Název: Application Of Implicitly Weighted Regression Quantiles: Analysis Of The 2018 Czech Presidential Election
Autoři: Kalina, Jan ; Vidnerová, Petra
Typ dokumentu: Příspěvky z konference
Konference/Akce: RELIK 2021: Reproduction of Human Capital - mutual links and connections, Praha (CZ), 20211104
Rok: 2021
Jazyk: eng
Abstrakt: Regression quantiles can be characterized as popular tools for a complex modeling of a continuous response variable conditioning on one or more given independent variables. Because they are however vulnerable to leverage points in the regression model, an alternative approach denoted as implicitly weighted regression quantiles have been proposed. The aim of current work is to apply them to the results of the second round of the 2018 presidential election in the Czech Republic. The election results are modeled as a response of 4 demographic or economic predictors over the 77 Czech counties. The analysis represents the first application of the implicitly weighted regression quantiles to data with more than one regressor. The results reveal the implicitly weighted regression quantiles to be indeed more robust with respect to leverage points compared to standard regression quantiles. If however the model does not contain leverage points, both versions of the regression quantiles yield very similar results. Thus, the election dataset serves here as an illustration of the usefulness of the implicitly weighted regression quantiles.
Klíčová slova: elections results; linear regression; outliers; quantile regression; robustness
Číslo projektu: GA21-05325S (CEP)
Poskytovatel projektu: GA ČR
Zdrojový dokument: RELIK 2021. Conference Proceedings, ISBN 978-80-245-2429-0

Instituce: Ústav informatiky AV ČR (web)
Informace o dostupnosti dokumentu: Dokument je dostupný na externích webových stránkách.
Externí umístění souboru: https://relik.vse.cz/2021/download/pdf/381-Vidnerova-Petra-paper.pdf
Původní záznam: http://hdl.handle.net/11104/0328139

Trvalý odkaz NUŠL: http://www.nusl.cz/ntk/nusl-508469


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