A global analysis of the impact of COVID-19 stay at home restrictions on crime, with A. Nivette and others, Nature Human Behavior, 2021, Vol 5: 868–877 .

The Great Lockdown and criminal activity - Evidence from Bihar, India , CEPR COVID Economics, 2020, 1(29): 141-163.
Media Coverage: Ideas for India, Ideas for India (Hindi)

Equilibrium with limited-recourse collateralized loans (2013) with J.P. Torres-Martínez, Economic Theory, 53: 181.

Working papers

Information affecting a candidate's reputation might have significant electoral consequences. Do candidates respond to the release of information? Using Brazilian elections and audits as an exogenous source of information, I show that both incumbent and challenger increase their campaign spending when detrimental information affects the incumbent's reputation. Conversely, beneficial information decreases candidates' spending. The main channel is that information affects the expected competitiveness of elections and, therefore, candidates' spending. Only information disclosed before electoral campaigns impacts campaign spending. Furthermore, incumbents also adapt a conditional cash transfers program by increasing (decreasing) the beneficiaries when detrimental (beneficial) reputation shocks occur.

Are elected politicians treated more leniently when facing criminal charges? I present evidence of judicial discretion in the world's largest democracy, India. I analyze whether pending criminal cases of politicians marginally winning the election are more likely to be closed without a conviction compared to cases from politicians marginally losing the election. I find that winning office increases the chances of a favorable outcome only for politicians from the ruling party. Evidence suggests that the misuse of executive powers and witnesses turning hostile are among the main explanations for this result.

This paper introduces a two-stage contest model with reference-dependent preferences to study the determinants of conflict and its intensity. I show the existence of a Subgame Perfect Nash equilibrium in pure strategies, and characterize the properties of the equilibrium. The model shows that reference points play a crucial role in the decision of waging war, and in the level of intensity of the conflict. The model delivers predictions in line with the evidence, and explains empirical regularities that previous models cannot account for. The model encompasses two of the most common empirical patterns found in the conflict literature. Conflicts are more likely to occur after negative income shocks due to the current situation being perceived as a loss compared to agents' reference points. Additionally, income reduces the odds of conflict if agents are more risk-averse for gains than risk-seeker for losses.

Over 150 countries allow expatriate citizens to vote in their country of origin. Yet, little is known about their voting behavior and how this is affected by host countries. Using unique micro-data on Chilean expatriates living in Europe, we study how the host country’s turnout affects expatriates’ electoral participation in the 2017 Chilean Presidential election. We focus on the 2014 European Parliament election turnout in the district of the Chilean’s geocoded residence and exploit local transitory shocks to the cost of voting given by the rainfall on the day of the election. We find that migrants living in areas with higher political participation have lower engagement with their home country politics. A 1 percentage point increase in the host country’s turnout decreases the electoral participation of Chilean expatriates by nearly 1 percentage point. The effects are stronger for young Chileans and those living in small communities, and in localities more welcoming to migrants. This suggests that integration into their local environment seems to play an important role on shaping political preferences.

Many crimes involve physical interaction between victim and perpetrator. I study the dynamic effects of a policy changing how individuals interact on crime and disentangle the underlying mechanisms. Using case-level data from Bihar, India and a regression discontinuity design in time (RDiT), I document a crime drop of 58 percent due to the imposition of the lockdown, driven by the low probability of a criminal-victim encounter. Districts with low lockdown compliance (high mobility) have lower crime reductions than high-compliance ones. I find evidence of temporal displacement for property crimes but not for personal crimes suggesting that lockdowns have an absolute positive impact on non-gainful criminal behavior.