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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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    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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