<abstract xmlns="http://www.w3.org/1999/xhtml">

<p>Testing a model in property evaluation can be a difficult task due to the large variety of these models. The most popular models used in valuation are regression and neural networks. This paper applied a systematic review study and presents 11 types of regression models and 9 types of neural network models applied in real estate valuation. Our aim is to provide a tool for model selection applied in real estate valuation. The selection criteria were based on their applicability, user preferences and price estimation performance. The findings were slightly different from our expectations. Multi-Layer Perceptron (MLP) and Multiple Linear Regression (GLM) are the most applied and popular models in valuation.</p>
</abstract>

Testing a model in property evaluation can be a difficult task due to the large variety of these models. The most popular models used in valuation are regression and neural networks. This paper applied a systematic review study and presents 11 types of regression models and 9 types of neural network models applied in real estate valuation. Our aim is to provide a tool for model selection applied in real estate valuation. The selection criteria were based on their applicability, user preferences and price estimation performance. The findings were slightly different from our expectations. Multi-Layer Perceptron (MLP) and Multiple Linear Regression (GLM) are the most applied and popular models in valuation.

The contribution of statistical models in the field of real estate valuation

Department of Accounting, Faculty of economics and Business Administration

Timisoara Journal of Economics and Business

This work is licensed under the Creative Commons Attribution-NonCommercial-NoDerivatives 3.0 License.

{"article-title":"The contribution of statistical models in the field of real estate valuation"}

Testing a model in property evaluation can be a difficult task due to the large variety of these models. The most popular models used in valuation are...

The contribution of statistical models in the field of real estate valuation

Online veröffentlicht: 11. März 2023

Seitenbereich: 111 - 126

DOI: https://doi.org/10.2478/tjeb-2022-0007

Schlüsselwörter
Regression models, ANN, Performance, Real estate, Models

© 2022 Helga Flavia Tothăzan, published by Sciendo

This work is licensed under the Creative Commons Attribution-NonCommercial-NoDerivatives 3.0 License.

The contribution of statistical models in the field of real estate valuation

Online veröffentlicht: 11. März 2023

Seitenbereich: 111 - 126

DOI: https://doi.org/10.2478/tjeb-2022-0007

SchlüsselwörterRegression models, ANN, Performance, Real estate, Models

© 2022 Helga Flavia Tothăzan, published by Sciendo

This work is licensed under the Creative Commons Attribution-NonCommercial-NoDerivatives 3.0 License.

Schlüsselwörter
Regression models, ANN, Performance, Real estate, Models