Modeling Space Market Dynamics: An Illustration Using Panel Data for US Retail

Patric Henry Hendershott, Maarten Jennen, Bryan Duncan MacGregor* (Corresponding Author)

*Corresponding author for this work

    Research output: Contribution to journalArticlepeer-review

    13 Citations (Scopus)
    13 Downloads (Pure)


    Real estate research has a long and extensive history of analyzing space market dynamics. Nonetheless, two areas have been under researched. Regional panels of data have been rarely analyzed. Moreover, due to data constraints, the retail market has been studied much less than other market segments.
    This paper addresses both of these topics through an analysis of Metropolitan Statistical Area (MSA) level panel data. Our study covers almost three decades of annual retail data for 11 of the largest MSAs of the United States. We estimate a long run rent model and use Error Correction Models for short run rent, vacancy and supply adjustments. We test for differences in local market behavior in both the long run equilibrium relationships and in the short run adjustment processes. We identify two groups of similar markets.
    Original languageEnglish
    Pages (from-to)659-687
    Number of pages29
    JournalThe Journal of Real Estate Finance and Economics
    Issue number4
    Early online date8 Jun 2013
    Publication statusPublished - Nov 2013

    Bibliographical note

    The authors gratefully acknowledge the generous data support that was offered by
    CBRE Econometric Advisors (CBRE EA), formerly Torto Wheaton Research, in this project. An earlier version was presented at the Annual AREUEA 2010 Meetings. Joint Asian Real Estate Society and American Real Estate and Urban Economics Association International Conference, Korea


    • Retail space market
    • Panel data
    • Error correction model


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