Crime and Social Interactions
Edward L. Glaeser
Harvard University - John F. Kennedy School of Government, Department of Economics; Brookings Institution; National Bureau of Economic Research (NBER)
Dartmouth College - Department of Economics; National Bureau of Economic Research (NBER)
Jose A. Scheinkman
Columbia University; Princeton University - Department of Economics; National Bureau of Economic Research (NBER)
NBER Working Paper No. w5026
The high degree of variance of crime rates across space (and across time) is one of the oldest puzzles in the social sciences (see Quetelet (1835)). Our empirical work strongly suggests that this variance is not the result of observed or unobserved geographic attributes. This paper presents a model where social interactions create enough covariance across individuals to explain the high cross- city variance of crime rates. This model provides a natural index of social interactions which can compare the degree of social interaction across crimes, across geographic 1units and across time. Our index gives similar results for different data samples and suggests that the amount of social interactions are highest in petty crimes (such as larceny and auto theft), moderate in more serious crimes (assault, burglary and robbery) and almost negligible in murder and rape. The index of social interactions is also applied to non-criminal choices and we find that there is substantial interaction in schooling choice.
Number of Pages in PDF File: 72working papers series
Date posted: August 4, 2000
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