Büttner, Thiess ; Spengler, Hannes (2003)
Local Determinants of Crime: Distinguishing between Resident and Non-Resident Offenders.
Report, Bibliographie
Kurzbeschreibung (Abstract)
The paper revisits the local determinants of crime using a spatial model distinguishing between resident and non-resident offenders. Employing data for German municipalities, the model is estimated by means of a spatial GMM approach. Focusing on resident offenders legal earnings opportunities and the expected gain from offenses are found to be important determinants of crime. Also the socio-economic background in terms of unemployment, poverty, and inequality proves significant for both property and violent crime. Whereas local inequality only shows an effect on crime committed by resident offenders, crime committed by non-resident offenders is shown to be significantly related to the characteristics in adjacent municipalities such as unemployment and income.
| Typ des Eintrags: | Report |
|---|---|
| Erschienen: | 2003 |
| Autor(en): | Büttner, Thiess ; Spengler, Hannes |
| Art des Eintrags: | Bibliographie |
| Titel: | Local Determinants of Crime: Distinguishing between Resident and Non-Resident Offenders |
| Sprache: | Englisch |
| Publikationsjahr: | Februar 2003 |
| Ort: | Darmstadt |
| Reihe: | Darmstadt Discussion Papers in Economics |
| Band einer Reihe: | 120 |
| Kurzbeschreibung (Abstract): | The paper revisits the local determinants of crime using a spatial model distinguishing between resident and non-resident offenders. Employing data for German municipalities, the model is estimated by means of a spatial GMM approach. Focusing on resident offenders legal earnings opportunities and the expected gain from offenses are found to be important determinants of crime. Also the socio-economic background in terms of unemployment, poverty, and inequality proves significant for both property and violent crime. Whereas local inequality only shows an effect on crime committed by resident offenders, crime committed by non-resident offenders is shown to be significantly related to the characteristics in adjacent municipalities such as unemployment and income. |
| Freie Schlagworte: | Crime, Causes of Crime, Cross-Sectional Study, Spatial Econometrics, Crime Spillovers, Neighborhood Effects, Instrumental Variables |
| Zusätzliche Informationen: | JEL-Classification: K42, R19, J61, J19 |
| Fachbereich(e)/-gebiet(e): | 01 Fachbereich Rechts- und Wirtschaftswissenschaften 01 Fachbereich Rechts- und Wirtschaftswissenschaften > Volkswirtschaftliche Fachgebiete |
| Hinterlegungsdatum: | 29 Okt 2009 14:54 |
| Letzte Änderung: | 29 Mai 2016 21:17 |
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