. "A Random Parameter Logit model for modeling Health Care Provider Choice in Bolivia," MPRA Paper 3263, University Library of Munich, Germany.
    12. Bijan J. Borah, 2006. "A mixed logit model of health care provider choice: analysis of NSS data for rural India," Health Economics, John Wiley & Sons, Ltd., vol. 15(9), pages 915-932, September.
    13. David Revelt & Kenneth Train, 1998. "Mixed Logit With Repeated Choices: Households' Choices Of Appliance Efficiency Level," The Review of Economics and Statistics, MIT Press, vol. 80(4), pages 647-657, November.
    14. Kenneth E. Train, 1998. "Recreation Demand Models with Taste Differences over People," Land Economics, University of Wisconsin Press, vol. 74(2), pages 230-239.
    15. Vincent van den Berg & Eric Kroes & Erik T. Verhoef, 2010. "Biases in Willingness-To-Pay Measures from Multinomial Logit Estimates due to Unobserved Heterogeneity," Tinbergen Institute Discussion Papers 10-014/3, Tinbergen Institute.
    16. Horowitz, Joel, 1980. "The accuracy of the multinomial logit model as an approximation to the multinomial probit model of travel demand," Transportation Research Part B: Methodological, Elsevier, vol. 14(4), pages 331-341, December.
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    More about this item

    Keywords

    price effect; distance effect; health care choice; preference heterogeneity; multinomial and mixed logit model; estimation robustness; Chinese rural households;
    All these keywords.

    JEL classification:

    • D1 - Microeconomics - - Household Behavior
    • C5 - Mathematical and Quantitative Methods - - Econometric Modeling
    • I1 - Health, Education, and Welfare - - Health

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