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The 2020 Election In The United States: Beta Regression Versus Regression Quantiles
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SYSNO ASEP 0553129 Druh ASEP C - Konferenční příspěvek (mezinárodní konf.) Zařazení RIV D - Článek ve sborníku Název The 2020 Election In The United States: Beta Regression Versus Regression Quantiles Tvůrce(i) Kalina, Jan (UIVT-O) RID, SAI, ORCID Zdroj.dok. RELIK 2021. Conference Proceedings. - Prague : Prague University of Economics and Business, 2021 / Langhamrová J. ; Vrabcová J. - ISBN 978-80-245-2429-0 Rozsah stran s. 321-331 Poč.str. 11 s. Forma vydání Tištěná - P Akce RELIK 2021: Reproduction of Human Capital - mutual links and connections Datum konání 04.11.2021 - 05.11.2021 Místo konání Praha Země CZ - Česká republika Typ akce EUR Jazyk dok. eng - angličtina Země vyd. CZ - Česká republika Klíč. slova elections results ; electoral demography ; quantile regression ; heteroscedasticity ; outliers Vědní obor RIV AD - Politologie a politické vědy Obor OECD Political science Institucionální podpora UIVT-O - RVO:67985807 Anotace The results of the presidential election in the United States in 2020 desire a detailed statistical analysis by advanced statistical tools, as they were much different from the majority of available prognoses as well as from the presented opinion polls. We perform regression modeling for explaining the election results by means of three demographic predictors for individual 50 states: weekly attendance at religious services, percentage of Afroamerican population, and population density. We compare the performance of beta regression with linear regression, while beta regression performs only slightly better in terms of predicting the response. Because the United States population is very heterogeneous and the regression models are heteroscedastic, we focus on regression quantiles in the linear regression model. Particularly, we develop an original quintile regression map, such graphical visualization allows to perform an interesting interpretation of the effect of the demographic predictors on the election outcome on the level of individual states. Pracoviště Ústav informatiky Kontakt Tereza Šírová, sirova@cs.cas.cz, Tel.: 266 053 800 Rok sběru 2022 Elektronická adresa https://relik.vse.cz/2021/download/pdf/380-Kalina-Jan-paper.pdf
Počet záznamů: 1