A Commercial Real Estate Matching Method for Return Estimations

Autor:	Spenser Robinson, Alan K. Reichert
Rok vydání:	2015
Předmět:	Matching (statistics) Robustness (computer science) Economics Econometrics and Finance (miscellaneous) Hedonic index Econometrics Economics Sample (statistics) Real estate Hedonic regression Grid Reliability (statistics)
Zdroj:	Journal of Real Estate Research. 37:563-596
ISSN:	2691-1175 0896-5803
DOI:	10.1080/10835547.2015.12091429
Popis:	This paper applies hedonic regression to estimate the grid adjustment factors for a national sample of commercial office properties. The paper demonstrates the viability of hedonic grid regression in commercial real estate. Several robustness tests are employed to test the reliability of the empirical results. The study finds that the hedonic approach yields slightly more accurate and stable prediction result than a basic matching model without hedonic adjustments.
Databáze:	OpenAIRE
Externí odkaz:	https://explore.openaire.eu/search/publication?articleId=doi_________::0657cf36b1b8f89c40b7ff3b125a3ad4 https://doi.org/10.1080/10835547.2015.12091429 Zobrazit plný text záznamu