Thông tin siêu dữ liệu biểu ghi
Trường DC Giá trịNgôn ngữ
dc.contributor.authorGabriel Obermann
dc.contributor.otherNguyen, Hoang Oanh
dc.contributor.otherNguyen, Hong Ngoc
dc.date.accessioned2023-11-01T10:24:04Z-
dc.date.available2023-11-01T10:24:04Z-
dc.date.issued2021
dc.identifier.isbn1995-0020
dc.identifier.urihttps://dlib.neu.edu.vn/handle/NEU/58674-
dc.descriptionEconomic
dc.description.abstractPurpose – This paper investigates the extent, the determinants and the change in the gender pay gap in Vietnam in the period 2010–2016 in order to provide suggestions for policy adjustment to narrow gender pay inequality more effectively. Design/methodology/approach – This study employs the propensity score matching (PSM) method to examine inequality in pay between female and male earners sharing identical characteristics. The analysis is conducted for both the full sample and various characteristic-based subsamples. This procedure is conducted for 2010 and 2016 separately to discover the change in gap and inequality during this period. Findings – The matching results based on the data sets taken from the Vietnam Household Living Standards Survey (VHLSS) 2010 and 2016 affirm that gender income inequality in Vietnam, though persisted, decreased significantly in 2016 compared to 2010, and was insignificant in many subsamples in 2016. In addition to the observable determinants including educational level, occupation, economic sector and industry, unobservable factors are proved to also play an important role in creating the gender pay gap in Vietnam. Practical implications – The research findings suggest that policies aimed at mitigating gender pay inequality should take into account both observable characteristics and unobservable factors such as unobservable gender differences that affect wages and gender discrimination in pay. Originality/value – This is the first study using a matching technique to investigate gender wage gap in Vietnam. With up-to-date data, longer research period and the superiority of the method used in dealing with sample selection bias, the results obtained are more robust, more detailed and reliable.
dc.description.tableofcontents1. Introduction; 2. Literature review; 3. Methodology and data; 4. Empirical results; 5. Discussion and conclusion remarks
dc.format.extentKhổ 21 x 29.7
dc.language.isoen
dc.publisherKinh Tế Quốc Dân
dc.subjectGender pay gap
dc.subjectPropensity score matching
dc.subjectVietnam
dc.titleGender pay gap in Vietnam: a propensity score matching analysis
dc.typeJournal of Economics and Development
dc.identifier.barcode10-1108_JED-07-2020-0089
dc.relation.referenceAmy, L. (2004), “Sectoral gender wage gap in Vietnam”, Oxford Development Studies, Vol. 32 No. 2, pp. 225-239. Arrow, K. (1973), “The theory of discrimination”, in Ashenfelter, O. and Rees, A. (Eds), Discrimination in Labor Markets, Princeton University Press, Princeton and Oxford, pp. 3-33. Becker, G. (1971), The Economics of Discrimination, 2nd ed., University of Chicago Press, Chicago and London. Blau, F. and Kahn, L. (2017), “The gender wage gap: extent, trends, and explanations”, Journal of Economic Literature, Vol. 55 No. 3, pp. 789-865. Blinder, A. (1973), “Wage discrimination: reduced form and structural estimates”, The Journal of Human Resources, Vol. 7 No. 4, pp. 436-455. Bourguignon, F., Francisco, F. and Phillipe, L. (2002), “Beyond Oaxaca-blinder: accounting for differences in household income distributions”, The Journal of Economic Inequality, Vol. 6 No. 2, pp. 117-148. Chernozhukov, V., Fern andez-Val, I. and Melly, B. (2013), “Inference on counterfactual distributions”, Econometrica, Vol. 81 No. 6, pp. 2205-2268, doi: 10.3982/ECTA10582. DiNardo, J., Fortin, N. and Lemieux, T. (1996), “Labor market institutions and the distribution of wages, 1973-1992: a semiparametric approach”, Econometrica, Vol. 64 No. 5, pp. 1001-1044. Donald, S., Green, D. and Paarsch, H. (2000), “Differences in wage distributions between Canada and the United States: an application of a flexible estimator of distribution functions in the presence of covariates”, Review of Economic Studies, Vol. 67, pp. 609-633. Frolich, M. (2007), “Propensity score matching without conditional independence assumption – with an application to the gender wage gap in the United Kingdom”, The Econometrics Journal, Vol. 10 No. 2, pp. 359-407. JED 23,3 252 Firpo, S., Fortin, N.M. and Lemieux, T. (2009), “ Unconditional quantile regressions” , Econometrica, Vol. 77 No. 3, pp. 953-973. Fortin, N., Lemieux, T. and Firpo, S. (2011), “Chapter 1 – Decomposition methods in economics”, in Ashenfelter, O. and Card, D. (Eds), Handbook of Labor Economics, North Holland, Amsterdam, pp. 1-102, doi: 10.1016/S0169-7218(11)00407-2. Gian, T.C. (2014), “Gender wage gap: the comparison analysis between Korea and Vietnam”, E-Labor News, Vol. 94, available at: https://www.kli.re.kr/kli_eng/selectBbsNttView.do?key=220&bbsNo=31 &nttNo=100750&searchY=&searchCtgry=&searchDplcCtgry=&searchCnd=all&searchKrwd=&pa geIndex=9&integrDeptCode=. ILOSTAT (2020), Database, ILO’s Department of Statistics, United Nations. ILSSA and ILO (2018), Labour and Social Trends in Vietnam 2012–2017, ILO Hanoi. Juhn, C., Murphy, K. and Pierce, B. (1993), “Wage inequality and the rise in returns to skill”, The Journal of Political Economy, Vol. 101 No. 3, pp. 410-442. Machado, J. and Mata, J. (2001), “Earning functions in Portugal 1982-1994: evidence from quantile regressions”, Empirical Economics, Vol. 26 No. 1, pp. 115-134. Meara, K., Pastore, F. and Webster, A. (2017), “Is the gender pay gap in the US just the result of gender segregation at work?”, Working Paper, IZA Discussion Paper No. 10673, Institute of Labor Economics (IZA), Bonn. Nguyen, H.O. and Hoang, T.H. (2018), “Gender gap in income of wage-earners in Vietnam in the period 2012–2014”, Journal of Economics and Development, Vol. 254, pp. 10-20 (in Vietnamese). Nopo, H.R. (2004), “Matching as a tool to decompose wage gaps”, Working Paper, IZA Discussion Paper No. 981, Institute of Labor Economics (IZA), Bonn. Oaxaca, R. (1973), “Male-female wage differentials in urban labor market”, International Economic Review, Vol. 14 No. 3, pp. 693-709. Pham, H. and Reilly, B. (2007), “The gender pay gap in Vietnam, 1993–2002: a quintile regression approach”, Journal of Asian Economics, Vol. 185 No. 5, pp. 775-806. Phelps, E. (1972), “The statistical theory of racism and sexism”, The American Economic Review, Vol. 62 No. 4, pp. 659-661. Rubin, D. and Rosenbaum, P. (1983), “The central role of the propensity score in observational studies for causal effects”, Biometrika, Vol. 70 No. 1, pp. 41-55. UN Women (2020), “Equal pay for work of equal value”, available at: https://www.unwomen.org/en/ news/in-focus/csw61/equal-pay. Vu, T.M. and Yamada, H. (2018), “Decomposing Vietnamese gender equality in terms of wage distribution”, Pacific Economic Review, Vol. 23 No. 5, pp. 705-731
Bộ sưu tập
02. Tạp chí (Tiếng Anh)


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    Thông tin siêu dữ liệu biểu ghi
    Trường DC Giá trịNgôn ngữ
    dc.contributor.authorGabriel Obermann
    dc.contributor.otherNguyen, Hoang Oanh
    dc.contributor.otherNguyen, Hong Ngoc
    dc.date.accessioned2023-11-01T10:24:04Z-
    dc.date.available2023-11-01T10:24:04Z-
    dc.date.issued2021
    dc.identifier.isbn1995-0020
    dc.identifier.urihttps://dlib.neu.edu.vn/handle/NEU/58674-
    dc.descriptionEconomic
    dc.description.abstractPurpose – This paper investigates the extent, the determinants and the change in the gender pay gap in Vietnam in the period 2010–2016 in order to provide suggestions for policy adjustment to narrow gender pay inequality more effectively. Design/methodology/approach – This study employs the propensity score matching (PSM) method to examine inequality in pay between female and male earners sharing identical characteristics. The analysis is conducted for both the full sample and various characteristic-based subsamples. This procedure is conducted for 2010 and 2016 separately to discover the change in gap and inequality during this period. Findings – The matching results based on the data sets taken from the Vietnam Household Living Standards Survey (VHLSS) 2010 and 2016 affirm that gender income inequality in Vietnam, though persisted, decreased significantly in 2016 compared to 2010, and was insignificant in many subsamples in 2016. In addition to the observable determinants including educational level, occupation, economic sector and industry, unobservable factors are proved to also play an important role in creating the gender pay gap in Vietnam. Practical implications – The research findings suggest that policies aimed at mitigating gender pay inequality should take into account both observable characteristics and unobservable factors such as unobservable gender differences that affect wages and gender discrimination in pay. Originality/value – This is the first study using a matching technique to investigate gender wage gap in Vietnam. With up-to-date data, longer research period and the superiority of the method used in dealing with sample selection bias, the results obtained are more robust, more detailed and reliable.
    dc.description.tableofcontents1. Introduction; 2. Literature review; 3. Methodology and data; 4. Empirical results; 5. Discussion and conclusion remarks
    dc.format.extentKhổ 21 x 29.7
    dc.language.isoen
    dc.publisherKinh Tế Quốc Dân
    dc.subjectGender pay gap
    dc.subjectPropensity score matching
    dc.subjectVietnam
    dc.titleGender pay gap in Vietnam: a propensity score matching analysis
    dc.typeJournal of Economics and Development
    dc.identifier.barcode10-1108_JED-07-2020-0089
    dc.relation.referenceAmy, L. (2004), “Sectoral gender wage gap in Vietnam”, Oxford Development Studies, Vol. 32 No. 2, pp. 225-239. Arrow, K. (1973), “The theory of discrimination”, in Ashenfelter, O. and Rees, A. (Eds), Discrimination in Labor Markets, Princeton University Press, Princeton and Oxford, pp. 3-33. Becker, G. (1971), The Economics of Discrimination, 2nd ed., University of Chicago Press, Chicago and London. Blau, F. and Kahn, L. (2017), “The gender wage gap: extent, trends, and explanations”, Journal of Economic Literature, Vol. 55 No. 3, pp. 789-865. Blinder, A. (1973), “Wage discrimination: reduced form and structural estimates”, The Journal of Human Resources, Vol. 7 No. 4, pp. 436-455. Bourguignon, F., Francisco, F. and Phillipe, L. (2002), “Beyond Oaxaca-blinder: accounting for differences in household income distributions”, The Journal of Economic Inequality, Vol. 6 No. 2, pp. 117-148. Chernozhukov, V., Fern andez-Val, I. and Melly, B. (2013), “Inference on counterfactual distributions”, Econometrica, Vol. 81 No. 6, pp. 2205-2268, doi: 10.3982/ECTA10582. DiNardo, J., Fortin, N. and Lemieux, T. (1996), “Labor market institutions and the distribution of wages, 1973-1992: a semiparametric approach”, Econometrica, Vol. 64 No. 5, pp. 1001-1044. Donald, S., Green, D. and Paarsch, H. (2000), “Differences in wage distributions between Canada and the United States: an application of a flexible estimator of distribution functions in the presence of covariates”, Review of Economic Studies, Vol. 67, pp. 609-633. Frolich, M. (2007), “Propensity score matching without conditional independence assumption – with an application to the gender wage gap in the United Kingdom”, The Econometrics Journal, Vol. 10 No. 2, pp. 359-407. JED 23,3 252 Firpo, S., Fortin, N.M. and Lemieux, T. (2009), “ Unconditional quantile regressions” , Econometrica, Vol. 77 No. 3, pp. 953-973. Fortin, N., Lemieux, T. and Firpo, S. (2011), “Chapter 1 – Decomposition methods in economics”, in Ashenfelter, O. and Card, D. (Eds), Handbook of Labor Economics, North Holland, Amsterdam, pp. 1-102, doi: 10.1016/S0169-7218(11)00407-2. Gian, T.C. (2014), “Gender wage gap: the comparison analysis between Korea and Vietnam”, E-Labor News, Vol. 94, available at: https://www.kli.re.kr/kli_eng/selectBbsNttView.do?key=220&bbsNo=31 &nttNo=100750&searchY=&searchCtgry=&searchDplcCtgry=&searchCnd=all&searchKrwd=&pa geIndex=9&integrDeptCode=. ILOSTAT (2020), Database, ILO’s Department of Statistics, United Nations. ILSSA and ILO (2018), Labour and Social Trends in Vietnam 2012–2017, ILO Hanoi. Juhn, C., Murphy, K. and Pierce, B. (1993), “Wage inequality and the rise in returns to skill”, The Journal of Political Economy, Vol. 101 No. 3, pp. 410-442. Machado, J. and Mata, J. (2001), “Earning functions in Portugal 1982-1994: evidence from quantile regressions”, Empirical Economics, Vol. 26 No. 1, pp. 115-134. Meara, K., Pastore, F. and Webster, A. (2017), “Is the gender pay gap in the US just the result of gender segregation at work?”, Working Paper, IZA Discussion Paper No. 10673, Institute of Labor Economics (IZA), Bonn. Nguyen, H.O. and Hoang, T.H. (2018), “Gender gap in income of wage-earners in Vietnam in the period 2012–2014”, Journal of Economics and Development, Vol. 254, pp. 10-20 (in Vietnamese). Nopo, H.R. (2004), “Matching as a tool to decompose wage gaps”, Working Paper, IZA Discussion Paper No. 981, Institute of Labor Economics (IZA), Bonn. Oaxaca, R. (1973), “Male-female wage differentials in urban labor market”, International Economic Review, Vol. 14 No. 3, pp. 693-709. Pham, H. and Reilly, B. (2007), “The gender pay gap in Vietnam, 1993–2002: a quintile regression approach”, Journal of Asian Economics, Vol. 185 No. 5, pp. 775-806. Phelps, E. (1972), “The statistical theory of racism and sexism”, The American Economic Review, Vol. 62 No. 4, pp. 659-661. Rubin, D. and Rosenbaum, P. (1983), “The central role of the propensity score in observational studies for causal effects”, Biometrika, Vol. 70 No. 1, pp. 41-55. UN Women (2020), “Equal pay for work of equal value”, available at: https://www.unwomen.org/en/ news/in-focus/csw61/equal-pay. Vu, T.M. and Yamada, H. (2018), “Decomposing Vietnamese gender equality in terms of wage distribution”, Pacific Economic Review, Vol. 23 No. 5, pp. 705-731
    Bộ sưu tập
    02. Tạp chí (Tiếng Anh)


    Ảnh bìa
  • 10-1108_JED-07-2020-0089.pdf
    • Dung lượng : 141,23 kB

    • Định dạng : Adobe PDF

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    • Downloads :