Violent Crime in the United States of America: A Time-Series Analysis Between 1960–2000

Saridakis, George

doi:10.1023/b:ejle.0000045082.09601.b2

Cited by 65 publications

(32 citation statements)

References 58 publications

(64 reference statements)

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“…the recent debate that has emerged around the relevance of the economic crime theory to explain violent behavior (e.g. Saridakis, 2004). This study takes stock of the existing empirical studies and tries to overcome limitations in several ways.…”

Section: Introductionmentioning

confidence: 99%

Crime, deterrence and unemployment in Greece: A panel data approach

Saridakis

Spengler

2012

The Social Science Journal

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Standard-Nutzungsbedingungen:Die Dokumente auf EconStor dürfen zu eigenen wissenschaftlichen Zwecken und zum Privatgebrauch gespeichert und kopiert werden.Sie dürfen die Dokumente nicht für öffentliche oder kommerzielle Zwecke vervielfältigen, öffentlich ausstellen, öffentlich zugänglich machen, vertreiben oder anderweitig nutzen.Sofern die Verfasser die Dokumente unter Open-Content-Lizenzen (insbesondere CC-Lizenzen) zur Verfügung gestellt haben sollten, gelten abweichend von diesen Nutzungsbedingungen die in der dort genannten Lizenz gewährten Nutzungsrechte. This study empirically examines the relationship between crime, deterrence and unemployment in Greece. A regional dataset over the period 1991-1998 was collected and analyzed. Our econometric methodology follows the Generalized Method of Moments (GMM) estimator applied to dynamic models of panel data. The results show that property crimes are significantly deterred by higher clear-up rates. Also for property crime rates, the results indicate that unemployment increases crime. For violent crimes, however, the effect of the clear-up rate and unemployment are found to be insignificant. Terms of use: Documents in

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Section: Introductionmentioning

confidence: 99%

Crime, deterrence and unemployment in Greece: A panel data approach

Saridakis

Spengler

2012

The Social Science Journal

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“…Di Tella, Galiani and Schargrodsky (2002, p. 4), for example, state with reference to FLL (2002a) that 'the main conclusion of the paper is that income inequality, measured by the Gini index, has a robust, significant and positive effect on the incidence of violent crimes'. Since publication, dozens of other authors have cited FLL's finding of a strong link between inequality and violent crimesee, for example, Buvinić & Morrison (2000), Gartner (2000), World Health Organization (2002), Alvarez (2002), Prillaman (2003), Saridakis (2003) and Glaeser, Scheinkman & Shleifer (2003). The World Bank's official World Development Report (2003: 155) Bourguignon (2001) and Neumayer (2003) none of these authors seem to question FLL's findings.…”

Section: Introductionmentioning

confidence: 99%

Inequality and Violent Crime: Evidence from Data on Robbery and Violent Theft

Neumayer

2005

Journal of Peace Research

109

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This article argues that the link between income inequality and violent property crime might be spurious, complementing a similar argument in prior analysis by the author on the determinants of homicide. In contrast, Fajnzylber, Lederman & Loayza (1998; 2002a, b) provide seemingly strong and robust evidence that inequality causes a higher rate of both homicide and robbery/violent theft even after controlling for country-specific fixed effects. Our results suggest that inequality is not a statistically significant determinant, unless either countryspecific effects are not controlled for or the sample is artificially restricted to a small number of countries. The reason why the link between inequality and violent property crime might be spurious is that income inequality is likely to be strongly correlated with country-specific fixed effects such as cultural differences. A high degree of inequality might be socially undesirable for any number of reasons, but that it causes violent crime is far from proven.

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“…According to this 'opportunity perspective', as unemployed are engaged in a reduced number of social interactions, their 'opportunities' for delinquency are reduced 5 . Evidence is available only for violent crime (e.g., Cotte Poveda, 2011;Saridakis 2004;Levitt, 2001;Entorf andSpengler, 2000, Britt, 1997). Since unemployment is likely to proxy also for income distribution (e.g., Brandolini et al, 2004), a 4 Also for unemployment, we consider the one year lagged values of both rates, following the empirical strategy discussed in Allen (1996) and Levitt (2001).…”

Section: Additional Controls For Crime and Time Preferences Proxiesmentioning

confidence: 99%