Transportation Infrastructure in the US. Matthew Turner, Gilles Duranton, Geetika Nagpal. NBER Working Paper No. 27254, May 2020. https://www.nber.org/papers/w27254
Support for massive investments in transportation infrastructure, possibly with a change in the share of spending on transit, seems widespread. Such proposals are often motivated by the belief that our infrastructure is crumbling, that infrastructure causes economic growth, that current funding regimes disadvantage rural drivers at the expense of urban public transit, or that capacity expansions will reduce congestion. In fact, most US transportation infrastructure is not deteriorating and the existing scientific literature and does not show that infrastructure creates growth or reduces congestion. However, current annual expenditure on public transit buses exceeds that on interstate construction and maintenance. The evidence suggests the importance of an examination of how funding is allocated across modes but not of massive new expenditures.
Bipartisan Alliance, a Society for the Study of the US Constitution, and of Human Nature, where Republicans and Democrats meet.
Tuesday, June 2, 2020
“They Don’t Know Better Than I Do”: People Are Reluctant to Rely on the Wisdom of Crowds in Individual Decision Making
Yonah, Merav, and Yoav Kessler. 2020. ““They Don’t Know Better Than I Do”: People Are Reluctant to Rely on the Wisdom of Crowds in Individual Decision Making.” PsyArXiv. June 2. doi:10.31234/osf.io/z8nr2
Abstract: Establishing the way people decide to use or avoid information when making a decision is of great theoretical and applied interest. In particular, the “big data revolution” enable decision makers to harness the wisdom of crowds (WoC) toward reaching better decisions. The WoC is a well-documented phenomenon that highlights the potential superiority of collective wisdom over that of an individual. However, individuals may fail to acknowledge the power of collective wisdom as a means for optimizing decision outcomes. Using a random dot motion task, the present study examined situations in which decision makers must choose between relying on their own personal information or relying on the WoC in their decision. Although the latter was always the rational choice, a substantial part of the participants chose to rely on their own observation and also advised others to do so. This choice tendency was associated with higher confidence, but not with better task performance, and hence reflects overconfidence. Acknowledging and understanding this decision bias may help mitigating it in applied settings.
Abstract: Establishing the way people decide to use or avoid information when making a decision is of great theoretical and applied interest. In particular, the “big data revolution” enable decision makers to harness the wisdom of crowds (WoC) toward reaching better decisions. The WoC is a well-documented phenomenon that highlights the potential superiority of collective wisdom over that of an individual. However, individuals may fail to acknowledge the power of collective wisdom as a means for optimizing decision outcomes. Using a random dot motion task, the present study examined situations in which decision makers must choose between relying on their own personal information or relying on the WoC in their decision. Although the latter was always the rational choice, a substantial part of the participants chose to rely on their own observation and also advised others to do so. This choice tendency was associated with higher confidence, but not with better task performance, and hence reflects overconfidence. Acknowledging and understanding this decision bias may help mitigating it in applied settings.