學術產出-期刊論文
文章檢視/開啟
書目匯出
-
題名 House Price Dispersion in Taipei Residential Communities 作者 江穎慧
Chiang, Ying-Hui
谷元
Ku, Yuan
Liu, Feng
張金鶚
Chang, Chin-Oh貢獻者 地政系 關鍵詞 Residential Communities ; Price Dispersion ; Multinomial Logistic Regression 日期 2019-03 上傳時間 2020-06-22 摘要 Due to housing stock heterogeneity, most academic discussions on price dispersion in the housing market have traditionally focused on the search behavior of consumers and neglected the housing and neighborhood characteristics that are related to price dispersion. This study applies a rich empirical data set from Taipei to explore the neighborhood characteristics that are associated with a higher degree of dispersion in housing price and associated likelihood of such. We track the housing transactions at the residential community level, and group the communities based on the coefficient of variation of the transaction prices in each community after controlling for community and housing characteristics. We apply a multinomial logistic regression to examine which neighborhood characteristics are more likely to be associated with higher price dispersion. We find that communities with higher price levels and built by government agencies are less likely to have high price dispersion, while those that are older, priced lower or have a minimum floor area of 50 pings are more likely to have higher price dispersion. 關聯 International Real Estate Review, Vol.22, No.1, pp.109-129 資料類型 article dc.contributor 地政系 dc.creator (作者) 江穎慧 dc.creator (作者) Chiang, Ying-Hui dc.creator (作者) 谷元 dc.creator (作者) Ku, Yuan dc.creator (作者) Liu, Feng dc.creator (作者) 張金鶚 dc.creator (作者) Chang, Chin-Oh dc.date (日期) 2019-03 dc.date.accessioned 2020-06-22 - dc.date.available 2020-06-22 - dc.date.issued (上傳時間) 2020-06-22 - dc.identifier.uri (URI) http://nccur.lib.nccu.edu.tw/handle/140.119/130155 - dc.description.abstract (摘要) Due to housing stock heterogeneity, most academic discussions on price dispersion in the housing market have traditionally focused on the search behavior of consumers and neglected the housing and neighborhood characteristics that are related to price dispersion. This study applies a rich empirical data set from Taipei to explore the neighborhood characteristics that are associated with a higher degree of dispersion in housing price and associated likelihood of such. We track the housing transactions at the residential community level, and group the communities based on the coefficient of variation of the transaction prices in each community after controlling for community and housing characteristics. We apply a multinomial logistic regression to examine which neighborhood characteristics are more likely to be associated with higher price dispersion. We find that communities with higher price levels and built by government agencies are less likely to have high price dispersion, while those that are older, priced lower or have a minimum floor area of 50 pings are more likely to have higher price dispersion. dc.format.extent 402351 bytes - dc.format.mimetype application/pdf - dc.relation (關聯) International Real Estate Review, Vol.22, No.1, pp.109-129 dc.subject (關鍵詞) Residential Communities ; Price Dispersion ; Multinomial Logistic Regression dc.title (題名) House Price Dispersion in Taipei Residential Communities dc.type (資料類型) article
