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Modelli edonici e sottomercati immobiliari: la stima dell?effetto "ubicazione" con le variabili binarie "zone omi"

Author

Listed:
  • Mauro Iacobini
  • Gaetano Lisi

Abstract

Due sono le principali caratteristiche del mercato delle abitazioni in Italia: la forte eterogeneit? del patrimonio immobiliare e il numero limitato di compravendite. La seconda caratteristica, in particolare, limita fortemente l?uso del metodo statistico pi? diffuso e maggiormente oggettivo per la stima dei prezzi impliciti e marginali delle caratteristiche abitative, vale a dire l?analisi di regressione multipla. Tuttavia, proprio in considerazione della prima caratteristica, il mercato immobiliare italiano risulta suddiviso nelle cosiddette "zone OMI", che individuano dei veri e propri sottomercati immobiliari. Pertanto, tramite l?aggregazione di pi? zone OMI di una stessa citt? e creando delle semplici variabili binarie per ognuna di esse, ? possibile raggiungere due importanti risultati: i) cogliere l?effetto che l?ubicazione dell?immobile in un particolare sottomercato immobiliare (zona OMI) ha sul prezzo di vendita; ii) rendere maggiormente fattibile l?analisi di regressione multipla, poich? aumenta notevolmente il campione di osservazioni a fronte di un piccolissimo incremento nel numero dei parametri da stimare.

Suggested Citation

  • Mauro Iacobini & Gaetano Lisi, 2016. "Modelli edonici e sottomercati immobiliari: la stima dell?effetto "ubicazione" con le variabili binarie "zone omi"," RIVISTA DI ECONOMIA E STATISTICA DEL TERRITORIO, FrancoAngeli Editore, vol. 2016(2), pages 43-70.
    • Handle: RePEc:fan:restre:v:html10.3280/rest2016-002002
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    References listed on IDEAS

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    1. Steven Bourassa & Eva Cantoni & Martin Hoesli, 2007. "Spatial Dependence, Housing Submarkets, and House Price Prediction," The Journal of Real Estate Finance and Economics, Springer, vol. 35(2), pages 143-160, August.
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    More about this item

    Keywords

    Sottomercati immobiliari; zone OMI; modelli edonici; analisi di regressione multipla; prezzi impliciti e marginali; effetto ubicazione/posizione;
    All these keywords.

    JEL classification:

    • C1 - Mathematical and Quantitative Methods - - Econometric and Statistical Methods and Methodology: General
    • C13 - Mathematical and Quantitative Methods - - Econometric and Statistical Methods and Methodology: General - - - Estimation: General
    • R21 - Urban, Rural, Regional, Real Estate, and Transportation Economics - - Household Analysis - - - Housing Demand
    • R31 - Urban, Rural, Regional, Real Estate, and Transportation Economics - - Real Estate Markets, Spatial Production Analysis, and Firm Location - - - Housing Supply and Markets

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