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Gender convergence in crime: Evidence from Canadian adult offense charge data

  • Chen, Jyh-Yaw Joseph
  • Giles, David E.A.

This paper contributes new evidence relating to the hypothesis that there has been convergence between certain male and female offences over time. Using time-series data for adults charged with offences in Canada over the period 1983 to 2000, we conduct several formal econometric tests of the convergence hypothesis. This study allows for the non-stationarity of the data; structural breaks in some of the time-series; and it employs several new tests that have not previously been applied to this problem. Our results provide the first strong evidence of gender-convergence for a range of offences in Canada.

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Article provided by Elsevier in its journal Journal of Criminal Justice.

Volume (Year): 32 (2004)
Issue (Month): 6 ()
Pages: 593-606

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Handle: RePEc:eee:jcjust:v:32:y:2004:i:6:p:593-606
Contact details of provider: Web page: http://www.elsevier.com/locate/jcrimjus

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  1. Perron, Pierre, 1989. "The Great Crash, the Oil Price Shock, and the Unit Root Hypothesis," Econometrica, Econometric Society, vol. 57(6), pages 1361-1401, November.
  2. Greasley, David & Oxley, Les, 1997. "Time-series based tests of the convergence hypothesis: Some positive results," Economics Letters, Elsevier, vol. 56(2), pages 143-147, October.
  3. Gary S. Becker, 1968. "Crime and Punishment: An Economic Approach," Journal of Political Economy, University of Chicago Press, vol. 76, pages 169.
  4. Bernard, A.B. & Durlauf, S.N., 1993. "Convergence in International Output," Working papers 93-7, Massachusetts Institute of Technology (MIT), Department of Economics.
  5. Kurozumi, Eiji, 2002. "Testing for stationarity with a break," Journal of Econometrics, Elsevier, vol. 108(1), pages 63-99, May.
  6. Kaddour Hadri, 1999. "Testing For Stationarity In Heterogeneous Panel Data," Research Papers 1999_04, University of Liverpool Management School.
  7. Im, Kyung So & Pesaran, M. Hashem & Shin, Yongcheol, 2003. "Testing for unit roots in heterogeneous panels," Journal of Econometrics, Elsevier, vol. 115(1), pages 53-74, July.
  8. Banerjee, Anindya & Dolado, Juan J. & Galbraith, John W. & Hendry, David, 1993. "Co-integration, Error Correction, and the Econometric Analysis of Non-Stationary Data," OUP Catalogue, Oxford University Press, number 9780198288107, March.
  9. Kwiatkowski, Denis & Phillips, Peter C. B. & Schmidt, Peter & Shin, Yongcheol, 1992. "Testing the null hypothesis of stationarity against the alternative of a unit root : How sure are we that economic time series have a unit root?," Journal of Econometrics, Elsevier, vol. 54(1-3), pages 159-178.
  10. Engle, Robert F & Granger, Clive W J, 1987. "Co-integration and Error Correction: Representation, Estimation, and Testing," Econometrica, Econometric Society, vol. 55(2), pages 251-76, March.
  11. Freeman, Richard B., 1999. "The economics of crime," Handbook of Labor Economics, in: O. Ashenfelter & D. Card (ed.), Handbook of Labor Economics, edition 1, volume 3, chapter 52, pages 3529-3571 Elsevier.
  12. Attila Hornok & Rolf Larsson, 2000. "The finite sample distribution of the KPSS test," Econometrics Journal, Royal Economic Society, vol. 3(1), pages 108-121.
  13. Austin, Roy L., 1993. "Recent trends in official male and female crime rates: The convergence controversy," Journal of Criminal Justice, Elsevier, vol. 21(5), pages 447-466.
  14. Dickey, David A & Fuller, Wayne A, 1981. "Likelihood Ratio Statistics for Autoregressive Time Series with a Unit Root," Econometrica, Econometric Society, vol. 49(4), pages 1057-72, June.
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