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Ivan Savin

Personal Details

First Name:Ivan
Middle Name:
Last Name:Savin
Suffix:
RePEc Short-ID:psa638
[This author has chosen not to make the email address public]
http://ivansavin.wix.com/researcher-webpage

Affiliation

(90%) Ecological Economics and Integrated Assessment Unit
Institut de Ciència i Tecnologia Ambientals (ICTA)
Universitat Autònoma de Barcelona

Barcelona, Spain
http://www.eco2bcn.es/

:


RePEc:edi:eeuabes (more details at EDIRC)

(5%) Graduate School of Economics and Management
Ural Federal University

Yekaterinburg, Russia
http://gsem.urfu.ru/

: +79122276471

Yekaterinburg 620002, Mira str. 19
RePEc:edi:seurfru (more details at EDIRC)

(5%) Fakultät für Wirtschaftswissenschaften
Karlsruhe Institut für Technologie

Karlsruhe, Germany
http://www.wiwi.kit.edu/

:


RePEc:edi:fwkitde (more details at EDIRC)

Research output

as
Jump to: Working papers Articles

Working papers

  1. Johannes Karl Herrmann & Ivan Savin, 2016. "Optimal Policy Identification: Insights from the German Electricity Market," Jena Economic Research Papers 2016-004, Friedrich-Schiller-University Jena.
  2. Uwe Cantner & Ivan Savin & Simone Vannuccini, 2016. "Replicator dynamics in value chains: explaining some puzzles of market selection," Jena Economic Research Papers 2016-003, Friedrich-Schiller-University Jena.
  3. Vladimir Korzinov & Ivan Savin, 2016. "Pervasive Enough? General Purpose Technologies as an Emergent Property," Working Papers of BETA 2016-49, Bureau d'Economie Théorique et Appliquée, UDS, Strasbourg.
  4. Diego d'Andria & Ivan Savin, 2015. "Motivating innovation in a knowledge economy with tax incentives," Jena Economic Research Papers 2015-004, Friedrich-Schiller-University Jena.
  5. Dimitri Blueschke & Viktoria Blüschke-Nikolaeva & Ivan Savin, 2015. "Slow and steady wins the race: approximating Nash equilibria in nonlinear quadratic tracking games," Jena Economic Research Papers 2015-011, Friedrich-Schiller-University Jena.
  6. Herrmann, Johannes & Savin, Ivan, 2015. "Evolution of the electricity market in Germany: Identifying policy implications by an agent-based model," Annual Conference 2015 (Muenster): Economic Development - Theory and Policy 112959, Verein für Socialpolitik / German Economic Association.
  7. Dmitri Blueschke & Ivan Savin, 2015. "No such thing like perfect hammer: comparing different objective function specifications for optimal control," Jena Economic Research Papers 2015-005, Friedrich-Schiller-University Jena.
  8. Uwe Cantner & Ivan Savin, 2014. "Do Firms Benefit from Complementarity Effect in R&D and What Drives their R&D Strategy Choices?," Jena Economic Research Papers 2014-023, Friedrich-Schiller-University Jena.
  9. Ivan Savin & Dmitri Blueschke, 2013. "Solving nonlinear stochastic optimal control problems using evolutionary heuristic optimization," Jena Economic Research Papers 2013-051, Friedrich-Schiller-University Jena.
  10. Ivan Savin & Abiodun Egbetokun, 2013. "Emergence of Innovation Networks from R&D Cooperation with Endogenous Absorptive Capacity," Working Papers CEB 13-022, ULB -- Universite Libre de Bruxelles.
  11. D. Blueschke & V. Blueschke-Nikolaeva & Ivan Savin, 2012. "New Insights Into Optimal Control of Nonlinear Dynamic Econometric Models: Application of a Heuristic Approach," Jena Economic Research Papers 2012-008, Friedrich-Schiller-University Jena.
  12. Ivan Savin & Peter Winker, 2012. "Lasso-type and Heuristic Strategies in Model Selection and Forecasting," Jena Economic Research Papers 2012-055, Friedrich-Schiller-University Jena.
  13. Abiodun Egbetokun & Ivan Savin, 2012. "Absorptive Capacity and Innovation: When Is It Better to Cooperate?," Jena Economic Research Papers 2012-056, Friedrich-Schiller-University Jena.
  14. Ivan Savin & Peter Winker, 2011. "Heuristic model selection for leading indicators in Russia and Germany," Working Papers 046, COMISEF.
  15. Jana Brandt & Jürgen Meckl & Ivan Savin, 2011. "Factor-Biased Technical Change and Specialization Patterns," MAGKS Papers on Economics 201118, Philipps-Universität Marburg, Faculty of Business Administration and Economics, Department of Economics (Volkswirtschaftliche Abteilung).
  16. Ivan Savin & Peter Winker, 2010. "Heuristic Optimization Methods for Dynamic Panel Data Model Selection. Application on the Russian Innovative Performance," Working Papers 027, COMISEF.
  17. Ivan Savin, 2010. "A comparative study of the Lasso-type and heuristic model selection methods," Working Papers 042, COMISEF.
  18. Ivan Savin & Peter Winker, 2009. "Forecasting Russian Foreign Trade Comparative Advantages in the Context of a Potential WTO Accession," MAGKS Papers on Economics 200914, Philipps-Universität Marburg, Faculty of Business Administration and Economics, Department of Economics (Volkswirtschaftliche Abteilung).

Articles

  1. d’Andria, D. & Savin, I., 2018. "A Win-Win-Win? Motivating innovation in a knowledge economy with tax incentives," Technological Forecasting and Social Change, Elsevier, vol. 127(C), pages 38-56.
  2. Herrmann, J.K. & Savin, I., 2017. "Optimal policy identification: Insights from the German electricity market," Technological Forecasting and Social Change, Elsevier, vol. 122(C), pages 71-90.
  3. D. Blueschke & I. Savin, 2017. "No such thing as a perfect hammer: comparing different objective function specifications for optimal control," Central European Journal of Operations Research, Springer;Slovak Society for Operations Research;Hungarian Operational Research Society;Czech Society for Operations Research;Österr. Gesellschaft für Operations Research (ÖGOR);Slovenian Society Informatika - Section for Operational Research;Croatian Operational Research Society, vol. 25(2), pages 377-392, June.
  4. Savin, Ivan & Egbetokun, Abiodun, 2016. "Emergence of innovation networks from R&D cooperation with endogenous absorptive capacity," Journal of Economic Dynamics and Control, Elsevier, vol. 64(C), pages 82-103.
  5. Ivan Savin & Dmitri Blueschke, 2016. "Lost in Translation: Explicitly Solving Nonlinear Stochastic Optimal Control Problems Using the Median Objective Value," Computational Economics, Springer;Society for Computational Economics, vol. 48(2), pages 317-338, August.
  6. Marson, Marta & Savin, Ivan, 2015. "Ensuring Sustainable Access to Drinking Water in Sub Saharan Africa: Conflict Between Financial and Social Objectives," World Development, Elsevier, vol. 76(C), pages 26-39.
  7. Abiodun Egbetokun & Ivan Savin, 2014. "Absorptive capacity and innovation: when is it better to cooperate?," Journal of Evolutionary Economics, Springer, vol. 24(2), pages 399-420, April.
  8. Blueschke, D. & Blueschke-Nikolaeva, V. & Savin, I., 2013. "New insights into optimal control of nonlinear dynamic econometric models: Application of a heuristic approach," Journal of Economic Dynamics and Control, Elsevier, vol. 37(4), pages 821-837.
  9. Ivan Savin & Peter Winker, 2013. "Heuristic model selection for leading indicators in Russia and Germany," OECD Journal: Journal of Business Cycle Measurement and Analysis, OECD Publishing, Centre for International Research on Economic Tendency Surveys, vol. 2012(2), pages 67-89.
  10. Savin Ivan, 2013. "A Comparative Study of the Lasso-type and Heuristic Model Selection Methods," Journal of Economics and Statistics (Jahrbuecher fuer Nationaloekonomie und Statistik), De Gruyter, vol. 233(4), pages 526-549, August.
  11. Ivan Savin & Peter Winker, 2012. "Heuristic Optimization Methods for Dynamic Panel Data Model Selection: Application on the Russian Innovative Performance," Computational Economics, Springer;Society for Computational Economics, vol. 39(4), pages 337-363, April.
  12. Oleg Mariyev & Ivan Savin, 2010. "Factors of innovative activity in Russian regions: modeling and empirical analysis," Economy of region, Centre for Economic Security, Institute of Economics of Ural Branch of Russian Academy of Sciences, vol. 1(3), pages 235-244.
  13. Ivan Savin & Peter Winker, 2009. "Forecasting Russian Foreign Trade Comparative Advantages in the Context of a Potential WTO Accession," Central European Journal of Economic Modelling and Econometrics, CEJEME, vol. 1(2), pages 111-138, November.

Citations

Many of the citations below have been collected in an experimental project, CitEc, where a more detailed citation analysis can be found. These are citations from works listed in RePEc that could be analyzed mechanically. So far, only a minority of all works could be analyzed. See under "Corrections" how you can help improve the citation analysis.

Working papers

  1. Uwe Cantner & Ivan Savin & Simone Vannuccini, 2016. "Replicator dynamics in value chains: explaining some puzzles of market selection," Jena Economic Research Papers 2016-003, Friedrich-Schiller-University Jena.

    Cited by:

    1. Uwe Cantner & Simone Vannuccini, 2016. "Innovation and Lock-in," Jena Economic Research Papers 2016-018, Friedrich-Schiller-University Jena.
      • Uwe Cantner & Simone Vannuccini, 2017. "Innovation and lock-in," Chapters,in: The Elgar Companion to Innovation and Knowledge Creation, chapter 11, pages 165-181 Edward Elgar Publishing.

  2. Vladimir Korzinov & Ivan Savin, 2016. "Pervasive Enough? General Purpose Technologies as an Emergent Property," Working Papers of BETA 2016-49, Bureau d'Economie Théorique et Appliquée, UDS, Strasbourg.

    Cited by:

    1. Clifford Bekar & Kenneth Carlaw & Richard Lipsey, 2016. "General Purpose Technologies in Theory, Applications and Controversy: A Review," Discussion Papers dp16-15, Department of Economics, Simon Fraser University.

  3. Diego d'Andria & Ivan Savin, 2015. "Motivating innovation in a knowledge economy with tax incentives," Jena Economic Research Papers 2015-004, Friedrich-Schiller-University Jena.

    Cited by:

    1. Diego d'Andria, 2016. "Employed inventors, inter-firm mobility, bonus pay with multi-stage R&D processes, and optimal innovation policy," JRC Working Papers on Taxation & Structural Reforms 2016-02, Joint Research Centre (Seville site).
    2. d’Andria, D. & Savin, I., 2018. "A Win-Win-Win? Motivating innovation in a knowledge economy with tax incentives," Technological Forecasting and Social Change, Elsevier, vol. 127(C), pages 38-56.

  4. Dimitri Blueschke & Viktoria Blüschke-Nikolaeva & Ivan Savin, 2015. "Slow and steady wins the race: approximating Nash equilibria in nonlinear quadratic tracking games," Jena Economic Research Papers 2015-011, Friedrich-Schiller-University Jena.

    Cited by:

    1. D. Blueschke & I. Savin, 2017. "No such thing as a perfect hammer: comparing different objective function specifications for optimal control," Central European Journal of Operations Research, Springer;Slovak Society for Operations Research;Hungarian Operational Research Society;Czech Society for Operations Research;Österr. Gesellschaft für Operations Research (ÖGOR);Slovenian Society Informatika - Section for Operational Research;Croatian Operational Research Society, vol. 25(2), pages 377-392, June.

  5. Dmitri Blueschke & Ivan Savin, 2015. "No such thing like perfect hammer: comparing different objective function specifications for optimal control," Jena Economic Research Papers 2015-005, Friedrich-Schiller-University Jena.

    Cited by:

    1. Dimitri Blueschke & Viktoria Blüschke-Nikolaeva & Ivan Savin, 2015. "Slow and steady wins the race: approximating Nash equilibria in nonlinear quadratic tracking games," Jena Economic Research Papers 2015-011, Friedrich-Schiller-University Jena.

  6. Uwe Cantner & Ivan Savin, 2014. "Do Firms Benefit from Complementarity Effect in R&D and What Drives their R&D Strategy Choices?," Jena Economic Research Papers 2014-023, Friedrich-Schiller-University Jena.

    Cited by:

    1. Uwe Cantner, 2016. "Foundations of economic change—an extended Schumpeterian approach," Journal of Evolutionary Economics, Springer, vol. 26(4), pages 701-736, October.

  7. Ivan Savin & Dmitri Blueschke, 2013. "Solving nonlinear stochastic optimal control problems using evolutionary heuristic optimization," Jena Economic Research Papers 2013-051, Friedrich-Schiller-University Jena.

    Cited by:

    1. Herrmann, Johannes & Savin, Ivan, 2015. "Evolution of the electricity market in Germany: Identifying policy implications by an agent-based model," Annual Conference 2015 (Muenster): Economic Development - Theory and Policy 112959, Verein für Socialpolitik / German Economic Association.

  8. Ivan Savin & Abiodun Egbetokun, 2013. "Emergence of Innovation Networks from R&D Cooperation with Endogenous Absorptive Capacity," Working Papers CEB 13-022, ULB -- Universite Libre de Bruxelles.

    Cited by:

    1. Johannes Van Der Pol, 2015. "Structural dynamics of the French aerospace sector: A network analysis," Working Papers hal-01284993, HAL.
    2. Ivan Savin & Abiodun Egbetokun, 2013. "Emergence of Innovation Networks from R&D Cooperation with Endogenous Absorptive Capacity," Jena Economic Research Papers 2013-022, Friedrich-Schiller-University Jena.
    3. Johannes VAN DER POL, 2016. "Social interactions between innovating firms: an analytical review of the literature," Cahiers du GREThA 2016-23, Groupe de Recherche en Economie Théorique et Appliquée.
    4. Tur, Elena M. & Azagra-Caro, Joaquín M., 2018. "The coevolution of endogenous knowledge networks and knowledge creation," Journal of Economic Behavior & Organization, Elsevier, vol. 145(C), pages 424-434.
    5. Abiodun Egbetokun & Ivan Savin, 2012. "Absorptive Capacity and Innovation: When Is It Better to Cooperate?," Jena Economic Research Papers 2012-056, Friedrich-Schiller-University Jena.
    6. Matthias Mueller & Kristina Bogner & Tobias Buchmann & Muhamed Kudic, 2017. "The effect of structural disparities on knowledge diffusion in networks: an agent-based simulation model," Journal of Economic Interaction and Coordination, Springer;Society for Economic Science with Heterogeneous Interacting Agents, vol. 12(3), pages 613-634, October.

  9. D. Blueschke & V. Blueschke-Nikolaeva & Ivan Savin, 2012. "New Insights Into Optimal Control of Nonlinear Dynamic Econometric Models: Application of a Heuristic Approach," Jena Economic Research Papers 2012-008, Friedrich-Schiller-University Jena.

    Cited by:

    1. Ivan Savin & Abiodun Egbetokun, 2013. "Emergence of Innovation Networks from R&D Cooperation with Endogenous Absorptive Capacity," Jena Economic Research Papers 2013-022, Friedrich-Schiller-University Jena.
    2. Herrmann, J.K. & Savin, I., 2017. "Optimal policy identification: Insights from the German electricity market," Technological Forecasting and Social Change, Elsevier, vol. 122(C), pages 71-90.
    3. D. Blueschke & I. Savin, 2017. "No such thing as a perfect hammer: comparing different objective function specifications for optimal control," Central European Journal of Operations Research, Springer;Slovak Society for Operations Research;Hungarian Operational Research Society;Czech Society for Operations Research;Österr. Gesellschaft für Operations Research (ÖGOR);Slovenian Society Informatika - Section for Operational Research;Croatian Operational Research Society, vol. 25(2), pages 377-392, June.
    4. Herrmann, Johannes & Savin, Ivan, 2015. "Evolution of the electricity market in Germany: Identifying policy implications by an agent-based model," Annual Conference 2015 (Muenster): Economic Development - Theory and Policy 112959, Verein für Socialpolitik / German Economic Association.
    5. Abiodun Egbetokun & Ivan Savin, 2012. "Absorptive Capacity and Innovation: When Is It Better to Cooperate?," Jena Economic Research Papers 2012-056, Friedrich-Schiller-University Jena.
    6. Dimitri Blueschke & Viktoria Blüschke-Nikolaeva & Ivan Savin, 2015. "Slow and steady wins the race: approximating Nash equilibria in nonlinear quadratic tracking games," Jena Economic Research Papers 2015-011, Friedrich-Schiller-University Jena.
    7. Dmitri Blueschke & Ivan Savin, 2015. "No such thing like perfect hammer: comparing different objective function specifications for optimal control," Jena Economic Research Papers 2015-005, Friedrich-Schiller-University Jena.
    8. Ivan Savin & Dmitri Blueschke, 2013. "Solving nonlinear stochastic optimal control problems using evolutionary heuristic optimization," Jena Economic Research Papers 2013-051, Friedrich-Schiller-University Jena.
    9. Maurizio Bovi & Roy Cerqueti, 2016. "Forecasting macroeconomic fundamentals in economic crises," Annals of Operations Research, Springer, vol. 247(2), pages 451-469, December.
    10. Ivan Savin & Dmitri Blueschke, 2016. "Lost in Translation: Explicitly Solving Nonlinear Stochastic Optimal Control Problems Using the Median Objective Value," Computational Economics, Springer;Society for Computational Economics, vol. 48(2), pages 317-338, August.

  10. Ivan Savin & Peter Winker, 2012. "Lasso-type and Heuristic Strategies in Model Selection and Forecasting," Jena Economic Research Papers 2012-055, Friedrich-Schiller-University Jena.

    Cited by:

    1. Ivan Savin, 2010. "A comparative study of the Lasso-type and heuristic model selection methods," Working Papers 042, COMISEF.
    2. Kascha, Christian & Trenkler, Carsten, 2015. "Forecasting VARs, model selection, and shrinkage," Working Papers 15-07, University of Mannheim, Department of Economics.

  11. Abiodun Egbetokun & Ivan Savin, 2012. "Absorptive Capacity and Innovation: When Is It Better to Cooperate?," Jena Economic Research Papers 2012-056, Friedrich-Schiller-University Jena.

    Cited by:

    1. Mauro Caminati, 2016. "Knowledge specialization and R&D collaboration," Journal of Evolutionary Economics, Springer, vol. 26(2), pages 247-270, May.
    2. Ivan Savin & Abiodun Egbetokun, 2013. "Emergence of Innovation Networks from R&D Cooperation with Endogenous Absorptive Capacity," Jena Economic Research Papers 2013-022, Friedrich-Schiller-University Jena.
    3. D. Blueschke & I. Savin, 2017. "No such thing as a perfect hammer: comparing different objective function specifications for optimal control," Central European Journal of Operations Research, Springer;Slovak Society for Operations Research;Hungarian Operational Research Society;Czech Society for Operations Research;Österr. Gesellschaft für Operations Research (ÖGOR);Slovenian Society Informatika - Section for Operational Research;Croatian Operational Research Society, vol. 25(2), pages 377-392, June.
    4. Diego d'Andria & Ivan Savin, 2015. "Motivating innovation in a knowledge economy with tax incentives," Jena Economic Research Papers 2015-004, Friedrich-Schiller-University Jena.
    5. Uwe Cantner & Ivan Savin, 2014. "Do Firms Benefit from Complementarity Effect in R&D and What Drives their R&D Strategy Choices?," Jena Economic Research Papers 2014-023, Friedrich-Schiller-University Jena.
    6. Ivan Savin & Dmitri Blueschke, 2013. "Solving nonlinear stochastic optimal control problems using evolutionary heuristic optimization," Jena Economic Research Papers 2013-051, Friedrich-Schiller-University Jena.
    7. Ivan Savin & Dmitri Blueschke, 2016. "Lost in Translation: Explicitly Solving Nonlinear Stochastic Optimal Control Problems Using the Median Objective Value," Computational Economics, Springer;Society for Computational Economics, vol. 48(2), pages 317-338, August.
    8. d’Andria, D. & Savin, I., 2018. "A Win-Win-Win? Motivating innovation in a knowledge economy with tax incentives," Technological Forecasting and Social Change, Elsevier, vol. 127(C), pages 38-56.

  12. Ivan Savin & Peter Winker, 2011. "Heuristic model selection for leading indicators in Russia and Germany," Working Papers 046, COMISEF.

    Cited by:

    1. Anna Staszewska-Bystrova & Peter Winker, 2014. "Measuring Forecast Uncertainty of Corporate Bond Spreads by Bonferroni-Type Prediction Bands," Central European Journal of Economic Modelling and Econometrics, CEJEME, vol. 6(2), pages 89-104, June.
    2. Staszewska-Bystrova Anna, 2013. "Modified Scheffé’s Prediction Bands," Journal of Economics and Statistics (Jahrbuecher fuer Nationaloekonomie und Statistik), De Gruyter, vol. 233(5-6), pages 680-690, October.
    3. Baragona Roberto & Cucina Domenico, 2013. "Multivariate Self-Exciting Threshold Autoregressive Modeling by Genetic Algorithms," Journal of Economics and Statistics (Jahrbuecher fuer Nationaloekonomie und Statistik), De Gruyter, vol. 233(1), pages 3-21, February.

  13. Ivan Savin & Peter Winker, 2010. "Heuristic Optimization Methods for Dynamic Panel Data Model Selection. Application on the Russian Innovative Performance," Working Papers 027, COMISEF.

    Cited by:

    1. Hagemann, Harald & Kufenko, Vadim, 2014. "The political Kuznets curve for Russia: Income inequality, rent seeking regional elites and empirical determinants of protests during 2011/2012," Violette Reihe: Schriftenreihe des Promotionsschwerpunkts "Globalisierung und Beschäftigung" 39/2013, University of Hohenheim, Carl von Ossietzky University Oldenburg, Evangelisches Studienwerk.
    2. Blueschke, D. & Blueschke-Nikolaeva, V. & Savin, I., 2013. "New insights into optimal control of nonlinear dynamic econometric models: Application of a heuristic approach," Journal of Economic Dynamics and Control, Elsevier, vol. 37(4), pages 821-837.
    3. Ivan Savin, 2010. "A comparative study of the Lasso-type and heuristic model selection methods," Working Papers 042, COMISEF.
    4. Marianna Lyra, 2010. "Heuristic Strategies in Finance – An Overview," Working Papers 045, COMISEF.
    5. Herrmann, Johannes & Savin, Ivan, 2015. "Evolution of the electricity market in Germany: Identifying policy implications by an agent-based model," Annual Conference 2015 (Muenster): Economic Development - Theory and Policy 112959, Verein für Socialpolitik / German Economic Association.
    6. Ivan Savin & Peter Winker, 2012. "Heuristic Optimization Methods for Dynamic Panel Data Model Selection: Application on the Russian Innovative Performance," Computational Economics, Springer;Society for Computational Economics, vol. 39(4), pages 337-363, April.
    7. Teplykh, Grigorii & Galimardanov, Amal, 2017. "Modeling of innovative investment in Russian regions," Applied Econometrics, Publishing House "SINERGIA PRESS", vol. 46, pages 104-125.
    8. Jens K. Perret, 2016. "A Spatial Knowledge Production Function Approach for the Regions of the Russian Federation," EIIW Discussion paper disbei217, Universitätsbibliothek Wuppertal, University Library.
    9. Sachs, Andreas & Schleer, Frauke, 2013. "Labour market performance in OECD countries: A comprehensive empirical modelling approach of institutional interdependencies," ZEW Discussion Papers 13-040, ZEW - Zentrum für Europäische Wirtschaftsforschung / Center for European Economic Research.
    10. Jens K. Perret, 2016. "An Alternative Approach towards the Knowledge Production Function on a Regional Level - Applications for the USA and Russia," Schumpeter Discussion Papers SDP16003, Universitätsbibliothek Wuppertal, University Library.

  14. Ivan Savin, 2010. "A comparative study of the Lasso-type and heuristic model selection methods," Working Papers 042, COMISEF.

    Cited by:

    1. Ivan Savin & Peter Winker, 2012. "Heuristic Optimization Methods for Dynamic Panel Data Model Selection: Application on the Russian Innovative Performance," Computational Economics, Springer;Society for Computational Economics, vol. 39(4), pages 337-363, April.

  15. Ivan Savin & Peter Winker, 2009. "Forecasting Russian Foreign Trade Comparative Advantages in the Context of a Potential WTO Accession," MAGKS Papers on Economics 200914, Philipps-Universität Marburg, Faculty of Business Administration and Economics, Department of Economics (Volkswirtschaftliche Abteilung).

    Cited by:

    1. Svatoš, M. & Smutka, L. & Ishchukova, N. & Vasilyonok, V., 2014. "Russian Agrarian Foreign Trade Development – the Impact of Selected Factors," AGRIS on-line Papers in Economics and Informatics, Czech University of Life Sciences Prague, Faculty of Economics and Management, vol. 6(3), September.
    2. Ivan Savin & Peter Winker, 2012. "Heuristic Optimization Methods for Dynamic Panel Data Model Selection: Application on the Russian Innovative Performance," Computational Economics, Springer;Society for Computational Economics, vol. 39(4), pages 337-363, April.
    3. Ishchukova, N. & Smutka, L., 2013. "Comparative Advantage: Products Mapping of the Russian Agricultural Exports," AGRIS on-line Papers in Economics and Informatics, Czech University of Life Sciences Prague, Faculty of Economics and Management, vol. 5(3), September.

Articles

  1. Savin, Ivan & Egbetokun, Abiodun, 2016. "Emergence of innovation networks from R&D cooperation with endogenous absorptive capacity," Journal of Economic Dynamics and Control, Elsevier, vol. 64(C), pages 82-103.
    See citations under working paper version above.
  2. Ivan Savin & Dmitri Blueschke, 2016. "Lost in Translation: Explicitly Solving Nonlinear Stochastic Optimal Control Problems Using the Median Objective Value," Computational Economics, Springer;Society for Computational Economics, vol. 48(2), pages 317-338, August.

    Cited by:

    1. Herrmann, J.K. & Savin, I., 2017. "Optimal policy identification: Insights from the German electricity market," Technological Forecasting and Social Change, Elsevier, vol. 122(C), pages 71-90.
    2. D. Blueschke & I. Savin, 2017. "No such thing as a perfect hammer: comparing different objective function specifications for optimal control," Central European Journal of Operations Research, Springer;Slovak Society for Operations Research;Hungarian Operational Research Society;Czech Society for Operations Research;Österr. Gesellschaft für Operations Research (ÖGOR);Slovenian Society Informatika - Section for Operational Research;Croatian Operational Research Society, vol. 25(2), pages 377-392, June.

  3. Marson, Marta & Savin, Ivan, 2015. "Ensuring Sustainable Access to Drinking Water in Sub Saharan Africa: Conflict Between Financial and Social Objectives," World Development, Elsevier, vol. 76(C), pages 26-39.

    Cited by:

    1. Carlitz, Ruth D., 2017. "Money Flows, Water Trickles: Understanding Patterns of Decentralized Water Provision in Tanzania," World Development, Elsevier, vol. 93(C), pages 16-30.
    2. Schwartz, Klaas & Tutusaus, Mireia & Savelli, Elisa, 2017. "Water for the urban poor: Balancing financial and social objectives through service differentiation in the Kenyan water sector," Utilities Policy, Elsevier, vol. 48(C), pages 22-31.
    3. Cieslik, Katarzyna, 2016. "Moral Economy Meets Social Enterprise Community-Based Green Energy Project in Rural Burundi," World Development, Elsevier, vol. 83(C), pages 12-26.
    4. Daniel Camos-Daurella & Antonio Estache, 2017. "Regulating Water an Sanitation Network Services. Accounting for Institutional and Informational Constraints," Working Papers ECARES ECARES 2017-28, ULB -- Universite Libre de Bruxelles.

  4. Abiodun Egbetokun & Ivan Savin, 2014. "Absorptive capacity and innovation: when is it better to cooperate?," Journal of Evolutionary Economics, Springer, vol. 24(2), pages 399-420, April.
    See citations under working paper version above.
  5. Blueschke, D. & Blueschke-Nikolaeva, V. & Savin, I., 2013. "New insights into optimal control of nonlinear dynamic econometric models: Application of a heuristic approach," Journal of Economic Dynamics and Control, Elsevier, vol. 37(4), pages 821-837.
    See citations under working paper version above.
  6. Ivan Savin & Peter Winker, 2013. "Heuristic model selection for leading indicators in Russia and Germany," OECD Journal: Journal of Business Cycle Measurement and Analysis, OECD Publishing, Centre for International Research on Economic Tendency Surveys, vol. 2012(2), pages 67-89.
    See citations under working paper version above.
  7. Savin Ivan, 2013. "A Comparative Study of the Lasso-type and Heuristic Model Selection Methods," Journal of Economics and Statistics (Jahrbuecher fuer Nationaloekonomie und Statistik), De Gruyter, vol. 233(4), pages 526-549, August. See citations under working paper version above.
  8. Ivan Savin & Peter Winker, 2012. "Heuristic Optimization Methods for Dynamic Panel Data Model Selection: Application on the Russian Innovative Performance," Computational Economics, Springer;Society for Computational Economics, vol. 39(4), pages 337-363, April. See citations under working paper version above.
  9. Ivan Savin & Peter Winker, 2009. "Forecasting Russian Foreign Trade Comparative Advantages in the Context of a Potential WTO Accession," Central European Journal of Economic Modelling and Econometrics, CEJEME, vol. 1(2), pages 111-138, November.
    See citations under working paper version above.

More information

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Statistics

Access and download statistics for all items

Co-authorship network on CollEc

NEP Fields

NEP is an announcement service for new working papers, with a weekly report in each of many fields. This author has had 23 papers announced in NEP. These are the fields, ordered by number of announcements, along with their dates. If the author is listed in the directory of specialists for this field, a link is also provided.
  1. NEP-INO: Innovation (11) 2010-04-17 2012-10-27 2013-06-04 2014-11-07 2015-02-28 2016-02-17 2016-02-23 2016-03-10 2016-03-23 2016-05-21 2016-11-20. Author is listed
  2. NEP-CMP: Computational Economics (9) 2010-04-17 2010-09-03 2011-02-05 2011-02-26 2012-03-21 2012-10-20 2013-06-04 2013-12-29 2016-02-17. Author is listed
  3. NEP-ORE: Operations Research (7) 2010-04-17 2010-09-03 2012-10-20 2013-12-29 2015-05-22 2015-07-18 2016-02-17. Author is listed
  4. NEP-CSE: Economics of Strategic Management (5) 2009-03-22 2011-05-14 2012-10-27 2013-06-04 2014-11-07. Author is listed
  5. NEP-KNM: Knowledge Management & Knowledge Economy (5) 2012-10-27 2013-06-04 2014-11-07 2015-02-28 2016-11-20. Author is listed
  6. NEP-ECM: Econometrics (4) 2010-04-17 2010-09-03 2011-02-05 2012-10-20
  7. NEP-ENE: Energy Economics (4) 2016-02-17 2016-03-23 2016-03-23 2016-05-21
  8. NEP-TID: Technology & Industrial Dynamics (4) 2012-10-27 2014-11-07 2016-02-23 2016-03-10
  9. NEP-BEC: Business Economics (3) 2012-10-27 2016-02-23 2016-03-10
  10. NEP-FOR: Forecasting (3) 2011-02-05 2011-02-26 2012-10-20
  11. NEP-MAC: Macroeconomics (3) 2013-12-29 2015-05-22 2015-07-18
  12. NEP-REG: Regulation (3) 2016-02-17 2016-03-23 2016-05-21
  13. NEP-SBM: Small Business Management (3) 2012-10-27 2013-06-04 2014-11-07
  14. NEP-CIS: Confederation of Independent States (2) 2009-03-22 2012-10-20
  15. NEP-EUR: Microeconomic European Issues (2) 2014-11-07 2016-03-23
  16. NEP-COM: Industrial Competition (1) 2016-03-10
  17. NEP-EVO: Evolutionary Economics (1) 2016-02-23
  18. NEP-GTH: Game Theory (1) 2015-07-18
  19. NEP-HME: Heterodox Microeconomics (1) 2016-02-17
  20. NEP-HPE: History & Philosophy of Economics (1) 2015-07-18
  21. NEP-INT: International Trade (1) 2011-05-14
  22. NEP-NET: Network Economics (1) 2013-06-04
  23. NEP-NEU: Neuroeconomics (1) 2012-10-27
  24. NEP-OPM: Open Economy Macroeconomics (1) 2011-05-14
  25. NEP-PBE: Public Economics (1) 2015-02-28
  26. NEP-TRA: Transition Economics (1) 2009-03-22
  27. NEP-URE: Urban & Real Estate Economics (1) 2013-06-04

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