题名 |
Big Data Analysis of the Impact of COVID-19 on the San Francisco Real Estate Market |
作者 |
Chiu, Shih-Chieh(邱世傑);Hung, Jie-Shin(洪婕馨);Chen, Shu-Chuan(陳淑娟) |
关键词 |
San Francisco ; Covid ; Detached ; Townhouse ; Condominium |
期刊名称 |
電腦稽核 |
卷期/出版年月 |
50期(2024 / 08 / 30) |
页次 |
4 - 19 |
内容语文 |
英文 |
中文摘要 |
This study aims to empirically assess the big data analysis of this innovative hedonic pricing difference model, which constructs the price difference as the dependent variable. A substantial dataset comprising 26,902 housing transactions occurring between January 2018 and December 2022 in San Francisco, California, was sourced from the Bay Area Board of Realtors' Multiple Listing Service. This study examines the distinct impacts of the pandemic on detached, townhouse, and condominium prices in San Francisco. Utilizing empirical data and econometric models, this study analyzes the differential effects of COVID-19 on these housing types, considering variables such as days on the market, listing prices, selling prices, house type, house size, number of bedrooms, number of bathrooms, age of the house, garage space availability, and amenities around the house. Empirical findings reveal nuanced dynamics within each housing category, providing insights into the resilience and vulnerability of different segments of the real estate market amidst the pandemic. |
主题分类 |
基礎與應用科學 >
資訊科學 |