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Concentration Indices of Income‐Related Self‐Reported Health: A Meta‐Regression Analysis
Author(s) -
CostaFont Joan,
HernándezQuevedo Cristina
Publication year - 2015
Publication title -
applied economic perspectives and policy
Language(s) - English
Resource type - Journals
SCImago Journal Rank - 1.4
H-Index - 49
eISSN - 2040-5804
pISSN - 2040-5790
DOI - 10.1093/aepp/ppu061
Subject(s) - meta regression , publication bias , meta analysis , econometrics , index (typography) , inequality , regression analysis , test (biology) , set (abstract data type) , psychology , economics , actuarial science , statistics , medicine , computer science , mathematics , mathematical analysis , paleontology , world wide web , biology , programming language
Proliferating evidence reporting on standardized cross‐country concentration indexes of income‐related self‐reported health is increasingly being used for policy evaluation. Nonetheless, limited efforts have been put forward to examine the extent to which such evidence is subject to any specific methodological and publication biases, given that studies rely upon survey data from different samples, heterogeneous health system institutions and empirical strategies. We conduct the first study drawing upon appropriate statistical methods to examine the presence of publication bias in the health economics literature measuring health inequalities of self‐reported health. We test for other biases including the effect of precision estimates based on meta‐regression analysis (MRA). We account for a set of biases in estimates of income‐related health inequalities that rely on concentration index‐related methods and self‐reported health measures. Our findings suggest evidence of publication bias that primarily depends on the cardinalization of self‐reported health and some evidence of study‐specific precision.