Impact of House Price on Economic Stability: Some Lessons from OECD Countries [0.03%]
房价与经济稳定：OECD国家的经验教训
Alam I Asadov,Mansor H Ibrahim,Ramazan Yildirim
Alam I Asadov
Despite having abundant literature blaming a faulty financial system and exuberant price expectations as the primary causes of housing bubbles, there is a lack of research that looks at the impact of house price instability on the economy...
Introduction to Special Issue: Topics Related to Real Estate Market Efficiency [0.03%]
特刊介绍：与房地产市场效率相关的主题
Daniel Broxterman,Dean Gatzlaff,Mariya Letdin et al.
Daniel Broxterman et al.
The efficiency of the real estate market is a major concern for homeowners, investors, lenders, policymakers, and researchers. Modern academic literature has mostly moved beyond an early emphasis on formal tests of informational efficiency....
Shulin Shen,Yiyi Zhao,Jindong Pang
Shulin Shen
This paper examines the impacts of local housing sentiments on the housing price dynamics of China. With a massive second-hand transaction dataset, we construct monthly local housing sentiment indices for 18 major cities in China from Janua...
Mandi Xu,Hefan Zheng,Jing Wu
Mandi Xu
Online businesses have been surging worldwide during the past decade, especially during the recent COVID-19 epidemic. However, the market share of online real estate transactions is still limited, mainly due to the information-asymmetry pro...
Daniel Broxterman,Tingyu Zhou
Daniel Broxterman
This article reviews research on the economics of information in real estate. It covers equity investment in private and public markets and intermediation by brokers. The review shows how, by examining the nature and extent of information f...
Boosting the Accuracy of Commercial Real Estate Appraisals: An Interpretable Machine Learning Approach [0.03%]
提高商用房地产评估准确性的可解释机器学习方法研究
Juergen Deppner,Benedict von Ahlefeldt-Dehn,Eli Beracha et al.
Juergen Deppner et al.
In this article, we examine the accuracy and bias of market valuations in the U.S. commercial real estate sector using properties included in the NCREIF Property Index (NPI) between 1997 and 2021 and assess the potential of machine learning...
Carina Kaiser,Julia Freybote,Wolfgang Schäfers
Carina Kaiser
We investigate the impact of governmental restrictions on the short-term risk perception, as proxied by the going-in cap rate, of investors in regional and neighborhood shopping centers. We use the COVID-19 pandemic as a natural experiment ...
Medical Service Quality and Office Rent Premiums: Reputation Spillovers [0.03%]
医疗服务质量和办公室租金溢价：声誉的外溢效应
Allen C Goodman,Brent C Smith
Allen C Goodman
Location spillovers are a common theme in real estate and urban economics research, but this is the first test on the relationship between hospital service quality and the demand for proximate medical office space. We hypothesize that hospi...
Boosted Tree Ensembles for Artificial Intelligence Based Automated Valuation Models (AI-AVM) [0.03%]
基于 boosting tree 族的人工智能自动估值模型(AI-AVM)
Tien Foo Sing,Jesse Jingye Yang,Shi Ming Yu
Tien Foo Sing
This paper develops an artificial intelligence based automated valuation model (AI-AVM) using the boosting tree ensemble technique to predict housing prices in Singapore. We use more than 300,000 private and public housing transactions in S...
Reducing Strategic Forbearance under the CARES Act: an Experimental Approach Utilizing Recourse Attestation [0.03%]
利用追索认证减少《CARES法案》下的战略不作为：一种实验方法
Jackson T Anderson,David M Harrison,Michael J Seiler
Jackson T Anderson
The Coronavirus Aid, Relief, and Economic Security (CARES) Act was passed in response to both the global pandemic's immediate negative and expected long-lasting impacts on the economy. Under the Act, mortgage borrowers are allowed to cease ...