Economic Analysis of Earnings in Pakistan: A Case of Sargodha District

This paper investigates human capital and socio-economic factors in order to find out the personal earnings of workers in Sargodha District. The Multiple Indicator Cluster Survey data 2007-08 of Punjab has been used. Education and age are used as variables for human capital whereas, gender, age, age square, different classes of age, marital status, area, different education level, employment status, and tehsil dummies are used to investigate the determinants of personal earnings of the workers of Sargodha district. Ordinary least square results explore that education and age plays an important role in the determination of personal wage. Moreover, as the level of education increases the returns to each year of education also increases. Male workers earn more than female which indicates gender discrimination in the labour market. The most productive age is 40-45 years. The individual belongs to rural areas earn more than urban counterparts. When we analyzed the earning pattern in the context of different occupational classes the magnitude of agricultural sector is high. Hence, these facts highlight the importance of a district level growth/economic strategy because the dynamics and geography of each district is different from the other and the earning pattern of a particular district is closely aligned with its demographic conditions.