Acknowledgements: We are grateful to the three anonymous referees and the editor of the journal for suggestions and comments that helped to improve the paper. We thank seminar participants at the Technische Universit¨at Berlin, Fiona Stoddard, and Verity Watson for helpful comments. The usual disclaimer applies.Peer reviewedPostprin
In the intricate domain of real estate, precise property valuation remains paramount for a spectrum ...
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The adoption of Automated Valuation Models (AVMs) in the field of property valuation is a trend, con...
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Digitalisation is becoming increasingly common within the valuation sector. Thus, it is vital to und...
In this paper we propose a data acquisition methodology, and a Machine Learning solution for the par...
Property market not only plays a major role in the Australian real estate economy but also holds a l...
Mass appraisal techniques are used in the valuation of large groups of real estate assets. Their use...
In this paper we propose a data acquisition methodology, and a Machine Learning solution for the par...
In recent years there has been a rapid move towards the adoption of Automated Valuation Models (AVMs...
Real estate managers must identify the value for properties in their current market. Traditionally, ...
Property valuation contributes significantly to market economic activities, while it has been contin...
In this article, we examine the accuracy and bias of market valuations in the U.S. commercial real e...
In the intricate domain of real estate, precise property valuation remains paramount for a spectrum ...
In recent years big financial institutions are interested in creating and maintaining property valua...
The adoption of Automated Valuation Models (AVMs) in the field of property valuation is a trend, con...
Market value predictions for residential properties are important for investment decisions and the r...
In this thesis, we develop an automated valuation model (AVM) for the residential real estate market...
We develop an automated valuation model (AVM) for the residential real estate market by leveraging s...
Digitalisation is becoming increasingly common within the valuation sector. Thus, it is vital to und...
In this paper we propose a data acquisition methodology, and a Machine Learning solution for the par...
Property market not only plays a major role in the Australian real estate economy but also holds a l...
Mass appraisal techniques are used in the valuation of large groups of real estate assets. Their use...
In this paper we propose a data acquisition methodology, and a Machine Learning solution for the par...
In recent years there has been a rapid move towards the adoption of Automated Valuation Models (AVMs...
Real estate managers must identify the value for properties in their current market. Traditionally, ...
Property valuation contributes significantly to market economic activities, while it has been contin...
In this article, we examine the accuracy and bias of market valuations in the U.S. commercial real e...
In the intricate domain of real estate, precise property valuation remains paramount for a spectrum ...
In recent years big financial institutions are interested in creating and maintaining property valua...
The adoption of Automated Valuation Models (AVMs) in the field of property valuation is a trend, con...