Administrative (de)centralization,performance equity,and outcome achievement in rural contexts: An empirical study of U.S. child welfare systems

Whether public services are better delivered through centralized or decentralized administrative systems is one of the most enduring debates in public administration. This article contributes to the debate with a study of program outcome achievement in U.S. child welfare services. We examine whether centralized state‐administered or decentralized county‐administered systems are more successful at realizing desired outcomes, which exhibit greater performance equity, and which are more successful at securing program outcomes in rural settings. Using a coarsened exact matching approach to quasi‐experimental research, we find that centralized child welfare systems exhibit greater success at achieving desired outcomes—in both rural contexts and overall. No discernible difference is found in centralized and decentralized systems' performance equity; outcome disparities exist under both structures. The study thus lends credence to centralization arguments, but at the same time cautions that centralized administration is not a structural panacea.     

Ludic Negation: Thrasher's The Gang and the Creative Foundations of Gang Sociality

Critical Criminology - In the following essay, I describe how one of the most cited but least analyzed texts in gang studies, Frederic Thrasher's The Gang (1927), has informed my approach to...     

Predicting Initiator and Near Repeat Events in Spatiotemporal Crime Patterns: An Analysis of Residential Burglary and Motor Vehicle Theft

Near repeat analysis has been increasingly used to measure the spatiotemporal clustering of crime in contemporary criminology. Despite its predictive capacity, the typically short time frame of near repeat crime patterns can negatively affect the crime prevention utility of near repeat analysis. Thus, recent research has argued for a greater understanding of the types of places that are most likely to generate near repeat crime patterns. The current study contributes to the literature through a spatiotemporal analysis of residential burglary and motor vehicle theft in Indianapolis, IN. Near Repeat analyses were followed by multinomial logistic regression models to identify covariates related to the occurrence of initiator (the first event in a near repeat chain) and near repeat (the subsequent event in a near repeat chain) events. The overall findings provide additional support for the argument that neighborhood context can influence the formation and context of spatiotemporal crime patterns.