In this paper we examine the empirical relationship between immigration and crime across Italian provinces during the period 1990-2003. Drawing on police administrative data, we first document that the size of immigrant population is positively correlated with the incidence of property crimes and with the overall crime rate. Then, we use instrumental variables based on migration toward other European countries to identify the causal impact of exogenous changes of immigrant population in Italy. According to these estimates, immigration increases only the incidence of robberies, while leaving unaffected all other types of crime. Since robberies represent a very minor fraction of all criminal offenses, the effet on the overall crime rate is not significantly different from zero.

Standard-Nutzungsbedingungen:Die Dokumente auf EconStor dürfen zu eigenen wissenschaftlichen Zwecken und zum Privatgebrauch gespeichert und kopiert werden.Sie dürfen die Dokumente nicht für öffentliche oder kommerzielle Zwecke vervielfältigen, öffentlich ausstellen, öffentlich zugänglich machen, vertreiben oder anderweitig nutzen.Sofern die Verfasser die Dokumente unter Open-Content-Lizenzen (insbesondere CC-Lizenzen) zur Verfügung gestellt haben sollten, gelten abweichend von diesen Nutzungsbedingungen die in der dort genannten Lizenz gewährten Nutzungsrechte. Abstract. Many predictions and conclusions in the climate change literature have been made and drawn on the basis of theoretical analyses and quantitative models that are either static or that allow for simple forms of changes in technology, often along exogenously given time paths. It is therefore not clear a priori whether those conclusions and policy recipes still hold in the more realistic case of endogenously evolving technologies. In this paper, a quantitative tool with the features of an endogenous growth model is presented, which also accounts for the possibility that technical change can be induced by environmental policy measures. Both the output production technology and the emission-output ratio depend upon the stock of knowledge, which accumulates through R&D activities. R&D is thus an additional policy variable that comes into play along with pollution abatement and capital investment. Two versions of this climate model are studied, one with endogenous technical change but exogenous environmental technical change (i.e. no induced technical change) and the other with both endogenous and induced technical change. Hence, in both models technical change evolves endogenously as far as the production technology is concerned, but endogenous environmental (or induced) technical change is only accounted for in the second version. Finally, a third version of the model also captures technological spillover effects. As an application, the three versions of the model are simulated allowing for trade of pollution permits as specified in the Kyoto Protocol and assessing the implications in terms of cost efficiency, economic growth and R&D efforts of the three different specifications of technical change. Terms of use: Documents in EconStor may Non-Technical AbstractMany predictions and conclusions in the climate change literature have been made and drawn on the basis of theoretical analyses and quantitative models that are either static or that allow for simple forms of changes in technology, often along exogenously given time paths. It is therefore not clear a priori whether those conclusions and policy recipes still hold in the more realistic case of endogenously evolving technologies. In this paper, a quantitative tool with the features of an endogenous growth model is presented, which also accounts for the possibility that technical change can be induced by environmental policy measures.The main goal of this paper is to compare the effects of three di...

We investigate the effects of civic norms and associational networks on crime rates. Civic norms may attach guilt and shame to criminal behavior, thus increasing its opportunity cost. Associational networks may increase returns to noncriminal activities and raise detection probabilities, but they may also work as communication channels for criminals and may offer official cover to criminal activities. The empirical assessment of these effects poses serious problems of endogeneity, omitted variables, measurement error, and spatial correlation. Italy's great variance in social and economic characteristics, its homogeneity in policies and institutions, and the availability of historical data on social capital in its regions allow us to minimize the first two problems. To tackle the last two problems, we use report-rate-adjusted crime rates and estimate a spatial lag model. We find that both civic norms and associational networks have a negative and significant effect on property crimes across Italian provinces. (c) 2009 by The University of Chicago. All rights reserved..

This study explains the emergence of the Sicilian mafia in the XIX century as the product of the interaction between natural resource abundance and weak institutions. We advance the hypothesis that the mafia emerged after the collapse of the Bourbon Kingdom in a context characterized by a severe lack of state property-right enforcement in response to the rising demand for the protection of sulfur -Sicily's most valuable export commodity -whose demand in the international markets was soaring at the time. We test this hypothesis combining data on the early presence of the mafia and on the distribution of sulfur reserves across Sicilian municipalities and find evidence of a positive and significant effect of sulphur availability on mafia's diffusion. These results remain unchanged when including department fixed-effects and various geographical and historical controls, when controlling for spatial correlation, and when comparing pairs of neighboring municipalities with and without sulfur.