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Changes in Wage Structure in Urban India, 1983-2004: A Quantile Regression Decomposition

Author

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  • Mehtabul Azam

    (Southern Methodist University)

Abstract
This paper examines changes in the wage structure in urban India during the past two decades (1983-2004) across the entire wage distribution using the Machado and Mata (2005) decomposition approach. Real wages increased throughout the wage distribution during 1983-1993; however, it increased only in the upper half of the wage distribution during 1993-2004. Quantile regression analysis reveals that the effects of many covariates are not constant across the wage distribution. Moreover, increases in returns to covariates across the entire distribution are the driving forces behind the wage changes in both decades. Change in composition of the work force contributed positively to wage growth during 1983-1993, but negatively during 1993-2004. Finally, while workers with all education levels experienced an increase in returns of roughly the same magnitude during 1983-1993, the increase in returns is much higher for workers with tertiary and secondary education during 1993-2004. The inequality increasing effects of tertiary education suggests that wage inequality in urban India may increase further in the near future as more workers get tertiary education.

Suggested Citation

  • Mehtabul Azam, 2008. "Changes in Wage Structure in Urban India, 1983-2004: A Quantile Regression Decomposition," Departmental Working Papers 0807, Southern Methodist University, Department of Economics.
    • Handle: RePEc:smu:ecowpa:0807
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    More about this item

    Keywords

    earning functions; India; quantile regression decomposition; wage.;
    All these keywords.

    JEL classification:

    • J30 - Labor and Demographic Economics - - Wages, Compensation, and Labor Costs - - - General
    • J31 - Labor and Demographic Economics - - Wages, Compensation, and Labor Costs - - - Wage Level and Structure; Wage Differentials
    • C15 - Mathematical and Quantitative Methods - - Econometric and Statistical Methods and Methodology: General - - - Statistical Simulation Methods: General

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