Availability of Lee-Carter Model in Housing Market Analysis

Seungryul Ma
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Abstract

In this analysis, we compared Lee-Carter (LC) model and VAR model to confirm the availability of LC model in the forecast of housing market using the data of apartment transaction volume, and then evaluated the forecast accuracy by comparing the actual values with the forecasted values from LC model and VAR model. According to the results of this analysis, it appeared that the LC model was not inferior to VAR model in the forecast accuracy. In the additional analysis, the univariate time series forecasting models such as AR model or ARCH model also could not show superior results to LC model. LC model is expected to be used usefully in the field of housing market because the structure of LC model is simple and the estimating process is easy as well as it has similar forecast accuracy compare to different models. Meanwhile, different from VAR model, the sum of forecasted values of all 16 area estimated by using LC model was almost the same as the forecasted total values estimated by the univariate model. In this viewpoint, the LC model also has its merits compared to different models when we use the forecasted apartment transaction volume in the business practice.
李-卡特模型在住房市场分析中的有效性
在本分析中,我们将Lee-Carter (LC)模型与VAR模型进行比较,以公寓交易量数据验证LC模型在住房市场预测中的有效性,然后将LC模型和VAR模型的预测值与实际值进行比较,以评估预测的准确性。从分析结果来看,LC模型在预测精度上并不亚于VAR模型。在附加分析中,单变量时间序列预测模型如AR模型或ARCH模型也不能表现出优于LC模型的结果。由于LC模型结构简单,估计过程容易,并且与其他模型相比具有相似的预测精度,因此LC模型有望在住房市场领域得到有效的应用。同时,与VAR模型不同的是,LC模型估计的所有16个区域的预测值之和与单变量模型估计的预测值总和几乎相同。从这个角度来看,LC模型在商业实践中使用预测公寓交易量时,与其他模型相比也有其优点。
本文章由计算机程序翻译,如有差异,请以英文原文为准。
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