利用普通最小二乘回归确定土地价值

Mykel Taylor, B. Schurle, Brady Rundel, B. Wilson
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引用次数: 2

摘要

自2010年以来,农业用地价值平均每年增长21%,直到最近大宗商品价格大幅下跌。随之而来的盈利能力下降引发了人们对当前地价不可持续的担忧。本研究使用2012年至2014年6月的数据对堪萨斯州的土地价格进行了回归分析。回归允许评估地块的个别特征以及时间调整。该模型预测的价格在2013年呈上升趋势,但在2013年第四季度至2014年第一季度之间有所下降,这表明土地价格可能在2013年见顶。
本文章由计算机程序翻译,如有差异,请以英文原文为准。
Determining Land Values Using Ordinary Least Squares Regression
Agricultural land values have increased by an average of 21 percent each year since 2010 until recently when commodity prices dropped substantially. The accompanying decrease in profitability raises concerns that current land prices are not sustainable. This study presents a regression analysis of land prices in Kansas using data from 2012 through June 2014. Regression allows valuation of individual characteristics of land parcels as well as time adjustments. Prices projected by the model trended upward through 2013, but decreased between the last quarter of 2013 and the first quarter of 2014, suggesting that prices for land may have peaked in 2013.
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