This 2003 book represents an exciting intellectual meeting of researchers from diverse subfields to analyze how and why uncertainty affects American politics. It seeks to reconnect research traditions that have seldom spoken to one another. Though used by formal theorists, empiricists, and historians in a parallel fashion for a number of years, the notion of uncertainty has often been introduced only to explain away anomalies, provide backing for a larger argument, or justify a particular methodology. Uncertainty has rarely been considered in its own right or as a concept that might connect researchers from different subfields. The authors demonstrate some of the many substantive effects that uncertainty has on the bureaucracy, voters, and elected officials. They also reveal the origins and consequences of uncertainty to remind researchers across the discipline how central the idea should be to any serious study of US politics.
Despite heightened partisanship in the U.S. Congress and constituencies split along ideological lines, congressional representatives frequently buck their parties and seldom do precisely what voters a
Policymaking in the realm of elections is too often grounded in anecdotes and opinions, rather than in good data and scientific research. To remedy this, The Measure of American Elections brings together a dozen leading scholars to examine the performance of elections across the United States, using a data-driven perspective. This book represents a transformation in debates about election reform, away from partisan and ideological posturing, toward using scientific analysis to evaluate the conduct of contemporary elections. The authors harness the power of newly available data to document all aspects of election administration, ranging from the registration of voters to the counting of ballots. They demonstrate what can be learned from giving serious attention to data, measurement, and objective analysis of American elections.
Policymaking in the realm of elections is too often grounded in anecdotes and opinions, rather than in good data and scientific research. To remedy this, The Measure of American Elections brings together a dozen leading scholars to examine the performance of elections across the United States, using a data-driven perspective. This book represents a transformation in debates about election reform, away from partisan and ideological posturing, toward using scientific analysis to evaluate the conduct of contemporary elections. The authors harness the power of newly available data to document all aspects of election administration, ranging from the registration of voters to the counting of ballots. They demonstrate what can be learned from giving serious attention to data, measurement, and objective analysis of American elections.
This 2003 book represents an exciting intellectual meeting of researchers from diverse subfields to analyze how and why uncertainty affects American politics. It seeks to reconnect research traditions that have seldom spoken to one another. Though used by formal theorists, empiricists, and historians in a parallel fashion for a number of years, the notion of uncertainty has often been introduced only to explain away anomalies, provide backing for a larger argument, or justify a particular methodology. Uncertainty has rarely been considered in its own right or as a concept that might connect researchers from different subfields. The authors demonstrate some of the many substantive effects that uncertainty has on the bureaucracy, voters, and elected officials. They also reveal the origins and consequences of uncertainty to remind researchers across the discipline how central the idea should be to any serious study of US politics.
Why do some voters split their ballots, selecting a Republican for one office and a Democrat for another? Why do voters often choose one party to control the White House while the other controls the C
