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This paper by Dan Barclay explores the political realignment in the U.S. from 1952 to 2004 using data to quantify the model and identify patterns. Despite past failures in realignment theories, the study aims to provide a fresh perspective on the topic. The analysis is based on a two-dimensional issues axis, incorporating key election cycles and political ideologies shifts over time. By delving into historical electoral data, public opinion trends, and party positions, the study seeks to offer insights into how and why partisan realignment occurs, debunking or supporting existing theories in the realm of political science.
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Pretentious Pre-Colon Phrase: Mapping U.S. Partisan Realignment, 1952-2004 Dan Barclay November 2005 Dan Barclay
Abstract • So there’s this paper that models political realignment on a two-dimensional issues axis. • Problem is, it doesn’t have any data to back it up. • I’ll be bringing in data to quantify the model. Dan Barclay
An Optical Depiction Dan Barclay
Nifty Graph Dan Barclay
Nifty Graph Dan Barclay
Literature Review • Periodicity • Adams (1918): 12-year cycles from 1776-1812 • Schlesinger, Sr. (1949): Projected cycles from 1947-1962, 1962-1978, 1978-1993 • “Critical elections” • Certain elections such as 1896 and 1932 are “flash points” that see abrupt changes in ideologies • Discontinuous model Dan Barclay
Literature Review II: First Blood • Attempted link to congressional politics • Brady (1982): Congressional policy changes can be explained through realignment theory. • “Our field isn’t credible, so let’s try to support it with one that is!” • Epic failure Dan Barclay
Literature Review III: Reign of Chaos • The public opinion challenge • Stimson (1998): When you actually look at the data, realignment theory doesn’t work at all. You people are dumb. • Mayhew (2002): Yeah, what he said. • Huge pile-on; realignment lies in tatters Dan Barclay
Literature Review IV: A New Hope • Maybe realignment theory will work if we use models that are continuous, not discontinuous. • Smith (2002): If we assume the two parties have gradually traded places in the past few decades, public opinion data doesn’t tear us a new one. • Miller and Schofield (2003): The paper I’m plagiarizing building upon Dan Barclay
Miller and Schofield (2003) • Theory • Regressions show that the two parties have gradually changed places, which can’t be accounted for by white noise and must therefore be due to realignment factors • Mechanism • Each party continually tries to outflank the other to appeal to groups of swing voters • Two dimensions, economic and social Dan Barclay
That Nifty Graph Again Dan Barclay
1896 Dan Barclay
1932-60 Dan Barclay
1960-64 Dan Barclay
1964-68 Dan Barclay
2005 Dan Barclay
My Project • Quantify Schofield and Miller • Roll call data = relative density of each quadrant • Elections data = area occupied by each party • Public opinion data = frontier between the parties • Party platform data = point position of each party • I code national platforms on a 1 / 0 / -1 basis • Regress the results • Make projections Dan Barclay
Validity Problems • None. Dan Barclay
Methodology • Roll call: Use the data I already have • Elections: Acquire from NES • Public opinion: Acquire from NES • Party platforms: Code the data I already have • Regression: Use STATA Dan Barclay
Validity Problems • Sampling error, from public opinion data • Personal bias, from coding party platforms • 1952-2004 time period dictated by data availability Dan Barclay
Methodology • Roll call: Use the data I already have • Elections: Acquire from NES • Public opinion: Acquire from NES • Party platforms: Code the data I already have • Regression: Use STATA • Arbitrary designation of social issues as the independent variable and economic issues as the dependent variable Dan Barclay