Learning and Fatigue Effects Revisited: Investigating the Effects of Accounting for Unobservable Preference and Scale Heterogeneity
研究在离散选择实验中，考虑不可观测的偏好和尺度异质性如何影响观察到的学习与疲劳效应大小，帮助解释现有实证研究中的矛盾结论。
Using multiple choice tasks per respondent in discrete choice experiment studies increases the amount of available information. However, respondents’ learning and fatigue may lead to changes in observed utility function preference (taste) parameters, as well as the variance in its error term (scale); they need to be controlled to avoid potential bias. A sizable body of empirical research offers mixed evidence in terms of whether these ordering effects are observed. We point to a significant component in explaining these differences; we show how accounting for unobservable preference and scale heterogeneity can influence the magnitude of observed ordering effects. <i></i>