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State Dependence in Self-Assessed Health in Spain

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Author Info

  • Sara Ayllón

    ()
    (Universitat de Girona)

  • Cristina Blanco-Perez

    ()
    (Universitat Autónoma de Barcelona)

Abstract

This paper studies for the first time the importance of the contribution of state dependence to the explanation of self-assessed health dynamics in Spain. With this objective in mind, we estimate a series of econometric models including a new proposal for a Heckman selection model with an initial conditions equation run as an ordered probit. Evidence suggests that state dependence and unobserved heterogeneity account for much of the probability of reporting a specific health status while the significance of observed heterogeneity vanishes when controlling for both. However, state dependence looses importance once the error structure of the estimations is improved.

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Bibliographic Info

Article provided by IEF in its journal Hacienda Pública Española/Review of Public Economics.

Volume (Year): 202 (2012)
Issue (Month): 3 (Spetember)
Pages: 9-30

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Handle: RePEc:hpe:journl:y:2012:v:202:i:3:p:9-30

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Related research

Keywords: State Dependence; Self-assesed Health Dynamics; Unobserved Heterogeneity;

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Cited by:
  1. Peter Eibich & Nicolas R. Ziebarth, 2013. "Examining the Structure of Spatial Health Effects in Germany Using Hierarchical Bayes Models," SOEPpapers on Multidisciplinary Panel Data Research 620, DIW Berlin, The German Socio-Economic Panel (SOEP).

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