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.
|Number of pages||34|
|Journal||Journal of Real Estate Research|
|State||Published - 2015|