This paper complements the results of Hausman and Taylor (1981) and Cornewell, Schmidt and Sickles (1990) and generalizes Park and Simar (1994) by examining the semiparametric efficient estimation of panel models in which the random effects and the regressors have certain patterns of correlation.

Efficiency scores of production units are measured by their distance to an estimated production forntier. Nonparametric DEA estimators are based on a finit sample of observed production units and radial distances are considered. We investigate the consistency and the speed of convergence of...

We assess the predictive accuracy of a large number of multivariate volatility models in terms of pricing options on the Dow Jones Industrial Average. We measure the value of model sophistication in terms of dollar losses by considering a set 248 multivariate models that differ in their...

A large number of parameterizations have been proposed to model conditional variance dynamics in a multivariate framework. This paper examines the ranking of multivariate volatility models in terms of their ability to forecast out-of-sample conditional variance matrices. We investigate how...

This paper addresses the question of the selection of multivariate GARCH models in terms of variance matrix forecasting accuracy with a particular focus on relatively large scale problems. We consider 10 assets from NYSE and NASDAQ and compare 125 model based one-step-ahead conditional variance...

In this paper, we focus on the trade and quote data for the IBM stock traded at the NYSE. We present two different framworks for analyzing this dataset. First, using regularly sampled observations, we characterize the intraday volatility of the mid-point of the bid-ask quotes by estimating GARCH...

The restructuring of electric systems can follow different paradigms that have different impacts. The objective of this paper is to show that Variational Inequalities Problems provide a natural tool for modeling electricity restructuring in a wide range of relevant situations.

The authors examine a variant of the uncapacitated lot-sizing model of Wagner-Within involving sales instead of fixed demands, and lower bounds on stocks. Two extended formulations are presented, as well as a dynamic programming algorithm and a complete description of the convex hull of solutions.

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...

The reduction theory of David F. Hendry provides a comprehensive probabilistic framework for the analysis and classification of the reductions associated with empirical econometric models. However, it is unable to provide an analysis on the sameunderlying probability space of the first reduction...