منابع مشابه
Blinder-Oaxaca Decomposition for Tobit Models
Blinder-Oaxaca Decomposition for Tobit Models 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 attributable to differences in the estimated coefficients. The method is applied to a decomposition of t...
متن کاملThe Blinder–Oaxaca decomposition for linear regression models
The counterfactual decomposition technique popularized by Blinder (1973, Journal of Human Resources, 436–455) and Oaxaca (1973, International Economic Review, 693–709) is widely used to study mean outcome differences between groups. For example, the technique is often used to analyze wage gaps by sex or race. This article summarizes the technique and addresses several complications, such as the...
متن کاملAn Extension of the Blinder-Oaxaca Decomposition Technique to Logit and Probit Models
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 gender gaps in outcomes. The technique cannot be used directly, however, if the outcome is binary and the coefficients are from a logit or probit...
متن کاملExplaining Differences between Groups: Oaxaca Decomposition
After inequalities in the health sector are measured, a natural next step is to seek to explain them. Why do inequalities in health exist between the poor and better-off in many countries despite health systems explicitly aimed at eliminating inequalities in access to health care? Why is inequality in the incidence of health sector subsidies greater in one country than in another? Why has the d...
متن کاملAddressing Path Dependence and Incorporating Sample Weights in the Nonlinear Blinder-Oaxaca Decomposition Technique for Logit, Probit and Other Nonlinear Models
The Blinder-Oaxaca decomposition technique is widely used to identify and quantify the separate contributions of differences in measurable characteristics to group differences in an outcome of interest. The use of a linear probability model and the standard BlinderOaxaca decomposition, however, can provide misleading estimates when the dependent variable is binary, especially when group differe...
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ژورنال
عنوان ژورنال: Journal of Economic and Social Measurement
سال: 2017
ISSN: 0747-9662,1875-8932
DOI: 10.3233/jem-170439