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DC Field | Value | Language |
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dc.contributor.author | Bun, M | - |
dc.contributor.author | Kelaher, R | - |
dc.contributor.author | Sarafidis, V | - |
dc.contributor.author | Weatherburn, D | - |
dc.date.accessioned | 2025-02-13T14:53:12Z | - |
dc.date.available | 2025-02-13T14:53:12Z | - |
dc.date.issued | 2019-09-10 | - |
dc.identifier | ORCiD: Vasilis Sarafidis https://orcid.org/0000-0001-6808-3947 | - |
dc.identifier.citation | Bun, M. et al. (2020) 'Crime, deterrence and punishment revisited', Empirical Economics: a quarterly journal of the Institute for Advanced Studies, Vienna, 59, pp. 2303 - 2333. doi: 10.1007/s00181-019-01758-6. | en_US |
dc.identifier.issn | 0377-7332 | - |
dc.identifier.uri | https://bura.brunel.ac.uk/handle/2438/30722 | - |
dc.description.abstract | Despite an abundance of empirical evidence on crime spanning over 40 years, there exists no consensus on the impact of the criminal justice system on crime activity. We construct a new panel data set that contains all relevant variables prescribed by economic theory. Our identification strategy allows for a feedback relationship between crime and deterrence variables, and it controls for omitted variables and measurement error. We deviate from the majority of the literature in that we specify a dynamic model, which captures the essential feature of habit formation and persistence in aggregate behaviour. Our results show that the criminal justice system exerts a large influence on crime activity. Increasing the risk of apprehension and conviction is more influential in reducing crime than raising the expected severity of punishment. | en_US |
dc.description.sponsorship | Maurice J. G. Bun: The research of the author has been funded by the Dutch Research Council (NWO) Vernieuwingsimpuls research grant ‘Causal Inference with Panel Data’. Vasilis Sarafidis: The research of the author has been [funded] by the Australian Research Council (ARC) under research grant number DP-170103135. | en_US |
dc.format.extent | 2303 - 2333 | - |
dc.format.medium | Print-Electronic | - |
dc.language | English | - |
dc.language.iso | en_US | en_US |
dc.publisher | Springer Nature | en_US |
dc.rights | Attribution 4.0 International | - |
dc.rights.uri | https://creativecommons.org/licenses/by/4.0/ | - |
dc.subject | crime | en_US |
dc.subject | deterrence | en_US |
dc.subject | feedback | en_US |
dc.subject | omitted variable bias | en_US |
dc.subject | measurement error | en_US |
dc.subject | panel data | en_US |
dc.subject | GMM | en_US |
dc.title | Crime, deterrence and punishment revisited | en_US |
dc.type | Article | en_US |
dc.identifier.doi | https://doi.org/10.1007/s00181-019-01758-6 | - |
dc.relation.isPartOf | Empirical Economics: a quarterly journal of the Institute for Advanced Studies, Vienna | - |
pubs.publication-status | Published | - |
pubs.volume | 59 | - |
dc.identifier.eissn | 1435-8921 | - |
dc.rights.license | https://creativecommons.org/licenses/by/4.0/legalcode.en | - |
dcterms.dateAccepted | 2019-06-22 | - |
dc.rights.holder | The Author(s) | - |
Appears in Collections: | Dept of Economics and Finance Research Papers |
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