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The relationships among various subsets of economic development, poverty, crime, and/or income inequality have been separately investigated in several theoretical and empirical studies. However, there has been very little empirical analysis on the interdependence among all these variables in one framework. This paper examines the causality between economic development and poverty while incorporating crime and inequality. It employs a co-integration test, a 4-variable vector autoregressive (VAR) model, and a Granger test in the US over the period 1959–2001. Findings reveal a feedback loop mechanism between economic development, poverty, and crime. Interestingly, income inequality as measured by the Gini coefficient has no important impact on any of the variables. [Copyright &y& Elsevier]