An Empirical Analysis of Hedonic Regression and Grid‐Adjustment Techniques in Real Estate Appraisal
将多元回归与传统的销售比较法结合，用回归生成网格调整系数，比较了组合方法与普通回归在不同市场条件下的准确性，发现网格回归法在相对同质的住房市场中更准确，且乘法百分比调整法为优选方法。
Multiple regression analysis has become increasingly popular when appraising residential properties for tax purposes. Alternatively, most fee appraisers and real estate brokers use the traditional sales comparison approach. This study combines the two techniques and uses multiple regression to generate the adjustment coefficients used in the grid adjustment method. The study compares the combined grid‐regression method with ordinary regression and defines the market conditions under which each method is likely to be more effective. The grid‐regression method is found to be more accurate for relatively homogeneous housing markets, and the multiplicative percentage adjustment method (MPAM) the preferred approach.