Data and Code for: Quality-adjusted house price indexes
收藏ICPSR2020-01-01 更新2026-04-16 收录
下载链接：
https://www.openicpsr.org/openicpsr/project/116941
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资源简介：
The constant-quality assumption in repeat-sales house price indexes (HPIs) introduces a significant time-varying attribute bias. The direction, magnitude, and source of the bias varies throughout the market cycle and across metropolitan statistical areas (MSAs). We mitigate the bias using a data-driven textual analysis approach that identifies and includes salient text from real estate agent remarks in the repeat-sales estimation. Absent the text, MSA-level HPIs are biased downwards by as much as 7% during the financial crisis and upwards by as much as 20% after the crisis. The geographic concentration of the bias magnifies its effect on local HPIs.
提供机构：
West Virginia University; San Diego State University
创建时间：
2020-01-01
