Description
Book SynopsisIdentifying factors which stimulate regional growth and international competitiveness and using them for forecasting are the aims of this book. Departing from the theory of comparative advantages and their impact, the author demonstrates that such an approach has to be based on a sound theoretical foundation and on appropriate, advanced econometric methods. He proposes the use of heuristic optimization techniques, Monte Carlo simulation experiments and Lasso-type estimators to avoid bias or misleading findings, which might be the result of applying standard regression methods when key assumptions are not satisfied. In addition, the author demonstrates how some heuristic optimization-based methods can be used to obtain forecasts of industrial production in Russia and Germany founded on past observations and some leading indicators.
Table of ContentsContents: Forecasting Russian Foreign Trade – Comparative Advantages in the Context of a Potential WTO Accession – Heuristic Optimization Methods for Dynamic Panel Data Model Selection: Application on the Russian Innovative Performance – Heuristic Model Selection for Leading Indicators in Russia and Germany – A comparative study of the Lasso-type and heuristic methods – Business Cycle Forecasts – Comparative Advantage – Dynamic Panel Data – Economy in Transition – Genetic Algorithms – Heuristic Methods – Innovation – Lasso – Leading Indicators – Model Selection – Threshold Accepting.
