This paper studies a competitive market model for trading indivisible commodities. Commodities can be desirable or undesirable. Agents' preferences depend on the bundle of commodities and the quantity of money they hold. We assume that agents have quasi-linear utilities in money. Using the...

I argue in favor of a competitive screening approach for studying the question of coalition formation in exchange economies under asymmetric information. I obtain a new notion of core that refines Wilson (1978)'s coarse core. It is nonempty under the standard regularity conditions. I also...

In this paper, we consider a dynamic New Keynesian model of the small open economy in the light of bounded rationality. This entails private agents and the central bank updating their beliefs about the laws of motion of inflation, the output gap and real exchange rate when forming their optimal...

The assumption of internationally identical factor intensity techniques may be one of the major causes of the HOV model's poor performance. To relax this assumption, detailed input-output data are required to compute the factor intensity techniques used in different countries; however, these...

The paper focuses on short run macroeconomic dynamics triggered by demand side shocks. In particular, the paper analyzes, in a general equilibrium framework, the impact of transitory demand side shocks on the behavior of macroeconomic variables and examines the relevance of policy instruments...

The tax reform literature, pioneered by Guesnerie [1977], uses static models but views tax reform as a dynamic process, i.e., as a policy-maker implementing incremental reforms over time. This paper studies tax reform in a dynamic version of the Diamond-Mirrlees-Guesnerie model and focuses on a...

This paper studies the limit distributions of Monte Carlo estimators of diffusion processes. Two types of estimators are examined. The first one is based on the Euler scheme applied to the original processes; the second applies the Euler scheme to a variance-stabilizing transformation of the...

We introduce a new approximation method for the distribution of functions of random variables that are real-valued. The approximation involves moment matching and exploits properties of the class of normal inverse Gaussian distributions. In the paper we we examine the how well the different...