Oaxaca decomposition. This paper proposes an empirical likelihood inference met...

The counterfactual decomposition technique popularized by Blinder

Khalis, the -oaxaca- package has an extensive help file (including a "Methods and Formulas" Section). See . help oaxaca Possibly also read some of the cited literature. ben On Fri, Apr 18, 2008 at 2:23 PM, <[email protected]> wrote: > Hello statalist members, > > I'm new to statistics and Stata.First oaxaca estimates 2 seperate OLS regressions for male and female wage equations, and then using a transformation alters them in the following way: Male wage eq: Y m = X m B m +u m. Female wage eq: Y f = X f B f +u f. Decomposition: Ym - Yf = (Xm - Xf)Bm + (Bm - Bf) Xf. In my regression Y is ln (hourlywage), X is the endowments, B the beta ...Blinder-Oaxaca Decomposition Description. oaxaca performs a Blinder-Oaxaca decomposition for linear regression models (Blinder, 1973; Oaxaca, 1973). This statistical method decomposes the difference in the means of outcome variables across two groups into a part that is due to cross-group differences in explanatory variables and a part that is due to differences in group-specific coefficients.For illustrative purposes, consider the example given on p. 473 of Jann (2008).However, instead of the difference and coefficients noted, let's assume the difference and coefficients were the following:This 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.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 ...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 ...We decomposed gender differences in cognitive functioning using the Blinder–Oaxaca decomposition method [57, 58]. This method was originally developed for labour economics, to decompose average wage differences among genders or races into endowment effects , which denote distributions of individual attributes, and residual effects which ...Since then, the Oaxaca-Blinder decomposition has been one of the most widely used models for understanding what may be attributed to observable and non-observable characteristics between two groups. A simplified version of their model decomposes intergroup differences in two parts. The decomposition aims to understand what part of the ...We propose to estimate the Blinder-Oaxaca decomposition by a single-equation model augmented with interactions between the group membership and other predictors. The relative importance of predictors on the discriminatory wage gap is examined by the interaction coefficients, which may lead to very different conclusions than the usual percentage ...Linden Consulting Group, LLC. Let me update my previous response and add some detail: Stata Journal 8 (4):480--492 introduces the Blinder-Oaxaca decomposition for nonlinear regression models ...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 ...The decomposition results indicate only that there are different components which increase and decrease the outcome gap at the same time. Furthermore, the weighting of these components matters for the interpretation, as indicated by the difference between Omega=1 and Omega=0. So you might want to run the decomposition with the option "omega ...ABSTRACT. Does regional decentralization threaten the commitment to regional equality in government outcomes and outputs? We attempt to shed a light on this question by drawing on unique evidence from the largest European unitary states to have engaged in countrywide health system decentralization: Italy and Spain.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. The technique cannot be used directly, however, if the outcome is ...The decomposition of group di erences in means (Kitagawa 1955; Oaxaca 1973; Blinder 1973) is a popular tool when researchers seek to attribute such di erences to di er- ences in the groups ...were the most important contributors of inequality in both concentration index and Blinder-Oaxaca decomposition. 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 including gender, marital status, employmentAn Oaxaca-Blinder decomposition of moderate PA housework time is employed to assess what fraction in the overall change in time during the 1985 to 2017 period is attributable to changes in the ...Khalis, the -oaxaca- package has an extensive help file (including a "Methods and Formulas" Section). See . help oaxaca Possibly also read some of the cited literature. ben On Fri, Apr 18, 2008 at 2:23 PM, <[email protected]> wrote: > Hello statalist members, > > I'm new to statistics and Stata.The Blinder–Oaxaca decomposition, also known as Kitagawa decomposition, is a statistical method that explains the difference in the means of a dependent variable between two groups by decomposing the gap into that part that is due to differences in the mean values of the independent variable within the groups, on the one hand, and group differen...1. Introduction. Since the seminal works by Oaxaca (1973) and Blinder (1973), the Oaxaca-Blinder (hereafter, OB) decomposition has been widely used in empirical economic analyses to investigate differences in mean outcomes between groups (see, For tin, Lemieux and Firpo, 2011, for an overview). The OB decompositions are typically obtained as ...Panel data methods were combined with an Oaxaca decomposition to investigate the gender differences in resource endowment and return to endowment driving this gap. Although men have greater access to inputs, input use is so low and inverse returns to plot size so strong in Uganda that smaller female-managed plots have a net endowment …Furthermore, we used the Blinder-Oaxaca decomposition analysis to identify municipal-level exposure and vulnerability factors that contributed to ethnic disparities and how the contributions of these factors changed across the three initial waves of infection. Two clear results emerged. First, in NJ, the COVID-19 infection risk ...The Blinder-Oaxaca decomposition has been a valuable tool for the analysis of wage gaps since its con-ception in the early 1970s (Blinder, 1973 and Oaxaca, 1973). It decomposes the differences in earnings between two groups into two additive elements: one attributed to the existence of differences in observableThe 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. In recent decades, however, research questions ...Nonlinear Decomposition Code – Robert Fairlie. I created a decomposition technique for logits, probits and other nonlinear models based on the linear Blinder-Oaxaca decomposition technique. The decomposition technique is useful for explaining the causes of racial and gender inequality in outcomes. Original Application: Fairlie, Robert W. 1999. 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 …The authors investigate whether a profitability gap exists between beginning farmers entering the industry ex novo and those operating a preexisting operation and if so, what factors contribute to the gap.,The authors utilize the Blinder-Oaxaca decomposition to determine what drives financial differences between first-generation beginning ...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 ...Blinder-Oaxaca decomposition technique, more than 1000 citations to these two articles were found in the Social Sciences Citation Index. The Blinder-Oaxaca decomposition technique is especially useful for identifying and quantifying the separate contributions of group differences in measurable characteristics, such asTable A1: Detailed Blinder Oaxaca decomposition of the gender pay gap, across job wage quintiles and EU countries, 2014. List of figures. Figure 1: Population–occupation pyramids for six European countries, 1995 (thousands) Figure 2: Overall change in the working-age population between 1995 and 2019 by nationality and …The Blinder-Oaxaca decomposition, also known as Kitagawa decomposition, is a statistical method that explains the difference in the means of a dependent variable between two groups by decomposing the gap into that part that is due to differences in the mean values of the independent variable within the groups, ...For the purpose, we used the extension of Blinder-Oaxaca decomposition analysis known as the non-linear decomposition (Fairlie) technique. This technique is useful in explaining the gap in outcome between the two population groups (Blinder 1973; Oaxaca 1973). This gap is most glaring in comparative and nationally representative studies of ...A Blinder–Oaxaca decomposition is used to quantify the sources of the inequalities between the two groups into two components; one that is explained by regional differences in the level of the determinants, and another part that is explained by differences in the effect of the determinants of the child nutritional status. ...The Blinder-Oaxaca decomposition method was then used, which acts as the average difference of results between different groups. The depressive symptom gap between the two groups was divided into two parts, namely, the "explained" group difference and the difference of other factors that cannot be explained (14, 15, 33). The model is ...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 method has been implemented for Stata in the popular oaxaca command for cross-sectional analyses. In recent decades, however, research questions ... Using Blinder-Oaxaca decomposition as well as Recentered Influence Function (RIF) quintile decomposition analysis, it is observed that there is a male bias in wages in both the categories, namely, regular and casual workers. Female workers are also at a disadvantaged position via-a-vis male counterparts, and there is considerable disparity ...Results of the Oaxaca decomposition by gender of pigeonpea plot manager. In Table 5, we present the Oaxaca decomposition estimates for the differential in log values of pigeonpea output per hectare between plot managed by male and plot managed by a female. The results show that the gender gap is 29% in favour of the male managers, suggesting ...Theoretical Framework Blinder-Oaxaca Decomposition for Linear Models 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 …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.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 …statsmodels.stats.oaxaca.OaxacaBlinder¶ class statsmodels.stats.oaxaca. OaxacaBlinder (endog, exog, bifurcate, hasconst = True, swap = True, cov_type = 'nonrobust', cov_kwds = None) [source] ¶. Class to perform Oaxaca-Blinder Decomposition. Parameters: ¶ endog array_like. The endogenous variable or the dependent variable that you are trying to explain.Theoretical Framework Blinder-Oaxaca Decomposition for Linear Models 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 …high-dimensional fixed effects. Finally, the third command, oaxaca_rif, is a wrapper around oaxaca (Jann 2008) that can be used to implement standard and reweighted OB decompositions (see Fortin, Lemieux, and Firpo [2011] and Firpo, Fortin, and Lemieux [2018]). The rest of this paper is structured as follows.For the reweighted standard decomposition, oaxaca_rif first fits the probability model, then estimates the reweighting factor ω(X), and then obtains the RIFs for the three scenarios. The decomposition output is obtained from two separate decompositions to identify the four components detailed in (26).The Oaxaca-Blinder Decomposition. The Oaxaca-Blinder (OB) decomposition is a regression . decomposition method that allows us to break down . the factors associated with the mean labor income gap .Econometric Decomposition. Ronald Oaxaca (1973) and Alan Blinder (1973) introduced a statistical tool that enables social scientists to identify the ability of a particular observable characteristic to explain the difference in the outcomes of two groups (e.g., the black-white wage gap). The tool, known as a decomposition, provides an estimate ...The decomposition of group di erences in means (Kitagawa 1955; Oaxaca 1973; Blinder 1973) is a popular tool when researchers seek to attribute such di erences to di er- ences in the groups ...6 R.L. Oaxaca and M.R. Ransom, Discrimination and wage decomposition Cotton assumes that the wage structure that would exist in the absence of discrimination is the simple weighted average of the ...I am new here and I would like to seek your advice on how to interpret Oaxaca-Blinder decomposition results. Specifically, I want to explain differences in depression between two countries (A and B). In this exercise I use -Oaxaca- command (introduced by Ben Jann in 2008) with options -logit- and -weight (1) specified.Empirical Modal Decomposition is an adaptive technique for the analysis of non-linear and non-stationary processes, which makes it ideal for the detection of disturbances generated by random ...Most of the literature on gender wage gaps, using decomposition methods such as the Blinder-Oaxaca decomposition, typically ignores selection bias. Some of the most recent studies on this topic ...The gender decomposition examines while using the basic models of each specification by the mean, the coefficient (Kingdom, 2005), and the interactions of the boy dummy variable (Maitra, 2003). Furthermore, the results are decomposed for gender effects by variant type Oaxaca decomposition (Dong et al., 2009 ; Golsteyn et al., 2014 ; Pal, …The Blinder-Oaxaca decomposition was employed to identify and quantify how these factors contributed to a measured food insecurity gap, thus investigating the drivers of regional differences in food insecurity. The importance of regional balance is a critical element in the fight against food insecurity in Kenya. This study investigated the …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 especially wage, earnings and other labor market outcomes.oaxaca, by Ben Jann; decomp, by Ian Watson; and gdecomp, by Tam´as Bartus. The following section sets out the theoretical framework of the Blinder–Oaxaca decomposition for linear and nonlinear models, taking into account extensions of the original decomposition method that have been applied in the literature. The syntax 2. The original Blinder—Oaxaca decomposition used b w0 instead of the average coefficient, (b w0 + b m0)/2, assuming b w0 is a true market price and b m0 is a result of discrimination, thus group m will receive b w0 in the absence of discrimination. This assumption overlooks that b w0 itself is an endogenous product of market discrimination. Much of the early …Oaxaca Abstract Gender Wage Discrimination in the Turkish Labor Market: A Blinder-Oaxaca Decomposition Method Cultural structures, traditions and discrimination are importantfactors affecting the participation offemales in the labor market. These factors also affect female wages and lead to wage a discrimination against females.A Radical Critique of Oaxaca-Blinder Decomposition. This text proposes a radical critique of Oaxaca-Blinder decomposition applied to wage inequalities. This method decomposes the difference in wage between two groups into a portion that is 'explained' by differences in ability, and an 'unexplained' portion referred to as discrimination ...Blinder-Oaxaca decomposition is a statistical method that can be used to quantify how much of the wage differential between two groups can be explained by various control factors. The control variables used in this study are consistent with traditional economic explanations of the gender wage gap; namely, gender differences in human …One technique I was looking at for showing this was running an Oaxaca-Blinder decomposition between two different countries. I was wondering if anyone could help me with two questions I had regarding this. If comparing average growth rates between two countries in a certain time span, is it better to use GDP growth rates, or take the first ...Journal of Econometrics 61 (1994) 5-21. North-Holland On discrimination and the decomposition of wage differentials* Ronald L. Oaxaca University, of Arizona, Tucson, AZ 8572/, USA Michael R. Ransom Brigham Young University, Provo, UT 84602, USA In this paper we examine four alternative methods for estimating the extent of labor market ...The gender decomposition examines while using the basic models of each specification by the mean, the coefficient (Kingdom, 2005), and the interactions of the boy dummy variable (Maitra, 2003). Furthermore, the results are decomposed for gender effects by variant type Oaxaca decomposition (Dong et al., 2009 ; Golsteyn et al., 2014 ; Pal, …Econometric Decomposition. Ronald Oaxaca (1973) and Alan Blinder (1973) introduced a statistical tool that enables social scientists to identify the ability of a particular observable characteristic to explain the difference in the outcomes of two groups (e.g., the black-white wage gap). The tool, known as a decomposition, provides an estimate ...There has been a surge of methodologies extending the Oaxaca (1973) and Blinder (1973) decomposition of differences at the mean to decomposition of the whole distribution. Juhn et al. (1993, JMP hereafter) have proposed a simple extension of the Oaxaca decomposition by taking account of the distribution of residuals. A problem of this ...This study therefore, is set out to investigate the poor and the non- poor welfare inequalities in Malawi based on fourth Integrated Household Survey. It has been found that socio-economic and demographic factors do influence household consumption in both the poor and the non- poor. In addition, the B-O decomposition has helped in identifying ...Oaxaca Decomposition. Taking into account the utility of regression based decomposition analyses, we have also used the Oaxaca decomposition model which is appropriate for binary models to decompose the gender differences in child survival into relative contribution attributable to explanatory factors . Mathematically, Oaxaca decomposition is ...Nonlinear Decomposition Code – Robert Fairlie. I created a decomposition technique for logits, probits and other nonlinear models based on the linear Blinder-Oaxaca decomposition technique. The decomposition technique is useful for explaining the causes of racial and gender inequality in outcomes. Original Application: Fairlie, Robert W. 1999. The Blinder-Oaxaca decomposition would then also indicate that $0.94 of the unexplained part originates from discrimination in favor of native Hispanic workers (component “unexplained A ...The Oaxaca decomposition quantifies the contribution of each factor to the gap in the outcome, thus identifying which factors contribute most to generating inequality between the two groups . To the best of our knowledge, the current study is the first to examine the disparity in child malnutrition using Oaxaca decomposition in Egypt, Jordan ...This paper analyzes the determinants of income and the urban-rural income gap to highlight the urban-rural inequality problem in Cameroon. It concurrently uses the OLS regression, the conditional quantile regression as well as the Blinder-Oaxaca decomposition techniques to achieve this objective. The findings of OLS estimations show that human …The Blinder-Oaxaca decomposition is a statistical method that decomposes differences in mean outcomes across two groups into a part that is due to group differences in the levels of explanatory variables and a part that is due to differential magni-tudes of regression coefficients.Blinder-Oaxaca Decomposition Description. oaxaca performs a Blinder-Oaxaca decomposition for linear regression models (Blinder, 1973; Oaxaca, 1973). This statistical method decomposes the difference in the means of outcome variables across two groups into a part that is due to cross-group differences in explanatory variables and a part that is due to differences in group-specific coefficients.Blinder-Oaxaca decomposition is a statistical method that can be used to quantify how much of the wage differential between two groups can be explained by various control factors. The control variables used in this study are consistent with traditional economic explanations of the gender wage gap; namely, gender differences in human …Jul 17, 2023 · Third, the Blinder-Oaxaca decomposition method demonstrated that data literacy and ICT skills were the most important determinants of the divide in digital teaching competence between rural and ... 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.Fairlie, Robert W. 2017. "Addressing Path Dependence and Incorporating Sample Weights in the Nonlinear Blinder-Oaxaca Decomposition Technique for Logit, Probit and Other Nonlinear Models," Stanford University (SIEPR) WP. Example Decomposition Programs for SAS. New Versions that Address Path Dependence and Incorporate Sample Weights.Methodologically, he develops a new version of the Oaxaca-Blinder decomposition, in which the unexplained component recovers a parameter referred to as the average outcome gap. Under additional assumptions, this estimand is equivalent to the average treatment effect. Finally, the author reinterprets the Reimers, Cotton, and Fortin ...The Blinder-Oaxaca decomposition analysis was conducted to quantify the contributions of individual characteristics in explaining the observed mortality differences between adults with no PD and those with SPD.30,31 While regression analysis reveals the association between mortality and its risk factors, the decomposition analysis allows to ...An Oaxaca-Blinder decomposition of moderate PA housework time is employed to assess what fraction in the overall change in time during the 1985 to 2017 period is attributable to changes in the ...Blinder-Oaxaca decomposition is a straightforward statistical method that emerged in the econometrics literature as a way to explain differences observed between groups with respect to the mean of a continuous variable. To give a few examples, the procedure has been used to investigate potential pay differentials between males and females, or whether health disparities exist amongst ...The determinants of this inequality were determined by the Oaxaca Blinder decomposition. Results: Overall, 36,529 students completed the study (response rate: 91.32%); 50.79% of whom were boys and 74.23% were urban inhabitants. The mean (standard deviation) age was 12.14 (3.36) years. The prevalence of overweight, generalized obesity, and ...Building Up and Breaking Down: Geology and Decomposition - Decomposition is a natural process that breaks down organisms after they die. Learn more about how the process of decomposition breaks down organisms. Advertisement If you've read H...We implemented an Oaxaca-Blinder decomposition to explain differences in BMI Z-score and obesity between Māori (n = 63,061) and European (n = 139,546) children, and Pacific (n = 21,527) and ...The decomposition method outlined in this chapter, known as the Oaxaca decomposition (Oaxaca 1973), explains the gap in the means of an outcome vari- able between two groups (e.g., between the poor and the nonpoor).On Wed, Mar 12, 2014 at 3:03 AM, Vaidyanathan Ganapathy <[email protected]> wrote: > Dear Statalisters, > > I am performing an Oaxaca type decomposition to understand the > healthcare cost differences between two groups - controls and > premature infants.The decomposition of group di erences in means (Kitagawa 1955; Oaxaca 1973; Blinder 1973) is a popular tool when researchers seek to attribute such di erences to di er- ences in the groups ...Figure 2 reports the decomposition results for the gender wage gap using the Oaxaca-Blinder Decomposition (column 1) and the RIF-Regression Decomposition (columns 4 to 6) when males are used as the reference group. On the first row, the Oaxaca-Blinder Decomposition shows that men earn approximately 26% more than women.Blinder-Oaxaca decomposition analysis Nhung Le Thi Kim Faculty of Finance and Banking, Thuongmai University, Hanoi, Vietnam Daphne Duvernay Toulon University, La Garde, France, and Huyen Le Thanh Faculty of Finance and Banking, Thuongmai University, Hanoi, Vietnam AbstractThis decomposition research is guided by the Juhn et al. decomposition model, which extends the usual Blinder-Oaxaca decomposition by taking into account the residual distribution. Following this method, this study will decompose test score gaps between males and females to analyze how much of the test score gap can be "predicted" by .... decomposition technique, I do not focus on this "unexplained&qudecomposition of gross differentials. The decomposition meth Documents. Jann Oaxaca. of 25. ETH Zurich Sociology Working Paper No. 5 A Stata implementation of the Blinder-Oaxaca decomposition Ben Jann May 2008 ETH Zurich, Chair of Sociology SEW E 21, Scheuchzerstrasse 70 8092 Zurich, Switzerland Tel. +41 44 632 55 56 Fax +41 44 632 10 54 [email protected] www.socio.ethz.ch. Oct 12, 2019 · The data were analysed using a decomposition tech {pstd} {cmd:oaxaca_rif} typed without arguments replays the last results. {title:Aggregated and normalized results for sets of variables} {pstd} Thanks to the capabilities of {helpb oaxaca}, decomposition results can be aggregated for subsets of variables and normalized for a set of categorical variables. The counterfactual decomposition technique popularized by Blind...

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