A Further Analysis of Provincial Trucking Regulation

J. Palmer
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引用次数: 4

Abstract

Forcing what is essentially a hyperbolic relationship into a linear regression model can create a "hyperbolic bag." This bag takes on importance if it is systematically related to other variables in the regression model. For the case at hand, it appeared that using a linear model might overstate the effects of regulation on trucking rates because the provinces which regulate rates have either relatively short or relatively long average distances, while those which do not regulate rates have intermediate distances falling at the bottom of such a bag. The regression model was respecified to correct for this problem, and while the respecification appears unimportant, other questions are raised.
省级货车运输管理进一步分析
将本质上的双曲关系强制转换为线性回归模型可以创建一个“双曲袋”。如果它与回归模型中的其他变量系统相关,则该包具有重要意义。就目前的情况而言,使用线性模型可能会夸大监管对卡车运输费率的影响,因为监管费率的省份的平均距离要么相对较短,要么相对较长,而那些不监管费率的省份的中间距离落在这样一个袋子的底部。为了纠正这个问题,重新指定了回归模型,虽然重新指定似乎不重要,但也提出了其他问题。
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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