Journal articles: 'Oaxaca-Blinder decomposition'

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Bauer, Thomas K., and Mathias Sinning. "Blinder–Oaxaca decomposition for Tobit models." Applied Economics 42, no. 12 (May 2010): 1569–75. http://dx.doi.org/10.1080/00036840701721612.

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Kim, Eunmi. "BASED ON THE «BLINDER – OAXACA DECOMPOSITION» METHOD." Вестник Алтайской академии экономики и права 2, no. 3 2022 (2022): 194–202. http://dx.doi.org/10.17513/vaael.2116.

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Kröger, Hannes, and Jörg Hartmann. "Extending the Kitagawa–Oaxaca–Blinder decomposition approach to panel data." Stata Journal: Promoting communications on statistics and Stata 21, no. 2 (June 2021): 360–410. http://dx.doi.org/10.1177/1536867x211025800.

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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 often focused on the decomposition of group-based differences in change over time, for example, diverging income trajectories, as well as decomposition of change in differences between groups, for example, change in the gender pay gap over time. We review five existing methods for the decomposition of changes in group means and contribute an extension that takes an interventionist perspective suitable for applications with a clear before–after comparison. These decompositions of levels and changes over time can be implemented using the xtoaxaca command, which works as a postestimation command for different regression commands in Stata. It is built to maximize flexibility in modeling and implements all decomposition techniques presented in this article.

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Park, T. A., and L. Lohr. "A Oaxaca–Blinder decomposition for count data models." Applied Economics Letters 17, no. 5 (March 15, 2010): 451–55. http://dx.doi.org/10.1080/13504850801964307.

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Jann, Ben. "The Blinder–Oaxaca Decomposition for Linear Regression Models." Stata Journal: Promoting communications on statistics and Stata 8, no. 4 (December 2008): 453–79. http://dx.doi.org/10.1177/1536867x0800800401.

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Sinning, Mathias, Markus Hahn, and Thomas K. Bauer. "The Blinder–Oaxaca Decomposition for Nonlinear Regression Models." Stata Journal: Promoting communications on statistics and Stata 8, no. 4 (December 2008): 480–92. http://dx.doi.org/10.1177/1536867x0800800402.

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이용우. "Blinder-Oaxaca Decomposition ofGender Differences in Depression in Korea." Health and Social Welfare Review 35, no. 2 (June 2015): 511–34. http://dx.doi.org/10.15709/hswr.2015.35.2.511.

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Bonnal, Liliane, Rachid Boumahdi, and Pascal Favard. "The easiest way to estimate the Oaxaca–Blinder decomposition." Applied Economics Letters 20, no. 1 (January 2013): 96–101. http://dx.doi.org/10.1080/13504851.2012.681021.

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Tárrega, A., S. Bayarri, I. Carbonell, and L. Izquierdo. "Blinder–Oaxaca decomposition applied to sensory and preference data." Food Quality and Preference 21, no. 6 (September 2010): 662–65. http://dx.doi.org/10.1016/j.foodqual.2010.03.014.

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Almeida-Santos, Marcos Antonio, Taciana Silveira Passos, Jeferson Cunha-Oliveira, Laís Costa Souza Oliveira, Ticiane Clair Remacre Munareto Lima, Larissa Andreline Maia Arcelino, Jussiely Cunha Oliveira, Antonio Carlos Sobral Sousa, and José Augusto Soares Barreto-Filho. "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 22, no. 1 (March 2020): 3–13. http://dx.doi.org/10.1177/0972063420908357.

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With regard to discrepancies in the cardiologic assistance, gender differences within predictive models are usually taken as ‘disparities’. However, such differences should be further scrutinised. We aimed to apply the Blinder–Oaxaca method in order to investigate potential sex-related disparities in the time from onset of symptoms to upscale assistance in ST-segment elevation myocardial infarction (STEMI) patients transferred to referential hospitals. All public and private hospitals with 24/7 PCI facilities in the state were included, and 1077 STEMI individuals were prospectively enrolled. We applied the Blinder–Oaxaca decomposition for the predictive model. The study included socioeconomic, clinical and geographic predictors. In ‘crude’ comparison under Student’s t-test, the logarithm of the total time was longer for female than male, reaching a difference of 0.22. In the Blinder–Oaxaca adjusted model, women presented higher total time than men. The total difference was 0.248 (95% CI = 0.051–0.445; p = 0.012), mostly related to the ‘explained’ portion, and the ‘unexplained’ portion reached a tiny fraction of the decomposition of elements, not significantly different from zero. There was no relevant unexplained fraction, also known as discrimination. Hence, the differences are attributable to the influence of the predictors as well as the contrafactual endowments for each sex.

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Fournier, Martin. "Exploiting information from path dependency in Oaxaca–Blinder decomposition procedures." Applied Economics Letters 12, no. 11 (September 15, 2005): 669–72. http://dx.doi.org/10.1080/13504850500191152.

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Bauer, Thomas K., and Mathias Sinning. "An extension of the Blinder–Oaxaca decomposition to nonlinear models." AStA Advances in Statistical Analysis 92, no. 2 (February 6, 2008): 197–206. http://dx.doi.org/10.1007/s10182-008-0056-3.

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Buba, Abdullahi, Musa Abdu, Idi Adamu, and Adamu Jibir. "Socio-Demographic Determinants of Poverty in Nigeria and its Gender Differentials." European Scientific Journal, ESJ 14, no. 14 (May 31, 2018): 236. http://dx.doi.org/10.19044/esj.2018.v14n14p236.

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Poverty reduction is one of the greatest challenges facing international community and it is an invaluable requirement for sustainable development. This study was conducted to empirically examine the influence of socioeconomic as well as demographic variables on households’ vulnerability to social exclusion or deprivation with more emphasis on gender inequality. The study employed binary probit regression analysis of poverty as well as Oaxaca-Blinder decomposition to examine factors responsible for inequality with respect to socio-economic fortunes among Nigerian households. Evidence from the study revealed that socio-demographic variables as well as labor characteristics are strong determinants of poverty in the country, and the findings confirmed to the theoretical propositions on causes of poverty. However, empirical results from the Oaxaca-Blinder decomposition show that female headed households are more disadvantaged in terms of socioeconomic deprivation than the male headed households. The study concluded by presenting concluding remarks and policy implications for policymakers toward poverty reduction in Nigeria.

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Ovchinnikov, V. N. "Oaxaca–Blinder decomposition of wage inequality: Sensitivity analysis on Russian data." Finance and Credit 25, no. 11 (November 29, 2019): 2468–84. http://dx.doi.org/10.24891/fc.25.11.2468.

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Nielsen, Helena Skyt. "Wage discrimination in Zambia: an extension of the Oaxaca-Blinder decomposition." Applied Economics Letters 7, no. 6 (June 2000): 405–8. http://dx.doi.org/10.1080/135048500351366.

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Taber, Daniel R., Whitney R. Robinson, Sara N. Bleich, and Y. Claire Wang. "Deconstructing race and gender differences in adolescent obesity: Oaxaca-blinder decomposition." Obesity 24, no. 3 (February 3, 2016): 719–26. http://dx.doi.org/10.1002/oby.21369.

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Roshchin, Sergey, and Natalya Yemelina. "Gender wage gap decomposition methods: Comparative analysis." Applied Econometrics 62 (2021): 5–31. http://dx.doi.org/10.22394/1993-7601-2021-62-5-31.

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This study introduces a comparative analysis of the gender wage gap decomposition methods with the Russian Longitudinal Monitoring Survey (RLMS) data for 2018. To decompose the differences in average wages, approaches based on the Oaxaca–Blinder decomposition are used. Apart from the mean wages, the study focuses on other distribution statistics. Using the quantile regressions, the wage gap between men and women is decomposed for the distribution parameters such as median, lower and upper deciles. The decomposition estimates of conditional and unconditional (based on recentered influence functions) quantile regressions are compared.

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Park, Kwangmin, and SooCheong (Shawn) Jang. "Is franchising an additional financing source for franchisors? A Blinder–Oaxaca decomposition analysis." Tourism Economics 24, no. 5 (February 13, 2018): 541–59. http://dx.doi.org/10.1177/1354816618757561.

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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. Using Blinder–Oaxaca decomposition analysis, this study examined the impact of franchising on short- and long-term debt leverage. The final sample included 191 restaurant firms from 1980 to 2015. Sixty-five firms were non-franchise firms, while 126 firms engaged in the franchising business. The results of the Blinder–Oaxaca decomposition analysis showed that franchising has a significant effect on decreasing long-term debts and confirmed that franchising plays an important role as an additional source of long-term capital. Consequently, the capital scarcity theory is supported as one aspect of long-term debt leverage. However, franchise restaurant firms have larger short-term debt than non-franchise firms, although it is merely marginally significant. This contradicts capital scarcity theory but is in accordance with some past studies (e.g. Norton, 1988; 1995). This implies that franchisors constantly need short-term capital to support franchisees.

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Rios-Avila, Fernando. "Recentered influence functions (RIFs) in Stata: RIF regression and RIF decomposition." Stata Journal: Promoting communications on statistics and Stata 20, no. 1 (March 2020): 51–94. http://dx.doi.org/10.1177/1536867x20909690.

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Recentered influence functions (RIFs) are statistical tools popularized by Firpo, Fortin, and Lemieux (2009 , Econometrica 77: 953–973) for analyzing unconditional partial effects on quantiles in a regression analysis framework (unconditional quantile regressions). The flexibility and simplicity of these tools have opened the possibility to extend the analysis to other distributional statistics using linear regressions or decomposition approaches. In this article, I introduce one function and two commands to facilitate the use of RIFs in the analysis of outcome distributions: rifvar() is an egen extension used to create RIFs for a large set of distributional statistics, rifhdreg facilitates the estimation of RIF regressions enabling the use of high-dimensional fixed effects, and oaxaca_rif implements Oaxaca–Blinder decomposition analysis (RIF decompositions).

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Machová, Zuzana, and Lenka Filipová. "Gender Wage Gap." International Journal of Information Systems and Social Change 4, no. 1 (January 2013): 53–67. http://dx.doi.org/10.4018/jissc.2013010104.

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This paper was written as a part of a research project studying problem of wage determinant measuring and wage discrimination considering different wage requirements of men and women. The wage determinants and gender wage discrimination are analyzed using a probit model. The whole analysis is methodologically based on Mincer’s Wage Regression and Oaxaca-Blinder decomposition of gender wage gap. The wage variables include, aside from standard personal characteristics, dummies for institutional and firm characteristics and dummies for family status and family roles. The data were gained by a questionnaire survey carried out in Ostrava city. The results of the analysis, representative for the city, show statistically significant differences between wage determinants of men and women. The survey concluded in 2 statements: (1) family role is an important wage determinant and its inclusion to Mincer’s Wage Regression leads to better explanation of wages; and (2) including family characteristics in Oaxaca-Blinder decomposition can significantly reduce unexplained part of gender wage gap, i.e., a part of a wage difference usually ascribed to gender wage discrimination can be explained by different preferences of men and women on a labor market.

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Sultana, Humera, and Hamna Nasir. "OPPORTUNITY COST OF HOUSEHOLD WORK: GENDER PERSPECTIVE FOR PAKISTAN." Pakistan Journal of Social Research 04, no. 03 (September 30, 2022): 709–25. http://dx.doi.org/10.52567/pjsr.v4i03.761.

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Time allocation has always been considered an important factor to manage household activities for working hours and leisure. Females spent their substantial time to domestic chores, hence these responsibilities bounds their economic opportunities. The opportunity cost of household work especially for female accounted for higher therefore a vast segment of the society remains deprived and are not allowed to play their role in the labor market. The objective of the study is to find the opportunity cost of household work by region, province, age group, and gender for a different types of activities. Further study also explores the gender gap of household hours by Oaxaca and Blinder decomposition. Data for this study is gathered from the Labour Force Survey of Pakistan (LFS) for the period 2014-2015 and 2017-18. The findings of this study reveal that female household hours exceed male household hours. The opportunity cost of cooking and child-care are higher in rural and urban Punjab for females, while the opportunity cost for males is higher for firewood collection and fetching water. Key Words: Time Allocation, Household Work, Opportunity Cost, Oaxaca Blinder Decomposition JEL Classification: J22, D13, J3, B41

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Chung, Ick Joong, Seok Jin Woo, Hyun Ah Kang, Jong Serl Chun, and Jung Ae Lee. "The Factors Influencing Service Outcomes of Group Homes and Residential Care Centers : Focusing on Blinder-Oaxaca Decomposition." Korean Journal of Child Studies 33, no. 4 (August 31, 2012): 107–27. http://dx.doi.org/10.5723/kjcs.2012.33.4.107.

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Thiao, Abdou, and Souleymane Ouonogo. "La Mobilisation des Ressources Fiscales en Afrique Subsaharienne: Quel Rôle des Flux Financiers Illicites?" Revue Internationale des Économistes de Langue Française 6, no. 1 (2021): 61–78. http://dx.doi.org/10.18559/rielf.2021.1.3.

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The objective of this paper is to analyze the contribution of illicit financial flows to the differences in tax rates in sub-Saharan Africa. Our sample contains 18 cooperative countries and 12 non-cooperative countries with respect to the Anti-Money Laundering / Countering the Financing of Terrorism. Using the Oaxaca-Blinder decomposition, we find that the difference in illicit financial flows explains the differences in tax burden.

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Butler, Daniel M. "Insights from the Blinder–Oaxaca Decomposition on Polarization in the US Senate." Quarterly Journal of Political Science 16, no. 3 (2021): 359–86. http://dx.doi.org/10.1561/100.00019219.

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Kelishadi, Roya, Mostafa Qorbani, Ramin Heshmat, Shirin Djalalinia, Ali Sheidaei, Saeid Safiri, Nastaran Hajizadeh, et al. "Socioeconomic inequality in childhood obesity and its determinants: a Blinder–Oaxaca decomposition." Jornal de Pediatria 94, no. 2 (March 2018): 131–39. http://dx.doi.org/10.1016/j.jped.2017.03.009.

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Kelishadi, Roya, Mostafa Qorbani, Ramin Heshmat, Shirin Djalalinia, Ali Sheidaei, Saeid Safiri, Nastaran Hajizadeh, et al. "Socioeconomic inequality in childhood obesity and its determinants: a Blinder–Oaxaca decomposition." Jornal de Pediatria (Versão em Português) 94, no. 2 (March 2018): 131–39. http://dx.doi.org/10.1016/j.jpedp.2017.08.019.

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Beja, Edsel L. "Migrant-family background and subjective well-being: Evidence using Blinder-Oaxaca decomposition." Migration Letters 15, no. 3 (July 7, 2018): 399–408. http://dx.doi.org/10.33182/ml.v15i3.361.

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The paper examines the subjective well-being of individuals with migrant-family background and individuals with no migrant-family background. The subjective well-being of the former group is on average lowerthan thelatter group. Blinder-Oaxaca decompositionfinds that thegap in their subjective well-being is not explainedby differences in socioeconomic profile and socialcontext.Rather thegap ismainly due tothe unexplained componentof theanalysis, which the paperinterpretsintwoways.First,theunexplainedcomponentrepresentsthelatent social biases against individualswithmigrant heritage.Second,the unexplained component also represents the overall effect ofpersonality, attitude, and migrant culture on the subjective well-being of individuals with migrant heritage.

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Lee, Myoung-Jae. "Reference parameters in Blinder-Oaxaca decomposition: Pooled-sample versus intercept-shift approaches." Journal of Economic Inequality 13, no. 1 (December 23, 2014): 69–82. http://dx.doi.org/10.1007/s10888-014-9293-8.

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Lam, Benjamin, Lisa M. Jamieson, and Murthy Mittinty. "Black Lives Matter: A Decomposition of Racial Inequalities in Oral Cancer Screening." Cancers 13, no. 4 (February 17, 2021): 848. http://dx.doi.org/10.3390/cancers13040848.

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(1) Background: The Black Lives Matter movement has highlighted the discrepancies in public health in regard to race. This study aims to investigate tools that can be used to analyze and investigate this discrepancy, which can be applied to policymaking. (2) Methods: National Health and Nutrition Examination Survey (NHANES) data from 2011–2018 was combined (N = 22,617) to investigate discrepancies of oral cancer screening in Black Americans. We give examples of counterfactual techniques that can be used to guide policy. Inverse probability treatment weighting (IPTW) was used to remove all measured confounding in an interaction analysis to assess the combined effect of socioeconomic status and race. Blinder–Oaxaca decomposition was then used to investigate the intervenable factors associated with differences in race. (3) Results: Sub-additive interaction was found on additive and multiplicative scales when all measured confounding was removed via IPTW (relative excess risk due to interaction (RERI)(OR) = −0.55 (−0.67–−0.42)). Decomposition analysis found that 32% of the discrepancy could be explained by characteristics of higher education and poverty status. (4) Conclusions: Black Americans in poverty are less likely to seek oral cancer screening than the additive likelihood would suggest. Blinder–Oaxaca decomposition is a strong tool to use for guiding policy as it quantifies clear breakdowns of what intervenable factors there are that would improve the discrepancy the most.

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Zimmermann, Barbara. "Gender Gap in the Career Success of University Graduates: Effects of Work-Related Values." Swiss Journal of Sociology 46, no. 1 (March 1, 2020): 37–71. http://dx.doi.org/10.2478/sjs-2020-0003.

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AbstractThe article deals with the unequal career outcomes between women and men. The data from the graduate survey are used to investigate the effect of work-related values on career success. The Oaxaca-Blinder decomposition determines which factors can explain the gender difference. The results show that career aspirations have a more positive effect on men than on women and that a considerable proportion of the gender gap remains unexplained.

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Falk, Martin. "Effects of Foreign Ownership On Innovation Activities: Empirical Evidence for Twelve European Countries." National Institute Economic Review 204 (April 2008): 85–97. http://dx.doi.org/10.1177/00279501082040011001.

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In the present study we investigate the relationship between foreign ownership and innovation activities using the firmlevel data of the third Community Innovation Survey (CIS) covering twelve European countries. Probit estimates based on 28,000 firms' observations show that foreign-owned firms are more innovative than domestic firms, particularly in the New EU Member States. However, results from the Blinder-Oaxaca decomposition of the differences in the percentage of innovating firms between foreign-owned and domestic firms reveals that the differences are mainly due to the different firm characteristics rather than the differences in coefficients. In particular, the dominance of foreign-owned firms in the largest firm size group is the main factor contributing to the gap in the percentage of innovators between foreign-owned firms and domestic firms. Furthermore, using the fractional logit model, we find that in the New EU Member states, foreign ownership has a positive and significant impact on the share of market novelties as well as on the share of new products in turnover. In this case, the results from the Blinder-Oaxaca decomposition analysis indicate that the ownership difference in the share of innovative sales is not due to the differences in the observed firms' characteristics.

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Luh, Yir-Hueih, and Min-Fang Wei. "Distributional effect of the farmer pension program in Taiwan." China Agricultural Economic Review 11, no. 1 (February 4, 2019): 180–205. http://dx.doi.org/10.1108/caer-05-2017-0104.

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PurposeThe Old Farmer Pension Program (OFPP) represents Taiwan’s long-standing efforts aiming at improving farm household income and well-being; however, how effective the pension program is in terms of achieving the policy agenda has remained unclear. The paper aims to discuss this issue.Design/methodology/approachBased on data drawn from the Survey of Family Income and Expenditure during 1999–2013, two identification strategies are used to examine the effect of OFPP. First the authors apply the Blinder-Oaxaca decomposition to address the concern if the program reaches the socially/economically disadvantaged farm households. The second identification strategy involves using the static and dynamic decomposition approaches to identify the major factors contributing to farm household income inequality and the redistribution role of the OFPP.FindingsResults from the Blinder-Oaxaca decomposition indicate that about 60 percent of the income gap can be eliminated if the pension recipients’ socio-economic characteristics are the same as the non-recipient group, suggesting it is the disadvantaged group that receives the old farmer pension. Moreover, the results suggest the significant contributions of household investments in health and human capital as well as diversification toward nonfarm activities, to income inequality among Taiwan’s farm households. Results from the dynamic decomposition suggest that the first-wave adjustment of the OFPP enlarges farm household income inequality, the following two waves of adjustment, however, plays an equalizing role.Originality/valueThis study adds to the literature by providing a methodological refinement promoting the view that it calls for the use of the dynamic (change) decomposition framework to investigate the inequality-enlarging or inequality-equalizing role each income determinant plays.

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Alfano, Vincenzo, Lorenzo Cicatiello, Giuseppe Lucio Gaeta, and Mauro Pinto. "The Gender Wage Gap among Ph.D. Holders: Evidence from Italy." B.E. Journal of Economic Analysis & Policy 21, no. 3 (June 24, 2021): 1107–48. http://dx.doi.org/10.1515/bejeap-2020-0319.

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Abstract This paper contributes to the literature on the gender wage gap by empirically analyzing those workers who hold the highest possible educational qualification, i.e., a Ph.D. The analysis relies on recent Italian cross-sectional data collected through a survey on the employment conditions of Ph.D. holders. The Oaxaca–Blinder decomposition analysis and quantile decomposition analysis are carried out, and the selection of Ph.D. holders into employment and STEM/non-STEM fields of specialization is taken into account. Findings suggest that a gender gap in hourly wages exists among Ph.D. holders, with sizeable differences by sector of employment and field of specialization.

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Munn, I. A., and A. Hussain. "Factors Determining Differences in Local Hunting Lease Rates: Insights from Blinder-Oaxaca Decomposition." Land Economics 86, no. 1 (December 31, 2009): 66–78. http://dx.doi.org/10.3368/le.86.1.66.

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Cartwright, Kate. "Social determinants of the Latinx diabetes health disparity: A Oaxaca-Blinder decomposition analysis." SSM - Population Health 15 (September 2021): 100869. http://dx.doi.org/10.1016/j.ssmph.2021.100869.

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Fairlie, Robert W. "An extension of the Blinder-Oaxaca decomposition technique to logit and probit models." Journal of Economic and Social Measurement 30, no. 4 (December 29, 2005): 305–16. http://dx.doi.org/10.3233/jem-2005-0259.

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Bin, Peng, and Andrea Fracasso. "Regional Consumption Inequality in China: An Oaxaca-Blinder Decomposition at the Prefectural Level." Growth and Change 48, no. 3 (August 22, 2016): 459–86. http://dx.doi.org/10.1111/grow.12167.

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Ñopo, Hugo. "An extension of the Blinder–Oaxaca decomposition to a continuum of comparison groups." Economics Letters 100, no. 2 (August 2008): 292–96. http://dx.doi.org/10.1016/j.econlet.2008.02.011.

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Emamian, Mohammad Hassan, Hojjat Zeraati, Reza Majdzadeh, Mohammad Shariati, Hassan Hashemi, and Akbar Fotouhi. "Economic inequality in eye care utilization and its determinants: a Blinder–Oaxaca decomposition." International Journal of Health Policy and Management 3, no. 6 (October 13, 2014): 307–13. http://dx.doi.org/10.15171/ijhpm.2014.100.

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Duncan, Kevin, and Jonathan Sandy. "Using the Blinder-Oaxaca Decomposition Method to Measure Racial Bias in Achievement Tests." Review of Black Political Economy 40, no. 2 (January 2013): 185–206. http://dx.doi.org/10.1007/s12114-012-9146-2.

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Putri, Aulia Sepnawati, Ahmad Munir, and Suparman Abdullah. "Analysis Of the Gender Wage Gap in Maluku Province Using Blinder-Oaxaca Decomposition." JURNAL SOSIAL EKONOMI DAN HUMANIORA 8, no. 4 (December 20, 2022): 625–33. http://dx.doi.org/10.29303/jseh.v8i4.148.

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One of the eighth Sustainable Development Goal targets is to acomplish full and useful employment and decent work for all women and men, incorporating youth and people with incapacities, and equivalent compensation for work of equivalent worth. This study aims to discuss the gender wage gap between females and males in Maluku Province in 2020. One approach to analyzing household welfare could be measured through wages. Although there is an increase in LFPR, there is still a gender wage gap. Female wage inequality is an important concern today because females significantly contribute to economic development. Thus, it is necessary to conduct research related to factors that affect the wage inequality of female workers. This study uses secondary data from SAKERNAS (National Labor Force Survey) August 2020 with units of analysis as many as 4.293 households. Data analysis used was decomposition Blinder-Oaxaca to measure the gap and break down it into explained and unexplained gaps. The results showed that residence, marital status, education level, training participation, business sector, and Industry contribute to the gender wage gap in Maluku Province.

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Landmesser, Joanna, Marian Rusek, and Olga Zajkowska. "A Comparative Analysis of Men and Women’s Hourly Earnings in Poland with Particular Emphasis on the Education Sector." Folia Oeconomica Stetinensia 21, no. 1 (June 1, 2021): 18–30. http://dx.doi.org/10.2478/foli-2021-0002.

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Abstract Research background: There is the lack of a sector based analysis of wages for different genders. We present such an analysis regarding the education sector in Poland. purpose: The study aims to compare hourly earnings for men and women in Poland, with particular emphasis on the education sector. We go beyond the simple Oaxaca-Blinder decomposition and compare earnings distributions. Research methodology: First, we examine the hourly earnings inequalities using the Oaxaca-Blinder decomposition procedure. Second, we extend this procedure to different quantile points along the whole earnings distribution by the use of the residual imputation approach. The results are obtained for the whole sample (people of all professions), for a group of teaching professionals, and for university and higher education teachers. Results: The magnitude of the gender hourly wage gap varies substantially depending on how the sample of interest is defined. It also heavily depends on the quantile of the analyzed distribution. Although the average gap in the educational sector is negative, the differences turn positive and increase with higher quantiles of distribution in favor of men. The disparity was most pronounced for university top professionals. Novelty: Our results provide novel insights into the sectoral dimension of the income gap. We analyze inequalities over whole distribution in the educational sector and compare them with wage inequalities in enterprises employing more than 9 people.

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Fleury, Nicolas. "Education gap between second-generation migrants and natives and the role of intergenerational transmission of education." International Journal of Manpower 38, no. 2 (May 2, 2017): 288–317. http://dx.doi.org/10.1108/ijm-10-2015-0173.

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Purpose The purpose of this paper is to analyse the role played by parental education endowments vs intergenerational transmission of education in education differences between second-generation immigrants and natives for the French case. Design/methodology/approach First, estimates of human capital accumulation functions are performed by using a representative sample of the French population. Second, the Blinder-Oaxaca decomposition technique is implemented to underline the specific roles of differences in parental education endowments and of differences in intergenerational transmission in education between origins. Findings The econometric estimates of human capital accumulation function parameters underline that the determinants of education level (and their magnitude), differ substantially between natives and migrants. They also underline evidence of heterogeneity in the intergenerational transmission of education among the different origins of migrants in France. The Oaxaca-Blinder decomposition results show that parental education endowments account differences for a significant part of the education gaps among origins. No evidence is found that differences in parental transmissions of education explain these gaps. Originality/value The paper focusses on France, a country with a rich history of immigration in the twentieth century. The econometric analysis is based on a rich source of data for France that allows studying intergenerational mobility in education and also distinguishing natives from second-generation migrants based on their geographical origin.

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Sarkhel, Sukanya. "Patriarchy, parenthood and gender pay gap: evidence from Indian labor market." International Journal of Growth and Development 1, no. 1 (December 7, 2017): 25. http://dx.doi.org/10.25081/ijgd.2017.v1i1.26.

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This paper estimates the extent to which parenthood influences wage income of working mothers and fathers respectively. In this context we try to assess the influence of family culture in explaining this gap using India Human Development Survey (IHDS) data for round one and round two (2004-05 and 2009-10). We argue that mothers from patriarchal family culture will work and earn less as compared to fathers and this will sharpen the wage gap in India. Using OLS and Oaxaca-Blinder method of decomposition for mothers and non-mothers we find that children have significant negative influence on earning of working mothers as compared to married females. The Oaxaca-Blinder decomposition of wage measures significant wage gap of 0.41 between married female without kid and mothers with one child. 28 percent of this gap is unexplained. On the other hand, fathers are earning significantly more than married male coworkers and the gap is 0.33 and major portion of this is explained, which conforms that males become more productive after becoming father as breadwinners for the family and this fatherhood fetches more return for male. It appears that motherhood entails a wage ‘penalty’ in the labor market and more importantly fatherhood is associated with a ‘bonus’ in terms of higher wage premium indicating differential impact of parenthood within a family.

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Shin, Su Hyun, and Sherman D. Hanna. "Decomposition Analyses of Racial/Ethnic Differences in High Return Investment Ownership After the Great Recession." Journal of Financial Counseling and Planning 26, no. 1 (March 2015): 43–62. http://dx.doi.org/10.1891/1052-3073.26.1.43.

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We investigated racial/ethnic differences in high return investment ownership using the 2010 Survey of Consumer Finances (SCF). Logistic regression analysis shows that even after controlling for income, risk tolerance, education, and other factors, Black and Hispanic households are less likely to hold high return investments than White households, but Asian/Other households are not different from White households. Based on results from decomposition methods, if the households with Black and with Hispanic respondents have the same characteristics and risk tolerance as White households, the racial/ethnic gap in high return investment ownership would be narrowed, but still exists. The Fairlie decomposition method might be more reasonable to use for decomposition analyses than the Blinder-Oaxaca method.

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Abbas, Touqeer, and Maqbool H. Sial. "Measuring the Changes in Income Distribution of Pakistan." Journal of Education and Social Studies 3, no. 2 (August 30, 2022): 52–59. http://dx.doi.org/10.52223/jess.20223201.

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A continuous rise in income inequality is a highly debated theme as many changes in the structure of income distribution have happened in Pakistan. This study explores the changes in income distribution during 1998-2018 in Pakistan. The study has used PIHS 1998-99 Pakistan Social and Living Standard Measurement survey data for 2007-08, and 2018-19, collected and administrated by the Pakistan Bureau of Statistics (PBS). Oaxaca-Blinder decomposition methodology is used for estimation. The findings of the study show that education and experience significantly increase the average income. Oaxaca-Blinder decomposition indicates that the wage gaps are; 0.172 between 1998-2007, -0.062 between 2007-2018, and 0.110 between 1998-2018, and significant at a 1% significance level. The wage gap was positive between 1998-2017 and 1998-2018, implying that the wage inequality increased in that period mainly due to the coefficient component, while the wage gap was negative between 2007-2018, showing the decrease in wage inequality due to the endowment component. Moreover, the endowment component of decomposition is negative for all years of interest and highly significant except for the wage gap during 1998-2007. The coefficients component is highly significant and positive for all the years, meaning that applying the coefficients of the labor force in 2007 and 2018 to the characteristics of the labor force in 1998. The interaction component is negative during 1998-2007 and 1998-2018 whereas positive during 2007-2018 and has a high p-value, except for 1998-2018. It is recommended that government policies should ensure an equitable distribution of income.

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Siddiquee, Muhammad Shahadat Hossain, and Md Amzad Hossain. "Exploring Gender Wage Gap in Urban Labor Market of Bangladesh." Research in Applied Economics 10, no. 1 (March 29, 2018): 36. http://dx.doi.org/10.5296/rae.v10i1.12873.

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Using the Labor Force Survey 2010 dataset this paper examines gender wage gap in a large sample of urban workers in Bangladesh and explore whether gender wage gap varies across the wage distribution. Mincerian OLS regression and its Blinder-Oaxaca decomposition results reveal that the estimated wage gap between men and women workers is 21.2%. Adjusting women’s endowments levels to those of men increases women’s wage by 12.1% and a gap of 8.0% remains unexplained. The decomposition results based on the unconditional quantile regressions demonstrate that the estimated total gender wage gap is higher at lower end of the wage distribution compared to the higher end.

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Li, Jinjing. "Rate Decomposition for Aggregate Data Using Das Gupta's Method." Stata Journal: Promoting communications on statistics and Stata 17, no. 2 (June 2017): 490–502. http://dx.doi.org/10.1177/1536867x1701700213.

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Social, behavioral, and health scientists frequently decompose changes or differences in outcome variables into components of change and assess their relative importance. Many Stata commands facilitate this exercise using unit-level data, notably by applying the Blinder–Oaxaca approach. However, none of the comparable user-written commands decompose changes or differences in aggregate data despite their availability and the widespread use of corresponding decomposition techniques. In this article, I present the user-written command rdecompose, which decomposes aggregate or cross-classified data based on Das Gupta's (1993, Standardization and Decomposition of Rates: A User's Manual, Volume 1) approach, and demonstrate its application in multiple settings. This command extends the original method by allowing multiple factors and flexible functional specifications.

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Landmesser, Joanna. "Differences in income distributions for men and women in the European Union countries." Equilibrium 14, no. 1 (March 31, 2019): 81–98. http://dx.doi.org/10.24136/eq.2019.004.

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Research background: Recently there has been an increase in interest in the studies of income inequalities. The findings of numerous empirical studies show that males earn higher wages than females. A variety of techniques of income inequalities decomposition are becoming popular. New procedures go far beyond the Oaxaca-Blinder decomposition. They allow to study differences of income distributions for various groups of people and to decompose them at various quantile points. Purpose of the article: The aim of the paper is to compare personal income distributions in selected countries of the European Union, taking into account gender differences. Methods: First, we examined the income inequalities between men and women in each country using the Oaxaca-Blinder decomposition procedure. The unexplained part of the gender pay gap gave us information about the wage discrimination. Second, we extended the decomposition procedure to different quantile points along the whole income distribution. To describe differences between the incomes of men and women, we constructed the so-called counterfactual distribution, which is a mixture of a conditional distribution of the dependent variable (income) and a distribution of the explanatory variables (individual people’s characteristics). Then, we utilized the residual imputation approach (JMP-approach). Findings & Value added: In the article data from EU-SILC (Statistics on Income and Living Conditions) were used. We found that there exists an important diversity in the size of the gender pay gap across members of the European Union. The results obtained for these countries allowed us to group them into clusters. In general, there are two types of countries in Europe: the countries, where the bulk of the observed income differences cannot be explained by observed characteristics, and the countries, where the explained and the unexplained effects are both positive, with even a bigger explained effect for the lower income ranges.

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Koh, Keumseok, Michelle L. Kaiser, Glennon Sweeney, Karima Samadi, and Ayaz Hyder. "Explaining Racial Inequality in Food Security in Columbus, Ohio: A Blinder–Oaxaca Decomposition Analysis." International Journal of Environmental Research and Public Health 17, no. 15 (July 29, 2020): 5488. http://dx.doi.org/10.3390/ijerph17155488.

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Food insecurity is a leading public health challenge in the United States. In Columbus, Ohio, as in many American cities, there exists a great disparity between Black and White households in relation to food insecurity. This study investigates the degree to which this gap can be attributed to differences in food shopping behavior, neighborhood perception, and socioeconomic characteristics. A Blinder–Oaxaca decomposition method is used to analyze a household survey dataset collected in 2014. We find a 34.2 percent point difference in food security between White and Black households. Variables related to food shopping behavior, neighborhood perception, and socioeconomic characteristics explain 13.8 percent, 11.6 percent, and 63.1 percent of the difference, respectively. These independent variables combined can explain 68.2 percent of the food security gap between White and Black households. Most of this is attributable to socioeconomic variables. Sense of friendship in neighborhood, use of private vehicles, and satisfaction of neighborhood food environment also partially contribute to the food security gap.

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Journal articles on the topic 'Oaxaca-Blinder decomposition'

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