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An Analysis of the Determinants of Wage and Salary Differentials in Bangladesh

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  • Kazi Abrar Hossain
  • Sharjil Muktafi Haque
  • A.K. Enamul Haque

Abstract

The Gini Index suggests that income inequality is a highly prevalent phenomenon in Southeast Asia (The World Bank, 2012a). As Zaman and Akita (2012) points out, differentials in income is especially prominent in Bangladesh. Our article investigates which factors create differentials in income in Bangladesh. Using data from the Household Income Expenditure Survey published by the Bangladesh Bureau of Statistics, we estimated two separate models—one for daily wage and one for annual salary. We found that education, age (which was used as a proxy for labour market experience), gender and place of work significantly brought about differentials in daily wage rates. We also observed that all four of the above variables, along with different types of occupations, caused differentials in annual salary. We conclude by making several policy recommendations to address these findings.

Suggested Citation

  • Kazi Abrar Hossain & Sharjil Muktafi Haque & A.K. Enamul Haque, 2015. "An Analysis of the Determinants of Wage and Salary Differentials in Bangladesh," South Asia Economic Journal, Institute of Policy Studies of Sri Lanka, vol. 16(2), pages 295-308, September.
  • Handle: RePEc:sae:soueco:v:16:y:2015:i:2:p:295-308
    DOI: 10.1177/1391561415598467
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    References listed on IDEAS

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    1. Murphy, Kevin M & Welch, Finis, 1990. "Empirical Age-Earnings Profiles," Journal of Labor Economics, University of Chicago Press, vol. 8(2), pages 202-229, April.
    2. Jacob A. Mincer, 1974. "Introduction to "Schooling, Experience, and Earnings"," NBER Chapters, in: Schooling, Experience, and Earnings, pages 1-4, National Bureau of Economic Research, Inc.
    3. Dougherty, Christopher R. S. & Jimenez, Emmanuel, 1991. "The specification of earnings functions: Tests and implications," Economics of Education Review, Elsevier, vol. 10(2), pages 85-98, June.
    4. Khan , Azizur Rahman, 2005. "Measuring Inequality and Poverty in Bangladesh: An Assessment of the Survey Data," Bangladesh Development Studies, Bangladesh Institute of Development Studies (BIDS), vol. 31(3-4), pages 1-34, Sept-Dec.
    5. Hausman, Jerry, 2015. "Specification tests in econometrics," Applied Econometrics, Russian Presidential Academy of National Economy and Public Administration (RANEPA), vol. 38(2), pages 112-134.
    6. 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.
    7. O. Ashenfelter & D. Card (ed.), 1999. "Handbook of Labor Economics," Handbook of Labor Economics, Elsevier, edition 1, volume 3, number 3.
    8. Uz Zaman, Kazi Arif & Akita, Takahiro, 2012. "Spatial Dimensions of Income Inequality and Poverty in Bangladesh: An Analysis of the 2005 and 2010 Household Income and Expenditure Survey Data," Bangladesh Development Studies, Bangladesh Institute of Development Studies (BIDS), vol. 35(3), pages 19-50, September.
    9. World Bank, 2015. "World Development Indicators 2015," World Bank Publications - Books, The World Bank Group, number 21634.
    10. repec:aer:wpaper:132 is not listed on IDEAS
    11. Jacob A. Mincer, 1974. "Schooling, Experience, and Earnings," NBER Books, National Bureau of Economic Research, Inc, number minc74-1.
    12. 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.
    13. Osmani, S. R. & Sen, Binayak, 2011. "Inequality in Rural Bangladesh in the 2000s:Trends and Causes," Bangladesh Development Studies, Bangladesh Institute of Development Studies (BIDS), vol. 34(4), pages 1-36, December.
    14. Birdsall, Nancy & Ross, David & Sabot, Richard, 1995. "Inequality and Growth Reconsidered: Lessons from East Asia," The World Bank Economic Review, World Bank, vol. 9(3), pages 477-508, September.
    15. Ross, D. & Sabot, R. & Birdsall, N., 1995. "Inequality and Growth Reconsidered," Center for Development Economics 142, Department of Economics, Williams College.
    16. Sen, Binayak & Ali, Zulfiqar, 2009. "Spatial Inequality in Social Progress in Bangladesh," Bangladesh Development Studies, Bangladesh Institute of Development Studies (BIDS), vol. 32(2), pages 53-78, June.
    17. White, Halbert, 1980. "A Heteroskedasticity-Consistent Covariance Matrix Estimator and a Direct Test for Heteroskedasticity," Econometrica, Econometric Society, vol. 48(4), pages 817-838, May.
    18. Altonji, Joseph G. & Blank, Rebecca M., 1999. "Race and gender in the labor market," Handbook of Labor Economics, in: O. Ashenfelter & D. Card (ed.), Handbook of Labor Economics, edition 1, volume 3, chapter 48, pages 3143-3259, Elsevier.
    19. 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.
    20. World Bank, 2011. "World Development Indicators 2011," World Bank Publications - Books, The World Bank Group, number 2315.
    21. Jacob A. Mincer, 1974. "Schooling and Earnings," NBER Chapters, in: Schooling, Experience, and Earnings, pages 41-63, National Bureau of Economic Research, Inc.
    22. Zaman, Hassan & Narayan , Ambar & Kotikula, Aphichoke, 2012. "Are Bangladesh's Recent Gains in Poverty Reduction Different from the Past?," Bangladesh Development Studies, Bangladesh Institute of Development Studies (BIDS), vol. 35(1), pages 1-26, March.
    23. World Bank, 2013. "World Development Indicators 2013," World Bank Publications - Books, The World Bank Group, number 13191.
    24. Heckman, James J & Sedlacek, Guilherme, 1985. "Heterogeneity, Aggregation, and Market Wage Functions: An Empirical Model of Self-selection in the Labor Market," Journal of Political Economy, University of Chicago Press, vol. 93(6), pages 1077-1125, December.
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    Cited by:

    1. Intan NURPRATIWI & Syamsurijal AK & YUNISVITA, 2020. "Factors that influence wages differences in formal sector on male and female workers in Palembang City," Theoretical and Applied Economics, Asociatia Generala a Economistilor din Romania / Editura Economica, vol. 0(1(622), S), pages 147-158, Spring.
    2. Intan Nurpratiwi & Syamsurijal Abdul Kadir & Yunisvita Yunisvita, 2019. "Factors that Influence Wages Differences in Formal Sector on Male and Female Workers in Palembang City," Business & Management Compass, University of Economics Varna, issue 4, pages 327-343.

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    More about this item

    Keywords

    Labour market; income disparity; determinants of wage differential; gender disparity; age-earnings relationship; Household Income Expenditure Survey; Bangladesh;
    All these keywords.

    JEL classification:

    • D63 - Microeconomics - - Welfare Economics - - - Equity, Justice, Inequality, and Other Normative Criteria and Measurement
    • 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

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