Results 161 to 170 of about 587,505 (204)

Territoriality and employment satisfaction: An analysis using the Oaxaca-Blinder decomposition applied in Côte d’Ivoire

Journal of Urban Management
Antoine N'Gratier, Alban A.E. Ahouré
openaire   +1 more source

Structural inequalities and dietary diversity in Odisha: evidence from NSSO 68^th and 79^th rounds. [PDF]

Sci Rep
Sethy M, Mahapatro SR.
europepmc   +1 more source

Rising rates of young people Not in Education, Employment, or Training (NEET) explained by higher prevalence of physical and psychological ill health: a 15-year UK study

Wels J, Kelly D, Smeeth D, Bridger-Staatz C, Li Z, Ploubidis G, Chaturvedi N, Patalay P.   +7 more
europepmc   +1 more source

Comparison of urban-rural inequality in quality antenatal care among women in Bangladesh and Pakistan: a multivariable decomposition analysis. [PDF]

Reprod Health
Misu F, Rahman T, Gasbarro D, Alam K.
europepmc   +1 more source

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 differences in endowment, coefficients, and their interactions. The method has been implemented for Stata in the popular oaxaca command for cross-sectional analyses.
Hannes Kröger
exaly   +4 more sources

The Blinder–Oaxaca Decomposition for Linear Regression Models [PDF]

The Stata Journal, 2008
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.
Ben Jann
exaly   +2 more sources

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Double machine learning for Oaxaca-Blinder decomposition

Economics Letters
Antonio Raiola
exaly   +2 more sources

The easiest way to estimate the Oaxaca–Blinder decomposition

Applied Economics Letters, 2013
This article studies the relation between the Oaxaca–Blinder decomposition and the estimated coefficient of a dummy variable for a linear regression. We calculate the unexplained part of the decomposition from the estimated coefficient of the dummy variable.
Bonnal, Liliane, Boumahdi, Rachid, Favard, Pascal   +2 more
openaire   +2 more sources

A Oaxaca–Blinder decomposition for count data models

Applied Economics Letters, 2010
Little research has examined the factors influencing differential adoption of organic farming practices by women and men farmers, a sector where women account for a significant and rapidly growing proportion of farmers. Female organic farmers adopt more crop disease management practices than male organic farmers and use a different portfolio of ...
T. A. Park, L. Lohr
openaire   +1 more source