The DOI matches its Crossref record; 61 of the 61 references it cites were found in a registry or an index.
Do Immigrants Cause Crime?
Abstract
We examine the empirical relationship between immigration and crime across Italian provinces during the period 1990-2003. Drawing on police administrative records, we first document that the size of the immigrant population is positively correlated with the incidence of property crimes and with the overall crime rate. Then, we use instrumental variables based on immigration toward destination countries other than Italy to identify the causal impact of exogenous changes in Italy’s immigrant population. 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 effect on the overall crime rate is not significantly different from zero.
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Cites
Crime and Punishment: An Economic Approach
Becker, G. S. (1968) · Journal of Political Economy · doi:10.1086/259394 · Cited by 13,999
Spatial Econometrics: Methods and Models
Anselin, L. (1988) · Studies in Operational Regional Science · doi:10.1007/978-94-015-7799-1 · Cited by 9,274
Testing for Weak Instruments in Linear IV Regression
Stock, J. H., & Yogo, M. (2005) · Identification and Inference for Econometric Models · doi:10.1017/cbo9780511614491.006 · Cited by 7,211
Instrumental Variables Regression with Weak Instruments
Staiger, D., & Stock, J. H. (1997) · Econometrica · doi:10.2307/2171753 · Cited by 7,081
Instrumental Variables Regression with Weak Instruments
Staiger, D., & Stock, J. (1994) · doi:10.3386/t0151 · Cited by 5,302 · cited 2×
“…equal to 13.14 (see the bottom panel of Table 4), which is above the value of 10 indicated by the literature on weak instruments (see, in particular Staiger and Stock, 1997; Stock et al., 2002).10 Turning to asymptotic efficiency, it is well known that the precision of IV estimates increases with…”
BackgroundInfluentialA Survey of Weak Instruments and Weak Identification in Generalized Method of Moments
Stock, J. H., Wright, J. H., & Yogo, M. (2002) · Journal of Business & Economic Statistics · doi:10.1198/073500102288618658 · Cited by 4,274
Bound, J., Jaeger, D. A., & Baker, R. M. (1995) · Journal of the American Statistical Association · doi:10.1080/01621459.1995.10476536 · Cited by 3,618
Harrison, A., Robinson, C., Ashenfelter, O., & Layard, R. (1989) · The Canadian Journal of Economics · doi:10.2307/135687 · Cited by 3,153
Identification and Estimation of Local Average Treatment Effects
Angrist, J., & Imbens, G. (1995) · National Bureau of Economic Research · doi:10.3386/t0118 · Cited by 2,808
Participation in Illegitimate Activities: A Theoretical and Empirical Investigation
Ehrlich, I. (1973) · Journal of Political Economy · doi:10.1086/260058 · Cited by 2,492
Metadata
- Authors
- Bianchi, M., Buonanno, P., & Pinotti, P.
- Venue
- Journal of the European Economic Association
- Publisher
- Oxford University Press (OUP)
- Published
- 2012-12-01
- Volume
- 10
- Issue
- 6
- Pages
- 1318-1347
- ISSN
- 1542-4766
- 1542-4774
- OpenAlex
- W3123149753
- Cited by
- 420
- References
- 61
- FWCI
- 135.34
- Type
- journal article
- Language
- en
- Open access
- closed
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