Ahad, Muhammad (2016): Nexus Between Income Inequality, Crime, Inflation and Poverty: New Evidence from Structural Breaks for Pakistan. Published in: International Journal of Economics and Empirical Research , Vol. 4, No. 3 (March 2016): pp. 133-145.
Preview |
PDF
MPRA_paper_72429.pdf Download (761kB) | Preview |
Abstract
This paper examines the relationship between income inequality, crime, poverty and inflation over the period of 1984-2012 for Pakistan. Augmented Dickey-Fuller and Phillips-Perron unit root tests have been applied to test the stationarity of data. Perron structural break unit root test is used to test the stationary of data in the presence of single unknown structural break. The series are found to be stationary at first difference or I(1). The newly developed combine cointegration approach has been taken to test cointegration between variables. The problem of structural break is solved by using ARDL bound testing approach. Their results confirm the existence of the long run relationship between income inequality, crime, poverty and inflation. In long run, poverty, income inequality and inflation have found to be positive and significant impact on crime but, in short run, only income inequality has positive and significant impact on crime. The robustness of causal analysis is tested by Innovative Accounting Approach (IAA). The results explain that 23 percent of crime is explaining by shocks stimulating in income inequality and 42 percent of income inequality is explaining by shocks ruining in crime. This study opens up new insights for policy makers.
Item Type: | MPRA Paper |
---|---|
Original Title: | Nexus Between Income Inequality, Crime, Inflation and Poverty: New Evidence from Structural Breaks for Pakistan |
English Title: | Nexus Between Income Inequality, Crime, Inflation and Poverty: New Evidence from Structural Breaks for Pakistan |
Language: | English |
Keywords: | Income Inequality, Crime, Poverty, Pakistan |
Subjects: | D - Microeconomics > D6 - Welfare Economics > D63 - Equity, Justice, Inequality, and Other Normative Criteria and Measurement I - Health, Education, and Welfare > I3 - Welfare, Well-Being, and Poverty K - Law and Economics > K1 - Basic Areas of Law > K14 - Criminal Law |
Item ID: | 72429 |
Depositing User: | male muhammad ahad |
Date Deposited: | 08 Jul 2016 13:27 |
Last Modified: | 26 Sep 2019 14:47 |
References: | Auolakh, C. A. M. A. (1999). prison administration in Pakistan. S & S Publishers. Becker, G. S. (1968). Crime and punishment: An economic approach. Journal of Political Economy, Volume 76, pp. 169-217. Buonanno, P., & Montolio, D. (2008). Identifying the socio-economic and demographic determinants of crime across Spanish provinces. International Review of Law and Economics, 28(2), 89-97. Boswijk, P. H. (1994). Testing for Unstable Root in Conditional and Structural Error Correction Models. Journal of Econometrics, 63(1), 37-60 Bayer, C. & Hanck, C. (2013). Combining Non-Cointegration Tests. Journal of Time Series Analysis, 34(1), 83-95 Baharom, A. H. & Habibullah, M. S. (2008). Is crime cointegrated with income and unemployment? A panel data analysis on selected European countries. Munich Personal RePEc Archive(MPRA) paper no. 11927 Baharom, A. H., Habibullah, M. S. & Royfaizal, R. C. (2008). Convergence of violent crime in the United States: Time series test of nonlinear. Munich Personal RePEc Archive(MPRA) paper no. 11926 Brush, J. (2007). Does income inequality lead to more crime? A comparison of Cross-sectional and time-series analysis of United States counties, Economics letters, 96, 264-268 Cahill, M. E., & Mulligan, G. F. (2003). The Determinants of Crime in Tucson, Arizona1. Urban Geography, 24(7), 582-610. Cerro, A. M., & Ortega, A. C. (2012). Sources of Regional Crime Persistence Argentina 1980-2008. Munich Personal RePEc Archive(MPRA) paper no. 44482 Dahlberg, M., & Gustavsson, M. (2008). Inequality and Crime: Separating the Effects of Permanent and Transitory Income*. Oxford Bulletin of Economics and Statistics, 70(2), 129-153. Durante, A. (2012). Examining the Relationship between Income Inequality and Varieties of Crime in the United States. Dickey, D. A. and W. A. Fuller, (1981). Likelihood ratio statistics for autoregressive time series with a unit root. Econometrica, 49, 1057-1079 Elliott, G. R., Thomas, J. and J. H. Stock, (1996). Efficient tests for an autoregressive unit root. Econometrica,64, 813-836 Engle, R. F. and Granger, C. W. (1987). cointegration and error correction: representation, estimation and testing. Econometrica: Journal of the Econometric Society, 251-276 Fougère, D., Kramarz, F., & Pouget, J. (2009). Youth unemployment and crime in France. Journal of the European Economic Association, 7(5), 909-938. Gillani, S. Y. M., Rehman, H. U., & Gill, A. R. (2009). Unemployment, poverty, inflation and crime nexus: cointegration and causality analysis of Pakistan. Pakistan Economic and Social Review, 79-98. Habibullah, M. S., & Baharom, A. H. (2008). Crime and economic conditions in Malaysia: an ARDL bounds testing approach. Munich Personal RePEc Archive(MPRA) paper no. 11910 Hoogue, M., Vanhoutte, B., Hardyns, W., & Birgan, T. (2011). Unemployment, inequality, poverty and crime. British Journal of criminology,51, 1-20. Ibrahim, M. H. (2005). Sectoral effects of monetary policy: evidence from Malaysia. Asian Economics Journal, 19(1), 83-102 Johansen, S. (1991). Estimation and Hypothesis Testing of Cointegration Vectors in Gaussian Vector Autoregressive Model. Econometrica: Journal of the Econometric Society, 1551-1580 Kapuscinski, C. A., Braithwaite, J., & Chapman, B. (1998). Unemployment and crime: Toward resolving the paradox. Journal of Quantitative Criminology, 14(3), 215-243. Khan, N., Ahmed, J., Nawaz, M., & Zaman, K. (2015). The Socio-Economic Determinants of Crime in Pakistan: New Evidence on an Old Debate. Arab Economic and Business Journal, 10(2), 73-81. Merton, R. (1938). Social Structure and Anomie. American Sociological Review, 3:6, 72–82 Maddah, M. (2013). The effect of unemployment and income inequality on crimes, a time series analysis. International Journal of Economics Research, 4(2), 37-42 Nilsson, A. (2004). Income inequality and crime: The case of Sweden (No. 2004: 6). Working Paper, IFAU-Institute for Labour Market Policy Evaluation. Ng, S. and Perron, P. (2001). Lag length selection and the construction of unit root test with good size and power. Econometrica, 69, 1519-1554 Narayan, P. K., (2005). The saving and investment nexus for China: evidence from cointegration tests. Applied Economics 37, 1979-1990. Neumayer, E. (2005). Inequality and violent crime: Evidence from data on robbery and violent theft. Journal of peace research, 42(1), 101-112. Phillips, P. C. and Ouliaris. S. (1990). Asymptotic Properties of Residual Based Tests for Cintegration. Economatrica: Journal of Econometric Society, 165-193 Pesaran, M.H., Shin, Y., and Smith, R.J., (2001). Bounds testing approaches to the analysis of level relationships. Journal of Applied Econometrics, 16, 289-326 Perron, P. (1997). Further evidence on breaking trend functions in macroeconomic variables. Journal of econometrics, 80(2), 355-385. Phillips, P. C. B. and Perron, P. (1988). Testing for a unit root in time series regressions. Biometrika, 75, 335-346 Pesaran, M. H. and Shin, Y. (1999). An autoregressive distributed lag modeling approach to Cointegration analysis. Chapter 11 in Econometrics and Economic Theory in the 20 century: The Ragnar Frisch Centennial Symposium, Strom S. (ed). Cambridge University Press: Cambridge Raja, M. G. and Ullah, K. (2013). Relationship between crimes and economic conditions in Pakistan: a time series approach. Journal of Asian Development studies, 2(1), 62-76 Rushton, J. P., & Whitney, G. (2002). Cross-national variation in violent crime rates: Race, rK theory, and income. Population and Environment,23(6), 501-511. Smith, A. (1937). The wealth of Nation. The modern library, Random House, Inc. Wu, D., & Wu, Z. (2012). Crime, inequality and unemployment in England and Wales. Applied Economics, 44(29), 3765-3775. |
URI: | https://mpra.ub.uni-muenchen.de/id/eprint/72429 |