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Offenders as Victims of Crime? An Investigation into the Relationship Between Criminal Behaviour and Victimisation

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  • Deadman, Derek

    (University of Leicester)

  • Ziggy MacDonald

Abstract

In this paper we consider the association between victimisation and offending behaviour using data from the Youth Lifestyles Survey. We consider the impact of violent, non-violent and persistent offending on the probability of being a victim of violent and non-violent crime and find a positive association between these using univariate probit estimates. However, taking into account the endogenous nature of offending and victimisation via a bivariate probit model, we find that univariate estimates understate the association. We suggest that policy recommendations should only be based on the bivariate analysis of the association between offending and victimisation.

Suggested Citation

  • Deadman, Derek & Ziggy MacDonald, 2002. "Offenders as Victims of Crime? An Investigation into the Relationship Between Criminal Behaviour and Victimisation," Royal Economic Society Annual Conference 2002 57, Royal Economic Society.
  • Handle: RePEc:ecj:ac2002:57
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    Cited by:

    1. Bridges, Sarah & Disney, Richard, 2010. "Debt and depression," Journal of Health Economics, Elsevier, vol. 29(3), pages 388-403, May.
    2. Ali Fakih & Pascal L. Ghazalian, 2015. "What factors influence firm perceptions of labour market constraints to growth in the MENA region?," International Journal of Manpower, Emerald Group Publishing, vol. 36(8), pages 1181-1206, November.
    3. George Saridakis & Sandra Sookram, 2014. "Violent Crime and Perceived Deterrence: An Empirical Approach using the Offending Crime and Justice Survey," Economic Issues Journal Articles, Economic Issues, vol. 19(1), pages 23-56, March.
    4. Lyssenko, Nikita & Martinez-Espineira, Roberto, 2009. "`Been there done that': Disentangling option value effects from user heterogeneity when valuing natural resources with a use component," MPRA Paper 21976, University Library of Munich, Germany, revised 08 Apr 2010.
    5. Saridakis George, 2013. "Shop Crime and Deterrence: Evidence on Shoplifting among Young People in the Youth Lifestyle Survey (YLS)," Review of Law & Economics, De Gruyter, vol. 9(2), pages 197-237, September.
    6. D. Fabbri & C. Monfardini & R. Radice, 2004. "Testing exogeneity in the bivariate probit model: Monte Carlo evidence and an application to health economics," Working Papers 514, Dipartimento Scienze Economiche, Universita' di Bologna.
    7. Entorf, Horst, 2013. "Criminal Victims, Victimized Criminals, or Both? A Deeper Look at the Victim-Offender Overlap," IZA Discussion Papers 7686, Institute for the Study of Labor (IZA).
    8. Chuhui Li & Donald S. Poskitt & Xueyan Zhao, 2016. "The Bivariate Probit Model, Maximum Likelihood Estimation, Pseudo True Parameters and Partial Identification," Monash Econometrics and Business Statistics Working Papers 16/16, Monash University, Department of Econometrics and Business Statistics.
    9. Georgios Papadopoulos, 2013. "Immigration Status and Victimization: Evidence from the British Crime Survey," University of East Anglia Applied and Financial Economics Working Paper Series 042, School of Economics, University of East Anglia, Norwich, UK..

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