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Reporting heterogeneity in health: an extended latent class approach


  • Valentino Dardanoni
  • Paolo Li Donni


This article explores how individual socio-economic characteristics affect unobserved heterogeneity in self-reporting behaviour and health production using a multivariate finite mixture model. Results show a positive relationship between objective and subjective observable health indicators and true health and support the existence of self-reporting bias related to socio-economic characteristics and individual life styles.

Suggested Citation

  • Valentino Dardanoni & Paolo Li Donni, 2012. "Reporting heterogeneity in health: an extended latent class approach," Applied Economics Letters, Taylor & Francis Journals, vol. 19(12), pages 1129-1133, August.
  • Handle: RePEc:taf:apeclt:v:19:y:2012:i:12:p:1129-1133
    DOI: 10.1080/13504851.2011.615728

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    Cited by:

    1. Paolo Li Donni & Ranjeeta Thomas, 2020. "Latent class models for multiple ordered categorical health data: testing violation of the local independence assumption," Empirical Economics, Springer, vol. 59(4), pages 1903-1931, October.
    2. Paolo Li Donni & Ranjeeta Thomas, 0. "Latent class models for multiple ordered categorical health data: testing violation of the local independence assumption," Empirical Economics, Springer, vol. 0, pages 1-29.
    3. Jianbo Luo, 2020. "A Pecuniary Explanation for the Heterogeneous Effects of Unemployment on Happiness," Journal of Happiness Studies, Springer, vol. 21(7), pages 2603-2628, October.
    4. Silvia Balia, 2014. "Survival expectations, subjective health and smoking: evidence from SHARE," Empirical Economics, Springer, vol. 47(2), pages 753-780, September.

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