Abstract
Using the International Crime Victimization Survey (ICVS), this study investigates the relative contribution of macro-level variables (democracy level, modernization, world system status, and inequality) and individual-level variables (marital status, age, gender, education, income) in predicting the occurrence and intensity of personal crime victimization. The analysis utilizes multilevel regression, which controls for the ‘‘nesting’’ of individuals living in the same nation and controls for unmeasured random effects among the 42 nations under study. The results of the zero-inflated negative binomial (ZINB) regression analysis indicate that individual characteristics are better predictors of both the occurrence and intensity of personal crime victimization than are macro-level variables related to political and economic conditions of nations. Findings of the current study diverge from those of previous international studies that used official crime data.
Sign-in/Register to access full text options 
Talk to us
Join us for a 30 min session where you can share your feedback and ask us any queries you have
Schedule a callDisclaimer: All third-party content on this website/platform is and will remain the property of their respective owners and is provided on "as is" basis without any warranties, express or implied. Use of third-party content does not indicate any affiliation, sponsorship with or endorsement by them. Any references to third-party content is to identify the corresponding services and shall be considered fair use under The CopyrightLaw.
