Real properties acquired for the so-called public purpose, such as road investments, generate a one-off financial indemnity in the form of compensation paid to the expropriated owner. Due to the different possible modes of expropriation (pursuant to the Real Estate Management Act or the Special Road Act), the amount of the compensation due may be determined in different ways, which entails a variety of results. The article compares the compensation levels determined in two possible procedures: basing on the predominant use of the adjacent areas or on data from the transactions of real properties intended for public roads.
The conducted analyses demonstrated that the differences between these two types of compensation for land intended for development, established under two different expropriation procedures, are insignificant.
In this paper, the systems of real estate mass appraisal in some selected European countries will be discussed, in comparison with those of individual countries on other continents, in terms of similarities and differences in law, institutional scope and subjects responsible for its execution. With selected countries serving as an example, the practical aspects of operating the real estate owners’ taxation system will be discussed as well the data acquiring process, considered price-making factors, proceeding methodology and circumstances taken into account in real estate cadastral valuation, giving consideration to national specificity.
Determining the weights of market features of real estate in explaining their prices is one of the basic objectives of market analysis, performed as part of the property value estimation process. In practice, property appraisers usually settle for basic methods of determining weights, for example based on the principle of ceteris paribus or on the basis of linear correlation coefficients. The article proposes the use of curvilinear correlation coefficients for this purpose; an attempt of such use was made and the obtained results were compared with the weights determined on the basis of linear correlations. The conducted analyses proved that the inclusion of curvilinear correlations at the stage of market analysis, allows for extracting a greater number of features recognized as price-creating, i.e. leads to a smaller loss of market information and is a more reliable tool for determining the weights of attributes in price explanation.
The market of non-residential premises is the subject of analyses less frequently than the housing market. There are two main reasons which probably contribute thereto. First of all, commercial premises are relatively less frequently objects of trade than dwelling units; secondly, they are more diverse due to their various uses. The category includes garages, office premises, commercial premises, as well as warehouses. Such differences in their uses result in significantly different characteristics, such as surface area.
The article attempts to analyse a selected non-residential segment of the commercial property market in Krakow based on a large set of data (280 objects), referring to the transactions concluded in the last five years. The size of the data enabled the use of multidimensional modelling of the selected market in different size variants. This made it possible to draw reliable conclusions which undermine the widespread belief regarding very limited possibilities of using the method of market statistical analysis in the comparative approach, especially in this segment of the real estate market, as well as in others, where transactions are concluded less frequently than on the housing market.
The object of this paper is to determine real estate market value on the basis of a multidimensional function model in different variants: A - directly from the model estimated on the basis of a big database, B - from the same model form, but estimated on the basis of a reduced database consisting of dwellings most similar to the estimated one, and C - based on modeled prices corrected by random correction, calculated from random deviations for dwellings most similar to the assessed one. In the framework of statistical inference procedures, the resulting comparison was carried out by parametric significance tests. They were applied to draw conclusions on the analyzed variants
Referring to the developed and presented in previous publications (e.g. Barańska 2011) two-stage algorithm for real estate valuation, this article addresses the problem of the relationship between the two stages of the algorithm. An essential part of the first stage is the multi-dimensional function modelling of the real estate market. As a result of selecting the model best fitted to the market data, in which the dependent variable is always the price of a real property, a set of market attributes is obtained, which in this model are considered to be price-determining. In the second stage, from the collection of real estate which served as a database in the process of estimating model parameters, the selected objects are those which are most similar to the one subject to valuation and form the basis for predicting the final value of the property being valued. Assessing the degree of similarity between real properties can be carried out based on the full spectrum of real estate attributes that potentially affect their value and which it is possible to gather information about, or only on the basis of those attributes which were considered to be price-determining in function modelling. It can also be performed by various methods. This article has examined the effect of various approaches on the final value of the property obtained using the two-stage prediction. In order fulfill the study aim precisely as possible, the results of each calculation step of the algorithm have been investigated in detail. Each of them points to the independence of the two procedures.