An Application of Directional Quantiles to Economic Data with a Multivariate Response

Result code in IS VaVaI

<a href="https://www.isvavai.cz/riv?ss=detail&h=RIV%2F67985807%3A_____%2F20%3A00534849" target="_blank" >RIV/67985807:_____/20:00534849 - isvavai.cz</a>

Result on the web

<a href="http://hdl.handle.net/11104/0313010" target="_blank" >http://hdl.handle.net/11104/0313010</a>

DOI - Digital Object Identifier

<a href="http://dx.doi.org/10.5937/sjm15-22671" target="_blank" >10.5937/sjm15-22671</a>

Result language

angličtina

Original language name

An Application of Directional Quantiles to Economic Data with a Multivariate Response

Original language description

Quantile regression represents a popular and useful methodology for modeling quantiles of a response variable based on one or more independent variables. Directional quantiles represent an available extension to the linear regression model with a multivariate response. However, we are not aware of any application of directional quantiles to real data in the literature. An illustration of directional quantiles to an economic dataset is presented in this paper, particularly a modeling of a two-dimensional response in the classical Engel's dataset on household consumption from the 19th century. The results reveal the directional quantiles to yield meaningful results. They order individual observations according to their depth, i.e. from the most central to the most outlying. We compare their result with those of a (more standard) outlier detection. On the whole, we perceive directional quantiles as a potentially useful tool for the analysis of data, if accompanied by a thorough analysis by standard 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

—

Continuities

I - Institucionalni podpora na dlouhodoby koncepcni rozvoj vyzkumne organizace

Publication year

2020

Confidentiality

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

Name of the periodical

Serbian Journal of Management

ISSN

1452-4864

e-ISSN

—

Volume of the periodical

15

Issue of the periodical within the volume

2

Country of publishing house

RS - THE REPUBLIC OF SERBIA

Number of pages

11

Pages from-to

193-203

UT code for WoS article

000589838100002

EID of the result in the Scopus database

2-s2.0-85098551347