This chapter describes a very general approach to learning in games: experience-weighted attraction (EWA) learning. This approach strives to explain, for every choice in an experiment, how that choice arose from players' previous behavior and experience, using a general model which can be...

This chapter reviews recent experimental data testing game theory and behavioral models that have been inspired to explain those data. The models fall into four groups: in cognitive hierarchy or level- k models, the assumption of equilibrium is relaxed by assuming agents have beliefs about other...

One of the central predictions of the life cycle hypothesis is that individuals smooth consumption over their economic life cycle; thus, they save when income is high, in order to provide for when income is likely to be low, such as after retirement. We test this prediction in a group of...

This paper compares the social norms of distributive transfers within village communities in the north and south of Vietnam by analyzing household survey and experimental data. The results of household data analysis show private transfers flow from high-income households to low-income households...

We measure individual-level loss aversion using three incentivized, representative surveys of the U.S. population (combined N = 3,000). We find that around 50% of the U.S. population is loss tolerant, with many participants accepting negative-expected-value gambles. This is counter to earlier...

We use four incentivized representative surveys to study the endowment effect for lotteries in 4,000 U.S. adults. We replicate the standard finding of an endowment effect–the divergence between Willingness to Accept (WTA) and Willingness to Pay (WTP), but document three new findings. First, we...

The reproducibility of scientific findings has been called into question. To contribute data about reproducibility in economics, we replicate 18 studies published in the American Economic Review and the Quarterly Journal of Economics in 2011-2014. All replications follow predefined analysis...

The acknowledged importance of uncertainty in economic decision making has stimulated the search for neural signals that could influence learning and inform decision mechanisms. Current views distinguish two forms of uncertainty, namely risk and ambiguity, depending on whether the probability...

Neuroeconomics uses knowledge about brain mechanisms to inform economic analysis, and roots economics in biology. It opens up the "black box" of the brain, much as organizational economics adds detail to the theory of the firm. Neuroscientists use many tools— including brain imaging, behavior...