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Socio-economic inequalities in health in Catalonia

Author

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  • Pilar García Gómez
  • Ángel López
Abstract
In this paper we measure the degree of income related inequality in mental health as measured by the GHQ instrument and general health as measured by the EQOL-5D instrument for the Catalan population. We find that income is the main contributor to inequality, although the share of inequality in mental health that can be explained by income is much greater than the corresponding share of inequality in general health. We also find that the variation in demographic structure reduces income related inequality in mental health but increases income related inequality in general health. The regional variations in both instruments for health are striking, with the Barcelona districts faring relatively bad with respect to the rest of geographical areas and Lleida being the health region where, all else held equal, the population reports the greatest level of health. A big share of inequality in the two health measures, but specially mental health, is due to the favourable position in both health and income of those who enjoy an indefinite contract with respect to the rest of individuals. We also find that risky working conditions affect both health measures and are able to explain an important share of socio-economic inequality.

Suggested Citation

  • Pilar García Gómez & Ángel López, 2004. "Socio-economic inequalities in health in Catalonia," Economics Working Papers 758, Department of Economics and Business, Universitat Pompeu Fabra, revised Oct 2005.
    • Handle: RePEc:upf:upfgen:758
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    References listed on IDEAS

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    1. Andrew M. Jones & Angel López Nicolás, 2004. "Measurement and explanation of socioeconomic inequality in health with longitudinal data," Health Economics, John Wiley & Sons, Ltd., vol. 13(10), pages 1015-1030, October.
    2. Eddy van Doorslaer & Xander Koolman, 2004. "Explaining the differences in income‐related health inequalities across European countries," Health Economics, John Wiley & Sons, Ltd., vol. 13(7), pages 609-628, July.
    3. Pilar García Gómez & Ángel López, 2004. "Regional differences in socio-economic health inequalities in Spain," Economics Working Papers 757, Department of Economics and Business, Universitat Pompeu Fabra, revised Oct 2004.
    4. Wagstaff, Adam & van Doorslaer, Eddy & Watanabe, Naoko, 2003. "On decomposing the causes of health sector inequalities with an application to malnutrition inequalities in Vietnam," Journal of Econometrics, Elsevier, vol. 112(1), pages 207-223, January.
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    8. Hugh Gravelle, 2003. "Measuring income related inequality in health: standardisation and the partial concentration index," Health Economics, John Wiley & Sons, Ltd., vol. 12(10), pages 803-819, October.
    9. Doorslaer, Eddy van & Jones, Andrew M., 2003. "Inequalities in self-reported health: validation of a new approach to measurement," Journal of Health Economics, Elsevier, vol. 22(1), pages 61-87, January.
    10. Wildman, John, 2003. "Income related inequalities in mental health in Great Britain: analysing the causes of health inequality over time," Journal of Health Economics, Elsevier, vol. 22(2), pages 295-312, March.
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    Cited by:

    1. Joan Costa-Font & Joan Gil, 2008. "Would Socio-Economic Inequalities in Depression Fade Away with Income Transfers?," Journal of Happiness Studies, Springer, vol. 9(4), pages 539-558, December.
    2. Toni Mora, 2008. "The relevance of satisfaction with coverage for health care utilization: evidence from Catalonia," Hacienda Pública Española / Review of Public Economics, IEF, vol. 184(1), pages 99-116, April.
    3. Pilar García Gómez & Angel López Nicolás, 2006. "Health shocks, employment and income in the Spanish labour market," Health Economics, John Wiley & Sons, Ltd., vol. 15(9), pages 997-1009, September.
    4. Heckley, Gawain & Gerdtham, Ulf-G. & Kjellsson, Gustav, 2016. "A general method for decomposing the causes of socioeconomic inequality in health," Journal of Health Economics, Elsevier, vol. 48(C), pages 89-106.

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    More about this item

    Keywords

    Health inequalities; decomposition analysis; Spain;
    All these keywords.

    JEL classification:

    • D63 - Microeconomics - - Welfare Economics - - - Equity, Justice, Inequality, and Other Normative Criteria and Measurement
    • I12 - Health, Education, and Welfare - - Health - - - Health Behavior
    • C21 - Mathematical and Quantitative Methods - - Single Equation Models; Single Variables - - - Cross-Sectional Models; Spatial Models; Treatment Effect Models

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