We show that isolated capital cities are robustly associated with greater levels of corruption across US states, in line with the view that this isolation reduces accountability. We then provide direct evidence that the spatial distribution of population relative to the capital affects different...

This paper shows that the body of appointed officials that a new democracy inherits from the previous regime is a key determinant of the extent of electoral fraud and clientelistic spending in new democracies. I develop a model that predicts that appointed officials have stronger incentives to...

A law issued to combat political corruption and Mafia infiltration of city councils in Italy has resulted in episodes of large, unanticipated, temporary contractions in local public spending. Using these episodes as instruments, we estimate the output multiplier of spending cuts at provincial...

This paper examines the impact of crime and insecurity on support for and satisfaction with democracy and trust in institutions. We use survey data from the Latin American Public Opinion Project (LAPOP) for Colombia during the 2004-2010 period. We find that perceptions of insecurity, crime...

We investigate the relationship between political networks, weak institutions, and election fraud during the 2010 parliamentary election in Afghanistan combining: (i) data on political connections between candidates and election officials; (ii) a nationwide controlled evaluation of a novel...

We propose a distinction between active and passive waste as determinants of the cost of public services. Active waste entails utility for the public decision maker, whereas passive waste does not. We analyze purchases of standardized goods by Italian public bodies and exploit a policy...

This paper uses a new, large-scale, dynamic life-cycle simulation model to compare the welfare and macroeconomic effects of transitions to five fundamental alternatives to the U.S. federal income tax, including a proportional consumption tax and a flat tax. The model incorporates...

We collect a new dataset on capital punishment in the US and we propose a test of racial bias based upon patterns of sentence reversals. We model the courts as minimizing type I and II errors. If trial courts were unbiased, conditional on defendants race the error rate should be independent of...