论文标题
房地产价格的享乐模型：游戏和环境因素
Hedonic Models of Real Estate Prices: GAM and Environmental Factors
论文作者
论文摘要
我们考虑使用P-Spline通用添加剂模型用于美国大型城市的房地产价格，将其预测效率与基于线性和多项式的广义线性模型进行对比。使用Redfin可用的固有和外在因素，我们表明GAM模型能够根据2021年的数据来描述预期LN（销售价格）中差异的84％至92％。随着气候变化的越来越重要，我们利用GAM模型来研究西北沿岸两个城市中心的环境因素的重要性。结果表明，城市在环境因素的意义上的依赖差异。我们发现，包含环境因素会使调整后的R -S平方GAM模型增加不到百分之一。
We consider the use of P-spline generalized additive hedonic models for real estate prices in large U.S. cities, contrasting their predictive efficiency against linear and polynomial based generalized linear models. Using intrinsic and extrinsic factors available from Redfin, we show that GAM models are capable of describing 84% to 92% of the variance in the expected ln(sales price), based upon 2021 data. As climate change is becoming increasingly important, we utilized the GAM model to examine the significance of environmental factors in two urban centers on the northwest coast. The results indicate city dependent differences in the significance of environmental factors. We find that inclusion of the environmental factors increases the adjusted R-squared of the GAM model by less than one percent.
