scholarly journals The Hedonic Pricing Model Applied to the Housing Market of the City of Savannah and Its Savannah Historic Landmark District

Author(s):  
Richard J. Cebula
2012 ◽  
Vol 28 (4) ◽  
pp. 651 ◽  
Author(s):  
Jason Beck ◽  
Joshua Fralick ◽  
Michael Toma

<span style="font-family: Times New Roman; font-size: small;"> </span><p style="margin: 0in 0.5in 0pt; text-align: justify; mso-pagination: none;" class="MsoBodyText"><span style="font-size: 10pt;"><span style="font-family: Times New Roman;">This study applies a hedonic pricing model to the rapidly developing suburban housing market adjacent to the Savannah Historic Landmark District in the downtown area of Savannah, Georgia. Using OLS estimation, the hedonic pricing model yields results clearly tracing out the magnitude of the time-related housing price premium in the suburban market analyzed for the years from 2005 to 2010. The results also control for internal and external housing characteristics that are capitalized into the real sales prices of the housing transactions analyzed.</span></span></p><span style="font-family: Times New Roman; font-size: small;"> </span>


2021 ◽  
Vol 13 (2) ◽  
pp. 804
Author(s):  
Jean Dubé ◽  
Maha AbdelHalim ◽  
Nicolas Devaux

Many applications have relied on the hedonic pricing model (HPM) to measure the willingness-to-pay (WTP) for urban externalities and natural disasters. The classic HPM regresses housing price on a complete list of attributes/characteristics that include spatial or environmental amenities (or disamenities), such as floods, to retrieve the gradients of the market (marginal) WTP for such externalities. The aim of this paper is to propose an innovative methodological framework that extends the causal relations based on a spatial matching difference-in-differences (SM-DID) estimator, and which attempts to calculate the difference between sale price for similar goods within “treated” and “control” groups. To demonstrate the potential of the proposed spatial matching method, the researchers present an empirical investigation based on the case of a flood event recorded in the city of Laval (Québec, Canada) in 1998, using information on transactions occurring between 1995 and 2001. The research results show that the impact of flooding brings a negative premium on the housing price of about 20,000$ Canadian (CAN).


2020 ◽  
Vol 8 (1) ◽  
pp. 153-162 ◽  
Author(s):  
Sathita Malaitham ◽  
Atsushi Fukuda ◽  
Varameth Vichiensan ◽  
Vasinee Wasuntarasook

Sign in / Sign up

Export Citation Format

Share Document