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A general method for decomposing the causes of socioeconomic inequality in health

In English

Författare

Summary, in English

We introduce a general decomposition method applicable to all forms of bivariate rank dependent indices of socioeconomic inequality in health, including the concentration index. The technique is based on recentered influence function regression and requires only the application of OLS to a transformed variable with similar interpretation. Our method requires few identifying assumptions to yield valid estimates in most common empirical applications, unlike current methods favoured in the literature. Using the Swedish Twin Registry and a within twin pair fixed effects identification strategy, our new method finds no evidence of a causal effect of education on income-related health inequality.

Publiceringsår

2016-07-01

Språk

Engelska

Sidor

89-106

Publikation/Tidskrift/Serie

Journal of Health Economics

Volym

48

Dokumenttyp

Artikel i tidskrift

Förlag

Elsevier

Ämne

  • Health Care Service and Management, Health Policy and Services and Health Economy

Nyckelord

  • Concentration index
  • Decomposition methods
  • I10
  • I14
  • I30
  • Inequality measurement
  • Recentered influence function

Status

Published

Forskningsgrupp

  • Health Economics

ISBN/ISSN/Övrigt

  • ISSN: 0167-6296