Information Asymmetry with Heterogeneous Buyers and Sellers in the Housing Market

2019 ◽  
Author(s):  
Ling Li ◽  
Kwong Wing Chau
2020 ◽  
Author(s):  
Nikodem Szumilo

Abstract The paper identifies neighbourhood price spillovers in the housing market. Although this concept attracted some theoretical research and is strongly supported by practitioners, it has proven very difficult to show in empirical data. By using the linear-in-means model, which is routinely applied to identify endogenous effects in groups of peers, the study summarizes all threats to identification and demonstrates how they can be addressed by exploiting information asymmetry between buyers of different houses and delays in revealing transaction prices. The results show that a 1% increase in the price of a house increases its neighbour's price by up to 0.3%.


Author(s):  
Russell Walker

Read any news report on the housing market, and inevitably it will include facts or figures from the real estate data giant Zillow.com. The company initially set out to solve two key economic frictions in the real estate industry information asymmetry and the principal-agent problem by empowering users to access real-time housing data and eliminating the need for realtors. The company soon realized, however, that American homeowners and buyers were not willing to give up the traditional real estate agent model and changed course. In the end, Zillow decided to join rather than replace the middlemen in the real estate industry.


2021 ◽  
Vol 13 (16) ◽  
pp. 8731
Author(s):  
Eulália Santos ◽  
Fernando Tavares ◽  
Vasco Tavares ◽  
Vanessa Ratten

The motivation to compare the importance that buyers and sellers give to the diverse characteristics of apartments is its pertinency to grasping the housing market. The objective of this article is to compare the determining factors in the choice and sale of apartments among the potential buyers and sellers. During a sale, the realtors exhibit the dwellings’ positive characteristics, the so-called amenities. The homebuyers must analyse the deal in a rational and well-weighed way, striving to know its characteristics to reduce the information asymmetry. The study focuses on two distinct samples, with the common goal of transacting housing. One of the samples is composed of individuals who are looking for apartments, and the other one of individuals who are selling apartments, both being collected in mainland Portugal. It was verified that there are statistically significant differences between buyers and sellers. Buyers give more importance to certain rooms and the inexistence of negative externalities near their future residence. Sellers emphasise positive externalities and parking spots. This study is expected to contribute to the increase in scientific knowledge on the housing market and to the decrease of the information asymmetry between sellers and buyers. Knowing the importance that buyers and sellers give to the main different factors in the Portuguese real estate market constitutes an advancement of knowledge in this area.


2020 ◽  
Vol 11 (2) ◽  
pp. 173-188
Author(s):  
Joo-Hwan Kim ◽  
Jin-Woo Park

2019 ◽  
Vol 5 (1) ◽  
pp. 38-49 ◽  
Author(s):  
B. K. Handoyo ◽  
M. R. Mashudi ◽  
H. P. Ipung

Current supply chain methods are having difficulties in resolving problems arising from the lack of trust in supply chains. The root reason lies in two challenges brought to the traditional mechanism: self-interests of supply chain members and information asymmetry in production processes. Blockchain is a promising technology to address these problems. The key objective of this paper is to present qualitative analysis for blockchain in supply chain as the decision-making framework to implement this new technology. The analysis method used Val IT business case framework, validated by the expert judgements. The further study needs to be elaborated by either the existing organization that use blockchain or assessment by the organization that will use blockchain to improve their supply chain management.


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