Conference Agenda

Overview and details of the sessions of this conference. Please select a date or location to show only sessions at that day or location. Please select a single session for detailed view (with abstracts and downloads if available).

Please note that all times are shown in the time zone of the conference. The current conference time is: 18th May 2024, 06:40:49am BST

 
 
Session Overview
Session
Residential real estate: prices, cycles, regulations
Time:
Thursday, 20/July/2023:
4:00pm - 5:30pm

Session Chair: Maxence Valentin, Cornell University, United States of America;
Location: Jesus College, Frankopan Hall

Breakout room

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Presentations

China’s Anti-corruption Campaign and Prices of Luxury Houses in Beijing

Peng, Liang; Tang, He

The Pennsylvania State University, United States of America;

Discussant: Coulson, Edward (UC Irvine)

We empirically investigate whether China’s anticorruption campaign directly affected government and party officials’ economic behavior, under the premise that they more likely own or afford luxury condos. Using condo sales from 2012 to 2018 in Beijing, we find that luxury condos commanded higher prices compared with ordinary condos before the anticorruption announcement in December 2012, which we call the luxury premium. However, the luxury premium decreased and became a discount after the anticorruption announcement. Furthermore, the decrease in the luxury premium was more pronounced in two districts where officials more likely reside. Using time windows before and after each of the 11 rounds of travelling inspections in our sample period after the anticorruption announcement, we also find that the luxury premium decreased after each inspection, and decreased more in the two “government districts”. We then identify subdivisions developed on land lots with unusually low land sale prices, which we assume more likely involved corruption in land sales and thus luxury condos there are more likely owned by corrupt officials. We find that the decrease in the luxury premium is more significant in these shady subdivisions. All these results are consistent with the notion that the anticorruption campaign affects officials’ demand for luxury condos.



Presale Discounts and Risk Sharing: Evidence from the Hong Kong Real Estate Market

Gan, Quan1; Hu, Maggie Rong2; Shi, Yang3; Zhang, Ally Quan4

1The University of Sydney; 2The Chinese University of Hong Kong; 3The University of Melbourne; 4Lancaster University;

Discussant: Tang, He (University of Cambridge)

Real estate developers face significant risks in managing new developments, and presale contracts are commonly used to shift these risks to buyers. We develop a theoretical model to show that presale prices are an increasing function of time and that earlier presales are associated with greater discounts, reflecting the tradeoff between risk sharing benefits and presale prices. Using comprehensive presale transaction data in Hong Kong, we find an upward-sloping presale price-time relationship. This relationship is stronger for developers with weaker financial conditions and concentrated businesses in Hong Kong, as well as for listed developers. We also find that the Hong Kong government's cooling intervention decreases the presale price-time sensitivity. Our study contributes to the literature on risk sharing in real estate development by providing new insights into the dynamics of presale prices and their implications for developers and policymakers.



Do Appraiser Adjustments Match the Market?

Conklin, James2; Coulson, Edward1; Diop, Moussa3

1UC Irvine, United States of America; 2University of Georgia; 3University of Southern California;

Discussant: Hu, Maggie (The Chinese University of Hong Kong)

Appraisers use comparable sales to estimate the market value of real property. They use sales of comparable properties to perform that valuation but must make adjustments to these comparables that are based on the differences in

attributes between them and the subject property. These adjustments should in theory be equivalent to the market’s valuation of these attributes. We develop a simple econometric model to test whether this is the case.



 
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