Purpose
This study aims to examine previously identified hotel automated valuation models (AVMs) using a more extensive and updated sample of hotel sale transaction data, introduce economic conditions as a new determinant for hotel market value and test the moderating role of economic conditions on the relationship between the previously identified indicators and market value, operationalized as sale transaction price.
Design/methodology/approach
This study performs simple and multiple regression analyses to examine the proposed relationships. The sample period is from 2000 to 2012, because the economy prior to 2000 is likely to have been a less-relevant economic environment for the contemporary business world.
Findings
As hypothesized, there is an insignificant main effect of economic conditions on hotel sale prices. A moderating role of economic conditions on the relationship between average daily rate (and net operating income) and market value was found, while no moderating effect was found for occupancy rate and hotel size. Results also find certain support for AVMs previously presented in the literature, as described herein.
Originality/value
This study attempts to make contributions to the existing lodging and real estate literature by investigating a main effect of economic conditions on hotel sale prices and a moderating role of economic conditions on the relationship between various hotel performance indicators and hotel sale prices. In addition, this study operationalizes a relatively extensive (large base sample size of 2,441 hotel sale transactions) and recent (since 2000) database compared to previous studies.
