Francesco Fasani

Crime and Immigration: Evidence from Large Immigrant Waves

This paper focuses on empirical connections between crime and immigration, studying two large waves of recent U.K. immigration (the late 1990s/early 2000s asylum seekers and the post-2004 inflow from EU accession countries). The first wave led to a modest but significant rise in property crime, while the second wave had a small negative impact. There was no effect on violent crime; arrest rates were not different, and changes in crime cannot be ascribed to crimes against immigrants. The findings are consistent with the notion that differences in labor market opportunities of different migrant groups shape their potential impact on crime.

The Effect of Local Area Crime on Mental Health

This paper analyses the effect of local crime rates on the mental well-being of residents. Our identification strategy addresses the problem of sorting, and endogenous moving behaviour. We find that crime causes considerable mental distress of residents, and that these effects are mainly driven by property crime. However, individuals react also to violent crime, in particular in areas individuals may be exposed to when following their daily routines, such as travel to work. Local crime creates more distress for females, and is mainly related to depression and anxiety. The impact on mental well-being is large: We find that the increase in mental distress following a one standard deviation increase in local crime is about 2-4 times as large as that caused by a one standard deviation decrease in local employment, and about one seventh of the effect experienced by in the direct aftermath of the London Bombings of Jul 7 th , 2005.

Employment of Undocumented Immigrants and the Prospect of Legal Status: Evidence from an Amnesty Program

This article estimates the causal effect of the prospect of legal status on the employment outcomes of undocumented immigrants. The identification strategy exploits a natural experiment provided by an Italian amnesty program that introduced an exogenous discontinuity in eligibility based on date of arrival. The authors find that immigrants who are potentially eligible for legal status under the amnesty program have a significantly higher probability of being employed relative to undocumented immigrants who are not eligible. The size of the estimated effect is equivalent to about half the increase in employment that undocumented immigrants in our sample normally experience during their first year in Italy. These findings are robust to several checks and falsification exercises.

Risk Attitudes and Household Migration Decisions

This paper analyses the relation between individual migrations and the risk attitudes of other household members when migration is a household decision. We develop a simple model that implies that which member migrates depends on the distribution of risk attitudes among all household members, and that the risk diversification gain to other household members may induce migrations that would not take place in an individual framework. Using unique data for China on risk attitudes of internal (rural-urban) migrants and the families left behind, we empirically test three key implications of the model: (i) that conditional on migration gains, less risk averse individuals are more likely to migrate; (ii) that within households, the least risk averse individual is more likely to emigrate; and (iii) that across households, the most risk averse households are more likely to send migrants as long as they have at least one family member with sufficiently low risk aversion. Our results not only provide evidence that migration decisions are taken on a household level but also that the distribution of risk attitudes within the household affects whether a migration takes place and who will emigrate.