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Market Strength and Brokerage Choice in Residential Housing
被引:0
|作者:
Deng, Xiangou
[1
]
Li, Zhaohui
[2
]
Seiler, Michael J.
[3
]
Sun, Hua
[4
]
机构:
[1] Ind & Commercial Bank China, Beijing 100031, Peoples R China
[2] Shandong Univ, Business Sch, Weihai 264209, Shandong, Peoples R China
[3] Coll William & Mary, Dept Finance, Williamsburg, VA 23187 USA
[4] Iowa State Univ, Dept Finance, Ames, IA 50011 USA
关键词:
Real estate brokerage;
Dual agency;
Housing market;
Doubly robust estimation;
C35;
C51;
L85;
R31;
CONFLICTS-OF-INTEREST;
REAL-ESTATE;
LISTING PRICE;
FREE ENTRY;
SEARCH;
INFORMATION;
TIME;
OVERREACTION;
COMPETITION;
REPUTATION;
D O I:
10.1007/s11146-023-09969-6
中图分类号:
F8 [财政、金融];
学科分类号:
0202 ;
摘要:
This study develops a theoretical model examining the relation between housing market strength and brokerage choice. Our model shows that although internal transactions (where both buyer and seller agents are either the same or work for the same firm) have the potential side benefits of higher commission rates and lower search costs, in a strong housing market, brokerage firms are more likely to engage external transactions because of the greater demand for housing. However, when the market weakens, external demand for housing decreases, and brokerage firms become more willing to conduct internal transactions. Furthermore, while an internal transaction tends to occur at the expense of lowering the selling price, we show that it could also be chosen by brokerage firms with higher in-house searching-matching efficiency. This higher in-house efficiency generates a (second-order) counterforce of increasing the price. Hence, our model demonstrates that the housing market has a (partial) self-correction mechanism for the principal-agent incentive misalignment problem, especially when the market strengthens. Conversely, when the market weakens, internal transactions increase and prices decline, which can further weaken the market. Therefore, the equilibrium brokerage choice creates a self-reinforcing mechanism for generating more extreme market conditions. Using the Doubly Robust (DR) estimation method, we present empirical evidence consistent with the model with multiple listing service data from Hampton Roads, Virginia.
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页码:741 / 777
页数:37
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