By simplifying the computational tasks and by providing step-by-step explanations of the procedures required to study a linear dynamic rational expectations (LDRE) model, this paper and the accompanying ``LDRE Toolbox' of Matalb functions guide a researcher with almost no experience in...

AFRICAN ECONOMIC PERFORMANCE HAS BEEN MARKEDLY WORSE THAN THAT OF OTHER REGIONS. THUS, THE GOVERNMENTS OF AFRICAN COUNTRIES HAVE ASSUMED MAJOR RESPONSIBILITIES FOR ECONOMIC REFORMS AND GROWTH. ALONG WITH THESE RESPONSIBILITIES HAS COME AN INCREASED AWARENESS OF THE INTERRELATEDNESS OF DIFFERENT...

This paper compares alternative methods for approximating and solving the stochastic growth model with parameterized expectations. We compare polynomial and neural netowork specifications for expectations, and we employ both genetic algorithm and gradient-descent methods for solving the...

Recently, there has been growing concern that human activities may be affecting the global climate through growing atmospheric concentrations of greenhouse gases(GHG). Such warming could have major impacts on economic activity and society. For the Nigerian case, the study uses multisector...

In spite of elaborate descriptive and correlational studies, the most ubiquitous phenomenon in economics, namely inflation, has remained unexplained in terms of its mathematical origins. Keynes had attempted to relate inflation to a mechanism of "sticky wages and prices". Hitherto, such theories...

A welfare analysis of a risky policy is impossible within a linear or linearized model and its certainty equivalence property. The presented algorithms are designed as a toolbox for a general model class. The computational challenges are considerable and I concentrate on the numerics and...

This paper introduces a new and computationally inexpensive method to test for uniqueness of equilibrium in exchange economies.

Most prices and interest rates display fluctuating levels that embody extractable energy and equivalent amounts of money. Such fluctuations are also associated with varying degrees of uncertainty. Shannon's derivations of spectral entropy and information content offer computational techniques...