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Preferences are crucial to the analysis of many key questions regarding international institutions. This article analyzes the key predictors of states' preferences over universal treaties. It does so by using a spatial-modeling approach that conceptualizes a treaty commitment preference space that includes agreements across multiple policy areas. I analyze the treaty commitment preference space in order to better understand the key dimensions of these preferences. I find that economics, and particularly trade, is the clearest and most consistent predictor of treaty commitment preferences, including with respect to many treaties in noneconomic policy areas.

How can human rights abuses be prevented or reduced? Using a simple game-theoretic model, we demonstrate that repression can become a coordination game when the potential for abuses is greatest: when dissent against a regime has grown sufficiently powerful. In such scenarios, repression depends on how the leader's agents coordinate on implementing a repression order. If and to the extent agents believe other agents will not comply with an order to repress, leaders can expect agents to disobey orders and will be less likely to order repression. This logic of expectations constitutes a third mechanism for constraining repression, in addition to sanctioning (i.e., the logic of consequences) and normative mechanisms (i.e., the logic of appropriateness). We formally explore how the logic of expectations can constrain the implementation of repression and also show that the logic of expectations has the greatest potential to constrain repression in middle regimes or "anocracies." In turn, this has broader implications for the strategies human rights advocates use in such regimes, how leaders structure their security forces, and for the study of why legal rules might be especially effective in such regimes.

Existing work has shown that membership in intergovernmental organizations (IGOs) can, among other outcomes, reduce conflict, promote democratization, and shape crisis bargaining. The traditional approach to studying how IGOs can reduce conflict has focused on the effects of dyads' direct ties to IGOs. In doing so, these analyses use fairly simple counts of the number of IGOs to which the states in each dyad share membership. We argue that this approach is too narrow; we instead consider the effects of higher-order groupings within the IGO network, which we call IGO clusters. Within these IGO clusters, states share relatively many IGO connections with each other, both directly and through indirect links through third parties, fourth parties, and so on. The effects of indirect IGO ties are especially important within such structures. We use a modularity maximization approach to detect clusters within the IGO network. We find robust empirical support for our hypothesis that the pacifying effect of IGO membership stems from the extent to which pairs of states are more deeply embedded within the wider IGO network. Indeed, we find that once we account for states' shared membership in clusters of IGOs, the simpler dyadic measure of shared IGO membership no longer shows evidence of a conflict-inhibiting effect.

Why do states form non-aggression pacts? Non-aggression pacts are different from typical alliances because the latter tend to be focused on relationships between members of the alliance and other states, such as by deterring external threats or mediating the resolution of conflicts between an alliance member and a third-party challenger. We offer two contributions that build on existing work. First, we provide a theory that explains why leaders use non-aggression pacts as information mechanisms. Leaders of states that have recently emerged from a rivalry seek to overcome an important information asymmetry: they know the probability of future conflict among the former rivals has decreased, but other actors may fear a resumption of hostilities. Such leaders use non-aggression pacts to signal that the rivalry has truly ended and that future relations are likely to remain peaceful. Second, our analysis recognizes the often multilateral nature of the non-aggression pact formation process. We use the 'k'-adic statistical procedure to model non-aggression pact formation as a multilateral process. To operationalize recent rivalry cessation within a group, we use a network analytic density measure. Consistent with our theory, we find that groups of states with greater densities of recently ended rivalries are significantly more likely to form non-aggression pacts. These results hold across a series of model specifications.