Party competition is largely about making policy promises to voters. We argue that the clarity of the expressed policy position may be equally important. If blurred messages toward different audiences and therefore ambiguous positions can attract votes from different groups, parties have incentives to present ambiguous rather than clear-cut policy platforms. We present a formal model of multi-party competition with stochastic voting where party leaders make strategic choices on both the position and the level of ambiguity of their platforms. Leaders respond to the demands of two principals, the general public and party core constituencies. We derive two hypothesis on the location and ambiguity of party platforms and provide initial tests of these hypotheses in a comparative setting in 14 Western European democracies gathering data on voter and party left-right positions from Eurobarometer surveys and electoral manifestos. Ambiguity of party profiles is estimated using a variant of Wordscores on a newly established data set of electoral manifestos. We find that platforms become more ambiguous as the preferences of the two principals diverge. Our findings imply that ambiguity can be a winning strategy for parties, especially in settings with strong partisan lines.

This note illustrates a new method for making causal inferences with ecological data. We show how to combine aggregate outcomes with individual demographics from separate data sources to make causal inferences about individual behavior. In addressing such problems, even under the selection on observables assumption often made in the treatment effects literature, it is not possible to identify causal effects of interest. However, recent results from the partial identification literature provide sharp bounds on these causal effects. We apply these bounds to data from Chilean mayoral elections that straddle a 2012 change in Chilean electoral law from compulsory to voluntary voting. Aggregate voting outcomes are combined with individual demographic information from separate data sources to determine the causal effect of the change in the law on voter turnout. The bounds analysis reveals that voluntary voting decreased expected voter turnout, and that other causal effects are overstated if the bounds analysis is ignored.

In this paper I borrow Roger Myerson’s game-theoretic model on incentives for the success of democracy, adapt the model to an experimental setting, derive testable predictions from it, and test those predictions in the laboratory. Results show that (i) corrupt leaders are replaced more often in federal democracies than in centralized ones; (ii) in the centralized case subjects converged to an equilibrium in which leaders act responsively and are reelected; (iii) honest presidents are reelected at the same rate in both institutional designs, and (iv) the president acted less responsively in the decentralized case. I also run robustness checks and test for the effect of the language used in the experiment. The data show that the results are robust with regards to experimental choices.

Does democratization increase economic output? Answers to this question are inconsistent partly due to the challenges of examining the causal forces behind political and economic phenomena that occur at the national level. We employ a new empirical approach, the synthetic control method, to study the economic effects of democratization in Sub-Saharan Africa over the period 1975–2008. This method yields case-specific causal estimates, which show that political reform associated with the “third wave” of democracy had highly heterogeneous, yet often substantively important effects in Africa. In some countries democratization adversely affected economic output while in others it exerted an analogous positive effect.

We apply recent advances in machine learning to measure Congressmember personality traits using floor speeches from 1996 to 2014. We also demonstrate the superiority of text-based measurement over survey-based measurement by showing that personality traits are correlated with survey response rates for members of Congress. Finally, we provide one empirical application showcasing the importance of personality on congressional behavior.

We examine a major source of heterogeneity across cases in the Correlates of War Militarized Interstate Dispute Dataset, 1816–2001, and demonstrate that this variation across cases biases most analyses of conflict. Disputes are coded using two logics—the familiar state-to-state militarized action represents one case while the second relies on sponsor governments to protest state targeting of private citizens. We show that the latter introduces additional measurement bias and does not match well the original conceptualization of what constituted a dispute. The protest-dependent cases are caused by different processes, and omitting them from analyses provides truer estimates of the effects of most conflict predictors. We find that previous controls for heterogeneity in the dispute data—such as using fatal militarized interstate disputes only—substantially underestimates the dangerous effects of contiguity and the pacifying effects of regime similarity. We also show that governments are seldom willing to risk militarized conflict for private citizens during these unique cases. We provide a list of the protest-dependent cases for future conflict analyses.

The increasing cost of political campaigns and its impact on the electoral process are issues of paramount importance in modern democracies. We propose a theory of electoral accountability in which candidates choose whether or not to commit to constituency service and whether or not to pay a campaign cost to advertise their platform. A higher campaign cost decreases voter welfare when partisan imbalance is low. However, when partisan imbalance is high, a higher campaign cost is associated with a higher expected level of constituency service. More costly campaigns can thus have a rebalancing effect that improves electoral accountability. We discuss the implications of our findings for campaign finance regulation and present empirical evidence consistent with our key predictions.

The signing of international treaties is usually considered insignificant for international legal cooperation. Accordingly, International Relations theorists have paid it little attention. We show in this paper how and why treaty signature matters for the ultimate decision to ratify an international treaty. We argue that when multiple well-informed actors publicly sign an international treaty, this can provide a strong signal of issue importance to domestic veto players, and in turn may persuade them to ratify the treaty. We formalize this argument in a two-level signaling game, and test it on a data set of 126 international environmental agreements. We find that treaties are more likely to be ratified when their signatories include countries with high levels of general or issue-specific knowledge.

In the aftermath of financial crises, governments can use economic policy to minimize the risk of future recurrence. Yet not all do so. To explain this divergence in responses I develop a theory of economic policy choice after financial crises. I argue that past financial crises provide information to future governments about the political costs of financial crises. This subsequently informs the need to use economic policy to insure against such crises. Focusing on the accumulation of foreign exchange reserves after currency crises, I find that when past currency crises led to political changes future governments accumulate higher levels of reserves to prevent another crisis from occurring. This effect is stronger when political change occurred in situations where governments would not expect to be held accountable, and when reserve sales were shown to be effective in preventing political change. The theory and empirical results provide an answer as to why countries experiencing a similar form of financial crisis can, nevertheless, vary in their attempts to prevent future recurrence.

Previous scholarship has provided ample evidence that non-spatial considerations can trump voters’ policy preferences in candidate selections. The literature has been less successful, however, in providing a sense of the factors that raise candidates’ non-policy appeal. Faced with the challenging task of separating policy and non-policy aspects of individual vote choices, empirical research has frequently relied on shorthand measures like candidate incumbency. This paper separates the valence component from policy-based candidate selections by explicitly supplying voters with information on the policy agreement between themselves and their district candidates. Relying on the distinction between campaign valence and character valence by Stone and Simas, it is shown that candidate valence is driven by candidate visibility in a party-dominated political system.

Political scientists interested in estimating how public opinion varies by constituency have developed several strategies for supplementing limited constituency survey data with additional sources of information. We present two evaluation studies in the previously unexamined context of British constituency-level opinion: an external validation study of party vote share in the 2010 general election and a cross-validation of opinion toward the European Union. We find that most of the gains over direct estimation come from the inclusion of constituency-level predictors, which are also the easiest source of additional information to incorporate. Individual-level predictors combined with post-stratification particularly improve estimates from unrepresentative samples, and geographic local smoothing can compensate for weak constituency-level predictors. We argue that these findings are likely to be representative of applications of these methods where the number of constituencies is large.

Challenging conventional wisdom, previous research in South Asia and the Middle East has shown that poverty and exposure to violence are negatively correlated with support for militant organizations. Existing studies, however, provide evidence consistent with two potential mechanisms underlying these relationships: (1) the direct effects of poverty and violence on attitudes toward militant groups and (2) the psychological effects of perceptions of poverty and violence on attitudes. Isolating whether the psychological mechanism is an important one is critical for building theories of mass responses to political violence. We conducted a series of original, large-scale survey experiments in Pakistan (n=16,279) in which we randomly manipulated perceptions of both poverty and violence before measuring support for militant organizations. We find evidence that psychological perceptions do in part explain why the poor seem to be less supportive of militant political groups.

A method for predicting conflict zones in civil wars based on point process models is presented in this paper. Instead of testing the validity of specific theoretical conjectures about the determinants of violence in a causal framework, this paper builds on classic literature and a wide body of recent studies to predict conflict zones based on a series of geographic conditions. Using an innovative cross-validation design, the study shows that the quantitative research program on the micro-foundations of violence in civil conflict has crafted generalizable insights permitting out-of-sample predictions of conflict zones. The study region is delimited to ten countries in Sub-Saharan Africa that experienced full-blown insurgencies in the post-Cold War era.

What explains minority language recognition in dictatorships? In this paper, we argue that minority language groups in authoritarian regimes are more likely to have their languages recognized when their interests are represented by a party in the legislature. Moreover, the level of recognition is greater. We test this argument using original group-level and time-variant measures of minority party in legislature and minority language policies for all Asian dictatorships from 1980 to 2000. The results are robust even when we shift the analysis to the country level globally and account for possible spurious correlations.

This article considers the hypothesis that the positive actions taken by members of Congress (MCs) influence citizens’ evaluations of them, their party, and Congress as an institution. We begin with a look at the available cross-sectional survey data on contact with legislators and legislator and institutional approval. Their legislative responsiveness appears to have a small spillover effect on institutions. However, when we employ a unique panel design that controls for prior levels of opinion and avoids recall bias, we find no evidence of spillover effects. Overall, we find that constituents who received a response from their own MC evaluate that representative more positively than those who did not receive a response, but legislator responsiveness does not predict evaluations of the MC’s political party or the Congress.

In this paper, we investigate the causes and consequences of institutional design choices in the liberalization of services trade and investment in preferential trade agreements (PTAs). We distinguish between a positive-list and a negative-list approach to services liberalization, and analyze PTAs signed by countries of the Asia-Pacific. We develop an information-based argument that explains why these different types induce path dependence in subsequent choices, and derive hypotheses that capture the “history” effect of choosing either institutional model. In doing so, we examine whether particular “modes of governance” diffuse through the growing network of trade agreements through the adoption of rules by third parties in their own PTAs. The empirical analysis tests these hypotheses using simulation-based dynamic network analysis methods. We find evidence of strong path dependence in the choice of liberalization approach, affecting the evolution of PTA networks in the Asia-Pacific and the diffusion of services liberalization in general. Such path dependence has long-term consequences for the institutional features of the international trade regime.

Studies have shown that a foreign policy position of a member of Congress is often distinct from a domestic one. Despite this, measures commonly used to determine the foreign policy positions of members of Congress are based on congressional votes on domestic as well as foreign policy matters. As foreign policy votes take up only a small portion of all congressional votes, these measures conflate a member’s foreign policy position with his or her domestic policy position. While there are other measures based exclusively on foreign policy votes, these are also problematic because they tend to use a small number of controversial votes and thus inflate extremism. To address these shortcomings, I present a new measure by applying a Bayesian item response theory model to all foreign policy votes. This paper demonstrates the similarities, differences, and advantages of this measure by comparing it with the existing measures in a series of analyses of foreign policy positions of political parties and individual legislators.