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Why choice matters
(2018)
Measures of democracy are in high demand. Scientific and public audiences use them to describe political realities and to substantiate causal claims about those realities. This introduction to the thematic issue reviews the history of democracy measurement since the 1950s. It identifies four development phases of the field, which are characterized by three recurrent topics of debate: (1) what is democracy, (2) what is a good measure of democracy, and (3) do our measurements of democracy register real-world developments? As the answers to those questions have been changing over time, the field of democracy measurement has adapted and reached higher levels of theoretical and methodological sophistication. In effect, the challenges facing contemporary social scientists are not only limited to the challenge of constructing a sound index of democracy. Today, they also need a profound understanding of the differences between various measures of democracy and their implications for empirical applications. The introduction outlines how the contributions to this thematic issue help scholars cope with the recurrent issues of conceptualization, measurement, and application, and concludes by identifying avenues for future research.
Does complementarity between restrictions and violence stabilize authoritarian power-sharing in the face of popular rebellion? Scholars widely concur that the central political conflict in authoritarian regimes plays out between people on the inside of the regime. This chapter adds to the debate and studies coup attempts in light of two interconnected hypotheses. First, violence against campaigns destabilizes power-sharing because it exposes a weak leadership. Second, this adverse effect of violence declines as the routine level of restrictions increases, because restrictions act as a sorting mechanism for uncompromising political opposition. Both hypotheses are tested using Bayesian multilevel statistical analysis on a data set of 253 coup attempts in 198 authoritarian regimes between 1949 and 2007. This study design allows separation of repression’s time-dependent effects from its context effects, and it demonstrates the value of Bayesian methods for studying rare political phenomena such as coups d’état. The chapter’s conclusion, however, is straightforward: Once citizens form campaigns, repression can only deteriorate the situation because it opens a frontline right at the center of authoritarian rule.