Blinder oaxaca decomposition
Abstract. This paper investigates gender differences in smoking behavior using data from the German Socio-economic Panel (SOEP). We develop a Blinder-Oaxaca decomposition method for count data models, which allows to isolate the part of the gender differential in the number of cigarettes daily smoked that can be explained by differences in ...Common assumptions about the form of Ω: The decomposition equations proposed by Blinder (1973) and Oaxaca (1973) represent special cases of the generalized equation in which Ω is a null-matrix or equal to I. Reimers (1983): Ω = (0.5)I. Cotton (1988): Ω = sI, where s denotes the relative sample size of the majority group.Apr 24, 2023 · Ben Jann, 2008. " OAXACA: Stata module to compute the Blinder-Oaxaca decomposition ," Statistical Software Components S456936, Boston College Department of Economics, revised 24 Apr 2023. Note: This module should be installed from within Stata by typing "ssc install oaxaca". The module is made available under terms of the GPL v3 (https://www ...
Did you know?
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.Third, a Blinder-Oaxaca decomposition analysis further confirmed that those factors could explain the major parts of the digital outcome divide between urban and rural students and that e-learning self-efficacy, intrinsic motivation, and parental support were the most dominant factors contributing to the rural-urban digital outcome divide in ...The vast majority of existing studies that estimate the average unexplained gender pay gap use unnecessarily restrictive linear versions of the Blinder-Oaxaca decomposition. Using a notably rich and large data set of 1.7 million employees in Switzerland, we investigate how the methodological improvements made possible by such big data affect estimates of the …The first component mirrors the cross-sectional endowment component of the twofold decomposition. We immediately see, however, that it violates the formal condition that no term is to be restricted across groups (coefficient β s).It therefore imagines a situation in which there would not have been differences in the coefficients at time s, something that is beyond a potential intervention ...The Blinder-Oaxaca decomposition shows that most productivity gap is driven by average driving speed and average trip length. These results indicate that although the productivity gap exists in the ride-hailing market, male drivers do not seem to be more capable than their female counterparts in any aspect that ride-hailing companies care aboutMin Zhou, Wei Guo Comparison of second-child fertility intentions between local and migrant women in urban China: a Blinder-Oaxaca decomposition, Journal of Ethnic and Migration Studies 47, no.11 11 (Jun 2020): 2417-2438.plications, the Blinder-Oaxaca decomposition has been used in numerous studies of wage-difierentials between males and females or between difierent ethnic groups (Al-tonji and Black 1999). In these studies, the unexplained part of the decomposition is interpreted as discrimination.4 The Blinder Oaxaca Decompositions In this section we report detailed Blinder-Oaxaca decompositions for the North-South differences in average percentage sickness absence (PercentAbs) by gender. We carry out the analysis of females and males separately because the impact of demographic characteristics can be quite different on these two …Blinder - Oaxaca decomposition revealed the importance of and satisfaction with the news that . viewers felt, and their viewing frequency increased after the pandemic, as did WTP. The ndingsKeywords. This paper develops a general Blinder–Oaxaca decomposition that allows the differences in an outcome variable between two groups to be decomposed into (i) a part that is explained by differences in observed characteristics and (ii) a part attributable to differences in the estimated coefficients also for nonlinear regression models.Blinder- Oaxaca Decomposition Technique ILLUSTRATION. Suppose that only years of schooling affect the determination of wages for men and women. The illustration...Blinder-Oaxaca decomposition tools identify various sources of health disparities and their changing roles in the midst of rapid educational expansion. Financial factors consistently contribute to disparities in healthcare utilization. Literacy, on the other hand, plays a contingent role: once formal education becomes prevalent, literacy ...We utilize OLS regressions, Blinder-Oaxaca decomposition, and Juhn-Murphy-Pierce decomposition to make a comprehensive analysis of the contributing factors to the GPG. By 2013, conventional human capital variables explained little of the GPG. Gender differences in location (ownership, occupation, and industry) were important, although the ...The vast majority of existing studies that estimate the average unexplained gender pay gap use unnecessarily restrictive linear versions of the Blinder-Oaxaca decomposition. Using a notably rich and large data set of 1.7 million employees in Switzerland, we investigate how the methodological improvements made possible by such big data affect estimates of the …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. We apply this technique to the racial gap in achievement tests with the goal of measuring the ...Decomposition of intergroup differences into 2 components is exclusive to the Oaxaca method and is not seen in other decomposition methods . The common Blinder-Oaxaca decomposition method is based on 2 linear regression models that are fit separately for the 2 population groups (in this case, high and low economic groups) ( 6 ).Lastly, we extend the Kitagawa-Blinder-Oaxaca decomposition with age 16 test scores from national, compulsory school leaving exams (GCSEs). This exercise is not straightforward, because as discussed earlier, test scores at age 16 could already be the consequence of having different non-cognitive skills at age 13. Note that the educational ...
Blinder-Oaxaca Decomposition. From the OLS results, we adopt the specification in column (6) and perform the decomposition analysis. Table 11.4 records the overall and intra-socioreligious gender gap in earnings (column D). Then these gaps are decomposed into (1) gap due to endowment (column E), (2) gap due to coefficients (column C), and (3 ...The Fairlie decomposition method (extension of Blinder-Oaxaca [BO] decomposition) was applied to gain a more in-depth understanding on the utilization variation in psychotropic polypharmacy between patients who had been versus those who had not been treated by a psychiatrist.33-36 The approach disaggregates the unadjusted difference into (1 ...Blinder-Oaxaca decomposition method shows that there exist health inequalities between STs and SCs women. Difference in household income contributes 21-34 percent and women's education 19-24 percent in the gap of utilization of maternal healthcare services between SCs and STs women. A substantial part of this difference is contributed by ...Downloadable! The Kitagawa–Oaxaca–Blinder decomposition approach has been widely used to attribute group-level differences in an outcome to differences in en- dowment, coefficients, and their interactions. The method has been implemented for Stata in the popular oaxaca command for cross-sectional analyses. In recent decades, however, research questions have been more …
We analyze four methods to measure unexplained gaps in mean outcomes, three based on the decomposition methods of Oaxaca, 1973, Blinder, 1973 and one based on a pooled regression with a group indicator variable. Our analysis yields two principal findings. We show that, in the case of a single observable characteristic, the coefficient on the ...The decomposition method developed by Blinder (1973) and Oaxaca (1973), and gen- eralized by Neumark (1988) and Oaxaca and Ransom (1988, 1994), allows the decom- position of outcome variables between two groups into a part that is explained by differences in observed characteristics and a part attributable to differences in the es- timated coeff...The vast majority of existing studies that estimate the average unexplained gender pay gap use unnecessarily restrictive linear versions of the Blinder-Oaxaca decomposition. Using a notably rich and large data set of 1.7 million employees in Switzerland, we investigate how the methodological improvements made possible by such big data affect ...…
Reader Q&A - also see RECOMMENDED ARTICLES & FAQs. the authors, and other times they refer to it as Oaxaca-Bl. Possible cause: An often used methodology to study labor-market outcomes by groups (sex, r.
Ensuing from the seminal works of Oaxaca and Blinder (Blinder 1973; Oaxaca 1973), the Blinder–Oaxaca (BO) decomposition methods have been widely …Blinder-Oaxaca decomposition method, and provides an example of validly applying propensity score-based methods (mostly used in causal settings) to gender wage gap decomposition, a non-causal setting. Making use of this new method, I analyze a nationally representative sample from the Baccalaureate and Beyond Longitudinal
Here is a part of the output: Blinder-Oaxaca decomposition Number of obs = 1076 Model = linear Group 1: east = 0 N of obs 1 = 690 Group 2: east = 1 N of obs 2 = 386 ----- flit3 | Coef. Std. Err.the Tobit-Blinder-Oaxaca decompositions described in equations (7) and (8)1. To be able to test the difierent decomposition results against each other, we obtained standard errors for the decomposition parts by bootstrapping with 1000 replications. Table 1 reports the results from this analysis. The estimated coe–cients of theThe 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. The technique cannot be used directly, however, if the outcome is ...
24apr2023 (version 4.1.1) - various improvemen 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. so that the decomposition results do not change depending on the user’s choice of the reference category (Gardeazabal and Ugidos, 2004). data a data frame containing the data to be used in the Blinder-Oaxaca decomposi-tion. group.weights a vector of numeric values between 0 and 1. These values specify the weight Blinder-Oaxaca decomposition (Blinder 1973; OI would like to make a Oaxaca Decomposit Percent contribution of these three factors in the concentration index and Blinder-Oaxaca decomposition was 41.1% vs. 43.4%, 25.4% vs. 19.1% and 15.2% vs. 16.2%, respectively. Other factors ...The Blinder-Oaxaca decomposition technique has provided a practical way to apply economist Gary Becker ’ s (1971) definition of discrimination as unequal treatment among equivalent people due to race or gender. This decomposition technique has become a basic tool for studying racial and gender wage differentials and discrimination, and it has ... Background: According to latest available data there are more of 300,0 Blinder-Oaxaca decomposition estimates and discuss an example of when the Blinder-Oaxaca technique may be problematic. The non-linear decomposition technique described below may be useful for identifying the causes of racial, gender, geographical or other categorical differences in a binary outcome in which a logit or probit model is used. 2 2. The Blinder–Oaxaca decomposition (BOD) is a popular method for studying the contributions of explanatory factors to social inequality. The results have often been given causal interpretations. While recent work and this article both show that some types of BOD are equivalent to a counterfactual-based treatment effect/selection bias ... Our Kitagawa-Blinder-Oaxaca decomposition found a posThe balanced equation of the decomposition reaction oThe Blinder-Oaxaca decomposition was developed i According to the Blinder-Oaxaca decomposition analysis, the high proportion of the depressive symptom gap can be explained by years of education, income, and exercise among different main residential locations groups. In addition, in the main parts of the explained differences, the proportions of the limitation of activities of daily living (2. ...where n denotes the number of observations, h i is the health variable, μ is the mean of h, and \({\mathrm{R}}_{i}-\frac{1}{2}\) is the fractional socioeconomic rank, ranging from the poorest to the richest [].. Blinder-Oaxaca decomposition. Given the difference in relative OOP health expenditure across individuals with and without chronic illness, we further ascertained the factors that ... The data was analyzed using the Tobit est Jun 29, 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 Blinder-Oaxaca decomposition method was a[I would like to make a Oaxaca Decomposition in R. It is used The Blinder-Oaxaca decomposition methodology can be v Blinder-Oaxaca decomposition using unconditional quintile regression models to decompose wage differentials along the entire wage distribution (Firpo et al. 2007). This method allowed for the decomposition of the wage differential for any quintile at the mean in the same way as in the standard Blinder-Oaxaca decomposition.Liliane Bonnal & Rachid Boumahdi & Pascal Favard, 2013. " The easiest way to estimate the Oaxaca-Blinder decomposition ," Applied Economics Letters, Taylor & Francis Journals, vol. 20 (1), pages 96-101, January. This article studies the relation between the Oaxaca-Blinder decomposition and the estimated coefficient of a dummy variable for a ...