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Heterogeneity in dentists’ activity in Taiwan: an application of quantile regression

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  • Miaw-Chwen Lee
  • Andrew Jones

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Abstract

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Suggested Citation

  • Miaw-Chwen Lee & Andrew Jones, 2006. "Heterogeneity in dentists’ activity in Taiwan: an application of quantile regression," Empirical Economics, Springer, vol. 31(1), pages 151-164, March.
  • Handle: RePEc:spr:empeco:v:31:y:2006:i:1:p:151-164
    DOI: 10.1007/s00181-005-0028-3
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    File URL: http://hdl.handle.net/10.1007/s00181-005-0028-3
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    References listed on IDEAS

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    1. Dharamsi, Shafik & MacEntee, Michael I., 2002. "Dentistry and distributive justice," Social Science & Medicine, Elsevier, vol. 55(2), pages 323-329, July.
    2. Grytten, Jostein & Holst, Dorthe & Laake, Peter, 1990. "Supplier inducement : Its effect on dental services in Norway," Journal of Health Economics, Elsevier, vol. 9(4), pages 483-491, December.
    3. Koenker, Roger & Bassett, Gilbert, Jr, 1982. "Robust Tests for Heteroscedasticity Based on Regression Quantiles," Econometrica, Econometric Society, vol. 50(1), pages 43-61, January.
    4. Juhn, Chinhui & Murphy, Kevin M & Pierce, Brooks, 1993. "Wage Inequality and the Rise in Returns to Skill," Journal of Political Economy, University of Chicago Press, vol. 101(3), pages 410-442, June.
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    Citations

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    Cited by:

    1. Lee, Miaw-Chwen & Jones, Andrew Michael, 2007. "Understanding differences in income-related health inequality between geographic regions in Taiwan using the SF-36," Health Policy, Elsevier, vol. 83(2-3), pages 186-195, October.
    2. Jones, A.M, 2010. "Models For Health Care," Health, Econometrics and Data Group (HEDG) Working Papers 10/01, HEDG, c/o Department of Economics, University of York.

    More about this item

    Keywords

    Quantile regression; Heterogeneity; Global budgets; Dental care; Taiwan; I11; C33;

    JEL classification:

    • I11 - Health, Education, and Welfare - - Health - - - Analysis of Health Care Markets
    • C33 - Mathematical and Quantitative Methods - - Multiple or Simultaneous Equation Models; Multiple Variables - - - Models with Panel Data; Spatio-temporal Models

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