Results 11 to 20 of about 4,504 (193)

Blinder-Oaxaca Decomposition for Tobit Models [PDF]

open access: yesSSRN Electronic Journal, 2005
In this paper, a decomposition method for Tobit-models is derived, which allows the differences in observed outcome variables 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.
Bauer, Thomas, Sinning, Mathias
openaire   +12 more sources

An Extension of the Blinder-Oaxaca Decomposition Technique to Logit and Probit Models [PDF]

open access: yesSSRN 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 gender gaps in outcomes.
Robert W. Fairlie
openaire   +7 more sources

A detailed explanation and graphical representation of the Blinder-Oaxaca decomposition method with its application in health inequalities. [PDF]

open access: yesEmerg Themes Epidemiol, 2021
AbstractThis paper introduces the Blinder-Oaxaca decomposition method to be applied in explaining inequality in health outcome across any two groups. In order to understand every aspect of the inequality, multiple regression model can be used in a way to decompose the inequality into contributing factors.
Rahimi E, Hashemi Nazari SS.
europepmc   +5 more sources

Explaining Racial Inequality in Food Security in Columbus, Ohio: A Blinder-Oaxaca Decomposition Analysis. [PDF]

open access: yesInt J Environ Res Public Health, 2020
Food insecurity is a leading public health challenge in the United States. In Columbus, Ohio, as in many American cities, there exists a great disparity between Black and White households in relation to food insecurity. This study investigates the degree to which this gap can be attributed to differences in food shopping behavior, neighborhood ...
Koh K   +4 more
europepmc   +4 more sources

Examining the decline in modern contraception usage among married women in Bangladesh: Applying Blinder-Oaxaca decomposition analysis. [PDF]

open access: yesPLoS ONE
ObjectivesControlling population expansion and reducing unintended pregnancies through the use of modern contraceptives is a cost-effective strategy. In recent years, the rate of modern contraceptive use in Bangladesh has been declining.
Samia Kabir   +2 more
doaj   +2 more sources

Economic inequality in eye care utilization and its determinants: a Blinder-Oaxaca decomposition. [PDF]

open access: yesInt J Health Policy Manag, 2014
The current study aimed to determine eye care utilization, to assess the role of economic inequality in the utilization of eye care services, and to identify its determinants in Shahroud, North of Iran.Of the 6,311 invited people, 5,190 (82.24%) individuals aged 40 to 64 years old participated in the study. A history of a visit by an ophthalmologist or
Emamian MH   +5 more
europepmc   +5 more sources

Pseudo-Panel Decomposition of the Blinder–Oaxaca Gender Wage Gap

open access: yesEconometrics
This 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

Regional inequalities in child malnutrition in Egypt, Jordan, and Yemen: a Blinder-Oaxaca decomposition analysis. [PDF]

open access: yesHealth Econ Rev, 2016
There is substantial evidence that on average, urban children have better health outcomes than rural children. This paper investigates the underlying factors that account for the regional disparities in child malnutrition in three Arab countries, namely; Egypt, Jordan, and Yemen.
Sharaf MF, Rashad AS.
europepmc   +5 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

Educational inequalities and residence-based decomposition in smoking behavior [PDF]

open access: yesScientific Reports
Understanding education-related smoking inequalities and their contributors is crucial for identifying the social determinants of health and designing targeted interventions to reduce disparities.
Hakan Degerli
doaj   +2 more sources

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