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e-journal

Linear and quadratic utility loss functions in voting behavior research

Shane Singh - Nama Orang;

Numerous studies examine voting behavior based on the formal theoretical predictions of the
spatial utility model. These studies model individual utility from the election of a preferred party
or candidate as decreasing as the alternative deviates from one’s ideal point, but differ as to
whether this loss should be modeled linearly or quadratically. After advancing a theoretical argument
for linear loss, this paper uses a wealth of data across 20 countries to empirically examine
the predictive power of these two loss functions in terms of both voter choice and voter turnout.
Results indicate that the linear loss function outperforms the quadratic loss function. The findings
have important implications for theoretical scholars seeking to model voter behavior, for observational
scholars, who must assign utility values across parties to individuals under study, and for
experimental researchers, who must entice individuals with particular utility loss functions.


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Informasi Detail
Judul Seri
Journal of Theoretical Politics
No. Panggil
-
Penerbit
USA : SAGE Publications Ltd., 2014
Deskripsi Fisik
Journal of Theoretical Politics 2014, Vol 26(1) 35–58
Bahasa
English
ISBN/ISSN
DOI:10.1177/09516298
Klasifikasi
-
Tipe Isi
-
Tipe Media
-
Tipe Pembawa
-
Edisi
2014, Vol 26(1) 35–58
Subjek
Social
Info Detail Spesifik
-
Pernyataan Tanggungjawab
dody/Agus
Versi lain/terkait

Tidak tersedia versi lain

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  • Linear and quadratic utility loss functions in voting behavior research
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