Abstract

This study assesses the cost of education for Pakistani families. It makes use of PSLM data for the year 2018–19. It looks into the components and factors that add up to the families' overall educational expenditures. The estimation results demonstrate how the age of the family head, employment status of the family head and degree levels of family children living in Pakistan's four provinces affect the amount that family’s expenditure on schooling. All factors however are found to have a positive effect on the policy recommendations for the attainment of education in Pakistan. Additionally, every discovery could have an impact on a variety of issues related to educational system. Each of these factors influences how much the government spends on education in a different way. The OLS (ordinary Least Square) Method and the regression analysis technique were used to perform the regression. When there is a quantitative dependent variable in a model, this approach and methodology is applied for executing the regression. The strategy will be implemented using estimates and results, which will also offer ways to address any problems that can be accounted for by the factors regarding family education spending