Results 1 to 10 of about 6,781 (204)

Oaxaca-Blinder meets Kitagawa: What is the link? [PDF]

open access: yesPLoS ONE, 2023
Recently, papers have started combining the naming of two popular decomposition methods: the Oaxaca-Blinder (OB) method and the Kitagawa method, a popular method in demographics and sociology.
Ronald L Oaxaca, Eva Sierminska
doaj   +5 more sources

Social determinants of the Latinx diabetes health disparity: A Oaxaca-Blinder decomposition analysis [PDF]

open access: yesSSM: Population Health, 2021
Latinx people living in the U.S. report a disproportionately high prevalence of diabetes. This project builds on the existing social determinants of diabetes literature by examining factors associated with a greater likelihood of diabetes and ...
Kate Cartwright
doaj   +4 more sources

Unexplained Gaps and Oaxaca-Blinder Decompositions [PDF]

open access: yesLabour Economics, 2009
We analyze four methods to measure unexplained gaps in mean outcomes: three decompositions based on the seminal work of Oaxaca (1973) and Blinder (1973) and an approach involving a seemingly naïve regression that includes a group indicator variable.
Elder, Todd E.   +2 more
core   +5 more sources

Understanding the Improvement in Full Childhood Vaccination Coverage in Ethiopia Using Oaxaca-Blinder Decomposition Analysis. [PDF]

open access: yesVaccines (Basel), 2020
In Ethiopia, full vaccination coverage among children aged 12–23 months has improved in recent decades. This study aimed to investigate drivers of the improvement in the vaccination coverage. The Oaxaca–Blinder decomposition technique was applied to identify the drivers using data from Ethiopian Demographic and Health Survey conducted in 2000 and 2016.
Wondimu A   +5 more
europepmc   +6 more sources

Socioeconomic inequality in self-rated health and its determinants: an Oaxaca blinder decomposition in Ilam, West of Iran during 2023 [PDF]

open access: yesBMC Health Services Research, 2023
Aim To determine inequality and decompose it’s in Self-Rated Health (SRH). Method This population-based cross-sectional study was undertaken on the entire population of the city of Ilam, Iran, in 2023.
Mohammad Bazyar   +5 more
doaj   +2 more sources

Extending the Kitagawa–Oaxaca–Blinder decomposition approach to panel data

open access: yesThe Stata Journal, 2021
The Kitagawa–Oaxaca–Blinder decomposition approach has been widely used to attribute group-level differences in an outcome to differences in endowment, coefficients, and their interactions. The method has been implemented for Stata in the popular oaxaca command for cross-sectional analyses. In recent decades, however, research questions have been more
Jörg Hartmann
exaly   +3 more sources

Deconstructing race and gender differences in adolescent obesity: Oaxaca-blinder decomposition. [PDF]

open access: yesObesity (Silver Spring), 2016
ObjectiveTo analyze sources of racial and gender disparities in adolescent obesity prevalence in the United States using Oaxaca–Blinder decomposition.MethodsData were obtained from the National Youth Physical Activity and Nutrition Study, a 2010 nationally representative study of 9th‐12th grade students.
Taber DR   +3 more
europepmc   +4 more sources

Oaxaca – Blinder Model In Economic Analysis

open access: yesTạp chí Khoa học Đại học Mở Thành phố Hồ Chí Minh - Kinh tế và Quản trị kinh doanh, 2020
Oaxaca–Blinder model is popularly used in the world to study differences (gap) in average values of two groups. For instance, this technique is often applied to analyse the wage gap by gender, race, economic sector, etc.
Nguyễn Minh Hà   +2 more
doaj   +1 more source

Oaxaca-Blinder as a Reweighting Estimator [PDF]

open access: yesAmerican Economic Review, 2011
The classic regression based estimator of counterfactual means studied by Ronald Oaxaca (1973) and Alan Blinder (1973) is shown to constitute a propensity score reweighting estimator based upon a linear model for the conditional odds of being treated.
exaly   +3 more sources

AI-enabled Barilai–Borwein–Blinder–Oaxaca–Bernoulli Deep Classifier for Enhanced Crop Yield Prediction [PDF]

open access: yesScientific Reports
This article explores the integration of advanced Artificial Intelligence (AI) enabled deep learning methods with accurate crop yield prediction. The objective of the work is to enhance the accuracy, sensitivity, and specificity of crop yield prediction.
Rajesh Kumar Dhanaraj   +3 more
doaj   +2 more sources

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