Sadia Yasmin2025-07-312025-07-312016https://escholar.umt.edu.pk/handle/123456789/4155The aim of this study is to explorethe factors which directly and indirectly affects violent and non-violent crime in Pakistan. Time series data set is taken for the period from 1981 to 2014. ARDL cointegration technique is applied to find long run cointegration between crime and its factors in Pakistan. The selected explanatory variables are household consumption, education, population density, unemployment, urbanization, poverty, investment and inflation. Our analysis provides evidence that inequality is unlikely to be a positive factor in determining property crime rates but does have a positive significant impact on violent crime. Household consumption, inflation and demographic variables found to be most consistent positively significant determinants of both types of crime. Education and investment have found to be more significant factors in reducing both violent and non-violent crimes in Pakistan. The study recommends that government should control the inflation. Moreover, education system should be improved and also provide more employment opportunities through investment in new projects, otherwise violent behaviour may promote due to frustrated educated persons in the country.en-USThesis