In previous work, the current authors derived a mathematical expression for the optimal (or "saturation") number of reinsurers for a given number of primary insurers (see Powers and Shubik, 2001). In the current paper, we show analytically that, for large numbers of primary insurers, this...

Most theories of risky choice postulate that a decision maker maximizes the expectation of a Bernoulli (or utility or similar) function. We tour 60 years of empirical search and conclude that no such functions have yet been found that are useful for out-of-sample prediction. Nor do we find...

Optimism-bias is inconsistent with the independence of decision weights and payoffs found in models of choice under risk, such as expected utility theory and prospect theory. Hence, to explain the evidence suggesting that agents are optimistically biased, we propose an alternative model of risky...

Many models of semiparametric multivariate survival functions are characterized by nonparametric marginal survival functions and parametric copula functions, where different copulas imply different dependence structures. This paper considers estimation and model selection for these...

Affective decision-making (ADM) is a refutable and predictive theory of individual choice under risk and uncertainty. It generalizes expected utility theory by positing the existence of two cognitive processes -- the "rational" and the "emotional" process. Observed choice is the result of their...

Affective decision-making is a strategic model of choice under risk and uncertainty where we posit two cognitive processes — the "rational" and the "emotional" process. Observed choice is the result of equilibirum in this intrapersonal game. As an example, we present applications of affective...

Affective decision-making is a strategic model of choice under risk and uncertainty where we posit two cognitive processes -- the "rational" and the "emotional" process. Observed choice is the result of equilibrium in this intrapersonal game. As an example, we present applications of affective...

We characterize, in the framework for variational preferences, the affective decision making model of choice under risk and uncertainty introduced by Bracha and Brown (2007). This characterization (i) provides a rigorus decision-theoretic foundation for affective decision making, (ii) offers an...

In an economy of interacting agents with both idiosyncratic and aggregate shocks, we examine how the structure of private information influences aggregate volatility. The maximal aggregate volatility is attained in a noise free information structure in which the agents confound idiosyncratic and...

The set of outcomes that can arise in Bayes Nash equilibria of an incomplete information game where players may have access to additional signals beyond the given information structure is equivalent to the set of a version of incomplete information correlated equilibrium which we dub Bayes...