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Автор Enelow, James M.
Автор Mendell, Nancy R.
Автор Ramesh, Subha
Дата выпуска 1988
dc.description Regression analysis is widely used to estimate the effects of relative policy proximity on relative candidate evaluations. Using the 1984 NES data, we show that the functional form for specifying distance between voter and candidate can lead to different results concerning which policy variables significantly affect relative candidate evaluations. Simple statistics do not allow us to choose the distance specification most consistent with least-squares assumptions. A series of diagnostic tests are offered to make this determination.
Формат application.pdf
Издатель Cambridge University Press
Копирайт Copyright © Southern Political Science Association 1988
Название A Comparison of Two Distance Metrics Through Regression Diagnostics of a Model of Relative Candidate Evaluation
Тип research-article
DOI 10.2307/2131392
Electronic ISSN 1468-2508
Print ISSN 0022-3816
Журнал The Journal of Politics
Том 50
Первая страница 1057
Последняя страница 1071
Аффилиация Enelow James M.; State University of New York at Stony Brook
Аффилиация Mendell Nancy R.; State University of New York at Stony Brook
Аффилиация Ramesh Subha; State University of New York at Stony Brook
Выпуск 4

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