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This article examines the relationship between regime type and decision makers' tendency to make suboptimal choices in international crises. To test hypotheses on the optimality of democratic foreign policy, the author uses a novel statistical measure of suboptimality in foreign policy behavior. This estimator builds on Signorino's statistical strategic models to allow for actor-level variation in deviations from optimal behavior in a strategic setting. An analysis of the international disputes from 1919 to 1999 shows that democratic leaders have a greater tendency to choose policies not optimal for their citizens than do nondemocratic leaders.

Actor-level variations in the amounts of uncertainty have been widely ignored in the growing literature on statistical models of strategic interaction in international relations. In this article, I provide a tool for testing theories about the level of uncertainty in strategic interactions. I show that ignoring potential variations in levels of uncertainty across different cases can be a source of bias for empirical analyses. I propose a method to incorporate this form of heteroskedasticity into existing estimators and show that this method can improve inferences. With a series of Monte Carlo experiments, I evaluate the magnitude and the severity of the bias and inconsistency in estimators that ignore heteroskedasticity. More importantly, the tools developed in this article have many interesting substantive application areas. Examples considered include measuring speculators' suboptimal behavior tendencies in international currency crises, and capturing varying levels of signaling and Bayesian updating behavior in the recent strategic models of signaling.

"The Theoretical and Empirical Approaches to Uncertainty and Conflict in International Relations" published on by Oxford University Press.

Does a shock to the balance of power cause the advantaged actor to exploit its newfound advantage by initiating conflict? The modeling literature on commitment problems as a source of war makes a central assumption that states know and anticipate power shifts. We relax this assumption such that states must estimate future power shifts by looking at past and present capabilities—both their own and those of their adversaries. We incorporate these estimates, and their attendant uncertainty, into a model of war. We find that commitment problems remain a source of war, but that the existing models overpredict war by ignoring this dynamic. States continuously updating their estimates and accounting for uncertainty promotes peace. It follows that the apparent window of opportunity—in which the power balance becomes suddenly favorable to one side—poses less of a threat to peace than previous theories suggest. This result has applications to nuclear proliferation dynamics and conflict in general. We find empirical support for the model in tests analyzing power shifts and interstate wars.

Regime type is an important variable in international relations. Numerous scholars have theorized its effects on actors' crisis behavior and outcomes. Despite regime type's importance, the literature has not focused on the role its uncertainty might play in interstate politics. This is in stark contrast to the scholarly attention given to uncertainty about other similarly important variables like actor capabilities, intentions, or fighting costs. In this paper, we aim to address this gap in the literature by providing a theory of regime uncertainty's effects on conflict and developing a novel measure of uncertainty about regime type in interstate relations to test our hypotheses. We find that regime uncertainty breeds caution rather than conflict: higher uncertainty about the opponent's regime type makes conflict initiation and escalation less likely in disputes, and dyads with more uncertainty are less likely to experience conflict onset.

This study examines the relationship between disaster risks and interstate conflict. We argue that in disaster-prone areas actors' rational expectations about the likelihood and magnitude of potential future disasters can make conflict more likely. The relationship emerges when future disasters are viewed as shocks that are expected to shift the relative power balance among states. If large enough, such expected shifts can generate commitment problems and cause conflict even before any disasters take place. Our approach represents a shift of focus from previous research, which investigates the effect of actual disasters and ignores rational expectations regarding future events. We use a simple game-theoretic model to highlight the commitment problem caused by disaster risks. We then discuss and apply an empirical strategy enabling us to disentangle effects of disaster proneness from effects of actual disaster events. Our results indicate that greater disaster risks are indeed associated with a higher likelihood of interstate conflict.

We develop a theory of when a deal can be made to stop a state pursuing nuclear weapons, thereby avoiding proliferation or conflict to prevent it. We show a deal can only be made if costly conflict would occur in its absence. Deals are most likely to be made early, when the state's nuclear program is rudimentary, or late, when it is believed to be nearing success, but not in between. A late deal is credibly enforced by more severe punishment than an early one—immediate conflict rather than merely sanctions—and yet must be more generous to the state. If the state anticipates that a late deal would be offered, it will refuse an early deal in favor of continuing its program to secure the more generous late deal. We test and find support for these predictions against the historical record of deal-making over states' nuclear programs.

AbstractWe develop a formal model of bargaining between two states where one can invest in a program to develop nuclear weapons and the other imperfectly observes its efforts and progress over time. In the absence of a nonproliferation deal, the observing state watches the former's program, waiting until proliferation seems imminent to attack. Chance elements—when the program will make progress and when the other state will discover this—determine outcomes. Surprise proliferation, crises over the suspected progress of a nuclear program, and possibly "mistaken" preventive wars arise endogenously from these chance elements. Consistent with the model's predictions and contrary to previous studies, the empirical evidence shows that the progress of a nuclear program and intelligence estimates of it explain the character and outcomes of most interactions between a proliferant and a potential preventive attacker. Counterintuitively, policies intended to reduce proliferation by delaying nuclear programs or improving monitoring capabilities may instead encourage it.

In canonical accounts of war, conflict outcomes are inherently uncertain. Contesting literatures posit that this uncertainty, arising from stochastic elements of the war-fighting process, may induce conflict due to greater risks of miscalculation or foster peace by breeding caution. We theorize that states, on average, exhibit prudence when confronting greater uncertainty. Despite its conceptual importance, extant proxies for uncertainty at various levels of analysis—such as polarity, balance of power, system concentration, and dyadic relative capabilities—are imprecise and theoretically inappropriate indicators. To overcome this shortcoming, we theorize the conditions that elevate the magnitude of uncertainty over conflict outcomes and introduce a novel measure that captures this uncertainty within any k-state system. Through extensive empirical analysis, we confirm uncertainty's pacifying effect and show how this effect operates at different levels of analysis.