Oaxaca decomposition

Apr 10, 2020 · Blinder-Oaxaca Decomposition interpretation. 10 Apr 2020, 08:25. I am using Blinder Oaxaca decomposition to estimate urban-migrant and urban wage gap. In a two fold decomposition, I am getting negative value of Unexplained part. Explained part is positive and both (explained and unexplained) are significant.

Nov 2, 2022 · We used the Blinder-Oaxaca decomposition approach to investigate the importance of factors explaining life satisfaction inequality between the SC/ST and non-SC/ST groups. The Blinder-Oaxaca decomposition approach is important in this study because it can distinguish outcomes attributed to unequal treatment across groups from outcomes ... Jan 3, 2018 · 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 ... The Oaxaca-Blinder Decomposition assumes that there is a (linear) wage structure that connects an individual's observable variables—e.g. educational levels and work experience—and unobservable variables, such as ability, to wages. This wage structure is summarized by the prices of each observable input, such as college and job tenure premia ...The Blinder-Oaxaca decomposition method was applied to further investigate the relative contributions the observed characteristics made to the rural-urban digital inequality of schoolchildren. The results show that the observed differences in factors associated with students' digital self-efficacy account for 35% of rural-urban digital inequality.Blinder Oaxaca (Xtoaxaca) Decomposition Panel Data Use xtoaxaca With STATA 17Link Download File Input, Output And Syntax (Command) Blinder Oaxaca (Xtoaxaca) ...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 syntax2. 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 …

Downloadable! 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 binary and the coefficients are from a ...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. ...See oaxaca for details. a character vector that specifies the variables for which coefficient bar plots are requested. If NULL, plots for all variables will be produced. Only relevant when argument type is set to "variables". This argument can also be used to determine the order in which variables are presented.Decomposition analysis breaks group differences in the mean of an outcome into two parts: group differences in the magnitude of the determinants of the outcome in question and group differences in the effects of these determinants (Oaxaca, 1973, O'Donnell, et al., 2008).The Blinder-Oaxaca decomposition of wage differentials has played a significant role in studying wage discrimination Blinder, 1973, Oaxaca, 1973. The basic idea of the Blinder-Oaxaca decomposition is that differences in wages can be explained by the differences in characteristics and by the differences in OLS coefficients. The application ...Logistic regression was implemented to model URAC for the 2 years and inequality was measured using the concentration index. Decomposition of the concentration index and Blinder -Oaxaca decomposition were implemented to assess the contribution of the URAC determinants to its inequality and the changes between 1995 and 2014.

This type of decomposition is based on an approximation of the variation in inequality and is accurate for small changes. Combes et al, 33 in 2011 did a sensitivity analysis using Oaxaca decomposition and TDA separately and suggested that interpretations of Oaxaca method are similar to the TDA results. The third limitation was time ...Oaxaca decomposition (Blinder 1973; Oaxaca 1973) and divides the wage differential between two groups into a part that is "explained" by group differences in productivityWhat is the Oaxaca-Blinder decomposition method? The Blinder-Oaxaca pooled method includes the differentiation between the explained part of the gap and the unexplained part of the gap. The definitions for explained and unexplained decomposition can be represented in the following way: \nThe Oaxaca-Blinder decomposition method [15, 16] is a statistical tool adapted for this purpose, and has commonly been used to study sources of disparities in health, including smoking behaviours [17,18,19] and adolescent health [20, 21], but has not yet been applied to educational disparities in smoking among adolescents.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.

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Jan 1, 2011 · The growth accounting approach pioneered by Solow (1957) and others is an early example of a decomposition approach aimed at quantifying the contribution of labor, capital, and unexplained factors (productivity) to US growth. 1 But it is in labor economics, starting with the seminal papers of Oaxaca (1973) and Blinder (1973), that decomposition ... Reference parameters in Blinder-Oaxaca decomposition 71 2 Pooled-sample approach The BO decomposition in Eq. 1 becomes (x¯1 −¯x0) γˆ0 +¯x 1 (γˆ1 −ˆγ0) if γ∗ =ˆγ0; (x¯1 −¯x0) γˆ1 +¯x 0 (γˆ1 −ˆγ0) if γ ∗ =ˆγ1. Theroleofγ∗ is supposedly representing the parameter that would prevail when the two groups were treated fairly without any discrimination.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 …We explore this question using the threefold Blinder-Oaxaca decomposition at these survey points (collected over a gap of four years). We find that when the children were younger the private schooling effect was the core contributor towards this learning gap. When these children got older, the effect vanished and the gap in average years of ...Annex A. Understanding explained and unexplained differences between two groups through a counter-factual exercise: The Oaxaca- Blinder decomposition In the early 1970s, Oaxaca and Blinder popularised a framework for decomposing differences between two groups attributed to observable and non-observable characteristics.

Concepts. The study uses the Blinder-Oaxaca decomposition technique to explain the gender wage gap. Blinder-Oaxaca Decomposition Model. An often used methodology to explain the gap in the means of an outcome variable between two groups is known as the Blinder-Oaxaca decomposition model (Blinder 1973; Oaxaca 1973).The theoretical concept of the methodology is explained below.Dec 15, 2022 · To the authors' knowledge, this is the first decomposition analysis using the Blinder-Oaxaca method of self-reported health in Wales and the UK. This analysis is answering this need, aiming to explore and ‘decompose' the gaps in measures of self-reported health and well-being, and quantify their relationship with the wider determinants for ... 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 unexplained gender pay gap. We ...Blinder-Oaxaca decomposition itself follows a partial equilibrium type of approach. In particular, it is not necessarily correct to infer how much more or less effective a policy would be if, say, GDP growth were negative versus positive. The decomposition measures differences in fiscal policy effectiveness Blinder-Oaxaca decomposition (Blinder 1973; Oaxaca 1973). In recent years, it has been increas-ingly referred to as the Kitagawa-Oaxaca-Blinder or Kitagawa-Blinder-Oaxaca decomposition, in recognition of Kitagawa (1955), who proposed the same method in a nonparametric framework.Download scientific diagram | Blinder-Oaxaca decomposition of the gender wage gap (in percentage points) from publication: The Gender Wage Gap Opens Long before Motherhood. Panel Evidence on Early ...Ch. 12: Explaining Differences Between Groups: Oaxaca Decomposition [pdf] Ch. 13: Explaining Socioeconomic-Related Health Inequality: Decomposition of the Concentration Index [pdf] Ch. 14: Who Benefits from Health Sector Subsidies? Benefit Incidence Analysis [pdf] Ch. 15: Measuring and Explaining Inequity in Health Service Delivery [pdf]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.Now, I use Oaxaca- Blinder decomposition to estimate how much of the gap is explainable by differences in endowment, such as differences in age, education, or work. The results are reported in table 3. For immigrants, people who are not born in Germany, decomposition shows a difference of 8,7 log points or 9,2 percent between natives and ...

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 ...

Oaxaca Decomposition. 147: Figure 121 Oaxaca Decomposition. 148: Figure 122 Malnutrition Gaps between Poor and Nonpoor Children Vietnam 1998. 152: Table 121 First Block of Output from decompose. 153: Table 123 Third Block of Output from decompose. 154: Figure 123 Contributions of Differences in Means and in Coeffi cients to …The gap between the high- and low-economic in terms of utilization of eye care services was deconstructed into its determinants by using the Blinder-Oaxaca decomposition method (29,30). This method is based on two regression models, fitted separately for the two population groups (in this study, high- and low-economic groups) .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 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 used these two numbers to calculate the size of the rural–urban gap. There was a 56-point gap between the average predicted values of rural and urban schools. The method attributed the gap to two potential sources: a difference in resources and a difference in the returns on resources. To distinguish these two …Using the Blinder-Oaxaca decomposition method, we find that education, English language skills and the use of different information sources, such as newspapers and TV, are key transmission channels in explaining differences in financial knowledge between men and women in patriarchal states, and between patriarchal and matrilineal …Scheduled Caste (SC) women, one of India's most oppressed and neglected population groups, are the most vulnerable to intimate partner violence (IPV). IPV, on the other hand, is less common among women in the General category. No study has been conducted to measure the gap in IPV between these two g …The Oaxaca decomposition (Oaxaca, 1973) is a method of expressing the difference between the mean values of a variable – usually the logarithm of earnings – for two groups based on the coefficients obtained from two group‐specific linear regressions 1 . 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 ...

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The thing is, I am not really sure how to interpret the other two coefficients in the threefold decomposition. You might want to read through Ben Jann's paper in the Stata Journal where he introduces the oaxaca command with a worked example. I believe that in the threefold decomposition, the endowments coefficient would be conceptually similar ...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 ...7 RIF Decomposition: oaxaca rif 8 Latest Extensions: rifhdreg II 9 Conclusions Rios-Avila (Levy) RIF Stata Chicago 2019 10 / 47. RIFs, IFs and Gateaux Derivative In uence Functions (IF) can be thought as a generalization of the above experiment. It represents the re-scaled e ect that a change in the distribution from F y!GThe generalized Blinder–Oaxaca decomposition also allows us to produce a detailed decomposition to evaluate the contribution of each variable: (8) While the generalized Blinder–Oaxaca method does have the advantage of providing a decomposition of differences in statistics other than the mean, it is still based on a …decomposition for the 2006 Wage Structure Survey, found an unremarkable wage gap at the ... Oaxaca decomposition method was implemented by the other three studies. Turkish Household Expenditure and Income Survey was employed by Kara (2006) while İlkkaracan and Selim (2007) used the Employment and Wage Structure Survey and both were held …We propose a method that extends the traditional Oaxaca decomposition of effects on mean wages (Oaxaca, 1973) to the entire wage distribution. The method is based on the estimation of the marginal density function of wages in a given year implied by counterfactual distributions of some or all the observed attributes. This methodology is …Blinder-Oaxaca decomposition analysis. Tables 3 shows the results of the BO decomposition for determinants of HIV infection between female and male. The prevalence of HIV infection in female was 7.53% (95% CI: 6.90,8.20%), while the prevalence was 12.03% (95% CI: 11.51,12.54%) in male.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).An Oaxaca-Blinder decomposition was undertaken to analyze the relative contributions of a large set of covariates to the difference in mortality rates between Black and White children. Covariates were aggregated into the following categories: "Severity," "Structure and Process," "Mechanism," "Demographics," and "Insurance." ...A comparison of the samples obtained via 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 findings can be interpreted as an increase in the demand for news as the infection spread. The analysis also showed that ...I would like to use the Blinder-Oaxaca decomposition in my thesis. Since the topic of my thesis concerns gender inequalities among top-level managers, decomposing the gender wage gap would ...Oaxaca and Ransom (1999) show that the detailed Oaxaca decomposition of wage differentials is not invariant to the choic e of re ference group whe n a set of dummy varia bles is used. 1 That is, if we use dummy varia ble(s), then the detailed c oeff icients eff ects a ttributed to indivi dual var iables ar e not ….

Descriptive statistics and Blinder-Oaxaca decomposition were applied for analysing the data. Results. Our study showed that the prevalence of overweight was 64% and 52% among men and women, respectively. It, therefore, revealed a gender gap in overweight people of 11.7% points with explanatory factors accounting for 39% of that gap. This gender ...Am trying to use the commands use by Ben Jann in his article 'The Blinder-Oaxaca decomposition for linear regression models" on his own data but I have the following errors for each of the commands after using them as stated below: svyset [pw=wt] pweight: wt. VCE: linearized. Single unit: missing. Strata 1: <one>. SU 1: <observations>.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.decomposition presented by Koev but instead of geometric means the Oaxaca decomposition of the study in based on change in arithmetic means. The index application of the study is developed as a logarithm of Laspeyres’ index formula (Y. Vartia, p. 128, 1976). In the empirical part of the studyThe 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 ...This paper investigates gender pay inequality in the labor market of a developing country. Our empirical investigation uses data derived from a sample of employees in the Lebanese banking sector for the years 2008 and 2014. Using Blinder-Oaxaca decomposition, the results reveal that the unexplained component of the gender wage gap, attributed to discrimination, represents a substantial share ...What is the Oaxaca-Blinder decomposition method? The Blinder-Oaxaca pooled method includes the differentiation between the explained part of the gap and the unexplained part of the gap. The definitions for explained and unexplained decomposition can be represented in the following way: \nUsing the pooled Blinder-Oaxaca decomposition method, we test the relative resources, time availability, absolute resources, and gender-centered frameworks in their ability to explain gender ...The Blinder-Oaxaca decomposition has been a valuable tool for the analysis of wage gaps since its conception in the early 1970s (Blinder, 1973, Oaxaca, 1973). It decomposes the differences in earnings between two groups into two additive elements: one attributed to the existence of differences in observable characteristics between the two ...11 Nov 2021, 23:31. Hi, I want to use Oaxaca Blinder Decomposition and Heckit for my final project. Both are used to analyze the difference in wages between different types of disability and non-disability. There are three types of disabilities, namely blind, deaf, and speech impaired. The three variables are dummy variables. Oaxaca decomposition, Abstract. We develop a regression decomposition technique for hazard rate models, where the difference in observed rates is decomposed into components attributable to group differences in characteristics and group differences in effects. The baseline hazard is specified using a piecewise constant exponential model, which leads to convenient ..., The data were analysed using a decomposition technique originally developed by Evelyn Kitagawa . This technique is better known as the Blinder-Oaxaca decomposition (Oaxaca 1973; Jann 2008; Sinning et al. 2008), and allows us to link trends in women's (micro-level) employment to (macro-level) trends in poverty. This decomposition compares ..., 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 ..., An implementation of the Blinder-Oaxaca decomposition for linear regression models. oaxaca: Blinder-Oaxaca Decomposition. An implementation of the Blinder-Oaxaca decomposition for linear regression models. Version: 0.1.5: Imports: Formula, ggplot2, reshape2, methods, stats: Published: 2022-04-17:, I'm using the Oaxaca decomposition command, in Stata 18, with svy subpopulation option. I noticed that some observations are being excluded from the models within both Group 1 and Group 2. Additionally, I observed that in the decomposition model, the number of observations is the total sample size rather than the intended subpopulation size., 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., Slide 1. Analyzing Health Equity Using Household Survey Data Lecture 12 Explaining Differences between Groups: Oaxaca Decomposition What's it all about? Having measured inequalities, natural next step is to seek to account for them In this and the next lecture we examine methods of decomposing inequality into its contributing factors Core ..., 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 …, The Blinder-Oaxaca decomposition results show that 36.1% of the difference in men's and women's log hourly pay could be explained by differences in characteristics between men and women included in the model; of those, occupation has the largest effect since it explains 23.0% of the differences between men's and women's log hourly pay., 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 ..., Aug 6, 2021 · The Oaxaca command package is available for Stata , R and SAS Macro% BO_decomp to perform the blinder-oaxaca decomposition. In addition, Stata provides several packages developed for implementation of various forms of Blinder-Oaxaca decomposition into non-linear models, including fairlie [ 38 ], gdecomp [ 39 ], mvdcmp [ 32 ], and nldecompose ... , The decomposition, which is based on logit regressions for employment status, follows the precedent set by Fairlie (1999 Fairlie ( , 2003 and is a variation of the common Oaxaca-Blinder ..., Decomposition of change in the concentration index Wagstaff, van Doorslaer, and Watanabe (2003) also proposed two approaches to explaining changes in income-related inequality over time. A fi rst approach is to apply an Oaxaca-type decomposition (Oaxaca 1973) (see chapter 12 ). This can, 2. (8 marks) Use Oaxaca decomposition to measure the impact of gender discrimination on the wage: Male earnings function: WM = Am + BM * SM Female earnings function: Wp = af + Be * Set The average woman has 5f years of schooling and earns Wf: "The average man has 5m years of schooling and earns Wm. Explain two reasons about the wage difference between the male and the female with a proper figure., Decomposition Oaxaca (1973) Question: how much of the wage gap can be “explained” by observable differences in human capital (education and labour market experience, occupational choices, etc)? Estimate OLS regressions of (log) wages on covariates/charactistics Use the estimates to construct a counterfactual wage such as …, 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. Based on this general model, we show how it can be applied ..., 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 have been more …, 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., Explaining Differences between Groups: Oaxaca Decomposition 149 The gap between the mean outcomes, ynonpoor and ypoor, is equal to (12.2) yy x xnonpoor poor nonpoor nonpoor poor poor−= −ββ where xnonpoor and xpoor are vectors of explanatory variables evaluated at the means for the nonpoor and the poor, respectively.2 For example, if we have just two x's, x, Additionally, the Oaxaca decomposition method is used to analyse the educational gap in factors associated with child stunting. The results indicate a higher prevalence of stunting among children ..., 1979) for wage function. Third, using the Blinder-Oaxaca decomposition model (Blinder, 1973; Oaxaca, 1973; Oaxaca and Choe, 2016), this study investigates how the 1 Article 19 of The Company Law of the People’s Republic of China (Re vised in 2013) states: ‘In a, Any scripts or data that you put into this service are public. oaxaca documentation built on April 18, 2022, 1:06 a.m. An implementation of the Blinder-Oaxaca decomposition for linear regression models., Collectives™ on Stack Overflow - Centralized & trusted content around the technologies you use the most., This paper proposes an empirical likelihood inference method for the Oaxaca–Blinder decompositions. In contrast to the conventional Wald statistic using …, The Blinder-Oaxaca decomposition technique, or simply the Oaxaca decomposition, decomposes wage differentials into two components: a portion that arises because two comparison groups, on average, have different qualifications or credentials (e.g., years of schooling and experience in the labor market) when both groups receive the same treatment ... , 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 ..., 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 ..., Triventi (2013) used the monthly initial wage of college graduates in 11 European countries as the dependent variable, adopted the Blinder-Oaxaca wage difference decomposition method to test the ..., Abstract. This chapter uses the classic Oaxaca-Blinder (OB) decomposition for the mean as its point of departure and, then, focuses on the last 15 years of decomposition methods that go beyond the mean. The analysis starts from the formal decomposition theory and its link with the treatment effect literature., Second, a Threefold Oaxaca Decomposition is employed to break earnings differentials into components of endowment, coefficient and interaction. Earning gaps are examined separately in urban and rural divisions. Within-group inequalities are found larger than between groups across variables, with a higher overall inequality for forward castes. ..., 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 ..., An implementation of the Blinder-Oaxaca decomposition for linear regression models. oaxaca: Blinder-Oaxaca Decomposition. An implementation of the Blinder-Oaxaca decomposition for linear regression models. Version: 0.1.5: Imports: Formula, ggplot2, reshape2, methods, stats: Published: 2022-04-17:, Given the global spatial heterogeneity in case-fatality rates, we applied the Blinder-Oaxaca regression decomposition technique to identify how putative sociodemographic, structural, and environmental sources influence variation in case-fatality rates. We show that compositional and associational differences in country-level risk factors ...