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Crime and Social Interactions
Open accessAbstract
The high variance of crime rates across time and space is one of the oldest puzzles in the social sciences; this variance appears too high to be explained by changes in the exogenous costs and benefits of crime. We present a model where social interactions create enough covariance across individuals to explain the high cross-city variance of crime rates. This model provides an index of social interactions which suggests that the amount of social interactions is highest in petty crimes, moderate in more serious crimes, and almost negligible in murder and rape.
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Cited by
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Imbens, G. W., & Wooldridge, J. M. (2009) · Journal of Economic Literature · doi:10.1257/jel.47.1.5 · Cited by 4,926
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Watts, D. J. (2002) · Proceedings of the National Academy of Sciences · doi:10.1073/pnas.082090499 · Cited by 2,673
The price of sin: The effects of social norms on markets
Hong, H., & Kacperczyk, M. (2009) · Journal of Financial Economics · doi:10.1016/j.jfineco.2008.09.001 · Cited by 2,601
Cutler, D. M., & Glaeser, E. L. (1997) · The Quarterly Journal of Economics · doi:10.1162/003355397555361 · Cited by 1,241
Self-citationSocial Comparisons and Pro-social Behavior: Testing “Conditional Cooperation” in a Field Experiment
Frey, B. S., & Meier, S. (2004) · American Economic Review · doi:10.1257/0002828043052187 · Cited by 1,184
Metadata
- Authors
- Glaeser, E. L., Sacerdote, B., & Scheinkman, J. A.
- Venue
- The Quarterly Journal of Economics
- Publisher
- Oxford University Press (OUP)
- Published
- 1996-05-01
- Volume
- 111
- Issue
- 2
- Pages
- 507-548
- ISSN
- 0033-5533 (ISSN-L)
- 1531-4650
- OpenAlex
- W2889983377
- Cited by
- 1,758
- References
- 0
- FWCI
- 65.50
- Type
- journal article
- Language
- en
- Open access
- green
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- Glaeser, E. L., Sacerdote, B., & Scheinkman, J. A. (1996). Crime and Social Interactions. The Quarterly Journal of Economics. https://doi.org/10.2307/2946686
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Contains information from the Semantic Scholar Academic Graph Datasets, made available under the ODC Attribution License (ODC-BY 1.0).
Semantic Scholar’s data is described in: Kinney, R., et al. (2023). The Semantic Scholar Open Data Platform. arXiv:2301.10140.
