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The counterfactual decomposition technique popularized by Blinder (1973) and Oaxaca (1973) 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. The presentThe Blinder-Oaxaca decomposition was used to quantify the contribution of explanatory variables to the gap in the prevalence of HIV infection between female and male. Results The age-adjusted proportion of HIV infection was 9.45% (95%Cl: 9.02, 9.87). The absolute gap in the prevalence of HIV infection between male and female was 4.50% (95% CI ...Blinder-Oaxaca decomposition ADDITIONAL MODELS xtline plot tsline plot ivregress ivreg2 instrumental variables pca principal components analysis factor factor analysis poisson • nbreg count outcomes tobit censored data built-in Stata command rd regression discontinuity25 thg 1, 2023 ... Relevant books, articles, theses on the topic 'Blinder-Oaxaca decomposition.' Scholarly sources with full text pdf download.

Main text Blinder-Oaxaca (B-O) decomposition method. Sometimes it is essential to decompose the mean difference in a specific... Nonlinear extension of B-O decomposition method. Although the primary application of the proposed B-O decomposition is... Detailed decomposition. In the detailed ...Sex-related Disparities in Access of Patients with STEMI to PCI Hospitals in Brazil: The Contribution of Blinder-Oaxaca Decomposition Method. Journal of Health Management 2020 | Journal article DOI: 10.1177/0972063420908357 WOSUID: WOS:000525189200001 Contributors ...The Blinder-Oaxaca decomposition is often used to study labor-market outcomes by groups, such as the gender wage gap experienced by women. For example, wages can be modeled as the dependent variable, while the explanatory variables may include education and prior experiences.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 relative racial …

Oaxaca-Blinder decomposition (Oaxaca 1973; Blinder 1973) in which the ''unexplained component'' could be interpreted as the average treatment effect if we decided to invoke the potential outcome model (see, e.g., Holland 1986; Imbens and Wooldridge 2009). Since it is preferable to treatThe Blinder-Oaxaca decomposition found that a large proportion (71%, −0.5 explained of −0.7 net difference) of the difference between Black and White patients in baseline adverse effects was associated with the difference in observed patient characteristics. Unlike the other composite scores, we did not find evidence of unexplained higher ...Abstract. Recently, papers have started combining the naming of two popular decomposition methods: the Oaxaca-Blinder method and the Kitagawa method, a popular method in demographics and sociology. Although the two approaches have the same objective in terms of decomposing outcome differences in some variable of interest between two populations ... ….

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24apr2023 (version 4.1.1) - various improvements of how the estimation sample and associated information is handled o if option -svy- is applied, information such as e(N_pop), e(N_psu), etc. is now also returned and displayed if -suest- or -nose- is specified; observations with zero weights are now consistently counted in e(N), e(N_1) and e(N_2); number of groups in by() is checked …ABSTRACT. Between 2006 and 2014, Vietnam experienced a true information technology revolution. In rural areas, mobile phone ownership increased from 18% to 89%. I use a panel dataset from this period to study the 'digital divide' between the ethnic majority group and ethnic minorities. I find that underprivileged ethnic minorities are lag ...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 relative racial bias of these tests. The Armed ...

The Blinder-Oaxaca decomposition approach is used to estimate the amount of any unexplained gender pay gap. Because of this, it could be a useful technique when looking at gaps by category and the ...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. We further demonstrate how the standard errors of ...

john mcclendon Table 4 Blinder-Oaxaca decomposition for selected risk factors of women health-related quality of life for rural urban Ethiopia Full size table In this study, the mean predicted HRQoL among women was 40.956 for women residing in urban (group_1) and − 4.829 for women residing in rural (group_2) Ethiopia, which yields a HRQoL disparity of 45.785.The Blinder-Oaxaca decomposition was developed in order to detect and characterize discriminatory treatment, and one of its most frequent use has been the study of wage discrimination. It recognizes that the mere difference between the average wages of two groups may not mean discrimination (in a very wide sense of the word), but the difference ... dyson handheld vacuum battery replacement2girls 1 sandbox The Oaxaca-Blinder decomposition is widely used in other fields, but remains under-utilized in the obesity literature. We provide algebraic and graphical illustrations of the decomposition, and further illustrate it with an example using data for white and black respondents in Mississippi and Alabama. BMI is the outcome of interest. joel embiid's Class to perform Oaxaca-Blinder Decomposition. Parameters: ¶ endog array_like. The endogenous variable or the dependent variable that you are trying to explain. exog array_like. The exogenous variable(s) or the independent variable(s) that you are using to explain the endogenous variable. bifurcate {int, str} sony cmt ex1 compactwhere to watch big 12 tournamentti 83 or ti 84 Dear All, I wish to carry out detailed Blinder-Oaxaca variable-level decompositions for a Tobit regression. Can anyone suggest a useful "ado" script? I have been using the excellent "oaxaca.ado" by Ben Jann but this does not accommodate tobit estimation. "oaxaca.ado" is excellent because it includes detailed decompositions for each variable and ...Theorem 1.(Lin’s result, informal) Let n 1 be the size of the treatment group, and let n 0 be the size of the control group. If min(n 0;n 1) ˛d, then we have p n(^˝ ˝) _˘N(0;˙2) (2) where ˝ is the sample average treatment e ect. Moreover, ^˝ is at least as e cient as Ney- indeed manufacturing jobs near me There has been considerable interest in using decomposition methods in epidemiology (mediation analysis) and economics (Oaxaca-Blinder decomposition) to understand how health disparities arise and how they might change upon intervention. It has not been clear when estimates from the Oaxaca-Blinder decomposition can be interpreted causally ... chicagomanualofstylebenihana standard vs bar seatingparartemiopsis shangrilaensis A Blinder-Oaxaca decomposition analysis is conducted to decompose the rural-urban differences in child nutrition outcomes into two components; one that is explained by regional differences in the level of the determinants (covariate effects), and another component that is explained by differences in the effect of the determinants on the child ...