When dealing with the presence of outliers in a dataset, the problem of choosing between the classical ordinary least squares and robust regression methods is sometimes addressed inadequately. In this article, we propose using a Hausman-type test to determine whether a robust S- estimator is...

Nonlinear filtering techniques and the quasi maximum likelihood estimator (QMLE) are applied to the problem of estimating the parameters of quadratic models for the term structure of interest rates. It is assumed that zero coupon bond yields data have been contaminated by noise, which allows the...

The least squares estimator is probably the most frequently used estimation method in regression analysis. Unfortunately, it is also quite sensitive to data contamination and model misspecification. Although there are several robust estimators designed for parametric regression models that can...

Relaxation algorithms provide a powerful method of finding noncooperative equilibria in general synchronous games. Through use of the Nikaido-Isoda function, the Nash solution to a broad category of constrained, multiplayer, non-zerosum games can easily be found. We provide solutions to some...

This paper builds on Kočenda (2001) and extends it in two ways. First, two new intervals of the proximity parameter ε (over which the correlation integral is calculated) are specified. For these ε- ranges new critical values for various lengths of the data sets are introduced and through...

Wavelet analysis, although used extensively in disciplines such as signal processing, engineering, medical sciences, physics and astronomy, has not yet fully entered the economics discipline. In this discussion paper, wavelet analysis is introduced in an intuitive manner, and the existing...

Computing the solution to a stochastic optimal control problem is difficult. A method of approximating a solution to a given stochatic optimal problem was developed in [1]. This paper describes a suite of Matlab functions implementing this method of approximating a solution to a given continuous...

Wavelet analysis, although used extensively in disciplines such as signal processing, engineering, medical sciences, physics and astronomy, has not yet fully entered the economics discipline. In this discussion paper, wavelet analysis is introduced in an intuitive manner, and the existing...

A panel data set for six Central and Eastern European countries (the Czech Republic, Hungary, Poland, Romania, Slovakia and Slovenia) is used to estimate the monetary exchange rate model with panel cointegration methods, including the Pooled Mean Group estimator, the Fully Modified Least Square...

Using a novel data set from post-communist countries in the 1990s, this paper examines linkages between political constraints, economic reforms and growth. A dynamic panel analysis suggests public support for reform is negatively associated with income inequality and unemployment. Both the ex...