Economic Reform and Social Sector Expenditures: A Study of Fifteen Indian States 1980/81-1999/2000

This paper examines social sector expenditures in fifteen Indian states between 1980/81 and 1999/2000 to find out whether the far-reaching economic reforms that began in 1991 had any significant impact on the level and trend of these expenditures; and if there was any such impact, what were the reasons behind the ensuing changes. The empirical analysis in this study shows that revenue became a major determinant of social sector expenditures from the mid 1980s with the result that real per capita social sector expenditures in most states started to decline even before the economic reforms began as states' fiscal deficits worsened in the 1980s. Economic reforms, therefore, largely did not have a major negative impact on expenditures. In fact there was a positive impact on some states, which often were those that received more foreign aid than other states. By the late 1990s, states expending more on the social sector changed from states with a traditionally strong commitment to the social sector, such as Kerala, to states having higher revenues including aid from outside the country.

The Bangladesh gender gap in education : biased intra-household educational expenditures

By investigating the educational expenditure of children over the ten years (2000 to 2010), we evaluate whether there exists any gender specific discrepancy at the household level and the trend of such discrepancy over the years. Using three rounds of nationally representative Household Income & Expenditure Surveys this study reveals that households spend less on education for their school-going girls compared to boys. By disaggregating the total expenditure into fixed and variable components, we find persistent gender imbalance in educational expenditure where households provide better quality of education for boys. Moreover, we find that gender based discrepancy has a very persistent trend and does not show any significant sign of narrowing the gap over the years. Cohort wise difference-in-difference estimation also reveals that the gap has initially widened and later converged but has not diminished beyond the initial level of discrepancy, which may warrant targeted policy intervention.