估计竞争:选择一致参数归一化的作用

Nils Herger
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引用次数: 0

摘要

br lhart和Schmidheiny(2015)利用统一条件logit模型和泊松回归的嵌套logit模型,开发了一种通过因子rho估计选项之间竞争程度的方法。本文认为br lhart和Schmidheiny(2015)方法涉及嵌套logit模型的参数归一化,该模型不是选择一致的。除了从理论的角度来看是不令人满意的,这也意味着估计的竞争因素(rho)是时间常数。对这些警告的补救措施是使用赫格和麦考里斯顿(2013)的选择一致正常化。
本文章由计算机程序翻译,如有差异,请以英文原文为准。
Estimating Rivalness: The Role of Choice Consistent Parameter Normalisation
By drawing on a nested logit model that unifies the conditional logit model and the Poisson regression, Brülhart and Schmidheiny (2015) have developed a method to estimate the degree of rivalness between options by a factor rho. This paper suggests that the Brülhart and Schmidheiny (2015) method involves a parameter normalisation of the nested logit model that is not choice consistent. Aside from being unsatisfactory from a theoretical point of view, this also implies that the estimated rivalness factor (rho) is time constant. A remedy for these caveats using the choice consistent normalisation of Herger and McCorriston (2013) is provided.
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