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Tomasz Aleksander Makarewicz

Personal Details

First Name:Tomasz
Middle Name:Aleksander
Last Name:Makarewicz
Suffix:
RePEc Short-ID:pma2318
[This author has chosen not to make the email address public]
https://sites.google.com/site/tamakarewicz/

Affiliation

Lehrstuhl für Volkswirtschaftslehre, insbesondere Wirtschaftspolitik
Volkswirtschaftslehre
Otto-Friedrich Universität Bamberg

Bamberg, Germany
http://www.uni-bamberg.de/vwl-wipo/
RePEc:edi:lpbamde (more details at EDIRC)

Research output

as
Jump to: Working papers Articles

Working papers

  1. Anufriev, M. & Hommes, C.H. & Makarewicz, T.A., 2015. "Simple Forecasting Heuristics that Make us Smart: Evidence from Different Market Experiments," CeNDEF Working Papers 15-07, Universiteit van Amsterdam, Center for Nonlinear Dynamics in Economics and Finance.
  2. Te Bao & Cars Hommes & Tomasz Makarewicz, 2015. "Bubble Formation and (In)Efficient Markets in Learning-to-Forecast and -optimise Experiments," Tinbergen Institute Discussion Papers 15-107/II, Tinbergen Institute.
  3. Makarewicz, T.A., 2015. "Networks of Heterogeneous Expectations in an Asset Pricing Market," CeNDEF Working Papers 15-08, Universiteit van Amsterdam, Center for Nonlinear Dynamics in Economics and Finance.
  4. Hommes, C.H. & Makarewicz, T.A. & Massaro, D. & Smits, T., 2015. "Genetic Algorithm Learning in a New Keynesian Macroeconomic Setup," CeNDEF Working Papers 15-01, Universiteit van Amsterdam, Center for Nonlinear Dynamics in Economics and Finance.

Articles

  1. Tomasz Makarewicz, 2017. "Contrarian Behavior, Information Networks and Heterogeneous Expectations in an Asset Pricing Model," Computational Economics, Springer;Society for Computational Economics, vol. 50(2), pages 231-279, August.
  2. Cars Hommes & Tomasz Makarewicz & Domenico Massaro & Tom Smits, 2017. "Genetic algorithm learning in a New Keynesian macroeconomic setup," Journal of Evolutionary Economics, Springer, vol. 27(5), pages 1133-1155, November.
  3. Te Bao & Cars Hommes & Tomasz Makarewicz, 2017. "Bubble Formation and (In)Efficient Markets in Learning‐to‐forecast and optimise Experiments," Economic Journal, Royal Economic Society, vol. 127(605), pages 581-609, October.

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. Anufriev, M. & Hommes, C.H. & Makarewicz, T.A., 2015. "Simple Forecasting Heuristics that Make us Smart: Evidence from Different Market Experiments," CeNDEF Working Papers 15-07, Universiteit van Amsterdam, Center for Nonlinear Dynamics in Economics and Finance.

    Cited by:

    1. Bao, Te & Hommes, Cars & Pei, Jiaoying, 2021. "Expectation formation in finance and macroeconomics: A review of new experimental evidence," Journal of Behavioral and Experimental Finance, Elsevier, vol. 32(C).
    2. Mikhail Anufriev & Aleksei Chernulich & Jan Tuinstra, 2020. "Asset Price Volatility and Investment Horizons: An Experimental Investigation," Working Papers 20200053, New York University Abu Dhabi, Department of Social Science, revised Aug 2020.
    3. Makarewicz, Tomasz, 2021. "Traders, forecasters and financial instability: A model of individual learning of anchor-and-adjustment heuristics," Journal of Economic Behavior & Organization, Elsevier, vol. 190(C), pages 626-673.
    4. Jasmina Arifovic & Isabelle Salle & Hung Truong, 2023. "History-Dependent Monetary Regimes: A Lab Experiment and a Henk Model," Tinbergen Institute Discussion Papers 23-028/VI, Tinbergen Institute.
    5. Mikhail Anufriev & John Duffy & Valentyn Panchenko, "undated". "Planar Beauty Contests," Discussion Papers 2019-06, School of Economics, The University of New South Wales.
    6. Cars Hommes & Anita Kopányi-Peuker & Joep Sonnemans, "undated". "Bubbles, crashes and information contagion in large-group asset market experiments," Tinbergen Institute Discussion Papers 19-016/II, Tinbergen Institute.
    7. Hanaki, Nobuyuki & Akiyama, Eizo & Ishikawa, Ryuichiro, 2018. "Effects of different ways of incentivizing price forecasts on market dynamics and individual decisions in asset market experiments," Journal of Economic Dynamics and Control, Elsevier, vol. 88(C), pages 51-69.
    8. Leonid Serkov & Sergey Krasnykh, 2023. "The Specific Behavior of Economic Agents with Heterogeneous Expectations in the New Keynesian Model with Rigid Prices and Wages," Mathematics, MDPI, vol. 11(4), pages 1-17, February.
    9. Annicchiarico, Barbara & Surricchio, Silvia & Waldmann, Robert J., 2019. "A behavioral model of the credit cycle," Journal of Economic Behavior & Organization, Elsevier, vol. 166(C), pages 53-83.
    10. Hommes, Cars & Makarewicz, Tomasz, 2021. "Price level versus inflation targeting under heterogeneous expectations: a laboratory experiment," Journal of Economic Behavior & Organization, Elsevier, vol. 182(C), pages 39-82.
    11. Hommes, Cars, 2018. "Behavioral & experimental macroeconomics and policy analysis: a complex systems approach," Working Paper Series 2201, European Central Bank.
    12. Cars Hommes & Tomasz Makarewicz & Domenico Massaro & Tom Smits, 2017. "Genetic algorithm learning in a New Keynesian macroeconomic setup," Journal of Evolutionary Economics, Springer, vol. 27(5), pages 1133-1155, November.
    13. Bao, Te & Füllbrunn, Sascha & Pei, Jiaoying & Zong, Jichuan, 2024. "Reading the market? Expectation coordination and theory of mind," Journal of Economic Behavior & Organization, Elsevier, vol. 219(C), pages 510-527.
    14. Tomasz Makarewicz, 2017. "Contrarian Behavior, Information Networks and Heterogeneous Expectations in an Asset Pricing Model," Computational Economics, Springer;Society for Computational Economics, vol. 50(2), pages 231-279, August.
    15. Nobuyuki Hanaki & Eizo Akiyama & Ryuichiro Ishikawa, 2017. "Effects of Eliciting Long-run Price Forecasts on Market Dynamics in Asset Market Experiments," GREDEG Working Papers 2017-26, Groupe de REcherche en Droit, Economie, Gestion (GREDEG CNRS), Université Côte d'Azur, France.
    16. Thorp, S. & Bateman, H. & Dobrescu, L.I. & Newell, B.R. & Ortmann, A., 2020. "Flicking the switch: Simplifying disclosure to improve retirement plan choices," Journal of Banking & Finance, Elsevier, vol. 121(C).
    17. Kukacka, Jiri & Sacht, Stephen, 2021. "Estimation of Heuristic Switching in Behavioral Macroeconomic Models," Economics Working Papers 2021-01, Christian-Albrechts-University of Kiel, Department of Economics.
    18. Makarewicz, Tomasz, 2019. "Traders, forecasters and financial instability: A model of individual learning of anchor-and-adjustment heuristics," BERG Working Paper Series 141, Bamberg University, Bamberg Economic Research Group.
    19. Chernulich, Aleksei, 2021. "Modelling reference dependence for repeated choices: A horse race between models of normalisation," Journal of Economic Psychology, Elsevier, vol. 87(C).
    20. Mauersberger, Felix, 2021. "Monetary policy rules in a non-rational world: A macroeconomic experiment," Journal of Economic Theory, Elsevier, vol. 197(C).
    21. Deborah Noguera & Gabriel Montes-Rojas, 2023. "Minskyan model with credit rationing in a network economy," SN Business & Economics, Springer, vol. 3(3), pages 1-26, March.
    22. Anufriev, Mikhail & Arifovic, Jasmina & Ledyard, John & Panchenko, Valentyn, 2022. "The role of information in a continuous double auction: An experiment and learning model," Journal of Economic Dynamics and Control, Elsevier, vol. 141(C).
    23. Domenico Colucci & Matteo Vigna & Vincenzo Valori, 2022. "Large and uncertain heterogeneity of expectations: stability of equilibrium from a policy maker standpoint," Journal of Economic Interaction and Coordination, Springer;Society for Economic Science with Heterogeneous Interacting Agents, vol. 17(1), pages 319-348, January.
    24. Noussair, Charles N. & Popescu, Andreea Victoria, 2021. "Comovement and return predictability in asset markets: An experiment with two Lucas trees," Journal of Economic Behavior & Organization, Elsevier, vol. 185(C), pages 671-687.

  2. Te Bao & Cars Hommes & Tomasz Makarewicz, 2015. "Bubble Formation and (In)Efficient Markets in Learning-to-Forecast and -optimise Experiments," Tinbergen Institute Discussion Papers 15-107/II, Tinbergen Institute.

    Cited by:

    1. Kopanyi-Peuker, Anita & Weber, Matthias, 2018. "Experience Does not Eliminate Bubbles: Experimental Evidence," SocArXiv ecj7q, Center for Open Science.
    2. Bao, Te & Hommes, Cars, 2019. "When speculators meet suppliers: Positive versus negative feedback in experimental housing markets," Journal of Economic Dynamics and Control, Elsevier, vol. 107(C), pages 1-1.
    3. Bao, Te & Hommes, Cars & Pei, Jiaoying, 2021. "Expectation formation in finance and macroeconomics: A review of new experimental evidence," Journal of Behavioral and Experimental Finance, Elsevier, vol. 32(C).
    4. Mikhail Anufriev & Aleksei Chernulich & Jan Tuinstra, 2020. "Asset Price Volatility and Investment Horizons: An Experimental Investigation," Working Papers 20200053, New York University Abu Dhabi, Department of Social Science, revised Aug 2020.
    5. Makarewicz, Tomasz, 2021. "Traders, forecasters and financial instability: A model of individual learning of anchor-and-adjustment heuristics," Journal of Economic Behavior & Organization, Elsevier, vol. 190(C), pages 626-673.
    6. Biondo, Alessio Emanuele, 2017. "Learning to forecast, risk aversion, and microstructural aspects of financial stability," Economics Discussion Papers 2017-104, Kiel Institute for the World Economy (IfW Kiel).
    7. Fatemeh Mokhtarzadeh & Luba Petersen, 2021. "Coordinating expectations through central bank projections," Experimental Economics, Springer;Economic Science Association, vol. 24(3), pages 883-918, September.
    8. Matthias Weber & John Duffy & Arthur Schram, 2019. "Credit Default Swap Regulation in Experimental Bond Markets," Tinbergen Institute Discussion Papers 19-039/I, Tinbergen Institute.
    9. Cars Hommes & Anita Kopányi-Peuker & Joep Sonnemans, "undated". "Bubbles, crashes and information contagion in large-group asset market experiments," Tinbergen Institute Discussion Papers 19-016/II, Tinbergen Institute.
    10. Hanaki, Nobuyuki & Akiyama, Eizo & Ishikawa, Ryuichiro, 2018. "Effects of different ways of incentivizing price forecasts on market dynamics and individual decisions in asset market experiments," Journal of Economic Dynamics and Control, Elsevier, vol. 88(C), pages 51-69.
    11. Yingyi Hu, 2019. "Short-horizon market efficiency, order imbalance, and speculative trading: evidence from the Chinese stock market," Annals of Operations Research, Springer, vol. 281(1), pages 253-274, October.
    12. Mikhail Anufriev & Te Bao & Jan Tuinstra, 2015. "Microfoundations for Switching Behavior in Heterogeneous Agent Models: An Experiment," Working Paper Series 31, Economics Discipline Group, UTS Business School, University of Technology, Sydney.
    13. Tiziana Assenza & Te Bao & Cars Hommes & Domenico Massaro, 2014. "Experiments on Expectations in Macroeconomics and Finance," Research in Experimental Economics, in: Experiments in Macroeconomics, volume 17, pages 11-70, Emerald Group Publishing Limited.
    14. Zhengyang Bao & Andreas Leibbrandt & ple391, 2019. "Thar she resurges: The case of assets that lack positive fundamental value," Monash Economics Working Papers 12-19, Monash University, Department of Economics.
    15. Haeussler, Stefan & Stefan, Matthias & Schneckenreither, Manuel & Onay, Anita, 2021. "The lead time updating trap: Analyzing human behavior in capacitated supply chains," International Journal of Production Economics, Elsevier, vol. 234(C).
    16. Agliari, Anna & Hommes, Cars H. & Pecora, Nicolò, 2016. "Path dependent coordination of expectations in asset pricing experiments: A behavioral explanation," Journal of Economic Behavior & Organization, Elsevier, vol. 121(C), pages 15-28.
    17. Bao, Te & Corgnet, Brice & Hanaki, Nobuyuki & Riyanto, Yohanes E. & Zhu, Jiahua, 2023. "Predicting the unpredictable: New experimental evidence on forecasting random walks," Journal of Economic Dynamics and Control, Elsevier, vol. 146(C).
    18. Aragón, Nicolás & Roulund, Rasmus Pank, 2020. "Confidence and decision-making in experimental asset markets," Journal of Economic Behavior & Organization, Elsevier, vol. 178(C), pages 688-718.
    19. Schmitt, Noemi & Westerhoff, Frank, 2021. "Trend followers, contrarians and fundamentalists: Explaining the dynamics of financial markets," Journal of Economic Behavior & Organization, Elsevier, vol. 192(C), pages 117-136.
    20. Yang, Xiaolan & Gao, Mei & Wu, Yun & Jin, Xuejun, 2018. "Performance evaluation and herd behavior in a laboratory financial market," Journal of Behavioral and Experimental Economics (formerly The Journal of Socio-Economics), Elsevier, vol. 75(C), pages 45-54.
    21. Jerome L Kreuser & Didier Sornette, 2017. "Super-Exponential RE Bubble Model with Efficient Crashes," Swiss Finance Institute Research Paper Series 17-33, Swiss Finance Institute.
    22. Nobuyuki Hanaki & Eizo Akiyama & Ryuichiro Ishikawa, 2016. "A Methodological Note on Eliciting Price Forecasts in Asset Market Experiments," GREDEG Working Papers 2016-02, Groupe de REcherche en Droit, Economie, Gestion (GREDEG CNRS), Université Côte d'Azur, France.
    23. Hommes, Cars & Makarewicz, Tomasz, 2021. "Price level versus inflation targeting under heterogeneous expectations: a laboratory experiment," Journal of Economic Behavior & Organization, Elsevier, vol. 182(C), pages 39-82.
    24. Hommes, Cars, 2018. "Behavioral & experimental macroeconomics and policy analysis: a complex systems approach," Working Paper Series 2201, European Central Bank.
    25. Hommes, C.H. & Bao, T., 2015. "When Speculators Meet Constructors: Positive and Negative Feedback in Experimental Housing Markets," CeNDEF Working Papers 15-10, Universiteit van Amsterdam, Center for Nonlinear Dynamics in Economics and Finance.
    26. Arifovic, J. & Hommes, C.H. & Salle, I., 2016. "Learning to believe in Simple Equilibria in a Complex OLG Economy - evidence from the lab," CeNDEF Working Papers 16-06, Universiteit van Amsterdam, Center for Nonlinear Dynamics in Economics and Finance.
    27. Petersen, Luba & Rholes, Ryan, 2022. "Macroeconomic expectations, central bank communication, and background uncertainty: A COVID-19 laboratory experiment," Journal of Economic Dynamics and Control, Elsevier, vol. 143(C).
    28. Nobuyuki Hanaki & Cars Hommes & Dávid Kopányi & Anita Kopányi-Peuker & Jan Tuinstra, 2023. "Forecasting returns instead of prices exacerbates financial bubbles," Experimental Economics, Springer;Economic Science Association, vol. 26(5), pages 1185-1213, November.
    29. Steiger, Sören & Pelster, Matthias, 2020. "Social interactions and asset pricing bubbles," Journal of Economic Behavior & Organization, Elsevier, vol. 179(C), pages 503-522.
    30. Bao, Te & Hennequin, Myrna & Hommes, Cars & Massaro, Domenico, 2020. "Coordination on bubbles in large-group asset pricing experiments," Journal of Economic Dynamics and Control, Elsevier, vol. 110(C).
    31. Colasante, Annarita & Palestrini, Antonio & Russo, Alberto & Gallegati, Mauro, 2017. "Adaptive expectations versus rational expectations: Evidence from the lab," International Journal of Forecasting, Elsevier, vol. 33(4), pages 988-1006.
    32. Nobuyuki Hanaki & Eizo Akiyama & Ryuichiro Ishikawa, 2017. "Effects of Eliciting Long-run Price Forecasts on Market Dynamics in Asset Market Experiments," GREDEG Working Papers 2017-26, Groupe de REcherche en Droit, Economie, Gestion (GREDEG CNRS), Université Côte d'Azur, France.
    33. Zhang, Mu & Zheng, Jie, 2017. "A robust reference-dependent model for speculative bubbles," Journal of Economic Behavior & Organization, Elsevier, vol. 137(C), pages 232-258.
    34. Biondo, Alessio Emanuele, 2018. "Learning to forecast, risk aversion, and microstructural aspects of financial stability," Economics - The Open-Access, Open-Assessment E-Journal (2007-2020), Kiel Institute for the World Economy (IfW Kiel), vol. 12, pages 1-21.
    35. Bazzana, Davide & Colturato, Michele & Savona, Roberto, 2023. "Learning about unprecedented events: Agent-based modelling and the stock market impact of COVID-19," Finance Research Letters, Elsevier, vol. 56(C).
    36. Dávid Kopányi & Jean Paul Rabanal & Olga A. Rud & Jan Tuinstra, 2019. "Can successful forecasters help stabilize asset prices in a learning to forecast experiment?," Working Papers 140, Peruvian Economic Association.
    37. Legaki, Nikoletta-Zampeta & Karpouzis, Kostas & Assimakopoulos, Vassilios & Hamari, Juho, 2021. "Gamification to avoid cognitive biases: An experiment of gamifying a forecasting course," Technological Forecasting and Social Change, Elsevier, vol. 167(C).
    38. Makarewicz, Tomasz, 2019. "Traders, forecasters and financial instability: A model of individual learning of anchor-and-adjustment heuristics," BERG Working Paper Series 141, Bamberg University, Bamberg Economic Research Group.
    39. Kopányi, Dávid & Rabanal, Jean Paul & Rud, Olga A. & Tuinstra, Jan, 2019. "Can competition between forecasters stabilize asset prices in learning to forecast experiments?," Journal of Economic Dynamics and Control, Elsevier, vol. 109(C).
    40. Florian Peters & Simas Kucinskas, 2018. "Measuring Biases in Expectation Formation," Tinbergen Institute Discussion Papers 18-058/IV, Tinbergen Institute.
    41. Bao, Te & Zong, Jichuan, 2019. "The impact of interest rate policy on individual expectations and asset bubbles in experimental markets," Journal of Economic Dynamics and Control, Elsevier, vol. 107(C), pages 1-1.
    42. Canepa, Alessandra & Alqaralleh, Huthaifa, 2019. "Housing Market Cycles in Large Urban Areas," Department of Economics and Statistics Cognetti de Martiis. Working Papers 201903, University of Turin.
    43. Gong, Qingbin & Diao, Xundi, 2023. "The impacts of investor network and herd behavior on market stability: Social learning, network structure, and heterogeneity," European Journal of Operational Research, Elsevier, vol. 306(3), pages 1388-1398.
    44. Jiaoying Pei, 2024. "Reference Model Based Learning in Expectation Formation: Experimental Evidence," Papers 2404.08908, arXiv.org, revised May 2024.
    45. Alessandra Canepa & Emilio Zanetti Chini & Huthaifa Alqaralleh, 2020. "Global Cities and Local Housing Market Cycles," The Journal of Real Estate Finance and Economics, Springer, vol. 61(4), pages 671-697, November.
    46. Zhou Lu & Te Bao & Xiaohua Yu, 2021. "Gender and Bubbles in Experimental Markets with Positive and Negative Expectation Feedback," Computational Economics, Springer;Society for Computational Economics, vol. 57(4), pages 1307-1326, April.
    47. Giamattei, Marcus & Huber, Jürgen & Lambsdorff, Johann Graf & Nicklisch, Andreas & Palan, Stefan, 2020. "Who inflates the bubble? Forecasters and traders in experimental asset markets," Journal of Economic Dynamics and Control, Elsevier, vol. 110(C).
    48. Zhu, Jiahua & Bao, Te & Chia, Wai Mun, 2021. "Evolutionary selection of forecasting and quantity decision rules in experimental asset markets," Journal of Economic Behavior & Organization, Elsevier, vol. 182(C), pages 363-404.
    49. Toshiaki Akinaga & Takanori Kudo & Kenju Akai, 2023. "Interaction between price and expectations in the jar-guessing experimental market," Journal of Economic Interaction and Coordination, Springer;Society for Economic Science with Heterogeneous Interacting Agents, vol. 18(3), pages 491-532, July.
    50. Bao, Zhengyang & Kalaycı, Kenan & Leibbrandt, Andreas & Oyarzun, Carlos, 2020. "Do regulations work? A comprehensive analysis of price limits and trading restrictions in experimental asset markets with deterministic and stochastic fundamental values," Journal of Economic Behavior & Organization, Elsevier, vol. 178(C), pages 59-84.

  3. Hommes, C.H. & Makarewicz, T.A. & Massaro, D. & Smits, T., 2015. "Genetic Algorithm Learning in a New Keynesian Macroeconomic Setup," CeNDEF Working Papers 15-01, Universiteit van Amsterdam, Center for Nonlinear Dynamics in Economics and Finance.

    Cited by:

    1. Bao, Te & Hommes, Cars & Pei, Jiaoying, 2021. "Expectation formation in finance and macroeconomics: A review of new experimental evidence," Journal of Behavioral and Experimental Finance, Elsevier, vol. 32(C).
    2. Hommes, Cars & Makarewicz, Tomasz, 2021. "Price level versus inflation targeting under heterogeneous expectations: a laboratory experiment," Journal of Economic Behavior & Organization, Elsevier, vol. 182(C), pages 39-82.
    3. Hommes, Cars, 2018. "Behavioral & experimental macroeconomics and policy analysis: a complex systems approach," Working Paper Series 2201, European Central Bank.
    4. Kukacka, Jiri & Sacht, Stephen, 2021. "Estimation of Heuristic Switching in Behavioral Macroeconomic Models," Economics Working Papers 2021-01, Christian-Albrechts-University of Kiel, Department of Economics.
    5. Zhu, Jiahua & Bao, Te & Chia, Wai Mun, 2021. "Evolutionary selection of forecasting and quantity decision rules in experimental asset markets," Journal of Economic Behavior & Organization, Elsevier, vol. 182(C), pages 363-404.

Articles

  1. Tomasz Makarewicz, 2017. "Contrarian Behavior, Information Networks and Heterogeneous Expectations in an Asset Pricing Model," Computational Economics, Springer;Society for Computational Economics, vol. 50(2), pages 231-279, August.

    Cited by:

    1. Jia-Ping Huang & Yang Zhang & Juanxi Wang, 2023. "Dynamic effects of social influence on asset prices," Journal of Economic Interaction and Coordination, Springer;Society for Economic Science with Heterogeneous Interacting Agents, vol. 18(3), pages 671-699, July.

  2. Cars Hommes & Tomasz Makarewicz & Domenico Massaro & Tom Smits, 2017. "Genetic algorithm learning in a New Keynesian macroeconomic setup," Journal of Evolutionary Economics, Springer, vol. 27(5), pages 1133-1155, November.
    See citations under working paper version above.
  3. Te Bao & Cars Hommes & Tomasz Makarewicz, 2017. "Bubble Formation and (In)Efficient Markets in Learning‐to‐forecast and optimise Experiments," Economic Journal, Royal Economic Society, vol. 127(605), pages 581-609, October.
    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 6 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-EXP: Experimental Economics (5) 2014-03-15 2015-09-11 2016-09-11 2016-09-11 2016-11-27. Author is listed
  2. NEP-CMP: Computational Economics (3) 2016-09-11 2016-09-11 2016-11-27. Author is listed
  3. NEP-CBE: Cognitive and Behavioural Economics (2) 2016-09-11 2016-11-27. Author is listed
  4. NEP-FOR: Forecasting (2) 2016-09-11 2016-11-27. Author is listed
  5. NEP-HME: Heterodox Microeconomics (1) 2016-09-11
  6. NEP-NET: Network Economics (1) 2016-09-11
  7. NEP-ORE: Operations Research (1) 2016-11-27

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