Wszystkie pola: estate appraisal - Katalog OPAC zbiorów

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Tytuł:: Prediction of changes in the tax burden of land plots with the use of multivariate statistical analysis methods
Autorzy:: Dmytrów, Krzysztof
Gnat, Sebastian
Powiązania:: https://bibliotekanauki.pl/articles/424949.pdf
Data publikacji:: 2019
Wydawca:: Wydawnictwo Uniwersytetu Ekonomicznego we Wrocławiu
Tematy:: logistic regression
classification
multivariate statistical analysis
real estate mass appraisal
Opis:: 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.
Źródło:: Econometrics. Ekonometria. Advances in Applied Data Analytics; 2019, 23, 2; 33-48
1507-3866
Pojawia się w:: Econometrics. Ekonometria. Advances in Applied Data Analytics
Dostawca treści:: Biblioteka Nauki

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Skocz do pozycji: 2.

Tytuł:: Measurement of entropy in the assessment of homogeneity of areas valued with the Szczecin Algorithm of Real Estate Mass Appraisal
Autorzy:: Gnat, Sebastian
Powiązania:: https://bibliotekanauki.pl/articles/522272.pdf
Data publikacji:: 2019
Wydawca:: Uniwersytet Ekonomiczny w Katowicach
Tematy:: Entropy
Property market analysis
Property mass valuation
Opis:: Aim/purpose–General real estate taxation is a process regulated, inter alia, by the Real Estate Management Act. It is intended to establish a tax base for real estate in the event of a change in real estate tax base. General taxation is one of several applications of mass valuation of real estate, which enables valuation of many properties at the same time and with a uniform approach. One of the methods of mass valuation of real estate already applied in practice is the Szczecin Algorithm of Real Estate of Mass Appraisal (SAREMA). One of the immanent features of general taxation and the algorithm itself is the division of a selected area into possibly homogeneous areas called taxing zones with-in the general taxation terminology and, more broadly, elementary areas, according to the nomenclature used in the SAREMA. The paper presents the results of the studies on the measurement of elementary areas homogeneity on the example of land plots located in Szczecin. It is important to assess whether the designated sub-areas ofvaluation cover properties similar to each other in terms of their specific characteristics. If so, it will help to obtain more accurate mass valuation results.Design/methodology/approach–The paper proposes to use a modified entropy measure to establish whether the designated areas are homogeneous in terms of the specified properties of real estate. The database of real estate includes more than 1.5 thousand urbanised land plots located in Szczecin. The measurement of entropy will be preceded by the specification of elementary areas. The available methods include the application of an expert approach, under which land boundaries will be indicated by property valuers. Findings –The main conclusion of the study is that a modified measure of entropy en-sures a better indication of the degree of indefiniteness of valued sub-areas and thus it offers a better way of supporting the delimitation of these sub-areas in comparison to the classical measure of entropy.Research implications/limitations–The delimitation of valuation sub-areas constitutes an important element of mass valuation. Proper execution of this process enables obtain-ing much more precise valuations. An objective measure of homogeneity gives a chance to compare different approaches to the creation of the above-mentioned sub-areas and to choose the best of them.Originality/value/contribution–The main achievement of the study is a proposal to modify the classical entropy measure, thanks to which it better reflects the specificity of the assessment of homogeneity of the areas valued in terms of property market analysis.
Źródło:: Journal of Economics and Management; 2019, 38; 89-106
1732-1948
Pojawia się w:: Journal of Economics and Management
Dostawca treści:: Biblioteka Nauki

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Skocz do pozycji: 3.

Tytuł:: Spatial weight matrix impact on real estate hierarchical clustering in the process of mass valuation
Autorzy:: Gnat, Sebastian
Powiązania:: https://bibliotekanauki.pl/articles/19090897.pdf
Data publikacji:: 2019
Wydawca:: Instytut Badań Gospodarczych
Tematy:: agglomerative clustering
entropy
property mass appraisal
market analysis
Opis:: Research background: The value of the property can be determined on an individual or mass basis. There are a number of situations in which uniform and relatively fast results obtained by means of mass valuation undoubtedly outweigh the advantages of the individual approach. In literature and practice there are a number of different types of models of mass valuation of real estate. For some of them it is postulated or required to group the valued properties into homogeneous subset due to various criteria. One such model is Szczecin Algorithm of Real Estate Mass Appraisal (SAREMA). When using this algorithm, the area to be valued should be divided into the so-called location attractiveness areas (LAZ). Such division can be made in many ways. Regardless of the method of clustering, its result should be assessed, depending on the degree of implementation of the adopted criterion of division quality. A better division of real estate will translate into more accurate valuation results. Purpose of the article: The aim of the article is to present an application of hierarchical clustering with a spatial constraints algorithm for the creation of LAZ. This method requires the specification of spatial weight matrix to carry out the clustering process. Due to the fact that such a matrix can be specified in a number of ways, the impact of the proposed types of matrices on the clustering process will be described. A modified measure of information entropy will be used to assess the clustering results. Methods: The article utilises the algorithm of agglomerative clustering, which takes into account spatial constraints, which is particularly important in the context of real estate valuation. Homogeneity of clusters will be determined with the means of information entropy. Findings & Value added: The main achievements of the study will be to assess whether the type of the distance matrix has a significant impact on the clustering of properties under valuation.
Źródło:: Oeconomia Copernicana; 2019, 10, 1; 131-151
2083-1277
Pojawia się w:: Oeconomia Copernicana
Dostawca treści:: Biblioteka Nauki

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