A Commercial Real Estate matching method for return estimations

Spenser Robinson, Alan Reichert

Research output: Contribution to journalArticlepeer-review

5 Scopus citations


In this paper, we apply hedonic regression to estimate the grid adjustment factors for a national sample of commercial office properties. We demonstrate the viability of hedonic grid regression in commercial real estate. Several robustness tests are employed to test the reliability of the empirical results. We find that the hedonic approach yields slightly more accurate and stable prediction results than a basic matching model without hedonic adjustments.

Original languageEnglish
Pages (from-to)563-596
Number of pages34
JournalJournal of Real Estate Research
Issue number4
StatePublished - 2015


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