Results 161 to 170 of about 587,505 (193)

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. For example, the technique is often used to analyze wage gaps by sex or race.
Ben Jann
exaly   +6 more sources

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

The Stata Journal, 2008
In this article, a general Blinder–Oaxaca decomposition for nonlinear models is derived, which allows the difference in an outcome variable between two groups to be decomposed into several components. We show how, using nldecompose, this general decomposition can be applied to different models with discrete and limited dependent variables.
Thomas K. Bauer, Mathias Sinning
exaly   +6 more sources

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Azerbaijan Housing Market At The Harmony Of Blinder-Oaxaca Decomposition and Mechanism Design

SSRN Electronic Journal, 2020
Being argumentative in nature and referring to Oaxaca Decomposition for the purpose of defining the main drivers of rental flats and houses, be new, old, repaired, or unrepaired, together with applying the difference in difference method to evaluate the effectiveness of the policy, this paper calls into the question of how to inaugurate a country ...
Nargiz Mammadova, Aygun Malikova, Arzu Heydarova   +2 more
  +5 more sources

Blinder–Oaxaca decomposition applied to sensory and preference data

Food Quality and Preference, 2010
Abstract When equivalent regressions (same independent variables, same dependent variable) are applied to two different populations, Blinder–Oaxaca decomposition allows to estimate how much of the difference between means of the dependent variable can be explained by the differences between means of the independent variables.
Amparo Tarrega, Inmaculada Carbonell, S Bayarri   +2 more
exaly   +2 more sources

Insights from the Blinder—Oaxaca Decomposition on Polarization in the US Senate

Quarterly Journal of Political Science, 2021
I study the change in polarization in the US Senate from the period 1947–1966 to 1995–2014. I use a decomposition approach to quantify how much of the increase in polarization between those two periods can be explained by the representation relationship with all voters versus the representation relationship with copartisans.
openaire   +1 more source

oaxaca: Blinder-Oaxaca Decomposition in R

SSRN Electronic Journal, 2014
This article introduces the R package oaxaca to perform the Blinder-Oaxaca decomposition, a statistical method that decomposes the gap in mean outcomes across two groups into a portion that is due to differences in group characteristics and a portion that cannot be explained by such differences.
openaire   +1 more source

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

2003
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.
Fairlie, Robert W., Fairlie, Robert W.
openaire   +1 more source

Is franchising an additional financing source for franchisors? A Blinder–Oaxaca decomposition analysis

Tourism Economics, 2018
Numerous studies have used agency theory (Jensen and Meckling, 1976) and capital scarcity theory (Oxenfeldt and Kelly, 1969) to explain franchising motivations. Although both theories may in part account for why firms choose to franchise, past studies have not seriously considered the potential relationship between franchising and capital structures ...
Kwangmin Park, SooCheong (Shawn) Jang
openaire   +1 more source

A computational trick for calculating the Blinder-Oaxaca decomposition and its standard error [PDF]

Economics Bulletin, 2007
To compute the Blinder-Oaxaca decomposition and associated standard errors a practitioner needs to be comfortable using vector and matrix software manipulations. This paper proposes a computational trick for producing these computations by running an artificial regression.
Peter Kennedy, Jutta Heinrichs
openaire  

Using the Blinder-Oaxaca Decomposition Method to Measure Racial Bias in Achievement Tests

The Review of Black Political Economy, 2013
The Blinder-Oaxaca decomposition technique is typically applied to gender or racial earnings gaps with the goal of determining the percent of the gap that can be attributed to differences in attributes between groups and to labor market discrimination.
Kevin Duncan, Jonathan Sandy
openaire   +1 more source