Spatial Quantile Regression

In a number of applications, a crucial problem consists in describing and analyzing the influence of a vector Xi of covariates on some real-valued response variable Yi. In the present context, where the observations are made over a collection of sites, this study is more difficult, due to the comple...

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Main Author: Grażyna Trzpiot
Format: Article
Language:English
Published: Lodz University Press 2012-12-01
Series:Comparative Economic Research
Online Access:https://czasopisma.uni.lodz.pl/CER/article/view/6857
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spelling doaj-7d346d54c8ee493b8b394aedb8be2e492021-09-02T11:41:38ZengLodz University PressComparative Economic Research1508-20082082-67372012-12-0115426527910.2478/v10103-012-0040-86857Spatial Quantile RegressionGrażyna Trzpiot0University of Economics in KatowiceIn a number of applications, a crucial problem consists in describing and analyzing the influence of a vector Xi of covariates on some real-valued response variable Yi. In the present context, where the observations are made over a collection of sites, this study is more difficult, due to the complexity of the possible spatial dependence among the various sites. In this paper, instead of spatial mean regression, we thus consider the spatial quantile regression functions. Quantile regression has been considered in a spatial context. The main aim of this paper is to incorporate quantile regression and spatial econometric modeling. Substantial variation exists across quantiles, suggesting that ordinary regression is insufficient on its own. Quantile estimates of a spatial-lag model show considerable spatial dependence in the different parts of the distribution.https://czasopisma.uni.lodz.pl/CER/article/view/6857
collection DOAJ
language English
format Article
sources DOAJ
author Grażyna Trzpiot
spellingShingle Grażyna Trzpiot
Spatial Quantile Regression
Comparative Economic Research
author_facet Grażyna Trzpiot
author_sort Grażyna Trzpiot
title Spatial Quantile Regression
title_short Spatial Quantile Regression
title_full Spatial Quantile Regression
title_fullStr Spatial Quantile Regression
title_full_unstemmed Spatial Quantile Regression
title_sort spatial quantile regression
publisher Lodz University Press
series Comparative Economic Research
issn 1508-2008
2082-6737
publishDate 2012-12-01
description In a number of applications, a crucial problem consists in describing and analyzing the influence of a vector Xi of covariates on some real-valued response variable Yi. In the present context, where the observations are made over a collection of sites, this study is more difficult, due to the complexity of the possible spatial dependence among the various sites. In this paper, instead of spatial mean regression, we thus consider the spatial quantile regression functions. Quantile regression has been considered in a spatial context. The main aim of this paper is to incorporate quantile regression and spatial econometric modeling. Substantial variation exists across quantiles, suggesting that ordinary regression is insufficient on its own. Quantile estimates of a spatial-lag model show considerable spatial dependence in the different parts of the distribution.
url https://czasopisma.uni.lodz.pl/CER/article/view/6857
work_keys_str_mv AT grazynatrzpiot spatialquantileregression
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