Appraisals are based on regression models. Its major application limits are all in situations in which the real estate market doesn’t offer a sufficient number of comparables to implement statistical tools. In low-transaction real estate markets, the most effective appraisal method is the market comparison approach (MCA). The application limits of MCA depend on the degree of similarity between the properties’ characteristics and the reliability of the prices of comparables. In this paper, we introduce some rational measurements in order to guarantee a scientific approach to MCA is associated with the correct prices. Our method is able to restore appraisals of the market value of any type of property, even in situations in which the comparables are limited or when the reliability of the buying and selling prices could be better.
Simonotti, M., Ciuna, M., Salvo, F., De Ruggiero, M. (2016). MEASUREMENTS OF RATIONALITY FOR A SCIENTIFIC APPROACH TO THE MARKET- ORIENTED METHODS. JOURNAL OF REAL ESTATE LITERATURE, Volume 24, Issue 2 (2016), 403-427 [10.5555/0927-7544.24.2.403].
MEASUREMENTS OF RATIONALITY FOR A SCIENTIFIC APPROACH TO THE MARKET- ORIENTED METHODS
SIMONOTTI, Marco;CIUNA, Marina;
2016-01-01
Abstract
Appraisals are based on regression models. Its major application limits are all in situations in which the real estate market doesn’t offer a sufficient number of comparables to implement statistical tools. In low-transaction real estate markets, the most effective appraisal method is the market comparison approach (MCA). The application limits of MCA depend on the degree of similarity between the properties’ characteristics and the reliability of the prices of comparables. In this paper, we introduce some rational measurements in order to guarantee a scientific approach to MCA is associated with the correct prices. Our method is able to restore appraisals of the market value of any type of property, even in situations in which the comparables are limited or when the reliability of the buying and selling prices could be better.
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