Russia's Comparative Advantages in Foreign Trade - Forecasting Potential Dynamics and Identifying Stimulation Measures (Hardcover, New edition)


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.

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Product Description

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.

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Product Details

General

Imprint

Peter Lang Ag

Country of origin

Switzerland

Series

Schriften Zur Empirischen Wirtschaftsforschung, 21

Release date

November 2012

Availability

Expected to ship within 10 - 15 working days

First published

2013

Authors

Dimensions

210 x 148 x 13mm (L x W x T)

Format

Hardcover

Pages

135

Edition

New edition

ISBN-13

978-3-631-63993-1

Barcode

9783631639931

Categories

LSN

3-631-63993-7



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