This study is the first to provide a systematic measure of bribery using micro-level data on reported earnings, household spending and asset holdings. We use the compensating differential framework and the estimated sectoral gap in reported earnings and expenditures to identify the size of...

Using detailed Peruvian data measuring bribery, I assess which types of public official are most corrupt and why. I distinguish between the bribery rate and the size of bribes received, and seek to explain the variation in each across public institutions. The characteristics of officials'...

Using cross-country and Peruvian data, I show that victims of misfortune, particularly crime victims, are much more likely than non-victims to bribe public officials. Misfortune increases victims' demand for public services, raising bribery indirectly, and also increases victims' propensity to...

We provide a theoretical framework for understanding when an official angles for a bribe, when a client pays, and the payoffs to the client's decision. We test this framework using a new data set on bribery of Peruvian public officials by households. The theory predicts that bribery is more...

In this paper, I examine the role of household income in determining who bribes and how much they bribe in health care in Peru and Uganda. I find that rich patients are more likely than other patients to bribe in public health care: doubling household consumption increases the bribery...

We use variation in oil output among Brazilian municipalities to investigate the effects of resource windfalls. We find muted effects of oil through market channels: offshore oil has no effect on municipal non-oil GDP or its composition, while onshore oil has only modest effects on non-oil GDP...