title: The impact of population heterogeneity and income inequality on homicide rates: a cross-national assessment.
abstract: The current research produces regression models with sample sizes from 127 to 131 by initially employing a data set of 170 nations. The current study finds that ethnic heterogeneity and linguistic heterogeneity lead to higher homicide rates. However, religious heterogeneity has no impact on homicide rates. The present article also tests an interaction effect between population heterogeneity and income inequality. Unlike J. R. Blau and Blau (1982) and Avision and Loring (1986) proposition, the interaction term is not related to national homicide rates. The current study also discusses the theoretical implications of those findings.
authors: Keiser University, FL, USA. Dcc8871@msn.com
authors: Don Soo
authors: DS
authors: Chon
mesh_terms: D000069:Acculturation; D000328:Adult; D003431:Cross-Cultural Comparison; D003430:Cross-Sectional Studies; D018864:Cultural Diversity; D005260:Female; D006708:Homicide / Q000331:legislation & jurisprudence / Q000706:statistics & numerical data*; D006801:Humans; D007182:Income; D007802:Language; D008297:Male; D012044:Regression Analysis; D012069:Religion and Psychology; D012307:Risk Factors; D012959:Socioeconomic Factors; D013223:Statistics as Topic; D014754:Violence / Q000331:legislation & jurisprudence / Q000706:statistics & numerical data; D055815:Young Adult