We present a polynomial time method for identifying the maximal set in excess demand at a given payoff vector. This set can be used in “large” partnership formation problems to identify the minimum element in the set of individually rational payoff vectors at which there is no overdemanded...

We extend the pioneering work of Aumann–Serrano by presenting an index of riskiness for gambles with either positive or negative expectations. It can be of use for a variety of abstract behaviors, when adapting the framework of either Expected-Utility Theory or Prospect Theory.

We introduce an envelope condition method (ECM) for solving dynamic programming problems. The ECM method is simple to implement, dominates conventional value function iteration and is comparable in accuracy and cost to Carroll’s (2005) endogenous grid method. Codes are available.

We consider procedures that use randomness to make a decision that involves several individuals. We asked subjects to compare the fairness of six pairs of seemingly equivalent procedures. We propose a classification of subjects into two categories: those who are “emotional” in the sense...

This note describes a general procedure for solving for the steady state and the dynamics implied by the Ramsey equilibrium of medium-scale macroeconomic models. The procedure yields an exact numerical solution for the steady state and second-order accurate dynamics. It introduces a novel...

Imposing the monotone treatment selection (MTS) assumption and the monotone instrumental variable (MIV) assumption implies bounds on average treatment effect that differ from those commonly reported in the applied literature. Instead, for the bounds to be correct, we should use an MTS assumption...

In this paper, we propose a constrained maximum likelihood estimator for misclassification models, by formulating the estimation as an MPEC (Mathematical Programming with Equilibrium Constraints) problem. Our approach improves the numerical accuracy and avoids the singularity problem. Monte...

This paper shows that grid-based numerical solutions to models with incomplete markets and aggregate uncertainty are sensitive to the number and placement of grid points in the aggregate asset holdings direction. Higher moments of the cross-sectional distribution of asset holdings can be...

Numerical methods for dynamic programming often use value function iteration and interpolation. We present a novel shape-preserving rational spline approximation method that improves value function iteration in terms of both stability and accuracy compared to more common methods.

In this paper, we consider a finite-horizon model with the time-additive utility and the time varying discount rate. With the assumption of the concavity of absolute risk tolerance, the concavity of the consumption function has been proved. This result significantly broadens the conclusion of...