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Spatial Voting (spatial + voting)
Selected AbstractsRATIONAL PARTISAN THEORY, UNCERTAINTY, AND SPATIAL VOTING: EVIDENCE FOR THE BANK OF ENGLAND'S MPCECONOMICS & POLITICS, Issue 2 2010ARNAB BHATTACHARJEE The transparency and openness of the monetary policy-making process at the Bank of England has provided very detailed information on both the decisions of individual members of the Monetary Policy Committee (MPC) and the information on which they are based. In this paper, we consider this decision-making process in the context of a model in which inflation forecast targeting is used, but there is heterogeneity among the members of the committee. We find that rational partisan theory can explain spatial voting behavior under forecast uncertainty about the output gap. Internally generated forecasts of output and market-generated expectations of medium-term inflation provide the best description of discrete changes in interest rates, in combination with uncertainty in the macroeconomic environment. There is also a role for developments in asset, housing and labor markets. Further, spatial voting patterns clearly differentiate between internally and externally apzpointed members of the MPC. The results have important implications for committee design and the conduct of monetary policy. [source] Analyzing Roll Calls with Perfect Spatial Voting: France 1946,1958AMERICAN JOURNAL OF POLITICAL SCIENCE, Issue 3 2004Howard Rosenthal A recent methodological advance in legislative roll-call analysis is especially relevant to the study of legislative behavior outside the setting of the United States Congress. We argue that Poole's (2000) optimal classification method for roll-call analysis is preferable to parametric methods for studying many legislatures. This is because the nature of party discipline, near-perfect spatial voting, and parliamentary institutions that provides incentives for strategic behavior lead to severe violations of the error assumptions underlying parametric methods. The robustness of the nonparametric method to the stochastic nature of the data makes it an ideal candidate for studying strategic behavior in legislatures. We illustrate these points with an analysis of data from the French Fourth Republic (1946,1958). [source] Systemic polarisation and spatial votingEUROPEAN JOURNAL OF POLITICAL RESEARCH, Issue 6 2010SERGI PARDOS-PRADO The controversy between proximity and directional models of issue voting has not been settled. Instead of appointing an ultimate winner, this article explores the conditioning impact of the level of systemic polarisation and provides evidence that proximity is a more relevant determinant of voter behaviour in less polarised systems, whereas there is a centrifugal and directional dynamic in more polarised contexts. By so doing, the article shows how a largely forgotten notion , namely Sartori's idea of the spatial elasticity of the political spectrum , leads to different spatial viewpoints. In distinguishing between party (supply side) and voter (demand side) polarisation, this framework provides a comprehensive picture about the conditions that turn a centripetal electoral dynamic into a purely centrifugal one. [source] Analyzing Roll Calls with Perfect Spatial Voting: France 1946,1958AMERICAN JOURNAL OF POLITICAL SCIENCE, Issue 3 2004Howard Rosenthal A recent methodological advance in legislative roll-call analysis is especially relevant to the study of legislative behavior outside the setting of the United States Congress. We argue that Poole's (2000) optimal classification method for roll-call analysis is preferable to parametric methods for studying many legislatures. This is because the nature of party discipline, near-perfect spatial voting, and parliamentary institutions that provides incentives for strategic behavior lead to severe violations of the error assumptions underlying parametric methods. The robustness of the nonparametric method to the stochastic nature of the data makes it an ideal candidate for studying strategic behavior in legislatures. We illustrate these points with an analysis of data from the French Fourth Republic (1946,1958). [source] |