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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

(98%) 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)

(1%) 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)

(1%) 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. 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.
  2. 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.
  3. 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.
  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," VfS 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 & 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.
  10. 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.
  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.
  12. 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.
  13. 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.
  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, 2010. "A comparative study of the Lasso-type and heuristic model selection methods," Working Papers 042, COMISEF.
  17. Ivan Savin & Peter Winker, 2010. "Heuristic Optimization Methods for Dynamic Panel Data Model Selection. Application on the Russian Innovative Performance," Working Papers 027, 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. Juana Castro & Stefan Drews & Filippos Exadaktylos & Joël Foramitti & Franziska Klein & Théo Konc & Ivan Savin & Jeroen van den Bergh, 2020. "A review of agent‐based modeling of climate‐energy policy," Wiley Interdisciplinary Reviews: Climate Change, John Wiley & Sons, vol. 11(4), July.
  2. Delgado Castillo, Ángela & van den Bergh, Jeroen C.J.M. & Savin, Ivan & Sarto i Monteys, Víctor, 2020. "Cost-benefit analysis of conservation policy: The red palm weevil in Catalonia, Spain," Ecological Economics, Elsevier, vol. 167(C).
  3. Ivan Savin & Stefan Drews & Sara Maestre-Andrés & Jeroen Bergh, 2020. "Public views on carbon taxation and its fairness: a computational-linguistics analysis," Climatic Change, Springer, vol. 162(4), pages 2107-2138, October.
  4. Uwe Cantner & Ivan Savin & Simone Vannuccini, 2019. "Replicator dynamics in value chains: explaining some puzzles of market selection," Industrial and Corporate Change, Oxford University Press, vol. 28(3), pages 589-611.
  5. Drews, Stefan & Savin, Ivan & van den Bergh, Jeroen C.J.M., 2019. "Opinion Clusters in Academic and Public Debates on Growth-vs-Environment," Ecological Economics, Elsevier, vol. 157(C), pages 141-155.
  6. Ivan Savin & Oleg Mariev & Andrey Pushkarev, 2019. "Survival of the Fittest? Measuring the Strength of Market Selection on the Example of the Urals Federal District," HSE Economic Journal, National Research University Higher School of Economics, vol. 23(1), pages 90-117.
  7. Savin Ivan, 2019. "Luis C. Corchón and Marco A. Marini (eds.), Handbook of Game Theory and Industrial Organization, Volume I Theory.: Book review," Journal of Economics and Statistics (Jahrbuecher fuer Nationaloekonomie und Statistik), De Gruyter, vol. 239(4), pages 761-764, August.
  8. Korzinov, Vladimir & Savin, Ivan, 2018. "General Purpose Technologies as an emergent property," Technological Forecasting and Social Change, Elsevier, vol. 129(C), pages 88-104.
  9. 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.
  10. Savin Ivan & Blueschke Dmitri & Blueschke-Nikolaeva Viktoria, 2018. "Slow and Steady Wins the Race: Approximating Nash Equilibria in Nonlinear Quadratic Tracking Games Steter Tropfen höhlt den Stein: Approximation von Nash Gleichgewichten in Nicht-linearen Dynamischen ," Journal of Economics and Statistics (Jahrbuecher fuer Nationaloekonomie und Statistik), De Gruyter, vol. 238(6), pages 541-569, October.
  11. Jürgen Meckl & Ivan Savin, 2018. "Factor-Biased Technical Change and Specialization Patterns," Central European Journal of Economic Modelling and Econometrics, CEJEME, vol. 10(2), pages 75-100, June.
  12. 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.
  13. 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.
  14. 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.
  15. 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.
  16. 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.
  17. 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.
  18. 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.
  19. 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.
  20. 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.
  21. 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.
  22. 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.
  23. 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. 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, 2018. "General purpose technologies in theory, application and controversy: a review," Journal of Evolutionary Economics, Springer, vol. 28(5), pages 1005-1033, December.

  2. 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.

    Cited by:

    1. Korzinov, Vladimir & Savin, Ivan, 2018. "General Purpose Technologies as an emergent property," Technological Forecasting and Social Change, Elsevier, vol. 129(C), pages 88-104.
    2. Julia Kurek & Justyna Martyniuk-Pęczek, 2020. "Looking for the Optimal Location of an Eco-District within a Metropolitan Area: The Case of Tricity Metropolitan Area," Sustainability, MDPI, Open Access Journal, vol. 12(19), pages 1-22, September.
    3. Tolliver, Clarence & Keeley, Alexander Ryota & Managi, Shunsuke, 2020. "Policy targets behind green bonds for renewable energy: Do climate commitments matter?," Technological Forecasting and Social Change, Elsevier, vol. 157(C).
    4. Perri, Cecilia & Giglio, Carlo & Corvello, Vincenzo, 2020. "Smart users for smart technologies: Investigating the intention to adopt smart energy consumption behaviors," Technological Forecasting and Social Change, Elsevier, vol. 155(C).

  3. 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.
    2. Uwe Cantner & Holger Graf & Ekaterina Prytkova & Simone Vannuccini, 2018. "The Compositional Nature of Productivity and Innovation Slowdown," Jena Economic Research Papers 2018-006, Friedrich-Schiller-University Jena.
    3. Shungo Sakaki, 2019. "Equality in Income and Sustainability in Economic Growth: Agent-Based Simulations on OECD Data," Sustainability, MDPI, Open Access Journal, vol. 11(20), pages 1-32, October.
    4. Shungo Sakaki, 2018. "A method of building simulation model for organizational decision-making and inter-organizational control," Evolutionary and Institutional Economics Review, Springer, vol. 15(2), pages 289-313, December.
    5. Shungo Sakaki, 2017. "Income distribution management to sustain long-term economic growth: does the equalization of income distribution contribute to long-term economic growth?," Evolutionary and Institutional Economics Review, Springer, vol. 14(2), pages 363-395, December.

  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.

    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.
    3. Minna Saunila & Juhani Ukko & Tero Rantala & Mina Nasiri & Hannu Rantanen, 2020. "Preceding operational capabilities as antecedents for productivity and innovation performance," Journal of Business Economics, Springer, vol. 90(4), pages 537-561, May.

  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.

    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.

  6. 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.

  7. 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.

  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. Michael P. Schlaile & Johannes Zeman & Matthias Mueller, 2018. "It’s a match! Simulating compatibility-based learning in a network of networks," Journal of Evolutionary Economics, Springer, vol. 28(5), pages 1111-1150, December.
    3. 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.
    4. Johannes VAN DER POL, 2016. "Social interactions between innovating firms: an analytical review of the literature," Cahiers du GREThA (2007-2019) 2016-23, Groupe de Recherche en Economie Théorique et Appliquée (GREThA).
    5. 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.
    6. Bogner, Kristina, 2019. "Knowledge networks in the German bioeconomy: Network structure of publicly funded R&D networks," Hohenheim Discussion Papers in Business, Economics and Social Sciences 03-2019, University of Hohenheim, Faculty of Business, Economics and Social Sciences.
    7. 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.
    8. 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. 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," VfS Annual Conference 2015 (Muenster): Economic Development - Theory and Policy 112959, Verein für Socialpolitik / German Economic Association.

  10. 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. Oleg S. Mariev & Karina M. Nagieva & Viktoria L. Simonova, 2020. "Managing innovation activity factors in Russian regions through econometric modeling," Upravlenets, Ural State University of Economics, vol. 11(1), pages 57-69, March.
    2. Michael P. Schlaile & Johannes Zeman & Matthias Mueller, 2018. "It’s a match! Simulating compatibility-based learning in a network of networks," Journal of Evolutionary Economics, Springer, vol. 28(5), pages 1111-1150, December.
    3. 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.
    4. 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. 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. Medase, Kehinde, 2019. "The Impact of the Heterogeneity of Employees’ Qualifications on Firm-level Innovation Evidence from Nigerian Firms," VfS Annual Conference 2019 (Leipzig): 30 Years after the Fall of the Berlin Wall - Democracy and Market Economy 203563, Verein für Socialpolitik / German Economic Association.
    7. 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.
    8. Ángela González-Moreno & Pablo Ruiz-Palomino & Francisco J. Sáez-Martínez, 2019. "Can CEOs’ Corporate Social Responsibility Orientation Improve Firms’ Cooperation in International Scenarios?," Sustainability, MDPI, Open Access Journal, vol. 11(24), pages 1-14, December.
    9. 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.
    10. 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.
    11. 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.
    12. 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.
    13. Yingkai Tang & Yaozhi Chen & Kun Wang & He Xu & Xiaoqi Yi, 2020. "An Analysis on the Spatial Effect of Absorptive Capacity on Regional Innovation Ability Based on Empirical Research in China," Sustainability, MDPI, Open Access Journal, vol. 12(7), pages 1-23, April.

  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.

    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," VfS 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.

  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.

    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.

  13. 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.

  14. 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).

    Cited by:

    1. Jürgen Meckl & Ivan Savin, 2018. "Factor-Biased Technical Change and Specialization Patterns," Central European Journal of Economic Modelling and Econometrics, CEJEME, vol. 10(2), pages 75-100, June.

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

    Cited by:

    1. Oleg S. Mariev & Karina M. Nagieva & Viktoria L. Simonova, 2020. "Managing innovation activity factors in Russian regions through econometric modeling," Upravlenets, Ural State University of Economics, vol. 11(1), pages 57-69, March.
    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.

  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.

    Cited by:

    1. Oleg S. Mariev & Karina M. Nagieva & Viktoria L. Simonova, 2020. "Managing innovation activity factors in Russian regions through econometric modeling," Upravlenets, Ural State University of Economics, vol. 11(1), pages 57-69, March.
    2. 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.
    3. 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.
    4. Ivan Savin, 2010. "A comparative study of the Lasso-type and heuristic model selection methods," Working Papers 042, COMISEF.
    5. Marianna Lyra, 2010. "Heuristic Strategies in Finance – An Overview," Working Papers 045, COMISEF.
    6. Herrmann, Johannes & Savin, Ivan, 2015. "Evolution of the electricity market in Germany: Identifying policy implications by an agent-based model," VfS Annual Conference 2015 (Muenster): Economic Development - Theory and Policy 112959, Verein für Socialpolitik / German Economic Association.
    7. 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.
    8. Teplykh, Grigorii & Galimardanov, Amal, 2017. "Modeling of innovative investment in Russian regions," Applied Econometrics, Russian Presidential Academy of National Economy and Public Administration (RANEPA), vol. 46, pages 104-125.
    9. Andreas Sachs & Frauke Schleer, 2013. "Labour Market Performance in OECD Countries: A Comprehensive Empirical Modelling Approach of Institutional Interdependencies. WWWforEurope Working Paper No. 7," WIFO Studies, WIFO, number 46851, October.
    10. 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.
    11. 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 - Leibniz Centre for European Economic Research.
    12. Jens K. Perret, 2019. "Re-Evaluating the Knowledge Production Function for the Regions of the Russian Federation," Journal of the Knowledge Economy, Springer;Portland International Center for Management of Engineering and Technology (PICMET), vol. 10(2), pages 670-694, June.
    13. 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. Delgado Castillo, Ángela & van den Bergh, Jeroen C.J.M. & Savin, Ivan & Sarto i Monteys, Víctor, 2020. "Cost-benefit analysis of conservation policy: The red palm weevil in Catalonia, Spain," Ecological Economics, Elsevier, vol. 167(C).

  17. 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), pages 1-13, 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. Natalia Ishchukova & Luboš Smutka, 2013. "Revealed comparative advantage of Russian agricultural exports," Acta Universitatis Agriculturae et Silviculturae Mendelianae Brunensis, Mendel University Press, vol. 61(4), pages 941-952.
    4. 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), pages 1-12, September.
    5. Zeynep KAPLAN & Feride DOÐANER GÖNEL, 2018. "Non-oil trade of Turkey and Russia in the Middle East: Trends and potential," Journal of Economics Library, KSP Journals, vol. 5(1), pages 42-58, March.

Articles

  1. Uwe Cantner & Ivan Savin & Simone Vannuccini, 2019. "Replicator dynamics in value chains: explaining some puzzles of market selection," Industrial and Corporate Change, Oxford University Press, vol. 28(3), pages 589-611.
    See citations under working paper version above.
  2. Drews, Stefan & Savin, Ivan & van den Bergh, Jeroen C.J.M., 2019. "Opinion Clusters in Academic and Public Debates on Growth-vs-Environment," Ecological Economics, Elsevier, vol. 157(C), pages 141-155.

    Cited by:

    1. Akbulut, Bengi & Demaria, Federico & Gerber, Julien-François & Martínez-Alier, Joan, 2019. "Who promotes sustainability? Five theses on the relationships between the degrowth and the environmental justice movements," Ecological Economics, Elsevier, vol. 165(C), pages 1-1.
    2. Tomaselli, Maria Fernanda & Sheppard, Stephen R.J. & Kozak, Robert & Gifford, Robert, 2019. "What do Canadians think about economic growth, prosperity and the environment?," Ecological Economics, Elsevier, vol. 161(C), pages 41-49.

  3. Ivan Savin & Oleg Mariev & Andrey Pushkarev, 2019. "Survival of the Fittest? Measuring the Strength of Market Selection on the Example of the Urals Federal District," HSE Economic Journal, National Research University Higher School of Economics, vol. 23(1), pages 90-117.

    Cited by:

    1. Andrey Pushkarev & Anna Sennikova & Oleg Mariev, 2020. "Econometric Estimation Of Market Selection In Russia: Different Performance Indicators," Proceedings of Economics and Finance Conferences 10913104, International Institute of Social and Economic Sciences.

  4. Korzinov, Vladimir & Savin, Ivan, 2018. "General Purpose Technologies as an emergent property," Technological Forecasting and Social Change, Elsevier, vol. 129(C), pages 88-104.

    Cited by:

    1. Liu, Yong & Du, Jun-liang & Yang, Jin-bi & Qian, Wu-yong & Forrest, Jeffrey Yi-Lin, 2019. "An incentive mechanism for general purpose technologies R&D based on the concept of super-conflict equilibrium: Empirical evidence from nano industrial technology in China," Technological Forecasting and Social Change, Elsevier, vol. 147(C), pages 185-197.

  5. 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.

    Cited by:

    1. Oleg S. Mariev & Karina M. Nagieva & Viktoria L. Simonova, 2020. "Managing innovation activity factors in Russian regions through econometric modeling," Upravlenets, Ural State University of Economics, vol. 11(1), pages 57-69, March.
    2. Babutsidze, Zakaria, 2018. "The rise of electronic social networks and implications for advertisers," Technological Forecasting and Social Change, Elsevier, vol. 137(C), pages 27-39.
    3. Diego d’Andria, 2019. "Tax policy and entrepreneurial entry with information asymmetry and learning," International Tax and Public Finance, Springer;International Institute of Public Finance, vol. 26(5), pages 1211-1229, October.

  6. Jürgen Meckl & Ivan Savin, 2018. "Factor-Biased Technical Change and Specialization Patterns," Central European Journal of Economic Modelling and Econometrics, CEJEME, vol. 10(2), pages 75-100, June.
    See citations under working paper version above.
  7. 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.
    See citations under working paper version above.
  8. 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. Hans M. Amman & Marco Paolo Tucci, 2018. "How active is active learning: value function method vs an approximation method," Department of Economics University of Siena 788, Department of Economics, University of Siena.
    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.

  9. 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.
  10. 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. Jonathan Chapman, 2020. "Extension of the Franchise and Government Expenditure on Public Goods: Evidence from Nineteenth-Century England," Working Papers 20200045, New York University Abu Dhabi, Department of Social Science, revised Mar 2020.
    2. 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.
    3. Antonio Estache, 2020. "Infrastructure “Privatization”: When Ideology Meets Evidence," Working Papers ECARES 2020-28, ULB -- Universite Libre de Bruxelles.
    4. 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.
    5. 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.
    6. 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.
    7. Mohammed Aminu Sualihu & M. Arifur Rahman & Zakiya Tofik-Abu, 2017. "The Payment Behavior of Water Utility Customers in the Greater Accra Region of Ghana: An Empirical Analysis," SAGE Open, , vol. 7(3), pages 21582440177, September.

  11. 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.
  12. 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.
  13. 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.
  14. 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.
  15. 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.
  16. 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.

    Cited by:

    1. Oleg S. Mariev & Karina M. Nagieva & Viktoria L. Simonova, 2020. "Managing innovation activity factors in Russian regions through econometric modeling," Upravlenets, Ural State University of Economics, vol. 11(1), pages 57-69, March.
    2. Egor Leonidovich Domnich, 2018. "About Innovative Component of Input and Output in Russian Industry," Spatial Economics=Prostranstvennaya Ekonomika, Economic Research Institute, Far Eastern Branch, Russian Academy of Sciences (Khabarovsk, Russia), issue 1, pages 170-182.
    3. Luigi Aldieri & Maxim Nikolaevich Kotsemir & Concetto Paolo Vinci, 2018. "Knowledge spillover effects: empirical evidence from Russian regions," Quality & Quantity: International Journal of Methodology, Springer, vol. 52(5), pages 2111-2132, September.

  17. 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

Research fields, statistics, top rankings, if available.

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 24 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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