We estimate the relative contribution of recursive preferences versus adaptive learning in accounting for the tail thickness of price–dividends/rents ratios. We find that both of these sources of volatility account for volatility in liquid (stocks) but not illiquid (housing) assets.

The assumption that individual preferences are rational and consistent with standard economic theory is often appropriate, but may be optimistic if consumers are uncertain about either their preferences or how the market operates. Both sources of uncertainty may present themselves in lab...

In an experiment, a group of strangers was randomly divided in pairs to play a prisoners’ dilemma; this process was indefinitely repeated. Cooperation did not increase when subjects could send public messages amounting to binding promises of future play.

We study credible information transmission by a benevolent short-lived central bank. When externalities create a wedge between private and social welfare, the central bank has an incentive to misreport its information. Information transmission through monetary policy creates a distortion, thus,...

We provide an infinite-horizon model of nonmonotone intertemporal preferences that capture a strong dislike of volatility involved in a utility sequence. As an intermediate result, we also derive a nonmonotone version of multiple-priors utility.

The purpose in this letter is to demonstrate, employing two parametric forms of the Markowitz model of utility, that heterogeneity of preferences of Markowitz agents can contribute towards an explanation of why lotteries typically have multiple rather than single prizes.

We propose an alternative axiomatization of the model of intertemporal utility smoothing suggested by Wakai (2008) without introducing auxiliary consumption risk.

In an experimental setting, subjects face a standard elicitation task for certainty equivalents. We show that when a third, objectively irrelevant, option is added to the standard task, the willingness to take risks increases.

This article develops a simple theoretical framework to show how forecasters may bias downward point predictions under the assumption that the asymmetric loss function is directly related to the (Mean) Absolute Percentage Error (M)APE.

We demonstrate theoretically and illustrate the implications of assuming power utility when the true function is of the expo-power form. Empirical results can appear to be consistent with cumulative prospect theory when they are in fact generated from a Markowitz model.