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.

• Contents: 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.

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.

• Contents: 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.

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.

• Contents: 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.