Prediction of Changes in the Tax Burden of Land Plots with the Use of Multivariate Statistical Analysis Methods

It is believed that the ad valorem tax will increase fiscal burdens. In order to verify this statement, with the use of the Szczecin Algorithm of Real Estates Mass Appraisal, the land plots were appraised and the ad valorem tax was calculated. Next, a training set was sampled, for which the composit...

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Main Authors: Krzysztof Dmytrów, Sebastian Gnat
Format: Article
Language:English
Published: Wydawnictwo Uniwersytetu Ekonomicznego we Wrocławiu 2019-01-01
Series:Ekonometria
Online Access:https://journals.ue.wroc.pl/eada/article/view/895
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author Krzysztof Dmytrów
Sebastian Gnat
author_facet Krzysztof Dmytrów
Sebastian Gnat
author_sort Krzysztof Dmytrów
collection DOAJ
description It is believed that the ad valorem tax will increase fiscal burdens. In order to verify this statement, with the use of the Szczecin Algorithm of Real Estates Mass Appraisal, the land plots were appraised and the ad valorem tax was calculated. Next, a training set was sampled, for which the composite variable was calculated by means of three approaches: the TOPSIS method, the Generalised Distance Measure as the composite measure of development (GDM2), and the quasi-TOPSIS. They were the explanatory variables in the logistic regression model. Next, for the test set, changes of tax burden were forecasted. The aim of the research was to check the effectiveness of the presented approach for the estimation of the consequences of introducing the ad valorem tax. The results showed that all three approaches yielded similar results, but GDM2 was the best one. The main finding is that these approaches can be used in the prediction of changes in the tax burden of land plots.(original abstract)
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publishDate 2019-01-01
publisher Wydawnictwo Uniwersytetu Ekonomicznego we Wrocławiu
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spelling doaj-art-c3d8f77e7c544bb48a8b9dd97f23949c2025-08-20T02:09:14ZengWydawnictwo Uniwersytetu Ekonomicznego we WrocławiuEkonometria2449-99942019-01-01nr 2896Prediction of Changes in the Tax Burden of Land Plots with the Use of Multivariate Statistical Analysis MethodsKrzysztof Dmytrów0Sebastian Gnat1University of Szczecin, PolandUniversity of Szczecin, PolandIt is believed that the ad valorem tax will increase fiscal burdens. In order to verify this statement, with the use of the Szczecin Algorithm of Real Estates Mass Appraisal, the land plots were appraised and the ad valorem tax was calculated. Next, a training set was sampled, for which the composite variable was calculated by means of three approaches: the TOPSIS method, the Generalised Distance Measure as the composite measure of development (GDM2), and the quasi-TOPSIS. They were the explanatory variables in the logistic regression model. Next, for the test set, changes of tax burden were forecasted. The aim of the research was to check the effectiveness of the presented approach for the estimation of the consequences of introducing the ad valorem tax. The results showed that all three approaches yielded similar results, but GDM2 was the best one. The main finding is that these approaches can be used in the prediction of changes in the tax burden of land plots.(original abstract)https://journals.ue.wroc.pl/eada/article/view/895
spellingShingle Krzysztof Dmytrów
Sebastian Gnat
Prediction of Changes in the Tax Burden of Land Plots with the Use of Multivariate Statistical Analysis Methods
Ekonometria
title Prediction of Changes in the Tax Burden of Land Plots with the Use of Multivariate Statistical Analysis Methods
title_full Prediction of Changes in the Tax Burden of Land Plots with the Use of Multivariate Statistical Analysis Methods
title_fullStr Prediction of Changes in the Tax Burden of Land Plots with the Use of Multivariate Statistical Analysis Methods
title_full_unstemmed Prediction of Changes in the Tax Burden of Land Plots with the Use of Multivariate Statistical Analysis Methods
title_short Prediction of Changes in the Tax Burden of Land Plots with the Use of Multivariate Statistical Analysis Methods
title_sort prediction of changes in the tax burden of land plots with the use of multivariate statistical analysis methods
url https://journals.ue.wroc.pl/eada/article/view/895
work_keys_str_mv AT krzysztofdmytrow predictionofchangesinthetaxburdenoflandplotswiththeuseofmultivariatestatisticalanalysismethods
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