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Time to change the time-for-change m...
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Georgetown University.
Time to change the time-for-change model? : = Modifying a U.S. presidential vote share prediction model with a measure of grassroots involvement.
紀錄類型:
書目-語言資料,手稿 : Monograph/item
正題名/作者:
Time to change the time-for-change model? :/
其他題名:
Modifying a U.S. presidential vote share prediction model with a measure of grassroots involvement.
作者:
Martinez-Schiferl, Michael Andrew.
面頁冊數:
1 online resource (55 pages)
附註:
Source: Masters Abstracts International, Volume: 47-05, page: 2623.
Contained By:
Masters Abstracts International47-05.
標題:
Political science. -
電子資源:
click for full text (PQDT)
ISBN:
9781109071535
Time to change the time-for-change model? : = Modifying a U.S. presidential vote share prediction model with a measure of grassroots involvement.
Martinez-Schiferl, Michael Andrew.
Time to change the time-for-change model? :
Modifying a U.S. presidential vote share prediction model with a measure of grassroots involvement. - 1 online resource (55 pages)
Source: Masters Abstracts International, Volume: 47-05, page: 2623.
Thesis (M.P.P.)--Georgetown University, 2009.
Includes bibliographical references
Over the past two decades political scientists have produced models that take a scientific approach toward predicting and evaluating election effects and outcomes. This paper seeks to improve upon one of the most well-known U.S. presidential election forecasting models, Alan Abramowitz's time-for-change model, by including a new measure of campaign performance. This paper tests the hypothesis of whether including a measure of small donor contributions, as a proxy for grassroots involvement as a result of campaign activity, is important to forecasting vote share outcome. This study finds that including the small donor contributions ratio in the time-for-change model does not change the signs of the other covariates. More importantly, the small donor contributions ratio is highly statistically significant, suggesting that the small donor contributions ratio may be a good predictor for presidential election vote share prediction models. Including the small donor contributions ratio improved the model's goodness-of-fit and standard error of the estimate, but not necessarily the out-of-sample error. The results suggest that if the two-major-party candidates in a race have similar proportions of grassroots involvement, the incumbent candidate enjoys an estimated 2.2% advantage in the two-party vote share. If this ratio favors the incumbent 2:1, then the advantage is 4.4%; if the ratio instead favors the challenger 2:1, then the incumbent's advantage is reduced to 1.1%.
Electronic reproduction.
Ann Arbor, Mich. :
ProQuest,
2018
Mode of access: World Wide Web
ISBN: 9781109071535Subjects--Topical Terms:
558774
Political science.
Index Terms--Genre/Form:
554714
Electronic books.
Time to change the time-for-change model? : = Modifying a U.S. presidential vote share prediction model with a measure of grassroots involvement.
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