Building bridges between the parole officer and the families of serious juvenile offenders: a preliminary report on a family-based parole program

Responding to a model of juvenile offender case supervision that called for a new intervention paradigm to guide the work of probation and parole officers, the present article reports on the use of a family-based parole initiative known as the Growing Up FAST program. Developed in part as a tool for use within this new intervention paradigm, the Growing Up FAST parole program targets serious youthful offenders who have been released from juvenile correctional facilities and their families. Based on elements contained within the "what works" literature and the Balanced and Restorative Justice model, this program recognizes the central role that field staff can play in rehabilitation efforts. Demographic information and formative data regarding the first set of families to participate in this program are presented, then program limitations and lessons learned as part of the initial offering of this parole initiative are discussed.     

Revealing Preferences: Empirical Estimation of a Crisis Bargaining Game with Incomplete Information

We develop an empirical estimator directly from an extensive-formcrisis bargaining game with incomplete information and discussits features and limitations. The estimator makes it possibleto draw inferences about states' payoffs from observationaldata on crisis outcomes while remaining faithful to the theorizedstrategic and informational structure. We compare this estimatorto one based on a symmetric information version of the samegame, using the quantal response equilibrium proposed in thiscontext by Signorino (1999, American Political Science Review93:279–298). We then address issues of identificationthat arise in trying to learn about actors' utilities by observingtheir play of a strategic game. In general, a number of identifyingrestrictions are needed in order to pin down the distributionof payoffs and the effects of covariates on those payoffs.