Econometric support of mass valuation process

CC BY-NC-ND Logo DOI

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. 

Tytuł
Econometric support of mass valuation process
Twórca
Doszyń Mariusz ORCID 0000-0002-3710-1177
Słowa kluczowe
econometric modelling; real estate mass appraisal algorithm; multicollinearity; qualitative variables
Słowa kluczowe
modelowanie ekonometryczne; algorytm masowej wyceny nieruchomości; współliniowość; zmienne jakościowe
Data
2020
Typ zasobu
artykuł
Identyfikator zasobu
DOI 10.2478/foli-2020-0005
Źródło
Folia Oeconomica Stetinensia, 2020, vol. 20 issue 1, s. 81-94
Język
angielski
Prawa autorskie
CC BY-NC-ND CC BY-NC-ND
Dyscyplina naukowa
Dziedzina nauk społecznych; Ekonomia i finanse
Kategorie
Publikacje pracowników US
Data udostępnienia22 lip 2021, 13:28:21
Data mod.26 sie 2021, 10:03:30
DostępPubliczny
Aktywnych wyświetleń0