The Dynamics of Gang Criminality and Corruption in Nigeria Universities: A Time Series Analysis
This study contributes to the understanding of the causal relationship between gang culture, criminality and corruption in Nigeria universities where both criminality and corruption are very high complementary variables. Writers on gang culture in Nigeria universities have largely omitted the empirical evaluation of the causal relationship between gang criminality and corruption. This study adopts the time-series models of Granger (1969) to investigate and explain the causality relationship of the variables. Using five years data (2005-2009) from 37 Universities across 36 States of Nigeria and Abuja, the federal capital territory; the results suggest that there is existence of reciprocal relationship between university gang culture, criminality and corruption. The results suggest that there is bi-directional causality relationship flowing between gang criminality and corruption in the universities.
|Date of creation:||07 Oct 2010|
|Publication status:||Published in African Journal of Law and Criminology 1.1(2011): pp. 52-63|
|Contact details of provider:|| Postal: Ludwigstraße 33, D-80539 Munich, Germany|
Web page: https://mpra.ub.uni-muenchen.de
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- Engle, Robert F & Manganelli, Simone, 1999.
"CAViaR: Conditional Autoregressive Value at Risk by Regression Quantiles,"
University of California at San Diego, Economics Working Paper Series
qt06m3d6nv, Department of Economics, UC San Diego.
- Robert F. Engle & Simone Manganelli, 2004. "CAViaR: Conditional Autoregressive Value at Risk by Regression Quantiles," Journal of Business & Economic Statistics, American Statistical Association, vol. 22, pages 367-381, October.
- Robert Engle & Simone Manganelli, 2000. "CAViaR: Conditional Autoregressive Value at Risk by Regression Quantiles," Econometric Society World Congress 2000 Contributed Papers 0841, Econometric Society.
- Engle, Robert F, 1982. "Autoregressive Conditional Heteroscedasticity with Estimates of the Variance of United Kingdom Inflation," Econometrica, Econometric Society, vol. 50(4), pages 987-1007, July.
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