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The Role of Social Factors in Explaining Crime

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  • Hamzah, Siti Nur Zahara
  • Lau, Evan
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Abstract

Utilizing Malaysia data from 1973 to 2008, the study reveals that crime can be influenced by population, fertility, unemployment, and GDP in either the long-run or short-run period. This study also further analysed beyond sample estimations of the variables involved and found that although violent crime can be explained in the short-run only from the VECM analysis, it is found to be explained by other explanatory variables in the long-run of beyond sample for at least 50 years ahead. It is important for policy makers to focus in both social structure and economic conditions to help prevent crime in the long-run.

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Bibliographic Info

Paper provided by University Library of Munich, Germany in its series MPRA Paper with number 43518.

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Date of creation: 01 Jan 2013
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Handle: RePEc:pra:mprapa:43518

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Keywords: fertility; violent; property; unemployment; VECM; causality;

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  1. Steven D. Levitt, 2004. "Understanding Why Crime Fell in the 1990s: Four Factors that Explain the Decline and Six that Do Not," Journal of Economic Perspectives, American Economic Association, vol. 18(1), pages 163-190, Winter.
  2. Granger, Clive W.J., 2004. "Time Series Analysis, Cointegration, and Applications," University of California at San Diego, Economics Working Paper Series qt2nb9f668, Department of Economics, UC San Diego.
  3. Baharom, A.H. & Habibullah, M.S., 2008. "Crime and Income Inequality: The Case of Malaysia," MPRA Paper 11871, University Library of Munich, Germany.
  4. Becker, Gary S., 1971. "The Economics of Discrimination," University of Chicago Press Economics Books, University of Chicago Press, edition 1, number 9780226041162.
  5. Becker, Gary S, 1973. "A Theory of Marriage: Part I," Journal of Political Economy, University of Chicago Press, vol. 81(4), pages 813-46, July-Aug..
  6. Baharom, A.H. & Habibullah, M.S., 2008. "Is crime cointegrated with income and unemployment?: A panel data analysis on selected European countries," MPRA Paper 11927, University Library of Munich, Germany.
  7. Gary S. Becker, 1974. "Crime and Punishment: An Economic Approach," NBER Chapters, in: Essays in the Economics of Crime and Punishment, pages 1-54 National Bureau of Economic Research, Inc.
  8. Gary S. Becker, 1974. "A Theory of Marriage: Part II," NBER Chapters, in: Marriage, Family, Human Capital, and Fertility, pages 11-26 National Bureau of Economic Research, Inc.
  9. Ehrlich, Isaac, 1973. "Participation in Illegitimate Activities: A Theoretical and Empirical Investigation," Journal of Political Economy, University of Chicago Press, vol. 81(3), pages 521-65, May-June.
  10. 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.
  11. Tang, Chor Foon & Lean, Hooi Hooi, 2009. "New evidence from the misery index in the crime function," Economics Letters, Elsevier, vol. 102(2), pages 112-115, February.
  12. Christopher A. Sims, 1982. "Policy Analysis with Econometric Models," Brookings Papers on Economic Activity, Economic Studies Program, The Brookings Institution, vol. 13(1), pages 107-164.
  13. Kevin A. Clarke, 2012. "More Phantom Than Menace1," Conflict Management and Peace Science, Peace Science Society (International), vol. 29(2), pages 239-241, April.
  14. Johansen, Soren, 1988. "Statistical analysis of cointegration vectors," Journal of Economic Dynamics and Control, Elsevier, vol. 12(2-3), pages 231-254.
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