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Accounting for stochastic variables in discrete choice models

机译:在离散选择模型中考虑随机变量

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摘要

The estimation of discrete choice models requires measuring the attributes describing the alternatives within each individual's choice set. Even though some attributes are intrinsically stochastic (e.g. travel times) or are subject to non-negligible measurement errors (e.g. waiting times), they are usually assumed fixed and deterministic. Indeed, even an accurate measurement can be biased as it might differ from the original (experienced) value perceived by the individual.
机译:离散选择模型的估计需要测量描述每个人选择集中描述选择的属性。即使某些属性本质上是随机的(例如旅行时间)或遭受不可忽略的测量误差(例如等待时间),但它们通常被认为是固定的和确定性的。确实,即使是精确的测量也可能会有偏差,因为它可能与个人感知到的原始(经验)值有所不同。

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