We review Hildreth's algorithm for computing the least squares regression subject to inequality constraints and Dykstra's generalization. We provide a geometric proof of convergence and several enhancements to the algorithm and generalize the application of the algorithm from convex cones to...

This paper is a user's guide to a set of Gauss procedures developed at the Bank of Canada for estimating regime-switching models. The procedures can estimate relatively quickly a wide variety of switching models and so should prove useful to the applied researcher. Sample program listings are...

This paper explores two very different models which might account for stock market crashes. A key innovative feature of our paper is that we use the models to show how their implications for stock market crashes may be tested using switching-regression econometrics. We are careful to show that...

This paper presents the econometric model of the Soviet economy that was built at the Osteuropa Institut in Munich. In the core of the model is the adaptive planning equation. Other equations are presented and discussed as well. The model is tested by ex post forcast and then some policy...

The aim of this research is to be examined and analysed the socio- economic characteristics of hunters of province Elassona, in the Prefecture of Larissa. The methodology that will follow will be models of linear regression with the method of least square and with models Logit for the more...

Generalizing from many of actual problems, this paper puts forward the game: boating against the current, discusses the related assumptions and analyzes the related characters of it. Further more, the author gives the dispersed and continuous models for boating against the current Based on the...

Most multivariate measures of skewness in the literature measure the overall skewness of a distribution. While these measures are perfectly adequate for testing the hypothesis of distributional symmetry, their relevance for describing skewed distributions is less obvious. In this article, we...

We study the rate of convergence of moment conditions that have been commonly used in the literature for Generalised Method of Moments (GMM) estimation of short memory latent variable volatility models. We show that when the latent variable possesses long memory, these moment conditions have an...

Volatility of financial markets is an important topic for academics, policy makers and market participants. In this study first I summarized several specifications for the conditional variance and also define some methods for combination of these specifications. Then assuming that the squared...