Socioeconomic inequality in childhood obesity and its determinants: a Blinder–Oaxaca decomposition
Jornal de Pediatria, 2018 Objective: Childhood obesity has become a priority health concern worldwide. Socioeconomic status is one of its main determinants. This study aimed to assess the socioeconomic inequality of obesity in children and adolescents at national and provincial ...
Roya Kelishadi +10 more
doaj +8 more sources
Pseudo-Panel Decomposition of the Blinder–Oaxaca Gender Wage Gap
EconometricsThis article introduces a novel approach to decomposing the Blinder–Oaxaca gender wage gap using pseudo-panel data. In many developing countries, panel data are not available; however, understanding the evolution of the gender wage gap over time requires
Jhon James Mora, Diana Yaneth Herrera
doaj +2 more sources
Blinder-Oaxaca decomposition for Tobit models [PDF]
SSRN Electronic Journal, 2005 In this paper, a decomposition method for Tobit-models is derived, which allows the differences in a censored outcome variable between two groups to be decomposed into a part that is explained by differences in observed characteristics and a part ...
Bauer, Thomas K., Sinning, Mathias
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An Extension of the Blinder-Oaxaca Decomposition to Non-Linear Models [PDF]
SSRN Electronic Journal, 2006 In this paper, a general Blinder-Oaxaca decomposition is derived that can also be applied to non-linear models, which allows the differences in a non-linear outcome variable between two groups to be decomposed into a part that is explained by differences
Mathias Sinning, Thomas Bauer
core +5 more sources
Explaining gender inequalities in overweight people: a Blinder-Oaxaca decomposition analysis in northern Sweden. [PDF]
Int J Equity Health, 2023 Abstract Background Being overweight and obesity are considered serious public health concerns worldwide. At the population level, factors contributing to overweight as well as the differences in overweight between men and women in terms of prevalence or associated factors are relatively well-known. What is less known is
Yusuf FM +2 more
europepmc +5 more sources
An Extension of the Blinder-Oaxaca Decomposition Technique to Logit and Probit Models [PDF]
SSRN Electronic Journal, 2005 The Blinder-Oaxaca decomposition technique is widely used to identify and quantify the separate contributions of group differences in measurable characteristics, such as education, experience, marital status, and geographical differences to racial and ...
Robert W. Fairlie
core +7 more sources
IPV Experiences and Financial Strain Over Time: Insights from the Blinder-Oaxaca Decomposition Analysis. [PDF]
J Fam Econ Issues, 2023 Financial strain is one hardship faced by female survivors of intimate partner violence (IPV) that is often overlooked. This paper examined the relationships between multiple forms of abuse-with a focus on economic abuse-and financial strain. Guided by stress process model, this study tested two hypotheses: (1) economic abuse is associated with ...
Lin HF, Postmus JL, Hu H, Stylianou AM.
europepmc +3 more sources
The effects of prevalence of inequalities in mental disorders between groups using Blinder- Oaxaca decomposition. [PDF]
J Educ Health Promot, 2023 BACKGROUND: The prevalence of inequalities in sociodemographic factors in some mental disorders (MDs) has been shown in previous reports. The aim of this study was to assess the main contributors that affected prevalence of inequalities in MDs between groups.
Veisani Y, Mohamadian F.
europepmc +4 more sources
A computational trick for calculating the Blinder-Oaxaca decomposition and its standard error [PDF]
Economics Bulletin, 2007 To compute the Blinder-Oaxaca decomposition and associated standard errors a practitioner needs to be comfortable using vector and matrix software manipulations.
Jutta Heinrichs, Peter Kennedy
core +1 more source
The Blinder–Oaxaca Decomposition for Nonlinear Regression Models [PDF]
The Stata Journal: Promoting communications on statistics and Stata, 2008 In this article, a general Blinder–Oaxaca decomposition for nonlinear models is derived, which allows the difference in an outcome variable between two groups to be decomposed into several components. We show how, using nldecompose, this general decomposition can be applied to different models with discrete and limited dependent variables.
Mathias Sinning +2 more
openaire +2 more sources