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 …

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 …

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

causal impacts on student achievement. We test for bias in VA using previously unobserved parent characteristics and a quasi … that VA models which control for a studentʼs prior test scores exhibit little bias in forecasting teachersʼ impacts on …

In a widely cited study, Chetty, Friedman, and Rockoff (2014a; hereafter CFR) evaluate the degree of bias in teacher … there is little to no bias in their estimates. Using the same model with data from North Carolina, Rothstein (2014) argued …

students’ demographic characteristics and previous scores. This paper tests for VAM bias using a procedure that asks whether … model describing the joint distribution of school value-added, bias, and lottery compliance. We use this model to assess the … substantive importance of bias in conventional VAM estimates and to construct hybrid value-added estimates that optimally combine …

design an experiment that treats the two goods (a mug and a pen) symmetrically in all but in the probabilities with which … they are expected to be owned. Thus, our "endowmentless" endowment effect experiment shuts down all alternative mechanisms …