Stochastic Models of Crime Rates

Abstract

Empirical-stochastic models of index crimes are developed in ten major metropolitan areas. Detailed examples of the model building and forecasting ability of the models are illustrated. Characteristics of the resulting model forms are briefly discussed relative to their use in forecasting and resource assignment in criminal justice planning. The existence of uniform underlying causal mechanisms for given crime types are also discussed from re-occurring model forms.