Habibullah, M.S. and Law, Siong-Hook (2008): Property crime and macroeconomic variables in Malaysia: Some empirical evidence from a vector error-correction model.
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Abstract
In this study we investigated the long-run relationship between property crime and three macro-financial economic variables in Malaysia for the period 1973 to 2003. In order to avoid what the econometrician term as ‘spurious regression problem’ we estimate the model using the vector-error correction (VECM) framework. The results tend to suggest that there are long-run relationship between property crime and the three macroeconomic variables in Malaysia. Our VECM results, however, suggest that there is no long-run and short-run causal effect of the three macro-variables on the property crime. Nevertheless, our variance decomposition results indicate that property crime in Malaysia is affect by economic growth measure by real income per capita. But, given the short sample nature of this study, our results should be viewed with cautious.
Item Type: | MPRA Paper |
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Original Title: | Property crime and macroeconomic variables in Malaysia: Some empirical evidence from a vector error-correction model |
Language: | English |
Keywords: | property crime; Malaysia; vectot error-correction model |
Subjects: | E - Macroeconomics and Monetary Economics > E2 - Consumption, Saving, Production, Investment, Labor Markets, and Informal Economy > E24 - Employment ; Unemployment ; Wages ; Intergenerational Income Distribution ; Aggregate Human Capital ; Aggregate Labor Productivity K - Law and Economics > K0 - General > K00 - General |
Item ID: | 12112 |
Depositing User: | Baharom Abdul Hamid |
Date Deposited: | 12 Dec 2008 19:39 |
Last Modified: | 26 Sep 2019 15:46 |
References: | Becker, G.S. (1968). Crime and Punishment: An Economic Approach. Journal of Political Economy 76: 1169-1217. Charemza, W.W. and Deadman, D.F. (1992). New Direction in Econometric Practice. England: Edward Elgar. Cuthbertson, K., Hall, S.G. and Taylor, M.P. (1992). Applied Econometric Techniques. New York: Harvester Wheatsheaf. Deadman, D.F. and Pyle, D.J. (1997). Forecasting Recorded Property Crime using a Time-Series Econometric Model. British Journal of Criminology 37(3): 437-445. Dickey, D.A. and Fuller, W.A. (1981). Likelihood Ratio Statistics for Autoregressive Time Series with a Unit Root. Econometrica 49: 1057-1077. Dickey, D.A., Jansen, D.W. and Thronton, D.L. (1991). A Primer on Cointegration with an Application to Money and Income. Federal Reserve Bank of St. Louis Review 73: 58-78. Engle, R.F. and Granger, C.W.J. (1987). Co-integration and Error Correction: Representation, Estimation and Testing. Econometrica 55: 251-276. Ehrlich, I. (1973). Participation in Illegitimate Activities: A Theoretical and Empirical Investigation. Journal of Political Economy 38(3): 521-565. Fajnzylber, P., Lederman, D. and Loayza, N. (2002). What Causes Violent Crime? European Economic Review 46: 1323-1357. Freeman, R.B. (1996). Why Do So Many Young American Men Commit Crimes and What Might We Do About It. Journal of Economic Perspectives 10(1): 25-42. Granger, C.W.J. (1988). Some Recent Development in a Concept of Causality. Journal of Econometrics 36: 199-211. Hale, C. (1998). Crime and the Business Cycle in Post-War Britain Revisited. British Journal of Criminology 38(4): 61-698. Johansen, S. (1988). Statistical Analysis of Cointegration Vectors. Journal of Economic Dynamics and Control 12: 231-254. Johansen, S. and Juselius, K. (1990). Maximum Likelihood Estimation and Inference on Cointegration with Application to the Demand for Money. Oxford Bulletin of Economics and Statistics 52: 169-210. Jones, G. and Kutan, A.M. (2004). Volatile Interest Rates, Volatile Crime Rates: A New Argument for Interest Rates Smoothing. William Davidson Institute Working Papers Number 694, The William Davidson Institute at the University of Michigan Business School. USA. MacKinnon, J.G. (1996). Numerical Distribution Functions for Unit Root and Cointegration Tests. Journal of Applied Econometrics 11: 601-618. Masin, A.M.M. and Msih, R. (1996). Temporal Causality and the Dynamics of Different Categories of Crime and Their Socioeconomic Determinants: Evidence from Australia. Applied Economics 28: 1093-1104. Osterwald-Lenum, M. (1992). A Note with Quantiles of the Asymptotic Distribution of the Maximum Likelihood Cointegration Rank Test Statistics. Oxford Bulletin of Economics and Statistics 54: 461-472. Pyle, D.J. and Deadman, D.F. (1994). Crime and the Business Cycle in Post-War Britain. British Journal of Criminology 34(3): 339-357. Scorcu, A.E. and Cellini, R. (1998). Economic Activity and Crime in the Long-run: An Empirical Investigation on Aggregate Data from Italy, 1951-1994. International Review of Law and Economics 18: 279-292. |
URI: | https://mpra.ub.uni-muenchen.de/id/eprint/12112 |