Regression Quantiles under Heteroscedasticity and Multicollinearity: Analysis of Travel and Tourism Competitiveness

Result code in IS VaVaI

<a href="https://www.isvavai.cz/riv?ss=detail&h=RIV%2F67985556%3A_____%2F19%3A00505226" target="_blank" >RIV/67985556:_____/19:00505226 - isvavai.cz</a>

Alternative codes found

RIV/67985807:_____/19:00501434

Result on the web

<a href="https://www.sav.sk/index.php?lang=sk&doc=journal-list&part=article_response_page&journal_article_no=16099" target="_blank" >https://www.sav.sk/index.php?lang=sk&doc=journal-list&part=article_response_page&journal_article_no=16099</a>

DOI - Digital Object Identifier

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Result language

angličtina

Original language name

Regression Quantiles under Heteroscedasticity and Multicollinearity: Analysis of Travel and Tourism Competitiveness

Original language description

In the linear regression, heteroscedasticity and multicollinearity can be characterized as intertwined problems, which often simultaneously appear in econometric models. The aim of this paper is to discuss various approaches to regression modelling for heteroscedastic multicollinear data. A real economic dataset from the World Economic Forum serves as an illustration of various individual methods and the paper provides a practical motivation for quantile regression and particularly for regularized regression quantiles. In the dataset, tourist service infrastructure across 141 countries is modeled as a response of 12 characteristics of the Travel and Tourism Competitiveness Index (TTCI). Regression quantiles and their lasso estimates turn out to be more suitable for the dataset compared to more traditional econometric tools.

Czech name

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Czech description

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Type

J_imp - Article in a specialist periodical, which is included in the Web of Science database

CEP classification

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OECD FORD branch

10103 - Statistics and probability

Project

<a href="/en/project/GA17-07384S" target="_blank" >GA17-07384S: Nonparametric (statistical) methods in modern econometrics</a><br>

Continuities

I - Institucionalni podpora na dlouhodoby koncepcni rozvoj vyzkumne organizace

Publication year

2019

Confidentiality

S - Úplné a pravdivé údaje o projektu nepodléhají ochraně podle zvláštních právních předpisů

Name of the periodical

Ekonomický časopis

ISSN

0013-3035

e-ISSN

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Volume of the periodical

67

Issue of the periodical within the volume

1

Country of publishing house

SK - SLOVAKIA

Number of pages

17

Pages from-to

69-85

UT code for WoS article

000457791100005

EID of the result in the Scopus database

2-s2.0-85068216962