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Does social capital reduce crime? created by Paolo Buonanno, Daniel Montolio and Paolo Vanin

By: Contributor(s): Material type: TextTextSeries: Journal of Law and Economics ; Volume 52, number 1Chicago : University of Chicago Press, 2009Content type:
  • text
Media type:
  • unmediated
Carrier type:
  • volume
ISSN:
  • 00222186
Subject(s): LOC classification:
  • HB73 JOU
Online resources: Summary: 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
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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

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