Religious Affiliation and Individual International-Policy Preferences in the United States

Empirical examination of individual-level survey data on national identity, in general, reveals a significant relationship between religious affiliation and an individual’s international-policy preferences and that this relationship varies across Protestant denominations. Specifically, we test attitudes toward import and immigration policies, the role of international institutions, and unilateral policy actions. The empirical results indicate that individuals affiliated with conservative Protestant denominations are more likely to support positions on international issues that can be regarded as consistent with the anti-globalist right. We also find evidence of a reinforcing regional effect among conservatives in the south, and differences in the preferences of Baptist and non-Baptist African Americans

Terrapene ornata

Number of Pages: 4Integrative BiologyGeological Science

Optimal testing of equivalence hypotheses

In this paper we consider the construction of optimal tests of equivalence hypotheses. Specifically, assume X_1,..., X_n are i.i.d. with distribution P_{\theta}, with \theta \in R^k. Let g(\theta) be some real-valued parameter of interest. The null hypothesis asserts g(\theta)\notin (a,b) versus the alternative g(\theta)\in (a,b). For example, such hypotheses occur in bioequivalence studies where one may wish to show two drugs, a brand name and a proposed generic version, have the same therapeutic effect. Little optimal theory is available for such testing problems, and it is the purpose of this paper to provide an asymptotic optimality theory. Thus, we provide asymptotic upper bounds for what is achievable, as well as asymptotically uniformly most powerful test constructions that attain the bounds. The asymptotic theory is based on Le Cam's notion of asymptotically normal experiments. In order to approximate a general problem by a limiting normal problem, a UMP equivalence test is obtained for testing the mean of a multivariate normal mean.Comment: Published at http://dx.doi.org/10.1214/009053605000000048 in the Annals of Statistics (http://www.imstat.org/aos/) by the Institute of Mathematical Statistics (http://www.imstat.org