Applied to real estate markets analysis, the resampling methods aim to contribute to the knowledge growth of real estate market dynamics, overcoming the issues related to the data scarcity and operational limits of traditional statistical theory. Among resampling methods, the Bootstrap technique appears to be the most suitable for the interpretation of real estate phenomena. In this study, for residential properties located in Cosenza (Calabria Region, Italy), a Bootstrap approach has been used in order to determine the marginal prices of the real estate characteristics detected, comparing the results with those obtainable with a traditional Multiple Regression Analysis.

Resampling techniques for real estate appraisals: Testing the bootstrap approach / Del Giudice, Vincenzo; Salvo, Francesca; De Paola, Pierfrancesco. - In: SUSTAINABILITY. - ISSN 2071-1050. - 10:9(2018), p. 3085. [10.3390/su10093085]

Resampling techniques for real estate appraisals: Testing the bootstrap approach

Del Giudice, Vincenzo;De Paola, Pierfrancesco
2018

Abstract

Applied to real estate markets analysis, the resampling methods aim to contribute to the knowledge growth of real estate market dynamics, overcoming the issues related to the data scarcity and operational limits of traditional statistical theory. Among resampling methods, the Bootstrap technique appears to be the most suitable for the interpretation of real estate phenomena. In this study, for residential properties located in Cosenza (Calabria Region, Italy), a Bootstrap approach has been used in order to determine the marginal prices of the real estate characteristics detected, comparing the results with those obtainable with a traditional Multiple Regression Analysis.
2018
Resampling techniques for real estate appraisals: Testing the bootstrap approach / Del Giudice, Vincenzo; Salvo, Francesca; De Paola, Pierfrancesco. - In: SUSTAINABILITY. - ISSN 2071-1050. - 10:9(2018), p. 3085. [10.3390/su10093085]
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Utilizza questo identificativo per citare o creare un link a questo documento: https://hdl.handle.net/11588/722547
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