“Smarter information, smarter consumers”? Insights into the housing market

Abstract

We thank the editor and two anonymous reviewers for their valuable comments and suggestions on an earlier draft of this paper. We are grateful for the financial support of the National Natural Science Foundation of China (Project #71231005 and #71671076) and the technical support of China Index Academy.

Real Estate Brokerage and Endowment Effects in the Housing Market: Evidence From Poland

“…The endowment effect is similar for up and down markets. The lack of difference in the intensity of the endowment effect during the upward and downward trends in property prices is also confirmed statistically (Ta-ble A1), which is in line with Gong et al (2019) and Tomal (2024). When both sellers and buyers do not use real estate agents, the endowment effect averages 12.05%, that is, PLN 83,972, which confirms the study of Tomal (2024), in which the endowment effect was 13.45% for the secondary residential sales market.…”

“…Over the past few years, the endowment effect has been increasingly studied for housing goods. For example, Bao and Gong (2016) and Gong et al (2019) identified a WTA-WTP gap in China's housing market. Bao (2020) found that the endowment effect occurs in the UK housing market, but only during price falls.…”

Is Hiding My First Name Enough? Using Behavioural Interventions to Mitigate Racial and Gender Discrimination in the Rental Housing Market

“…These tools specifically target System 2 thinking, which requires conscious mental efforts to arrive at rational decisions. Techniques within this category include providing information to educate decision-makers or raise awareness of certain facts (Gong et al, 2019), visualising important aspects of decision-making or complex information (Bhattacharyya et al, 2019), and engaging decision-makers in complex, cognitively demanding tasks via gamification (Mulcahy et al, 2020).…”

Housing market forecasts via stock market indicators

“…The mathematical study of housing markets dates back to the 1970s [1] , and its prominence has seen a significant increase in the last decades, as consumers are increasingly looking at the right time to make a significant investment [2] . Whilst classical studies have included complex models and economic examinations to varying levels of success [3] , after the housing market crashed in 2008 it became clear that new models are necessary to understand both the local and global behavior of housing markets.…”