reliance on intuitions. In none of the tasks are very high stakes sufficient to de-bias participants, or come even close to …

The favorite-longshot bias describes the longstanding empirical regularity that betting odds provide biased estimates … misperceptions of probability drive the favorite-longshot bias, as suggested by Prospect Theory …

This paper considers causal inference and sample selection bias in non-experimental settings in which: (i) few units in …-treatment characteristics. We propose the use of propensity score matching methods and implement them using data from the NSW experiment … and compare the estimates of the treatment effect obtained using our methods to the benchmark results from the experiment …

This paper develops and applies semiparametric econometric methods to estimate the form of selection bias that arises … econometric selection model which represents the bias solely as a function of the probability of participation; and (c) the method … of difference-in-differences. Using data from an experiment on a prototypical social program combined with unusually rich …

teachers' classrooms, prior research has largely focused on the validity of value-added measures. We conduct an experiment …

need for a nonlinear utility-of-wealth function, and instead results from a sort of perceptual bias -- but one that … numerical cognition, and test its ability to explain the choice frequencies that we observe in a laboratory experiment …

relative to non-coethnics. The results run strongly against the common presumption of extensive ethnic bias among ordinary …

and show they behave well in realistic scenarios, correcting the large bias problem of the full sample estimator. We use … data from the National JTPA Study and the Tennessee STAR experiment to demonstrate the performance of alternative …