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...

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 an analysis of potential unequal burden of bribery in schools on poor households in developing countries. The rich are more likely to pay bribes in the standard model where the probability of punishment for bribe taking by a teacher is the same irrespective of income of the...

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....