An important class of structural econometric models (nonlinear rational expectations,option pricing, auction models,...) characterize observable variables as highly nonlinear transformations of some latent variables. These transformations are one-to-one but they depend on the unknown...

In this paper, I first prove an integral representation theorem: Every quasi-integral on a Stone lattice can be represented by a unique upper-continuous capacity. I then apply this representation theorem to study the topological structure of the space of all upper-continuous capacities on a...

This paper explains how the Gibbs sampler can be used to perform Bayesian inference on GARCH models. Although the Gibbs sampler is usually based on the analytical knowledge of the full conditional posterior densities, such knowledge is not available in regression models with GARCH errors. We...

This paper proposes a class of asymmetric Autoregressive Conditional Duration models, which extends the ACD model of Engle and Russell (1997). The asymmetry consists of letting the duration process depend on the state of the price process in the beginning and at the end of the each duration. If...

After reviewing some of the basic preprocessins techniques for handling safety stocks and multilevel problems, we discusss a variety of aspects arising particularly in small and large bucket (time period) models such as stars-ups, changeovers, minimum batch sizes, choice of one or two set-ups...

In this paper, we survey some of the recent nonparapmetric estimation methods which were developed to price derivative contracts. We focus on equity options and staart with a so-called model-free approach which involves very little financial theory. Next we discuss nonparametric and...

Adaptive Polar Sampling (APS) is proposed as a Markov chain Monte Carlo method for Bayesian analysis of models with ill-behaved posterior distributions. In order to sample efficiency from such a distribution, location-scale transformation and a transformation to polar coordinates are used.

In this paper, we study the behaviour of second order pseudo-maximum likelihood estimators under conditional variance misspecification. We first determine sufficient and essentially necessary conditions for such an estimator to be, regardless of the conditional variance (mis)specification,...

We propose a structural econometric evaluation for auctions with discrete increments. Although very common in practice, this kind of mechanism raises many theoretical difficulties. First, there are no closed form equilibriumstrategies. Thus the econometrician cannot rely on a single formula to...