This study is an examination of the appropriateness of using a competitive learning neural-net algorithm to model labor-force migration. In the past, there have been a number of studies to model labor-force migration using cross-sectional regression analysis. These studies model the propensity...

This study examines the value of utilizing neural net modeling for issues relating to optimization across a network of cities in space. Neural nets are made up of many nonlinear computational elements that operate in parallel and are arranged in a manner similar to biological neural nets....

The recent large and rapid slowdown in economic activity has resulted in even larger and more rapid declines in international trade. As world trade is set to rebound, this paper addresses three questions: (i) Will trade volumes rebound in a symmetric fashion as world economic growth rebounds?...