The importance of individual heterogeneity in the decomposition of measures of socioeconomic inequality in health: An approach based on quantile regression
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- Andrew M. Jones & Ángel López-Nicolás, 2002. "The importance of individual heterogeneity in the decomposition of measures of socioeconomic inequality in health: An approach based on quantile regression," Working Papers, Research Center on Health and Economics 626, Department of Economics and Business, Universitat Pompeu Fabra.
References listed on IDEAS
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CitationsCitations are extracted by the CitEc Project, subscribe to its RSS feed for this item.
- Costa-Font, Montserrat & Costa-Font, Joan, 2009. "Heterogeneous 'adaptation' and 'income effects' across self-reported health distribution?," Journal of Behavioral and Experimental Economics (formerly The Journal of Socio-Economics), Elsevier, vol. 38(4), pages 574-580, August.
- Villar, Jaume García & Raya, Josep Maria, 2015. "Use of a Gini index to examine housing price heterogeneity: A quantile approach," Journal of Housing Economics, Elsevier, vol. 29(C), pages 59-71.
- Dasgupta, Aparajita, 2014. "Systematic Measurement Error in Self-Reported Health: Is anchoring vignettes the way out?," MPRA Paper 58722, University Library of Munich, Germany.
More about this item
KeywordsHealth inequalities; unobserved heterogeneity; quantile regression;
- C13 - Mathematical and Quantitative Methods - - Econometric and Statistical Methods and Methodology: General - - - Estimation: General
- C15 - Mathematical and Quantitative Methods - - Econometric and Statistical Methods and Methodology: General - - - Statistical Simulation Methods: General
- D72 - Microeconomics - - Analysis of Collective Decision-Making - - - Political Processes: Rent-seeking, Lobbying, Elections, Legislatures, and Voting Behavior
NEP fieldsThis paper has been announced in the following NEP Reports:
- NEP-ALL-2002-06-18 (All new papers)
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