modern behavioral economics. This chapter reviews theory and evidence on this topic, with the goal of facilitating more … processes, biases in belief updating, the representativeness heuristic as a possible unifying theory, and interactions between … for (and against) each putative bias, and I highlight when and how different biases may be related to each other. The …

determine appropriate critical values, which can be several times standard levels. Overfitting bias also severely exacerbates … the multiple testing bias that arises when investigators consider more results than they present. Combining the best k out … of n candidate signals yields a bias almost as large as those obtained by selecting the single best of n …

beliefs have to sink in—being merely lagged, as the theory requires, is not sufficient. Past experiments with conflicting …

The appeal of expected utility theory as a basis for a descriptive model of risky decision making has diminished is a …

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 …