In this paper we present a method for using rational expectations in a linear-quadratic optimizationframework. Following the approach put forward by Sims, we solve the model through a QZdecomposition, which is generally easier to implement than the more widely used method of Blanchardand Kahn.

Transportation researchers have long struggled to find satisfactory ways ofdescribing and analysing traffic congestion, as evident from the large numberof often competing approaches and models that have been developed. This paperaims to provide a review of the literature on this topic. The paper...

Though a lot of work has been done on the distribution of job tenures, we are still uncertain about its main determinants.In this paper, we stress random shocks to match productivity after the start of an employment relation.The specificity of investment makes hiring and separation decisions...

Mostly infinite dimensional economies can be considered limits offinite dimensional economies, in particular when we think of time orproduct differentiation. We investigate conditions under which sequences of quasi-equilibria in finite dimensional economies converge to a quasi-equilibrium in the...

We explore the properties of various types of public and private pricing on acongested road network with heterogeneous users and allowing for elasticdemand. Heterogeneity is represented by a continuum of values of time. Thenetwork consists of both serial and parallel links, which allows us to...

This paper reconsiders Tullock's analysis of rent seeking and wasteful overdissipation. The purpose of this paper is to point outthat even though his original analysis of overdissipation is technically flawed, the definition of overdissipation can bemodified to explain instances in which...

The paper characterizes first and second order tail behavior ofconvolutions of i.i.d. heavy tailed random variables with supporton the real line. The result is applied to the problem of riskdiversification in portfolio analysis and to the estimation of theparameter in a MA(1) model.

This paper is concerned with linear dynamic factor models. In such models the observed process is decomposed into a structural part called the latent process, and a remainder that is called noise. The observed variables are treated in a symmetric way, so that no distinction between inputs and...