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Quantile regression in the consumption of luxury goods

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Authors
Janković-Šoja, Svjetlana
Maletić, Radojka
Krivokapić, M.
Anokić, Ana
Bucalo-Jelić, Dana
Article (Published version)
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Abstract
The multiple linear regression estimates an average trend of the observed phenomena and so it does not provide a complete illustration of relations among phenomena, while the use of quantile regression gives this aspect. The quantile regression presents the evaluation of regression models of different parts, quantiles of the conditional distribution of some series. The quantile regression is widely used in social policy, in determination of maximal production, consumption analysis, etc. This thesis presents some basic principles and the quantile regression model, which is being estimated by minimization of total absolute deviations using linear programming algorithms. The aim of this thesis is to present how the use of quantile regression provides a more complete understanding of the moving of alcoholic beverages and tobacco consumption (i.e. consumption of luxury goods). The research subject of this thesis is the linear dependence between income and alcoholic beverages and tobacco con...sumption of 200 households, which were randomly selected from three territories: the city of Belgrade, Central Serbia and Vojvodina in 2010. Based on these data, we estimated simple linear regression and the quantile regression in order to compare their advantages and disadvantages. It was concluded that if the consumption of luxury goods is higher, household income has no effect on the decision about the level of spending.

Keywords:
Consumption of alcoholic beverages and Tobacco / Least Absolute Deviations (LAD) / Linear regression model / Quantile regression
Source:
International Journal of Agricultural and Statistical Sciences, 2014, 10, 1, 35-41
Publisher:
  • DAV College

ISSN: 0973-1903

Scopus: 2-s2.0-84906774538
[ Google Scholar ]
1
Handle
https://hdl.handle.net/21.15107/rcub_agrospace_3491
URI
http://aspace.agrif.bg.ac.rs/handle/123456789/3491
Collections
  • Radovi istraživača / Researchers’ publications
Institution/Community
Poljoprivredni fakultet
TY  - JOUR
AU  - Janković-Šoja, Svjetlana
AU  - Maletić, Radojka
AU  - Krivokapić, M.
AU  - Anokić, Ana
AU  - Bucalo-Jelić, Dana
PY  - 2014
UR  - http://aspace.agrif.bg.ac.rs/handle/123456789/3491
AB  - The multiple linear regression estimates an average trend of the observed phenomena and so it does not provide a complete illustration of relations among phenomena, while the use of quantile regression gives this aspect. The quantile regression presents the evaluation of regression models of different parts, quantiles of the conditional distribution of some series. The quantile regression is widely used in social policy, in determination of maximal production, consumption analysis, etc. This thesis presents some basic principles and the quantile regression model, which is being estimated by minimization of total absolute deviations using linear programming algorithms. The aim of this thesis is to present how the use of quantile regression provides a more complete understanding of the moving of alcoholic beverages and tobacco consumption (i.e. consumption of luxury goods). The research subject of this thesis is the linear dependence between income and alcoholic beverages and tobacco consumption of 200 households, which were randomly selected from three territories: the city of Belgrade, Central Serbia and Vojvodina in 2010. Based on these data, we estimated simple linear regression and the quantile regression in order to compare their advantages and disadvantages. It was concluded that if the consumption of luxury goods is higher, household income has no effect on the decision about the level of spending.
PB  - DAV College
T2  - International Journal of Agricultural and Statistical Sciences
T1  - Quantile regression in the consumption of luxury goods
EP  - 41
IS  - 1
SP  - 35
VL  - 10
UR  - https://hdl.handle.net/21.15107/rcub_agrospace_3491
UR  - conv_7792
ER  - 
@article{
author = "Janković-Šoja, Svjetlana and Maletić, Radojka and Krivokapić, M. and Anokić, Ana and Bucalo-Jelić, Dana",
year = "2014",
abstract = "The multiple linear regression estimates an average trend of the observed phenomena and so it does not provide a complete illustration of relations among phenomena, while the use of quantile regression gives this aspect. The quantile regression presents the evaluation of regression models of different parts, quantiles of the conditional distribution of some series. The quantile regression is widely used in social policy, in determination of maximal production, consumption analysis, etc. This thesis presents some basic principles and the quantile regression model, which is being estimated by minimization of total absolute deviations using linear programming algorithms. The aim of this thesis is to present how the use of quantile regression provides a more complete understanding of the moving of alcoholic beverages and tobacco consumption (i.e. consumption of luxury goods). The research subject of this thesis is the linear dependence between income and alcoholic beverages and tobacco consumption of 200 households, which were randomly selected from three territories: the city of Belgrade, Central Serbia and Vojvodina in 2010. Based on these data, we estimated simple linear regression and the quantile regression in order to compare their advantages and disadvantages. It was concluded that if the consumption of luxury goods is higher, household income has no effect on the decision about the level of spending.",
publisher = "DAV College",
journal = "International Journal of Agricultural and Statistical Sciences",
title = "Quantile regression in the consumption of luxury goods",
pages = "41-35",
number = "1",
volume = "10",
url = "https://hdl.handle.net/21.15107/rcub_agrospace_3491, conv_7792"
}
Janković-Šoja, S., Maletić, R., Krivokapić, M., Anokić, A.,& Bucalo-Jelić, D.. (2014). Quantile regression in the consumption of luxury goods. in International Journal of Agricultural and Statistical Sciences
DAV College., 10(1), 35-41.
https://hdl.handle.net/21.15107/rcub_agrospace_3491
Janković-Šoja S, Maletić R, Krivokapić M, Anokić A, Bucalo-Jelić D. Quantile regression in the consumption of luxury goods. in International Journal of Agricultural and Statistical Sciences. 2014;10(1):35-41.
https://hdl.handle.net/21.15107/rcub_agrospace_3491 .
Janković-Šoja, Svjetlana, Maletić, Radojka, Krivokapić, M., Anokić, Ana, Bucalo-Jelić, Dana, "Quantile regression in the consumption of luxury goods" in International Journal of Agricultural and Statistical Sciences, 10, no. 1 (2014):35-41,
https://hdl.handle.net/21.15107/rcub_agrospace_3491 .

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