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Ley 39/2006 de Autonomía Personal y Atención a la Dependencia. Determinantes de las prestaciones por comunidades autónomas

Author

Listed:
  • Virginia Colás Barriobero

    (Universidad de Zaragoza)

  • Blanca Simón Fernández

    (Universidad de Zaragoza)

  • Angelina Lázaro Alquézar

    (Universidad de Zaragoza)

Abstract

The objective of this work is to check the determinants of benefits by the autonomous communities in the framework of law 39/2006 of Personal autonomy and care dependency. The results, using panel data, suggest that, in the granting of benefits to the unit are relevant demographic variables such as a higher rate of dependency, be over 75 years old and live in an urban population. In terms of economic variables are significant resources available as soon as you’re growing income, occupation, and income tax. Inertia is not perceived in the dynamic model in that the performance of the past are not related to the present. The latent variable according to autonomous differential performance is related to the type of population and the political signal of the regional government.

Suggested Citation

  • Virginia Colás Barriobero & Blanca Simón Fernández & Angelina Lázaro Alquézar, 2012. "Ley 39/2006 de Autonomía Personal y Atención a la Dependencia. Determinantes de las prestaciones por comunidades autónomas," EKONOMIAZ. Revista vasca de Economía, Gobierno Vasco / Eusko Jaurlaritza / Basque Government, vol. 81(03), pages 205-230.
    • Handle: RePEc:ekz:ekonoz:2012309
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    More about this item

    Keywords

    public policy; dependence; panel data;
    All these keywords.

    JEL classification:

    • R38 - Urban, Rural, Regional, Real Estate, and Transportation Economics - - Real Estate Markets, Spatial Production Analysis, and Firm Location - - - Government Policy
    • J14 - Labor and Demographic Economics - - Demographic Economics - - - Economics of the Elderly; Economics of the Handicapped; Non-Labor Market Discrimination
    • C23 - Mathematical and Quantitative Methods - - Single Equation Models; Single Variables - - - Models with Panel Data; Spatio-temporal Models

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