论文标题
更好的选择超负荷测试
A Better Test of Choice Overload
论文作者
论文摘要
选择超负荷 - 更大的选择集对选择者的福祉有害 - 在经济政策的设计中可能非常重要。然而，目前关于其患病率的证据尚无定论。我们认为，现有测试可能不足，因此选择超负荷可能比文献所建议的要多。我们根据随机实用程序模型的更丰富的数据和表征定理提出了更强大的测试。这些新方法带来了重大的计量经济学挑战，我们表明了如何解决。我们将测试应用于新的实验数据，并找到有力的选择超负荷的证据，使用当前方法可能会错过。
Choice overload - in which larger choice sets are detrimental to a chooser's well-being - is potentially of great importance in the design of economic policy. Yet the current evidence on its prevalence is inconclusive. We argue that existing tests are likely to be underpowered and hence that choice overload may occur more often than the literature suggests. We propose more powerful tests based on richer data and characterization theorems for the Random Utility Model. These new approaches come with significant econometric challenges, which we show how to address. We apply our tests to new experimental data and find strong evidence of choice overload that would likely be missed using current approaches.
