“Earn Your Penny Elsewhere”: Banishment,Migrant Laborers,and Sociospatial Exclusion in Sixteenth‐Century Ulm*

Abstract The town council in Ulm, Germany banished over a thousand offenders in the course of the sixteenth century. Examination of the banishment verdicts issued by these magistrates reveals how they used expulsion to regulate both the physical borders of their territory and inclusion in the urban commune. In banishment cases involving resident aliens, the local authorities sought to expel resident aliens who seemed to threaten the community's property or its purity, using purgation to police the margin between legal and physical inclusion and exclusion. Finally, the local magistrates used the public expulsion rituals that accompanied banishment to display their role in regulating these boundaries before their subjects.     

Evaluating Statistical Hypotheses Using Weakly‐Identifiable Estimating Functions

Abstract. Many statistical models arising in applications contain non‐ and weakly‐identified parameters. Due to identifiability concerns, tests concerning the parameters of interest may not be able to use conventional theories and it may not be clear how to assess statistical significance. This paper extends the literature by developing a testing procedure that can be used to evaluate hypotheses under non‐ and weakly‐identifiable semiparametric models. The test statistic is constructed from a general estimating function of a finite dimensional parameter model representing the population characteristics of interest, but other characteristics which may be described by infinite dimensional parameters, and viewed as nuisance, are left completely unspecified. We derive the limiting distribution of this statistic and propose theoretically justified resampling approaches to approximate its asymptotic distribution. The methodology's practical utility is illustrated in simulations and an analysis of quality‐of‐life outcomes from a longitudinal study on breast cancer.