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Russia’s Comparative Advantages in Foreign Trade

Forecasting Potential Dynamics and Identifying Stimulation Measures

by Ivan Savin (Author)
©2013 Thesis 135 Pages

Summary

Identifying 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.

Details

Pages
135
Year
2013
ISBN (PDF)
9783653021073
ISBN (Hardcover)
9783631639931
DOI
10.3726/978-3-653-02107-3
Language
English
Publication date
2012 (November)
Keywords
heuristic optimization Monte Carlo simulation Central and Eastern European (CEE) countries Russian Federation least absolute shrinkage and selection operator (lasso)
Published
Frankfurt am Main, Berlin, Bern, Bruxelles, New York, Oxford, Wien, 2013. 135 pp., 30 tables, 21 graphs

Biographical notes

Ivan Savin (Author)

Ivan Savin studied International Economics at the Ural State University in Yekaterinburg (Russia) and at the University of Passau. In 2011 he obtained a PhD from the Department of Statistics and Econometrics at the University of Giessen. He is a postdoctoral researcher at the DFG Research Training Group 1411 «The Economics of Innovative Change» at the University of Jena. His research interests include computational econometrics, optimal control and technological change.

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137 pages