| 英文摘要 |
This paper explores the impact of market panic and urgent demand for supplies during the COVID-19 pandemic on the housing market. Using Google Trends Method, we quantify panic, panic buying, and perceived scarcity sentiments related to COVID-19, analyzing their correlation with housing market indicators such as housing prices, transaction volume, days on the market, and bargaining space. We find that the panic index has a lagged correlation with housing prices, days on the market, and bargaining space; the panic buying index has a significant relationship with housing prices and bargaining space; and the perceived scarcity index has a significant relationship with housing prices, days on the market, and bargaining space. The relationship between transaction volume and these sentiments is weaker and can only be revealed through a nonlinear threshold model. Additionally, changes in the housing market also affect public sentiment, with all four housing market indicators having a feedback effect on panic, panic buying, and perceived scarcity sentiments. The research results support a close relationship between sentiment and the housing market during the COVID-19 pandemic. |