Median Regression Analysis of Gender-wise Income Gap in Punjab, Pakistan
Muhammad Aslam
Department of Statistics, Bahauddin Zakariya University, Multan, Pakistan
Arslan Saeed
Govt. Science College, Multan, Pakistan
Saima Altaf
Department of Statistics, Bahauddin Zakariya University, Multan, Pakistan
Keywords: Income gap, Labour force survey, Median income, Poverty, Quantile, Quantile regression.
Abstract
This paper primarily examines the impact of gender on the monthly income of the working class in Punjab, Pakistan. The relevant data have been obtained from Pakistan Labour Force Survey (2008-9). A special case of quantile regression i.e. the median regression is used for the desired investigation. In addition to gender, the other covariates are marital status, area of residence, level of education, job type and status etc. As in many other regions and countries, the male workers in Punjab tend to have higher average income and the income tend to increase with increase in level of education. The workers with permanent jobs earn more as compared to temporary job holders.