How Should We Measure District-Level Public Opinion?
نویسنده
چکیده
Due to insufficient sample sizes in national surveys, strikingly little is known about public opinion at the level of Congressional and state legislative districts in the United States. As a result, there has been virtually no study of whether legislators accurately represent the will of their constituents on individual issues. This paper solves this problem by developing a multi-level regression and post-stratification (MRP) model that combines survey and census data to estimate public opinion at the district level. We show that MRP estimates are excellent predictors of public opinion and referenda results for both congressional and state senate districts. Moreover, they have less error, higher correlations, and lower variance than either disaggregated survey estimates or presidential vote shares. The MRP approach provides American and Comparative Politics scholars with a valuable new tool to measure public opinion at low levels of geographic aggregation.
منابع مشابه
Measuring Constituency Ideology in U.S. House Districts: A Top-Down Simulation Approach
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تاریخ انتشار 2011