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Relationship between education, health and crime: fable, fallacy or fact

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  • Qadri, Faisal Sultan
  • Kadri, Adeel Sultan

Abstract

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.

Suggested Citation

  • Qadri, Faisal Sultan & Kadri, Adeel Sultan, 2010. "Relationship between education, health and crime: fable, fallacy or fact," MPRA Paper 30638, University Library of Munich, Germany.
    • Handle: RePEc:pra:mprapa:30638
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    References listed on IDEAS

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    3. Johansen, Soren & Juselius, Katarina, 1990. "Maximum Likelihood Estimation and Inference on Cointegration--With Applications to the Demand for Money," Oxford Bulletin of Economics and Statistics, Department of Economics, University of Oxford, vol. 52(2), pages 169-210, May.
    4. Engle, Robert & Granger, Clive, 2015. "Co-integration and error correction: Representation, estimation, and testing," Applied Econometrics, Russian Presidential Academy of National Economy and Public Administration (RANEPA), vol. 39(3), pages 106-135.
    5. Mirko Draca & Stephen Machin, 2015. "Crime and Economic Incentives," Annual Review of Economics, Annual Reviews, vol. 7(1), pages 389-408, August.
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    7. Johansen, Soren, 1991. "Estimation and Hypothesis Testing of Cointegration Vectors in Gaussian Vector Autoregressive Models," Econometrica, Econometric Society, vol. 59(6), pages 1551-1580, November.
    8. Lance Lochner, 2004. "Education, Work, And Crime: A Human Capital Approach," International Economic Review, Department of Economics, University of Pennsylvania and Osaka University Institute of Social and Economic Research Association, vol. 45(3), pages 811-843, August.
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    Cited by:

    1. Shiao-Yen Liu & Po-Chin Wu & Tsai-Yuan Huang, 2018. "Nonlinear Causality between Education and Health: the Role of Human Development Index," Applied Research in Quality of Life, Springer;International Society for Quality-of-Life Studies, vol. 13(3), pages 761-777, September.
    2. Awais Anwar & Noman Arshed & Sofia Anwar, 2017. "Socio-economic Determinants of Crime: An Empirical Study of Pakistan," International Journal of Economics and Financial Issues, Econjournals, vol. 7(1), pages 312-322.
    3. Saqib Amin & Nawaz Ahmad, 2018. "Ethnic Diversity, Social Exclusion and Economic Determinants of Crimes: A Case Study of Pakistan," Social Indicators Research: An International and Interdisciplinary Journal for Quality-of-Life Measurement, Springer, vol. 140(1), pages 267-286, November.
    4. Qamar, Alina & Safdar, Maria, 2021. "The Role of Human Capital, Corruption and Quality of Life in Determining the Crime Rate: Empirics from Pakistan," MPRA Paper 107633, University Library of Munich, Germany.

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    More about this item

    Keywords

    Education; health; Crime;
    All these keywords.

    JEL classification:

    • I2 - Health, Education, and Welfare - - Education
    • I1 - Health, Education, and Welfare - - Health
    • K4 - Law and Economics - - Legal Procedure, the Legal System, and Illegal Behavior

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