Multilevel methodology approach for the construction of real estate monthly index numbers

Marina Ciuna, Marco Simonotti, Francesca Salvo

    Risultato della ricerca: Articlepeer review

    22 Citazioni (Scopus)

    Abstract

    In this paper, we evaluate price indices and hedonic price indices for Italian real estate data using multilevel models. The methodology is based on a random coefficient panel data model. We propose a Laspeyres-type price index and hedonic prices indexes based on some characteristics of the sold properties. The multilevel hierarchical analysis has the advantage of allowing the appraisal analysis for groups, and identified in the same sample data the hierarchical structures of market segmentation according to the parameters of the real estate segment. It allows getting a lot of regression functions as the number of groups identified. Obviously, this depends on the sample size and the variability between groups. Specifically, if the data are also grouped by date, the model allows an analysis of the time series which makes possible the calculation of index numbers and the overall monthly index numbers of real estate properties, consistent with collected data.
    Lingua originaleEnglish
    pagine (da-a)281-302
    Numero di pagine22
    RivistaJournal of Real Estate Literature
    Volume22
    Stato di pubblicazionePublished - 2015

    All Science Journal Classification (ASJC) codes

    • ???subjectarea.asjc.1400.1401???
    • ???subjectarea.asjc.2000.2001???

    Fingerprint

    Entra nei temi di ricerca di 'Multilevel methodology approach for the construction of real estate monthly index numbers'. Insieme formano una fingerprint unica.

    Cita questo