Arbeitspapier

Are Crime Rates Really Stationary?

Many empirical studies of the economics of crime focus solely on the determinants thereof, and do not consider the dynamic and cross-sectional properties of their data. As a response to this, the current paper offers an in-depth analysis of this issue using data covering 21 Swedish counties from 1975 to 2008. The results suggest that the four crime types considered are non-stationary, and that this cannot be attributed to county specific disparities, but rather that it is due to a small number of common stochastic trends to which groups of counties tend to revert. The results further suggest that these trends can be given a macroeconomic interpretation. Our findings are consistent with recent theoretical models predicting that crime should be dependent across both time and counties.

Sprache
Englisch

Erschienen in
Series: Working Paper ; No. 2009:20

Klassifikation
Wirtschaft
Multiple or Simultaneous Equation Models: Time-Series Models; Dynamic Quantile Regressions; Dynamic Treatment Effect Models; Diffusion Processes; State Space Models
Multiple or Simultaneous Equation Models: Panel Data Models; Spatio-temporal Models
Consumption, Saving, Production, Investment, Labor Markets, and Informal Economy: General (includes Measurement and Data)
Legal Procedure, the Legal System, and Illegal Behavior: General
Thema
Crime
Non-stationary data
Panel unit root tests
Common factor

Ereignis
Geistige Schöpfung
(wer)
Joakim, Westerlund
Johan, Blomquist
Ereignis
Veröffentlichung
(wer)
Lund University, School of Economics and Management, Department of Economics
(wo)
Lund
(wann)
2009

Handle
Letzte Aktualisierung
10.03.2025, 11:43 MEZ

Datenpartner

Dieses Objekt wird bereitgestellt von:
ZBW - Deutsche Zentralbibliothek für Wirtschaftswissenschaften - Leibniz-Informationszentrum Wirtschaft. Bei Fragen zum Objekt wenden Sie sich bitte an den Datenpartner.

Objekttyp

  • Arbeitspapier

Beteiligte

  • Joakim, Westerlund
  • Johan, Blomquist
  • Lund University, School of Economics and Management, Department of Economics

Entstanden

  • 2009

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