Data Practices for Studying the Impacts of Environmental Amenities and Hazards with Nationwide Property Data
讨论了使用全国房产数据评估环境宜居性时面临的数据质量和建模问题，以ZTRAX数据库为例，提出了识别正常交易、地理定位、时间关联、物业类型识别及处理缺失数据等五方面的指导，并指出处理方法会显著影响研究结果。
<h3>Abstract</h3> We discuss data quality and modeling issues inherent in the use of nationwide property data to value environmental amenities. By example of ZTRAX, a U.S.-wide real estate database, we identify challenges and propose guidance for: (1) the identification of arm’s-length sales, (2) the geo-location of parcels and buildings, (3) temporal linkages between transaction, assessor, and parcel data, (4) the identification of property types, such as single-family homes and vacant lands, and (5) dealing with missing or mismeasured data for standard housing attributes. We review current practice and show that how researchers address these issues can meaningfully influence research findings.