In the standard model of corruption, the rich are more likely to pay bribes for their children's education, reflecting higher ability to pay. This prediction is, however, driven by the assumption that the probability of punishment for bribe-taking is invariant across households. In many...

This paper provides empirical evidence of nonlinearity in the relationship between crop specialization in a village economy and the extent of the market (size of the urban market) relevant for the village. The results suggest that the portfolio of crops in a village economy becomes more...

This paper analyzes the effects of land market restrictions on structural change from agriculture to non-farm in a rural economy. This paper develops a theoretical model that focuses on higher migration costs due to restrictions on alienability, and identifies the possibility of a reverse...

This paper analyzes the effects of land market restrictions on the rural labor market outcomes for women. The existing literature emphasizes two mechanisms through which land restrictions can affect the economic outcomes: the collateral value of land, and (in) security of property rights....

India experienced sustained economic growth for more than two decades following the economic liberalization in 1991. While economic growth reduced poverty significantly, it was associated with an increase in inequality. Does this increase in inequality reflect deep-seated inequality of...

Commodity traders are often the focus of popular resentment. Food price hikes in 2007-2008 resulted in protests and food riots, and spurred governments to regulate traders. In March 2011, Government of Bangladesh banned delivery order traders in the edible oils market, citing cartelization, and...

Biases from truncation caused by coresidency restriction have been a challenge for research on intergenerational mobility. Estimates of intergenerational schooling persistence from two data sets show that the intergenerational regression coefficient, the most widely used measure, is severely...