Analysis of the Characteristics of Individual Investors in Real Estate Securities and Income‐Producing Property
基于全国调查数据，用判别分析模型将投资者分为四类，预测准确率是随机概率的两倍多，为政策分析和房地产投资设计提供参考。
Analysis of the responses to a nationwide survey of investors demonstrates that individuals who invest in real estate differ in a predictable way from those who invest in assets other than real estate. Two types of real estate investment vehicles are studied: income‐producing (rental) property and real estate securities. A multiple group discriminant analysis model is presented which successfully classifies prospective investors into four groups (owners of income property only, real estate securities only, both, neither) with a predictive accuracy more than double the chance probability of correct classification. The results provide insights useful in policy analysis and the design and marketing of real estate investments.