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Edited by Jonathan KatzMultilevel regression and poststratification (MRP) is a method to estimate public opinion across geographic units from individual-level survey data. If it works with samples the size of typical national surveys, then MRP offers the possibility of analyzing many political phenomena previously believed to be outside the bounds of systematic empirical inquiry. Initial investigations of its performance with conventional national samples produce generally optimistic assessments. This article examines a larger number of cases and a greater range of opinions than in previous studies and finds substantial variation in MRP performance. Through empirical and Monte Carlo analyses, we develop an explanation for this variation. The findings suggest that the conditions necessary for MRP to perform well will not always be met. Thus, we draw a less optimistic conclusion than previous studies do regarding the use of MRP with samples of the size found in typical national surveys.

In a democracy, voting is the most fundamental act of political participation and therefore holds a central location in the study of political behavior. One significant research tradition focuses on the relationship between registration and turnout and raises important and related questions. How do registration laws influence turnout levels? What types of people are most affected by them? What are the partisan implications of registration requirements? Spanning the late nineteenth through early twenty-first centuries, this essay places these questions in the appropriate theoretical context and then answers them.

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