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The gender wage gap in Myanmar: Adding insult to injury?

Author

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  • Henrik Hansen

    (DERG, Department of Economics, University of Copenhagen)

  • John Rand

    (DERG, Department of Economics, University of Copenhagen)

  • Ngu Wah Win

    (Centre for Economic and Social Development, Yangon, Myanmar)

Abstract

Gender wage inequality has been studied for decades, applying highly standardized regression decomposition techniques. It is common to find that education and experience explain small parts of the wage gap while differences in occupation and sector are important. Using three different surveys, all from 2017, we analyse the gender wage gap for urban workers in Myanmar. We start from a standard Mincer-type wage equation in which we condition on the workers level of education and years of experience. Subsequently we control for differences in occupational choice and sector of employment. Finally, we compare wages for men and women with similar characteristics, working in the exact same manufacturing enterprises. Our results show that the urban labour markets in Myanmar stand out as remarkable. In Myanmar, selection into wage work leads to an urban workforce in which the female wage-workers have higher levels of education than their male counterparts. Thus, female workers should, on average, have higher wages than male workers. Even so, the observed gender wage gap is 14-35 percent, depending on the survey analysed. Differences in educational attainment and selection into occupations and sectors cannot account for this wage gap. Instead, it is associated with a lower base wage for women and lower remuneration of women’s experience. Digging deeper, we go beyond the traditional standardized methods and utilize a matched employer-employee dataset to generate one-to-one comparisons of female and male production workers with the same level of education and experience who are employed in the same manufacturing enterprises. Even in this setting, in which the male and female workers are closely matched, we find an average wage gap of 13 percent. Our analysis thus indicates substantial discrimination against women in Myanmar’s urban labour markets, with the situation being worst for uneducated women in low wage jobs.

Suggested Citation

  • Henrik Hansen & John Rand & Ngu Wah Win, 2020. "The gender wage gap in Myanmar: Adding insult to injury?," DERG working paper series 20-05, University of Copenhagen. Department of Economics. Development Economics Research Group (DERG).
  • Handle: RePEc:kud:kuderg:2005
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    1. Myeong-Su Yun, 2005. "A Simple Solution to the Identification Problem in Detailed Wage Decompositions," Economic Inquiry, Western Economic Association International, vol. 43(4), pages 766-772, October.
    2. Pham, Thai-Hung & Reilly, Barry, 2007. "The gender pay gap in Vietnam, 1993-2002: A quantile regression approach," Journal of Asian Economics, Elsevier, vol. 18(5), pages 775-808, October.
    3. Deshpande, Ashwini & Goel, Deepti & Khanna, Shantanu, 2018. "Bad Karma or Discrimination? Male–Female Wage Gaps Among Salaried Workers in India," World Development, Elsevier, vol. 102(C), pages 331-344.
    4. Kanika Mahajan & Bharat Ramaswami, 2017. "Caste, Female Labor Supply, and the Gender Wage Gap in India: Boserup Revisited," Economic Development and Cultural Change, University of Chicago Press, vol. 65(2), pages 339-378.
    5. Dubin, Jeffrey A & McFadden, Daniel L, 1984. "An Econometric Analysis of Residential Electric Appliance Holdings and Consumption," Econometrica, Econometric Society, vol. 52(2), pages 345-362, March.
    6. Zheng Fang & Chris Sakellariou, 2011. "A Case of Sticky Floors: Gender Wage Differentials in Thailand," Asian Economic Journal, East Asian Economic Association, vol. 25(1), pages 35-54, March.
    7. Doris Weichselbaumer & Rudolf Winter‐Ebmer, 2005. "A Meta‐Analysis of the International Gender Wage Gap," Journal of Economic Surveys, Wiley Blackwell, vol. 19(3), pages 479-511, July.
    8. Asadullah, M. Niaz & Xiao, Saizi, 2020. "The changing pattern of wage returns to education in post-reform China," Structural Change and Economic Dynamics, Elsevier, vol. 53(C), pages 137-148.
    9. Francine D. Blau & Lawrence M. Kahn, 2017. "The Gender Wage Gap: Extent, Trends, and Explanations," Journal of Economic Literature, American Economic Association, vol. 55(3), pages 789-865, September.
    10. repec:iab:iabjlr:v:54:i::p:art.17 is not listed on IDEAS
    11. Ichiro Iwasaki & Xinxin Ma, 2020. "Gender wage gap in China: a large meta-analysis," Journal for Labour Market Research, Springer;Institute for Employment Research/ Institut für Arbeitsmarkt- und Berufsforschung (IAB), vol. 54(1), pages 1-19, December.
    12. John M. Abowd & Francis Kramarz & David N. Margolis, 1999. "High Wage Workers and High Wage Firms," Econometrica, Econometric Society, vol. 67(2), pages 251-334, March.
    13. Appleton, Simon & Hoddinott, John & Krishnan, Pramila, 1999. "The Gender Wage Gap in Three African Countries," Economic Development and Cultural Change, University of Chicago Press, vol. 47(2), pages 289-312, January.
    14. Fortin, Nicole & Lemieux, Thomas & Firpo, Sergio, 2011. "Decomposition Methods in Economics," Handbook of Labor Economics, in: O. Ashenfelter & D. Card (ed.), Handbook of Labor Economics, edition 1, volume 4, chapter 1, pages 1-102, Elsevier.
    15. World Bank, 2011. "World Development Report 2011 [Rapport sur le développement dans le monde 2011 : Conflits, sécurité et développement - Abrégé]," World Bank Publications - Books, The World Bank Group, number 4389.
    16. Oaxaca, Ronald, 1973. "Male-Female Wage Differentials in Urban Labor Markets," International Economic Review, Department of Economics, University of Pennsylvania and Osaka University Institute of Social and Economic Research Association, vol. 14(3), pages 693-709, October.
    17. Chris Sakellariou, 2004. "The use of quantile regressions in estimating gender wage differentials: a case study of the Philippines," Applied Economics, Taylor & Francis Journals, vol. 36(9), pages 1001-1007.
    18. François Bourguignon & Martin Fournier & Marc Gurgand, 2007. "Selection Bias Corrections Based On The Multinomial Logit Model: Monte Carlo Comparisons," Journal of Economic Surveys, Wiley Blackwell, vol. 21(1), pages 174-205, February.
    19. repec:dau:papers:123456789/4305 is not listed on IDEAS
    20. Angrist,Noam & Djankov,Simeon & Goldberg,Pinelopi Koujianou & Patrinos,Harry Anthony, 2019. "Measuring Human Capital," Policy Research Working Paper Series 8742, The World Bank.
    21. Saizi Xiao & M. Niaz Asadullah, 2020. "Social Norms and Gender Differences in Labor Force Participation in China," Feminist Economics, Taylor & Francis Journals, vol. 26(4), pages 114-148, October.
    22. Marc F. Bellemare & Casey J. Wichman, 2020. "Elasticities and the Inverse Hyperbolic Sine Transformation," Oxford Bulletin of Economics and Statistics, Department of Economics, University of Oxford, vol. 82(1), pages 50-61, February.
    23. Sergio Firpo & Nicole M. Fortin & Thomas Lemieux, 2009. "Unconditional Quantile Regressions," Econometrica, Econometric Society, vol. 77(3), pages 953-973, May.
    24. Yamamoto, Yuki & Matsumoto, Ken’ichi & Kawata, Keisuke & Kaneko, Shinji, 2019. "Gender-based differences in employment opportunities and wage distribution in Nepal," Journal of Asian Economics, Elsevier, vol. 64(C), pages 1-1.
    25. Remco H. Oostendorp, 2009. "Globalization and the Gender Wage Gap," The World Bank Economic Review, World Bank, vol. 23(1), pages 141-161, January.
    26. Alan S. Blinder, 1973. "Wage Discrimination: Reduced Form and Structural Estimates," Journal of Human Resources, University of Wisconsin Press, vol. 8(4), pages 436-455.
    27. Appleton, Simon & Song, Lina & Xia, Qingjie, 2014. "Understanding Urban Wage Inequality in China 1988–2008: Evidence from Quantile Analysis," World Development, Elsevier, vol. 62(C), pages 1-13.
    28. Ronald L. Oaxaca & Michael R. Ransom, 1999. "Identification in Detailed Wage Decompositions," The Review of Economics and Statistics, MIT Press, vol. 81(1), pages 154-157, February.
    29. Nordman, Christophe J. & Robilliard, Anne-Sophie & Roubaud, François, 2011. "Gender and ethnic earnings gaps in seven West African cities," Labour Economics, Elsevier, vol. 18(S1), pages 132-145.
    30. Ichiro Iwasaki & Xinxin Ma, 2020. "Gender wage gap in China: a large meta-analysis," Journal for Labour Market Research, Springer;Institute for Employment Research/ Institut für Arbeitsmarkt- und Berufsforschung (IAB), vol. 54(1), pages 1-19, December.
    31. Patrick Kline, 2011. "Oaxaca-Blinder as a Reweighting Estimator," American Economic Review, American Economic Association, vol. 101(3), pages 532-537, May.
    32. Seema Jayachandran, 2015. "The Roots of Gender Inequality in Developing Countries," Annual Review of Economics, Annual Reviews, vol. 7(1), pages 63-88, August.
    33. Ben Yahmed, Sarra, 2018. "Formal but Less Equal. Gender Wage Gaps in Formal and Informal Jobs in Urban Brazil," World Development, Elsevier, vol. 101(C), pages 73-87.
    34. Iwasaki, Ichiro & Ma, Xinxin, 2020. "Gender Wage Gap in China: A Large Meta-Analysis," CEI Research Paper Series 2020-5, Center for Economic Institutions, Institute of Economic Research, Hitotsubashi University.
    35. Kimberly Bayard & Judith Hellerstein & David Neumark & Kenneth Troske, 2003. "New Evidence on Sex Segregation and Sex Differences in Wages from Matched Employee-Employer Data," Journal of Labor Economics, University of Chicago Press, vol. 21(4), pages 887-922, October.
    36. repec:eee:labchp:v:3:y:1999:i:pb:p:2629-2710 is not listed on IDEAS
    37. Mary Borrowman & Stephan Klasen, 2020. "Drivers of Gendered Sectoral and Occupational Segregation in Developing Countries," Feminist Economics, Taylor & Francis Journals, vol. 26(2), pages 62-94, April.
    38. Abowd, John M. & Kramarz, Francis, 1999. "The analysis of labor markets using matched employer-employee data," Handbook of Labor Economics, in: O. Ashenfelter & D. Card (ed.), Handbook of Labor Economics, edition 1, volume 3, chapter 40, pages 2629-2710, Elsevier.
    39. Lee, Lung-Fei, 1983. "Generalized Econometric Models with Selectivity," Econometrica, Econometric Society, vol. 51(2), pages 507-512, March.
    40. Ma, Xinxin, 2022. "Parenthood and the gender wage gap in urban China," Journal of Asian Economics, Elsevier, vol. 80(C).
    41. Heckman, James, 2013. "Sample selection bias as a specification error," Applied Econometrics, Russian Presidential Academy of National Economy and Public Administration (RANEPA), vol. 31(3), pages 129-137.
    42. Zheng Fang & Chris Sakellariou, 2015. "Glass Ceilings versus Sticky Floors: Evidence from Southeast Asia and an International Update," Asian Economic Journal, East Asian Economic Association, vol. 29(3), pages 215-242, September.
    43. Klaus Deininger & Songqing Jin & Hari Nagarajan, 2013. "Wage Discrimination in I ndia's Informal Labor Markets: Exploring the Impact of Caste and Gender," Review of Development Economics, Wiley Blackwell, vol. 17(1), pages 130-147, February.
    44. Erica L. Groshen, 1991. "The Structure of the Female/Male Wage Differential: Is It Who You Are, What You Do, or Where You Work?," Journal of Human Resources, University of Wisconsin Press, vol. 26(3), pages 457-472.
    45. Fernando Rios-Avila, 2019. "Recentered Influence Functions in Stata: Methods for Analyzing the Determinants of Poverty and Inequality," Economics Working Paper Archive wp_927, Levy Economics Institute.
    46. Sergio P. Firpo & Nicole M. Fortin & Thomas Lemieux, 2018. "Decomposing Wage Distributions Using Recentered Influence Function Regressions," Econometrics, MDPI, vol. 6(2), pages 1-40, May.
    47. Malathy Duraisamy & P. Duraisamy, 2016. "Gender wage gap across the wage distribution in different segments of the Indian labour market, 1983–2012: exploring the glass ceiling or sticky floor phenomenon," Applied Economics, Taylor & Francis Journals, vol. 48(43), pages 4098-4111, September.
    48. Ahmed, Salma & McGillivray, Mark, 2015. "Human Capital, Discrimination, and the Gender Wage Gap in Bangladesh," World Development, Elsevier, vol. 67(C), pages 506-524.
    49. Shoshana Neuman & Ronald Oaxaca, 2004. "Wage Decompositions with Selectivity-Corrected Wage Equations: A Methodological Note," The Journal of Economic Inequality, Springer;Society for the Study of Economic Inequality, vol. 2(1), pages 3-10, April.
    50. Chi, Wei & Li, Bo, 2008. "Glass ceiling or sticky floor? Examining the gender earnings differential across the earnings distribution in urban China, 1987-2004," Journal of Comparative Economics, Elsevier, vol. 36(2), pages 243-263, June.
    51. LEE, Jong-Wha & Wie, Dainn, 2017. "Wage Structure and Gender Earnings Differentials in China and India," World Development, Elsevier, vol. 97(C), pages 313-329.
    52. Ather Maqssod Ahmed & Asma Hyder, 2008. "Sticky Floors and Occupational Segregation: Evidence from Pakistan," The Pakistan Development Review, Pakistan Institute of Development Economics, vol. 47(4), pages 837-849.
    53. Henrik Hansen & John Rand & Neda Trifković, 2021. "Traditional and modern employee benefits in Myanmar's manufacturing sector," WIDER Working Paper Series wp-2021-41, World Institute for Development Economic Research (UNU-WIDER).
    54. World Bank, 2012. "World Development Report 2012 [Rapport sur le développement dans le monde 2012]," World Bank Publications - Books, The World Bank Group, number 4391.
    55. Oaxaca, Ronald L. & Ransom, Michael R., 1994. "On discrimination and the decomposition of wage differentials," Journal of Econometrics, Elsevier, vol. 61(1), pages 5-21, March.
    56. Alberto Abadie & Guido W. Imbens, 2006. "Large Sample Properties of Matching Estimators for Average Treatment Effects," Econometrica, Econometric Society, vol. 74(1), pages 235-267, January.
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    Cited by:

    1. Henrik Hansen & S. Kanay De & John Rand & Neda Trifković, 2023. "Wage returns to workplace training in Myanmar," Development Policy Review, Overseas Development Institute, vol. 41(2), March.
    2. Henrik Hansen & S Kanayade & John Rand & Neda Trifkovic, 2021. "Workplace training in Myanmar: Determinants and wage returns," DERG working paper series 21-10, University of Copenhagen. Department of Economics. Development Economics Research Group (DERG).
    3. Paolo Falco & Henrik Hansen & John Rand & Finn Tarp & Neda Trifković, 2021. "Good business practices improve productivity in Myanmar's manufacturing sector: Evidence from two matched employer-employee surveys," WIDER Working Paper Series wp-2021-45, World Institute for Development Economic Research (UNU-WIDER).

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    More about this item

    Keywords

    discrimination; gender; labour market; Mincer earnings function; Myanmar; wage gap;
    All these keywords.

    JEL classification:

    • J16 - Labor and Demographic Economics - - Demographic Economics - - - Economics of Gender; Non-labor Discrimination
    • J24 - Labor and Demographic Economics - - Demand and Supply of Labor - - - Human Capital; Skills; Occupational Choice; Labor Productivity
    • J31 - Labor and Demographic Economics - - Wages, Compensation, and Labor Costs - - - Wage Level and Structure; Wage Differentials
    • J71 - Labor and Demographic Economics - - Labor Discrimination - - - Hiring and Firing
    • O53 - Economic Development, Innovation, Technological Change, and Growth - - Economywide Country Studies - - - Asia including Middle East

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