Oaxaca-Blinder meets Kitagawa: What is the link? [PDF]
PLoS 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
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Social determinants of the Latinx diabetes health disparity: A Oaxaca-Blinder decomposition analysis [PDF]
SSM: 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
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Unexplained Gaps and Oaxaca-Blinder Decompositions [PDF]
Labour 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
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Socioeconomic inequality in self-rated health and its determinants: an Oaxaca blinder decomposition in Ilam, West of Iran during 2023 [PDF]
BMC 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
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Understanding the Improvement in Full Childhood Vaccination Coverage in Ethiopia Using Oaxaca-Blinder Decomposition Analysis. [PDF]
Vaccines (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
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AI-enabled Barilai–Borwein–Blinder–Oaxaca–Bernoulli Deep Classifier for Enhanced Crop Yield Prediction [PDF]
Scientific ReportsThis 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
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Deconstructing race and gender differences in adolescent obesity: Oaxaca-blinder decomposition. [PDF]
Obesity (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
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Oaxaca – Blinder Model In Economic Analysis
Tạp 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
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Oaxaca/Blinder decompositions for nonlinear models [PDF]
, 2007 This paper describes the estimation of a general Blinder–Oaxaca decomposition of the mean outcome differential of linear and nonlinear regression models.
Markus Hahn, Matthias Sinning
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Changes in catastrophic health expenditure in post-conflict Sierra Leone: an Oaxaca-blinder decomposition analysis. [PDF]
Int J Equity Health, 2017 At the end of the eleven-year conflict in Sierra Leone, a wide range of policies were implemented to address both demand- and supply-side constraints within the healthcare system, which had collapsed during the conflict. This study examines the extent to which households' exposure to financial risks associated with seeking healthcare evolved in post ...
Edoka I +4 more
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