In linear programming problems the shadow price of a constraint is the difference between the optimised value of the objective function and the value of the ojective function, evaluated at the optional basis, when the right hand side (RHS) of a constraint is increased by one unit. It may be...

Nine macroeconomic variables are forecast in a real-time scenario using a variety of adaptive, nonadaptive, linear and nonlinear econometric models.

In this paper, we propose an analyze a model built to treat data presenting the following characteristics: 1. they appear in an aggregated form 2. the aggregated terms may be considered as multivariate measures performed by instruments of random accuracy, or by the same instrument in changing...

We drive the minimum variance quadratic unbiased estimator (MIVQUE) of the variance of the components of a random vector having a compound normal distribution (CND). We show that the MIVQUE converges in probability to a random variable whose distribution is essentially the mixing distribution...

Audit firms are faced with the complex job of scheduling auditors to audit tasks. The scheduling becomes more complex as the firm needs to consider real life issues in determining an optimal schedule. Among these issues are the setup times and cost emanating from changing the assignments of the...

This paper examines the relevance of the well known "no distortion at the top" result in a model of vertical differentiation. The analysis shows that the no crossing condition is a sufficient but not necessary condition in order to get non distortion at the top. relaxing some of the canonical...

In this paper, we analyze a general multivariate linear rational expectations model.

In this paper we identify a simple property of nonlinear temporary equilibrium map (TEM) that guarantees that all trajectories, along which the dynamics of the state variable remain bounded, converge to the steady state-in particular, the locally divergent trajactories also are driven back to...