This paper applies hedonic regression to estimate the grid adjustment factors for a national<br>sample of commercial office properties. The paper demonstrates the viability of hedonic<br>grid regression in commercial real estate. Several robustness tests are employed to test the<br>reliability of the empirical results. The study finds that the hedonic approach yields slightly<br>more accurate and stable prediction result than a basic matching model without hedonic<br>adjustments.
|Journal||Journal of Real Estate Research|
|State||Published - Jan 2016|