Local Determinants of Crime: Distinguishing Between Resident and Non-resident Offenders

Konferenzbeitrag

The paper explores the differences in the empirical determinants of crime using a spatial model which distinguishes resident and non-resident offenders. Using data for German municipalities, the model is estimated by means of a spatial GMM approach, where the local property value is instrumented by a couple of amenity variables. The results show that aside of the local property value several local population characteristics, such as income, poverty, inequality, unemployment, family disruption, and citizenship have the expected effects on crime committed by resident offenders. However, crime committed by non-resident offenders is shown to be significantly related to the conditions in adjacent municipalities as captured by spatial lags of population characteristics.

Angaben zum Objekt

• Sprache: Englisch

Verweise und Beziehungen

• Erschienen in: Series: 43rd Congress of the European Regional Science Association: "Peripheries, Centres, and Spatial Development in the New Europe", 27th - 30th August 2003, Jyväskylä, Finland

Klassifikation und Themen

• Klassifikation: Wirtschaft

Beteiligte, Orts- und Zeitangaben

• Ereignis: Geistige Schöpfung
• (wer): Buettner, Thiess
• Ereignis: Veröffentlichung
• (wer): European Regional Science Association (ERSA)
• (wo): Louvain-la-Neuve
• (wann): 2003

Weitere Informationen

• Handle: http://hdl.handle.net/10419/116153
• Letzte Aktualisierung: 10.03.2025, 11:43 MEZ