Application Of Implicitly Weighted Regression Quantiles: Analysis Of The 2018 Czech Presidential Election
The result's identifiers
Result code in IS VaVaI
<a href="https://www.isvavai.cz/riv?ss=detail&h=RIV%2F67985807%3A_____%2F21%3A00553132" target="_blank" >RIV/67985807:_____/21:00553132 - isvavai.cz</a>
Alternative codes found
RIV/67985556:_____/21:00555814
Result on the web
<a href="https://relik.vse.cz/2021/download/pdf/381-Vidnerova-Petra-paper.pdf" target="_blank" >https://relik.vse.cz/2021/download/pdf/381-Vidnerova-Petra-paper.pdf</a>
DOI - Digital Object Identifier
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Alternative languages
Result language
angličtina
Original language name
Application Of Implicitly Weighted Regression Quantiles: Analysis Of The 2018 Czech Presidential Election
Original language description
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.
Czech name
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Czech description
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Classification
Type
D - Article in proceedings
CEP classification
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OECD FORD branch
50601 - Political science
Result continuities
Project
<a href="/en/project/GA21-05325S" target="_blank" >GA21-05325S: Modern nonparametric methods in econometrics</a><br>
Continuities
I - Institucionalni podpora na dlouhodoby koncepcni rozvoj vyzkumne organizace
Others
Publication year
2021
Confidentiality
S - Úplné a pravdivé údaje o projektu nepodléhají ochraně podle zvláštních právních předpisů
Data specific for result type
Article name in the collection
RELIK 2021. Conference Proceedings
ISBN
978-80-245-2429-0
ISSN
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e-ISSN
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Number of pages
10
Pages from-to
332-341
Publisher name
Prague University of Economics and Business
Place of publication
Prague
Event location
Praha
Event date
Nov 4, 2021
Type of event by nationality
EUR - Evropská akce
UT code for WoS article
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