With reference to a study sample related to the city of Milan (Northern Italy), the present research intends to identify the impact of the most influencing factors on the residential rents. In particular, in the analysis two hundred and twenty housing properties rented in the second half of 2019 have been collected and the most relevant intrinsic and extrinsic factors in the bargaining phases between the lessors and the potential lessees have been selected. Through the implementation of an econometric technique the investigation of the different functional relationships between the explanatory factors considered and the housing rents has been carried out. The present research could represent a valid reference for the private operators in the investment decisions phases and for the Public Administrations to monitor housing rent dynamics and to provide essential implications for fair housing policies.

The Contribution of the Most Influencing Factors on the Housing Rents: An Analysis in the City of Milan (Italy) / Morano, P; Tajani, F; Di Liddo, F; Ranieri, R; Amoruso, P. - STAMPA. - 12954:(2021), pp. 63-76. (Intervento presentato al convegno 21st International Conference on Computational Science and Its Applications (ICCSA 2021) tenutosi a Virtual, Online nel 13 -16 September 2021) [10.1007/978-3-030-86979-3_5].

The Contribution of the Most Influencing Factors on the Housing Rents: An Analysis in the City of Milan (Italy)

Morano, P;Tajani, F;Di Liddo, F;
2021-01-01

Abstract

With reference to a study sample related to the city of Milan (Northern Italy), the present research intends to identify the impact of the most influencing factors on the residential rents. In particular, in the analysis two hundred and twenty housing properties rented in the second half of 2019 have been collected and the most relevant intrinsic and extrinsic factors in the bargaining phases between the lessors and the potential lessees have been selected. Through the implementation of an econometric technique the investigation of the different functional relationships between the explanatory factors considered and the housing rents has been carried out. The present research could represent a valid reference for the private operators in the investment decisions phases and for the Public Administrations to monitor housing rent dynamics and to provide essential implications for fair housing policies.
2021
21st International Conference on Computational Science and Its Applications (ICCSA 2021)
978-3-030-86978-6
978-3-030-86979-3
The Contribution of the Most Influencing Factors on the Housing Rents: An Analysis in the City of Milan (Italy) / Morano, P; Tajani, F; Di Liddo, F; Ranieri, R; Amoruso, P. - STAMPA. - 12954:(2021), pp. 63-76. (Intervento presentato al convegno 21st International Conference on Computational Science and Its Applications (ICCSA 2021) tenutosi a Virtual, Online nel 13 -16 September 2021) [10.1007/978-3-030-86979-3_5].
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Utilizza questo identificativo per citare o creare un link a questo documento: https://hdl.handle.net/11589/262344
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