A comprehensive understanding of the relational processes that constitute policy networks requires both an analysis of exogenous (i.e. covariates) determinants of the link structures in the network and a study of how the relationships that form the network depend upon each other, the endogenous...

In the paper, we use an experimental design to assess the effect that partisan framing of a policy problem has on individuals’ preferences for a policy solution. We combine key elements from work on prospect theory, framing effects, and attitude formation to develop a theory of policy...

The latent space model (LSM) for network data is a generative probabilistic model that combines a generalized linear model with a latent spatial embedding of the network. It has been used to decrease error in the estimation of and inference regarding the effects of observed covariates. In...

Should a strategic Justice assemble a broader coalition for the majority opinion than is necessary, even if that means accommodating changes that move the opinion away from the author's ideal holding? If the author's objective is to durably move the law to his or her ideal holding, the...

Political scientists often consider multiple empirical models of the same process. When these models are parametric and non-nested, the null hypothesis that two models fit the data equally well is commonly tested using methods introduced by Vuong (1989) and Clarke (2003, 2007). The objective of...

We develop theory that accounts for complex dependence in foreign direct investment (FDI) relationships. Conventional theories of FDI focus on firm-, country-, or dyad-level characteristics to account for cross-border capital movements. Yet, today's globalization is characterized by the...

Sunshine laws establishing government transparency are ubiquitous in the United States; however, the intended degree of openness is often unclear or unrealized. Although researchers have identified characteristics of government organizations or officials that affect the fulfillment of public...

In this paper, we introduce a novel battery of classifiers to resolve inconsistencies among entity names within large corporate datasets. Using data on the corporate sector, we describe our relational approach to entity resolution, and the problems in existing approaches it serves to address. We...

Most social processes involve complex interaction among units through some form of social, communication, or collaboration network. The stable unit treatment value assumption (SUTVA) — the assumption that a unit’s outcome is unaffected by other units’ treatment statuses — is required in...