Qadri, Faisal Sultan and Kadri, Adeel Sultan (2010): Relationship between education, health and crime: fable, fallacy or fact. Published in: Pakistan Business Review No. Apr 2011 (1. January 2011): pp. 36-52.
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The study is an empirical evaluation of specific criminal activities. The relationship of criminal activities with inflation, unemployment, investment, education and health are examined through an annual data set from 1980 to 2007. To test the order of integration, Augmented Dickey Fuller test and Philips Perron are used. To find the evidences of long run relationship, Cointegrating Regression Durban Watson, Engle Granger two step procedure and Johansen and Juselis method is used. Results show that education and health have a positive and significant relationship with most of the criminal activities in the study. Another unusual finding is that inflation and unemployment are insignificant in case of two out of three crimes, however, investment is found highly significant and negatively related with these crimes. The study indicates that an educated, healthy and legally employed person can also be involved in unsophisticated blue collar criminal activities.
|Item Type:||MPRA Paper|
|Original Title:||Relationship between education, health and crime: fable, fallacy or fact|
|Keywords:||Education; health; Crime|
|Subjects:||I - Health, Education, and Welfare > I2 - Education and Research Institutions
I - Health, Education, and Welfare > I1 - Health
K - Law and Economics > K4 - Legal Procedure, the Legal System, and Illegal Behavior
|Depositing User:||Faisal Qadri|
|Date Deposited:||05. May 2011 12:08|
|Last Modified:||31. Dec 2015 00:53|
Anderson, A.D (1999). The Aggregate Burden of Crime. Journal of Law and Economics, 42-2, pp. 611-642.
Becker, G. (1968). Crime and Punishment: An Economic Approach. The Journal of Political Economy 76: pp. 169–217.
Cerro, M. A and Meloni, O. (2000). Determinants of the Crime Rate in Argentina during The ’90s. Estudios De Economia. 27- 2, 297–311.
Coomer, N(2003). America’s underclass and Crime: The influence of Macroeconomic factors. Issues in Political Economy, Vol. 12.
Dickey D. A and W.A Fuller (1979). Distribution of the Estimators for Autoregression Time Series with a Unit Root. Journal of American Statistical Association, 74-4, pp. 27 –31.
Dickey, D. A. and Fuller, W. A (1981). Likelihood Ratio Statistics for Autoregressive Time Series with Unit Root. Econometrica, 49, pp. 1057-1072.
Engle, F. R and Granger, J. W. C (1987).Co-Integration and Error Correction: Representation, Estimation, and Testing. Econometrica, Vol. 55, No. 2, pp. 251-276.
Gillani, M. Y., Rehman, H and Gill, R. A (2009). Unemployment, poverty, inflation and crime nexus: Cointegration and causality analysis of Pakistan. Pakistan Economic and Social Review, 47-1, pp. 79-98.
Government of Pakistan (1990). Economic Survey. Finance Division, Economic Advisors Wing, Islamabad, Pakistan.
Government of Pakistan (2000). Economic Survey. Finance Division, Economic Advisors Wing, Islamabad, Pakistan.
Government of Pakistan (2009). Economic Survey. Finance Division, Economic Advisors Wing, Islamabad, Pakistan.
Gumus, E (2004). Crime in Urban Areas: An Empirical Investigation. Akdeniz I.I.B.F. Dergisi, 4, pp. 98-109.
Johansen, S. (1988). Statistical Analysis of Cointegration Vectors. Journal of economic dynamics and control, 12, pp. 231-54.
Johansen, S. (1991). Estimation and Hypothesis testing of Cointegration vectors in Gaussian Vector Autoregressive Models. Econometrica, 59, pp. 1551-1580.
Johansen, S. (1992). Determination of Cointegration Rank in the Presence of a Linear Trend. Oxford Bulletin of Economics and Statistics, 54 pp. 383-397.
Johansen, S. and Juselius, K. (1990). Maximum Likelihood Estimation and Inference on Cointegration with applications to the Demand for Money. Oxford Bulletin of Economics and Statistics, 52(2), pp. 169-210.
Lochner, L. (2004). Education, Work and Crime: A Human Capital Approach. Working Paper 10478 National Bureau of Economic Research.
Lochner, L(2010). Education Policy and Crime. Working Paper 15894. National Bureau of Economic Research.
Machin, S and Meghir, C(2004) Crime and Economic Incentives The Journal of Human Resources, 39- 4, pp. 958- 979.
Mustard, B. D. (2010) How Do Labor Markets Affect Crime? New Evidence on an Old Puzzle Discussion Paper No. 4856 IZA.
Philips, P. C. B and Perron, P. (1988). Testing for a Unit Rootin Time Series Regression. Bio-Metrika, 75 pp.335-346.