<abstract xmlns="http://www.w3.org/1999/xhtml"><bold>Research background:</bold> The issues undertaken in the paper include the specification of an econometric model in real estate mass appraisal. Advantages and disadvantages of using econometric models in real estate mass appraisal are discussed.<bold>Purpose:</bold> The issue of aiding the valuation process with an econometric model based on the Szczecin algorithm of real estate mass appraisal is discussed in the paper. Such problems like multicollinearity, lack of coincidence and nonmonotonic influence of attributes are pointed out. Also, potential solutions to these problems are mentioned. Moreover, the paper features a discussion of cases in which econometric appraisal is not sufficient.<bold>Research methodology:</bold> The base for constructing an econometric model is the so-called Szczecin algorithm of real estate mass appraisal. Based on the algorithm, the econometric model was created to enable determining the impact of real estate attributes and location on their value.<bold>Results:</bold> problems related with specification, estimation and verification of the real estate mass appraisal econometric model are discussed in an empirical example.<bold>Novelty:</bold> A non-linear model is proposed, which features explanatory variables introduced into the model, and by taking into consideration the scale of their measurement. The proposed model, by introducing dummy variables, also account for the impact of a location, which significantly improves the fit to empirical values.</abstract>

Research background: The issues undertaken in the paper include the specification of an econometric model in real estate mass appraisal. Advantages and disadvantages of using econometric models in real estate mass appraisal are discussed.Purpose: The issue of aiding the valuation process with an econometric model based on the Szczecin algorithm of real estate mass appraisal is discussed in the paper. Such problems like multicollinearity, lack of coincidence and nonmonotonic influence of attributes are pointed out. Also, potential solutions to these problems are mentioned. Moreover, the paper features a discussion of cases in which econometric appraisal is not sufficient.Research methodology: The base for constructing an econometric model is the so-called Szczecin algorithm of real estate mass appraisal. Based on the algorithm, the econometric model was created to enable determining the impact of real estate attributes and location on their value.Results: problems related with specification, estimation and verification of the real estate mass appraisal econometric model are discussed in an empirical example.Novelty: A non-linear model is proposed, which features explanatory variables introduced into the model, and by taking into consideration the scale of their measurement. The proposed model, by introducing dummy variables, also account for the impact of a location, which significantly improves the fit to empirical values.

Econometric Support of a Mass Valuation Process

Folia Oeconomica Stetinensia

This work is licensed under the Creative Commons Attribution-NonCommercial-NoDerivatives 4.0 International License.

{"article-title":"Econometric Support of a Mass Valuation Process"}

Research background: The issues undertaken in the paper include the specification of an econometric model in real estate mass appraisal. Advantages and...

Econometric Support of a Mass Valuation Process

Published Online: Aug 20, 2020

Page range: 81 - 94

Received: Sep 30, 2019

Accepted: Mar 09, 2020

DOI: https://doi.org/10.2478/foli-2020-0005

Keywords
econometric modelling, real estate mass appraisal algorithm, multicollinearity, qualitative variables

© 2020 Mariusz Doszyń, published by Sciendo

This work is licensed under the Creative Commons Attribution-NonCommercial-NoDerivatives 4.0 International License.

Econometric Support of a Mass Valuation Process

Published Online: Aug 20, 2020

Page range: 81 - 94

Received: Sep 30, 2019

Accepted: Mar 09, 2020

DOI: https://doi.org/10.2478/foli-2020-0005

Keywordseconometric modelling, real estate mass appraisal algorithm, multicollinearity, qualitative variables

© 2020 Mariusz Doszyń, published by Sciendo

This work is licensed under the Creative Commons Attribution-NonCommercial-NoDerivatives 4.0 International License.

Keywords
econometric modelling, real estate mass appraisal algorithm, multicollinearity, qualitative variables