A unified structural equation modelling approach for the decomposition of rank-dependent indicators of socioeconomic inequality of health

Arbeitspapier

We present a unified structural equation modelling framework for the regression-based decomposition of rank-dependent indicators of socioeconomic inequality of health and compare it with a simple ordinary least squares regression. The structural equation modelling framework forms the basis for a proper use of the most prominent one- and two-dimensional decompositions and provides an argument for using the bivariate multiple regression model for two-dimensional decomposition. Within the structural equation modelling framework, the two-dimensional decomposition integrates the feedback mechanism between health and socioeconomic status and allows for different sets of determinants of these variables. We illustrate the structural equation modelling approach and its outperformance of ordinary least squares using data from the 2011 Ethiopian Demographic and Health Survey.

Object Details

• ISBN: 978-92-9230-902-2
• Language: Englisch

References and Relationships

• Bibliographic citation: Series: WIDER Working Paper ; No. 2015/017

Classification and Topics

• Classification: Wirtschaft ; Multiple or Simultaneous Equation Models: Instrumental Variables (IV) Estimation ; Equity, Justice, Inequality, and Other Normative Criteria and Measurement ; Health, Education, and Welfare: General
• Subject: inequality measurement ; Concentration Index ; decomposition methods ; structural equation modelling

Contributors, Places and Time

• Event: Geistige Schöpfung
• (who): Kessels, Roselinde ; Erreygers, Guido
• Event: Veröffentlichung
• (who): The United Nations University World Institute for Development Economics Research (UNU-WIDER)
• (where): Helsinki
• (when): 2015

Further information

• DOI: doi:10.35188/UNU-WIDER/2015/902-2
• Handle: http://hdl.handle.net/10419/126296
• Last update: 10.03.2025, 11:44 AM CET