Sophisticated and myopic? Citizen preferences for Electoral College reform

B-Tier
Journal: Public Choice
Year: 2014
Volume: 158
Issue: 3
Pages: 541-558

Authors (3)

John Aldrich (not in RePEc) Jason Reifler (not in RePEc) Michael Munger (Duke University)

Score contribution per author:

0.670 = (α=2.01 / 3 authors) × 1.0x B-tier

α: calibrated so average coauthorship-adjusted count equals average raw count

Abstract

Different institutions can produce more (or less) preferred outcomes, in terms of citizens’ preferences. Consequently, citizen preferences over institutions may “inherit”—to use William Riker’s term—the features of preferences over outcomes. But the level of information and understanding required for this effect to be observable seems quite high. In this paper, we investigate whether Riker’s intuition about citizens acting on institutional preferences is borne out by an original empirical dataset collected for this purpose. These data, a survey commissioned specifically for this project, were collected as part of a larger nationally representative sample conducted right before the 2004 election. The results show that support for a reform to split a state’s Electoral College votes proportionally is explained by (1) which candidate one supports, (2) which candidate one thinks is likely to win the election under the existing system of apportionment, (3) preferences for abolishing the Electoral College in favor of the popular vote winner, and (4) statistical interactions between these variables. In baldly political terms, Kerry voters tend to support splitting their state’s Electoral College votes if they felt George W. Bush was likely to win in that state. But Kerry voters who expect Kerry to win their state favor winner-take-all Electoral College rules for their state. In both cases, mutatis mutandis, the reverse is true for Bush voters. Copyright Springer Science+Business Media New York 2014

Technical Details

RePEc Handle
repec:kap:pubcho:v:158:y:2014:i:3:p:541-558
Journal Field
Public
Author Count
3
Added to Database
2026-01-26