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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Understanding the Improvement in Full Childhood Vaccination Coverage in Ethiopia Using Oaxaca–Blinder Decomposition Analysis [PDF]
Vaccines, 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.
Josué Almansa, Qi Cao, Derek Asuman
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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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Extending the Kitagawa–Oaxaca–Blinder decomposition approach to panel data
The Stata Journal, 2021 The Kitagawa{Oaxaca{Blinder decomposition approach has been widely used to attribute group-level differences in an outcome to dierences in endowment, coefficients, and their interactions. The method has been implemented for Stata in the popular oaxaca command for cross-sectional analyses.
Hannes Kröger
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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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Decomposition of racial and ethnic disparities in sleep health among US adults, NHANES from 2005–2008 and 2015–2018 [PDF]
BMC Public HealthBackground Some studies have shown racial and ethnic disparities in sleep debt, trouble sleeping, and daytime sleepiness, as well as the association between social demographics and sleep behaviors, such as educational level, ethnic origin, and marital ...
Xiangqi Yuan +6 more
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Changes in Perceived Accessibility to Healthcare from the Elderly between 2005 and 2014 in China: An Oaxaca–Blinder Decomposition Analysis [PDF]
International Journal of Environmental Research and Public Health, 2019 Chaojie Liu, Liu Chaojie
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The Generalized Oaxaca-Blinder Estimator [PDF]
Journal of the American Statistical Association, 2021 After performing a randomized experiment, researchers often use ordinary-least squares (OLS) regression to adjust for baseline covariates when estimating the average treatment effect. It is widely known that the resulting confidence interval is valid even if the linear model is misspecified.
Kevin Guo, Guillaume Basse
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