Research classified by Journal of Economic Literature (JEL) codes

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Top JEL
/ C: Mathematical and Quantitative Methods
/ / C6: Mathematical Methods; Programming Models; Mathematical and Simulation Modeling
/ / / C63: Computational Techniques

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This JEL code is mentioned in the following RePEc Biblio entries:

1. Dynamic Stochastic General Equilibrium
2. Solution Methods for DSGE models

2018

• Damian Clarke & Benjamín Matta, 2018, "Practical considerations for questionable IVs," Stata Journal, StataCorp LLC, volume 18, issue 3, pages 663-691, September.
• Abdelghani Maddi, 2018, "Analyse scientométrique de la crise économique," CEPN Working Papers, Centre d'Economie de l'Université de Paris Nord, number 2018-08, Nov.
• Italo Pedrosa & Dany Lang, 2018, "Heterogeneity, distribution and financial fragility of non-financial firms: an agent-based stock-flow consistent (AB-SFC) model," CEPN Working Papers, Centre d'Economie de l'Université de Paris Nord, number 2018-11, Nov.
• 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, Department of Economics, University of Siena, number 788, Oct.
• Marco Tolotti & Jorge Yepez, 2018, "Hotelling-Bertrand duopoly competition under firm-specific network effects," Working Papers, Venice School of Management - Department of Management, Università Ca' Foscari Venezia, number 06, Jun.
• Bourhime Sara & Tkiouat Mohamed, 2018, "Rethinking Microfinance in a Dual Financial System: An Agent-based Simulation," Scientific Annals of Economics and Business, Paradigm, volume 65, issue 1, pages 13-29, March, DOI: 10.2478/saeb-2018-0002.
• Ginanneschi Marco & Piu Pietro, 2018, "The Role of e-Commerce in the Success of Low-cost Carriers," Scientific Annals of Economics and Business, Paradigm, volume 65, issue 4, pages 407-425, December, DOI: 10.2478/saeb-2018-0029.
• Husáková Martina, 2018, "Use of the Multi-Agent Paradigm in Sustainable Tourism," Czech Journal of Tourism, Paradigm, volume 7, issue 1, pages 5-24, June, DOI: 10.1515/cjot-2018-0001.
• Augustyński Iwo & Laskoś-Grabowski Paweł, 2018, "Clustering Macroeconomic Time Series," Econometrics. Advances in Applied Data Analysis, Paradigm, volume 22, issue 2, pages 74-88, June, DOI: 10.15611/eada.2018.2.06.
• Ingrid Kubin & Laura Gardini, 2018, "On the significance of borders," Department of Economics Working Papers, Vienna University of Economics and Business, Department of Economics, number wuwp266, Aug.
• Pasquale Commendatore & Ingrid Kubin & Iryna Sushko, 2018, "The impact of Brexit on trade patterns and industry location: a NEG analysis," Department of Economics Working Papers, Vienna University of Economics and Business, Department of Economics, number wuwp267, Aug.
• Kubin, Ingrid & Gardini, Laura, 2018, "On the significance of borders," Department of Economics Working Paper Series, WU Vienna University of Economics and Business, number 266, Aug.
• Commendatore, Pasquale & Kubin, Ingrid & Sushko, Iryna, 2018, "The impact of Brexit on trade patterns and industry location: a NEG analysis," Department of Economics Working Paper Series, WU Vienna University of Economics and Business, number 267, Aug.
• Giovanni Lombardo & Harald Uhlig, 2018, "A Theory Of Pruning," International Economic Review, Department of Economics, University of Pennsylvania and Osaka University Institute of Social and Economic Research Association, volume 59, issue 4, pages 1825-1836, November, DOI: 10.1111/iere.12321.
• Le‐Yu Chen & Sokbae Lee, 2018, "Exact computation of GMM estimators for instrumental variable quantile regression models," Journal of Applied Econometrics, John Wiley & Sons, Ltd., volume 33, issue 4, pages 553-567, June, DOI: 10.1002/jae.2619.
• Carlos Díaz, 2018, "Extracting information shocks from the Bank of England inflation density forecasts," Journal of Forecasting, John Wiley & Sons, Ltd., volume 37, issue 3, pages 316-326, April, DOI: 10.1002/for.2501.
• Grey Gordon & Shi Qiu, 2018, "A divide and conquer algorithm for exploiting policy function monotonicity," Quantitative Economics, Econometric Society, volume 9, issue 2, pages 521-540, July, DOI: 10.3982/QE640.
• Jesús Fernández‐Villaverde & Oren Levintal, 2018, "Solution methods for models with rare disasters," Quantitative Economics, Econometric Society, volume 9, issue 2, pages 903-944, July, DOI: 10.3982/QE744.
• Fabrice Collard & Sujoy Mukerji & Kevin Sheppard & Jean‐Marc Tallon, 2018, "Ambiguity and the historical equity premium," Quantitative Economics, Econometric Society, volume 9, issue 2, pages 945-993, July, DOI: 10.3982/QE708.
• David Kuo Chuen Lee & Linda Low, 2018, "Inclusive FinTech:Blockchain, Cryptocurrency and ICO," World Scientific Books, World Scientific Publishing Co. Pte. Ltd., number 10949, ISBN: ARRAY(0x53525c28).
• David Kuo Chuen LEE & Linda LOW, 2018, "Overview," World Scientific Book Chapters, World Scientific Publishing Co. Pte. Ltd., chapter 1, "Inclusive FinTech Blockchain, Cryptocurrency and ICO".
• David Kuo Chuen LEE & Linda LOW, 2018, "Digital Currency, Bitcoin and Cryptocurrency," World Scientific Book Chapters, World Scientific Publishing Co. Pte. Ltd., chapter 2, "Inclusive FinTech Blockchain, Cryptocurrency and ICO".
• David Kuo Chuen LEE & Linda LOW, 2018, "Introduction to Initial Crypto-Token Offering (ICO)," World Scientific Book Chapters, World Scientific Publishing Co. Pte. Ltd., chapter 3, "Inclusive FinTech Blockchain, Cryptocurrency and ICO".
• David Kuo Chuen LEE & Linda LOW, 2018, "The Characteristics of Token Investors," World Scientific Book Chapters, World Scientific Publishing Co. Pte. Ltd., chapter 4, "Inclusive FinTech Blockchain, Cryptocurrency and ICO".
• David Kuo Chuen LEE & Linda LOW, 2018, "Blockchain: An Introduction," World Scientific Book Chapters, World Scientific Publishing Co. Pte. Ltd., chapter 5, "Inclusive FinTech Blockchain, Cryptocurrency and ICO".
• David Kuo Chuen LEE & Linda LOW, 2018, "Blockchain: A Technical Introduction," World Scientific Book Chapters, World Scientific Publishing Co. Pte. Ltd., chapter 6, "Inclusive FinTech Blockchain, Cryptocurrency and ICO".
• David Kuo Chuen LEE & Linda LOW, 2018, "Inclusive FinTech," World Scientific Book Chapters, World Scientific Publishing Co. Pte. Ltd., chapter 7, "Inclusive FinTech Blockchain, Cryptocurrency and ICO".
• David Kuo Chuen LEE & Linda LOW, 2018, "FinTech in Singapore," World Scientific Book Chapters, World Scientific Publishing Co. Pte. Ltd., chapter 8, "Inclusive FinTech Blockchain, Cryptocurrency and ICO".
• David Kuo Chuen LEE & Linda LOW, 2018, "FinTech in ASEAN," World Scientific Book Chapters, World Scientific Publishing Co. Pte. Ltd., chapter 9, "Inclusive FinTech Blockchain, Cryptocurrency and ICO".
• David Kuo Chuen LEE & Linda LOW, 2018, "Regional Trends and FinTech Future," World Scientific Book Chapters, World Scientific Publishing Co. Pte. Ltd., chapter 10, "Inclusive FinTech Blockchain, Cryptocurrency and ICO".
• David Kuo Chuen LEE & Linda LOW, 2018, "Interviews, Podcasts and Videos," World Scientific Book Chapters, World Scientific Publishing Co. Pte. Ltd., chapter 11, "Inclusive FinTech Blockchain, Cryptocurrency and ICO".
• Oscar Claveria & Enric Monte & Salvador Torra, 2018, "Tracking economic growth by evolving expectations via genetic programming: A two-step approach," Working Papers, Xarxa de Referència en Economia Aplicada (XREAP), number XREAP2018-4, Oct, revised Oct 2018.
• Schmitt, Noemi, 2018, "Heterogeneous expectations and asset price dynamics," BERG Working Paper Series, Bamberg University, Bamberg Economic Research Group, number 134.
• Augustyński, Iwo & Laskoś-Grabowski, Paweł, 2018, "Clustering Macroeconomic Time Series," EconStor Open Access Articles and Book Chapters, ZBW - Leibniz Information Centre for Economics, volume 22, issue 2, pages 74-88.
• Xiao, Tim, 2018, "Bilateral Defaultable Financial Derivatives Pricing and Credit Valuation Adjustment," EconStor Preprints, ZBW - Leibniz Information Centre for Economics, number 202549.
• Dosi, Giovanni & Pereira, Marcelo C. & Roventini, Andrea & Virgillito, Maria Enrica, 2018, "What if supply-side policies are not enough? The perverse interaction of flexibility and austerity," GLO Discussion Paper Series, Global Labor Organization (GLO), number 168.
• Dosi, Giovanni & Pereira, Marcelo C. & Roventini, Andrea & Virgillito, Maria Enrica, 2018, "The labour-augmented K+S model: a laboratory for the analysis of institutional and policy regimes," GLO Discussion Paper Series, Global Labor Organization (GLO), number 241.
• Chen, Siyan & Desiderio, Saul, 2018, "Computational evidence on the distributive properties of monetary policy," Economics Discussion Papers, Kiel Institute for the World Economy, number 2018-38.
• Ponomarenko, Alexey A. & Ponomarenko, Alexey N., 2018, "What do aggregate saving rates (not) show?," Economics - The Open-Access, Open-Assessment E-Journal (2007-2020), Kiel Institute for the World Economy, volume 12, pages 1-20, DOI: 10.5018/economics-ejournal.ja.2018-.
• Chen, Siyan & Desiderio, Saul, 2018, "What moves the Beveridge curve and the Phillips curve: An agent-based analysis," Economics - The Open-Access, Open-Assessment E-Journal (2007-2020), Kiel Institute for the World Economy, volume 12, pages 1-30, DOI: 10.5018/economics-ejournal.ja.2018-.
• 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, volume 12, pages 1-21, DOI: 10.5018/economics-ejournal.ja.2018-.
• Assenza, Tiziana & Cardaci, Alberto & Delli Gatti, Domenico & Grazzini, Jakob, 2018, "Policy experiments in an agent-based model with credit networks," Economics - The Open-Access, Open-Assessment E-Journal (2007-2020), Kiel Institute for the World Economy, volume 12, pages 1-17, DOI: 10.5018/economics-ejournal.ja.2018-.
• Chen, Siyan & Desiderio, Saul, 2018, "Computational evidence on the distributive properties of monetary policy," Economics - The Open-Access, Open-Assessment E-Journal (2007-2020), Kiel Institute for the World Economy, volume 12, pages 1-32, DOI: 10.5018/economics-ejournal.ja.2018-.
• Krug, Sebastian, 2018, "The interaction between monetary and macroprudential policy: Should central banks 'lean against the wind' to foster macro-financial stability?," Economics - The Open-Access, Open-Assessment E-Journal (2007-2020), Kiel Institute for the World Economy, volume 12, pages 1-69, DOI: 10.5018/economics-ejournal.ja.2018-.
• Zbonakova, Lenka & Pio Monti, Ricardo & Härdle, Wolfgang Karl, 2018, "Towards the interpretation of time-varying regularization parameters in streaming penalized regression models," IRTG 1792 Discussion Papers, Humboldt University of Berlin, International Research Training Group 1792 "High Dimensional Nonstationary Time Series", number 2018-059.
• Di Nola, Alessandro & Kocharkov, Georgi & Scholl, Almuth & Tkhir, Anna-Mariia, 2018, "The Aggregate Consequences of Tax Evasion," VfS Annual Conference 2018 (Freiburg, Breisgau): Digital Economy, Verein für Socialpolitik / German Economic Association, number 181514.
• Böhl, Gregor & Strobel, Felix, 2018, "Forward Guidance at the Zero Lower Bound: Curse and Blessing of Time-Inconsistency," VfS Annual Conference 2018 (Freiburg, Breisgau): Digital Economy, Verein für Socialpolitik / German Economic Association, number 181526.
• Kurz, Sascha & Mayer, Alexander & Napel, Stefan, 2018, "Weighted Committee Games," VfS Annual Conference 2018 (Freiburg, Breisgau): Digital Economy, Verein für Socialpolitik / German Economic Association, number 181561.
• Wei-Bin Zhang, 2018, "A Growth Theory Based on Walrasian General Equilibrium, Solow-Uzawa Growth, and Heckscher-Ohlin Trade Theories," Interdisciplinary Description of Complex Systems - scientific journal, Croatian Interdisciplinary Society Provider Homepage: http://indecs.eu, volume 16, issue 3-B, pages 452-464.

2017

• Marco Corazza & Giovanni Fasano & Stefania Funari & Riccardo Gusso, 2017, "PSO-based tuning of MURAME parameters for creditworthiness evaluation of Italian SMEs," Working Papers, Venice School of Management - Department of Management, Università Ca' Foscari Venezia, number 04, Apr.
• Salvatore Russo & Stefano Landi & Paolo Landa, 2017, "Management of knee osteoarthritis in Italy. A cost-utility analysis of Platelet-Rich-Plasma dedicated kit versus Hyaluronic acid for the intra-articular treatment of knee OA," Working Papers, Venice School of Management - Department of Management, Università Ca' Foscari Venezia, number 08, Aug.
• Mikołaj Czajkowski & Wiktor Budziński, 2017, "Simulation error in maximum likelihood estimation of discrete choice models," Working Papers, Faculty of Economic Sciences, University of Warsaw, number 2017-18.
• Christos Shiamptanis, 2017, "Austerity Measures: Do they avert solvency crises?," LCERPA Working Papers, Laurier Centre for Economic Research and Policy Analysis, number 0103, Jun, revised 19 Jun 2017.
• Marcus Hagedorn & Tzuo Hann Law & Iourii Manovskii, 2017, "Identifying Equilibrium Models of Labor Market Sorting," Econometrica, Econometric Society, volume 85, issue , pages 29-65, January.
• Mariano Kulish & Adrian Pagan, 2017, "Estimation and Solution of Models with Expectations and Structural Changes," Journal of Applied Econometrics, John Wiley & Sons, Ltd., volume 32, issue 2, pages 255-274, March, DOI: 10.1002/jae.2527.
• Yongyang Cai & Kenneth Judd & Jevgenijs Steinbuks, 2017, "A nonlinear certainty equivalent approximation method for dynamic stochastic problems," Quantitative Economics, Econometric Society, volume 8, issue 1, pages 117-147, March.
• Leland E. Farmer & Alexis Akira Toda, 2017, "Discretizing nonlinear, non‐Gaussian Markov processes with exact conditional moments," Quantitative Economics, Econometric Society, volume 8, issue 2, pages 651-683, July.
• Kenneth L. Judd & Lilia Maliar & Serguei Maliar & Inna Tsener, 2017, "How to solve dynamic stochastic models computing expectations just once," Quantitative Economics, Econometric Society, volume 8, issue 3, pages 851-893, November.
• Shifu Jiang, 2017, "The Ramsey Cooperative and Non-Cooperative Unconventional Monetary Policy," FIW Working Paper series, FIW, number 180, Dec.
• Tomasz Weron & Anna Kowalska-Pyzalska & Rafal Weron, 2017, "The role of educational trainings in the diffusion of smart metering platforms: An agent-based modeling approach," HSC Research Reports, Hugo Steinhaus Center, Wroclaw University of Science and Technology, number HSC/17/04, Nov.
• Blaurock, Ivonne & Schmitt, Noemi & Westerhoff, Frank, 2017, "Market entry waves and volatility outbursts in stock markets," BERG Working Paper Series, Bamberg University, Bamberg Economic Research Group, number 128.
• Hudgins, David & Crowley, Patrick M., 2017, "Modelling a small open economy using a wavelet-based control model," Bank of Finland Research Discussion Papers, Bank of Finland, number 32/2017.
• Tente, Natalia & von Westernhagen, Natalja & Slopek, Ulf, 2017, "M-PRESS-CreditRisk: A holistic micro- and macroprudential approach to capital requirements," Discussion Papers, Deutsche Bundesbank, number 15/2017.
• Angelov, Aleks & Vasilev, Aleksandar, 2017, "Microeconomic Simulator of Firm Behavior under Monopolistic Competition," EconStor Open Access Articles and Book Chapters, ZBW - Leibniz Information Centre for Economics, volume 8, issue 10, pages 28-33.
• Pesheva, Milena & Vasilev, Aleksandar, 2017, "Endogenizing Total Factor Productivity: The Foreign Direct Investment channel in the case of Bulgaria (2004-2013)," EconStor Open Access Articles and Book Chapters, ZBW - Leibniz Information Centre for Economics, volume 15, issue 2, pages 127-145.
• Ansari, Dawud, 2017, "OPEC, Saudi Arabia, and the shale revolution: Insights from equilibrium modelling and oil politics," EconStor Open Access Articles and Book Chapters, ZBW - Leibniz Information Centre for Economics, volume 111, pages 166-178.
• Augustyński, Iwo & Laskoś-Grabowski, Paweł, 2017, "Clustering Macroeconomic Time Series," EconStor Preprints, ZBW - Leibniz Information Centre for Economics, number 171380.
• Dosi, Giovanni & Pereira, Marcelo C. & Roventini, Andrea & Virgillito, Maria Enrica, 2017, "Causes and Consequences of Hysteresis: Aggregate Demand, Productivity and Employment," GLO Discussion Paper Series, Global Labor Organization (GLO), number 64.
• Biondo, Alessio Emanuele, 2017, "Learning to forecast, risk aversion, and microstructural aspects of financial stability," Economics Discussion Papers, Kiel Institute for the World Economy, number 2017-104.
• Aßmuth, Pascal, 2017, "Stock price related financial fragility and growth patterns," Economics Discussion Papers, Kiel Institute for the World Economy, number 2017-108.
• Dannenberg, Alia Asha & Estola, Matti & Dannenberg, Anna, 2017, "A dynamic theory of economics: What are the market forces?," Economics Discussion Papers, Kiel Institute for the World Economy, number 2017-110.
• Napoletano, Mauro & Roventini, Andrea & Gaffard, Jean Luc, 2017, "Time-varying fiscal multipliers in an agent-based model with credit rationing," Economics Discussion Papers, Kiel Institute for the World Economy, number 2017-112.
• Guo, Zi-Yi, 2017, "Information heterogeneity, housing dynamics and the business cycle," Economics Discussion Papers, Kiel Institute for the World Economy, number 2017-17.
• Awijen, Haithem & Hammami, Sami, 2017, "Financial frictions and regime switching: The role of collateral asset in emerging stock market," Economics Discussion Papers, Kiel Institute for the World Economy, number 2017-6.
• Schasfoort, Joeri & Stockermans, Christopher, 2017, "Fundamentals unknown: Momentum, mean-reversion and price-to-earnings trading in an artificial stock market," Economics Discussion Papers, Kiel Institute for the World Economy, number 2017-63.
• Chen, Siyan & Desiderio, Saul, 2017, "What moves the Beveridge curve and the Phillips curve: An agent-based analysis," Economics Discussion Papers, Kiel Institute for the World Economy, number 2017-65.
• Assenza, Tiziana & Cardaci, Alberto & Delli Gatti, Domenico & Grazzini, Jakob, 2017, "Policy experiments in an agent-based model with credit networks," Economics Discussion Papers, Kiel Institute for the World Economy, number 2017-66.
• Krug, Sebastian, 2017, "The interaction between monetary and macroprudential policy: Should central banks "lean against the wind" to foster macro-financial stability?," Economics Discussion Papers, Kiel Institute for the World Economy, number 2017-85.
• Ponomarenko, Alexey A. & Ponomarenko, Alexey N., 2017, "What do aggregate saving rates (not) show?," Economics Discussion Papers, Kiel Institute for the World Economy, number 2017-96.
• Boehl, Gregor, 2017, "Monetary policy and speculative stock markets," IMFS Working Paper Series, Goethe University Frankfurt, Institute for Monetary and Financial Stability (IMFS), number 119.
• Belke, Ansgar & Gros, Daniel, 2017, "The economic impact of Brexit: Evidence from modelling free trade agreements," Ruhr Economic Papers, RWI - Leibniz-Institut für Wirtschaftsforschung, Ruhr-University Bochum, TU Dortmund University, University of Duisburg-Essen, number 700, DOI: 10.4419/86788814.
• Meyer-Gohde, Alexander, 2017, "Generalized Entropy and Model Uncertainty," SFB 649 Discussion Papers, Humboldt University Berlin, Collaborative Research Center 649: Economic Risk, number 2017-017.
• Böhringer, Christoph & Landis, Florian & Tovar Reaños, Miguel Angel, 2017, "Cost-effectiveness and incidence of renewable energy promotion in Germany," ZEW Discussion Papers, ZEW - Leibniz Centre for European Economic Research, number 17-004.
• Doherr, Thorsten, 2017, "Inventor mobility index: A method to disambiguate inventor careers," ZEW Discussion Papers, ZEW - Leibniz Centre for European Economic Research, number 17-018.
• Soumya Banerjee, 2017, "Automated interpretable computational bilogy in the clinic: a framework to predicst disease severity and stratify patients from clinical data," Interdisciplinary Description of Complex Systems - scientific journal, Croatian Interdisciplinary Society Provider Homepage: http://indecs.eu, volume 15, issue 3, pages 199-208.
• Juan Carlos Parra-Alvarez & Olaf Posch & Mu-Chun Wang, 2017, "Identification and estimation of heterogeneous agent models: A likelihood approach," CREATES Research Papers, Department of Economics and Business Economics, Aarhus University, number 2017-35, Oct.
• In-Koo Cho & Kenneth Kasa, 2017, "Gresham's Law of Model Averaging," American Economic Review, American Economic Association, volume 107, issue 11, pages 3589-3616, November.
• Michelangelo Vasta & Carlo Drago & Roberto Ricciuti & Alberto Rinaldi, 2017, "Reassessing the bank–industry relationship in Italy, 1913–1936: a counterfactual analysis," Cliometrica, Journal of Historical Economics and Econometric History, Association Française de Cliométrie (AFC), volume 11, issue 2, pages 183-216, May, DOI: 10.1007/s11698-016-0142-9.
• De Cian, Enrica & Dasgupta, Shouro & Hof, Andries F. & van Sluisveld, Mariësse A.E. & Köhler, Jonathan & Pfluger, Benjamin & van Vuuren, Detlef P., , "Actors, Decision-making, and Institutions in Quantitative System Modelling," MITP: Mitigation, Innovation and Transformation Pathways, Fondazione Eni Enrico Mattei (FEEM), number 263485, DOI: 10.22004/ag.econ.263485.
• Sahrbacher, Amanda & Jordan Hristov, Jordan & Brady, Mark V., None, "A combined approach to assess the impacts of Ecological Focus Areas on regional structural development and agricultural land use," Review of Agricultural, Food and Environmental Studies, Institut National de la Recherche Agronomique (INRA), volume 98, issue 3, DOI: 10.22004/ag.econ.281221.
• Letort, Elodie & Dupraz, Pierre & Piet, Laurent, 2017, "The impact of environmental regulations on the farmland market and farm structures: An agent-based model applied to the Brittany region of France," Working Papers, Institut National de la recherche Agronomique (INRA), Departement Sciences Sociales, Agriculture et Alimentation, Espace et Environnement (SAE2), number 253784, DOI: 10.22004/ag.econ.253784.
• Jafari, Yaghoob & Britz, Wolfgang, 2017, "Brexit – an economy-wide Impact Assessment looking into trade, immigration, and Foreign Direct Investment," Conference papers, Purdue University, Center for Global Trade Analysis, Global Trade Analysis Project, number 332923.
• Cheung, Ka Chun & Denuit, Michel & Dhaene, Jan, 2017, "Tail mutual exclusivity and Tail-VaR lower bounds," LIDAM Reprints ISBA, Université catholique de Louvain, Institute of Statistics, Biostatistics and Actuarial Sciences (ISBA), number 2017004, Jan.
• Jovan Njegić & Dejan Živkov & Jelena Damnjanović, 2017, "Business Cycles Synchronisation between EU-15 and Selected Eastern European Countries – The Wavelet Coherence Approach," Acta Oeconomica, Akadémiai Kiadó, Hungary, volume 67, issue 4, pages 539-556, December.
• Ufuk Çelik & Çağatay Başarır, 2017, "The Prediction of Precious Metal Prices via Artificial Neural Network by Using RapidMiner," Alphanumeric Journal, Bahadir Fatih Yildirim, volume 5, issue 1, pages 45-54, June, DOI: http://dx.doi.org/10.17093/alphanum.
• Engin Taş, 2017, "Classification of Gene Samples Using Pair-Wise Support Vector Machines," Alphanumeric Journal, Bahadir Fatih Yildirim, volume 5, issue 2, pages 283-292, November, DOI: http://dx.doi.org/10.17093/alphanum.
• Tuncay Özcan, 2017, "Application of Seasonal and Multivariable Grey Prediction Models for Short-Term Load Forecasting," Alphanumeric Journal, Bahadir Fatih Yildirim, volume 5, issue 2, pages 329-338, December, DOI: http://dx.doi.org/10.17093/alphanum.
• Oscar Claveria & Enric Monte & Salvador Torra, 2017, "“Let the data do the talking: Empirical modelling of survey-based expectations by means of genetic programming”," AQR Working Papers, University of Barcelona, Regional Quantitative Analysis Group, number 201706, May, revised May 2017.
• Francesco Lamperti & Andrea Roventini & Amir Sani, 2017, "Agent-Based Model Calibration using Machine Learning Surrogates," Papers, arXiv.org, number 1703.10639, Mar, revised Apr 2017.
• Marco Pangallo & Torsten Heinrich & J Doyne Farmer, 2017, "Best reply structure and equilibrium convergence in generic games," Papers, arXiv.org, number 1704.05276, Apr, revised Sep 2018.
• Rupert Way & Franc{c}ois Lafond & Fabrizio Lillo & Valentyn Panchenko & J. Doyne Farmer, 2017, "Wright meets Markowitz: How standard portfolio theory changes when assets are technologies following experience curves," Papers, arXiv.org, number 1705.03423, May, revised Aug 2018.
• Yu-Wei Hsieh & Xiaoxia Shi & Matthew Shum, 2017, "Inference on Estimators defined by Mathematical Programming," Papers, arXiv.org, number 1709.09115, Sep.
• Carlos Esteban Posada & Alfredo Villca, 2017, "Is a «Soft» Monetary Authority Appropriate?," Ensayos de Política Económica, Departamento de Investigación Francisco Valsecchi, Facultad de Ciencias Económicas, Pontificia Universidad Católica Argentina., volume 2, issue 5, pages 57-77, Octubre.
• Le-Yu Chen & Sokbae (Simon) Lee, 2017, "Exact computation of GMM estimators for instrumental variable quantile regression models," CeMMAP working papers, Institute for Fiscal Studies, number 52/17, Nov, DOI: 10.1920/wp.cem.2017.5217.
• Iryna Fadyeyeva & Oksana Gryniuk, 2017, "Fuzzy Modelling In Risk Assessment Of Oil And Gas Production Enterprises' Activity," Baltic Journal of Economic Studies, Publishing house "Baltija Publishing", volume 3, issue 4, DOI: 10.30525/2256-0742/2017-3-4-256-264.
• Vladimir A. Masch, 2017, "¡°Shifting the Paradigm¡± in Superintelligence," Review of Economics & Finance, Better Advances Press, Canada, volume 8, pages 17-30, May.
• Maryna Tatar & Olena Sergienko & Sergii Kavun & Lidiya Guryanova, 2017, "Complex of Management Models of the Enterprise Competitiveness for Steel Industry in the Currency Instable Environment," Economic Studies journal, Bulgarian Academy of Sciences - Economic Research Institute, issue 5, pages 102-124.
• Andrea Nocera, 2017, "Estimation and Inference in Mixed Fixed and Random Coefficient Panel Data Models," Birkbeck Working Papers in Economics and Finance, Birkbeck, Department of Economics, Mathematics & Statistics, number 1703, Jun.
• Vadym Lepetyuk & Lilia Maliar & Serguei Maliar, 2017, "Should Central Banks Worry About Nonlinearities of their Large-Scale Macroeconomic Models?," Staff Working Papers, Bank of Canada, number 17-21, DOI: 10.34989/swp-2017-21.
• Jose Fique, 2017, "Retrieving Implied Financial Networks from Bank Balance-Sheet and Market Data," Staff Working Papers, Bank of Canada, number 17-30, DOI: 10.34989/swp-2017-30.
• Toni Ricardo Eugenio dos Santos & Marcio Issao Nakane, 2017, "Dynamic Bank Runs: an agent-based approach," Working Papers Series, Central Bank of Brazil, Research Department, number 465, Oct.
• Nicola Curci & Marco Savegnago & Marika Cioffi, 2017, "BIMic: the Bank of Italy microsimulation model for the Italian tax and benefit system," Questioni di Economia e Finanza (Occasional Papers), Bank of Italy, Economic Research and International Relations Area, number 394, Sep.
• Daniele Coin, 2017, "A goodness-of-fit test for Generalized Error Distribution," Temi di discussione (Economic working papers), Bank of Italy, Economic Research and International Relations Area, number 1096, Feb.
• Hector M. Zarate-Solano & Daniel R. Zapata-Sanabria, 2017, "Clustering and forecasting inflation expectations using the World Economic Survey: the case of the 2014 oil price shock on inflation targeting countries," Borradores de Economia, Banco de la Republica de Colombia, number 993, May, DOI: 10.32468/be.993.
• Jason Allen & Timothy Grieder & Tom Roberts & Brian Peterson, 2017, "The impact of macroprudential housing finance tools in Canada," BIS Working Papers, Bank for International Settlements, number 632, May.
• Alexey Ponomarenko & Andrey Sinyakov, 2017, "Impact of Banking Supervision Enhancement on Banking System Structure: Conclusions Delivered by Agent-Based Modelling," Bank of Russia Working Paper Series, Bank of Russia, number wps37, Jul.
• Nico Pestel & Eric Sommer, 2017, "Shifting Taxes from Labor to Consumption: More Employment and more Inequality?," Review of Income and Wealth, International Association for Research in Income and Wealth, volume 63, issue 3, pages 542-563, September.
• Chiranjit Chakraborty & Andreas Joseph, 2017, "Machine learning at central banks," Bank of England Staff Working Paper series, Bank of England, number 674, Sep.
• Miyajima Ken, 2017, "An Empirical Investigation of Oil-Macro-financial Linkages in Saudi Arabia," Review of Middle East Economics and Finance, De Gruyter, volume 13, issue 2, pages 1-15, August, DOI: 10.1515/rmeef-2017-0018.
• Ajevskis Viktors, 2017, "Semi-global solutions to DSGE models: perturbation around a deterministic path," Studies in Nonlinear Dynamics & Econometrics, De Gruyter, volume 21, issue 2, pages 1-28, April, DOI: 10.1515/snde-2016-0065.
• Chu Shiou-Yen & Shane Christopher, 2017, "Using the hybrid Phillips curve with memory to forecast US inflation," Studies in Nonlinear Dynamics & Econometrics, De Gruyter, volume 21, issue 4, pages 1-16, September, DOI: 10.1515/snde-2016-0088.
• Deininger, Sebastian & Maringer, Dietmar, 2017, "Channels of Sovereign Risk Spillovers and Investment in the Manufacturing Sector," Working papers, Faculty of Business and Economics - University of Basel, number 2017/07.
• Farmer, Leland E. & Toda, Alexis Akira, 2017, "Discretizing Nonlinear, Non-Gaussian Markov Processes with Exact Conditional Moments," University of California at San Diego, Economics Working Paper Series, Department of Economics, UC San Diego, number qt4jk1h0kk, May.
• Oscar Claveria & Enric Monte & Salvador Torra, 2017, "Using survey data to forecast real activity with evolutionary algorithms. A cross-country analysis," Journal of Applied Economics, Universidad del CEMA, volume 20, pages 329-349, November.
• Andrew Foote & Mark J. Kutzbach & Lars Vilhuber, 2017, "Recalculating... : How Uncertainty in Local Labor Market Definitions Affects Empirical Findings," Working Papers, Center for Economic Studies, U.S. Census Bureau, number 17-49, Jan.
• Tomas Klinger & Petr Teply, 2017, "Agent-Based Risk Assessment Model of the European Banking Network," CERGE-EI Working Papers, The Center for Economic Research and Graduate Education - Economics Institute, Prague, number wp602, Aug.
• Sander Renes & Floris Zoutman, 2017, "As Easy as ABC? Multidimensional Screening in Public Finance," CESifo Working Paper Series, CESifo, number 6301.
• Guglielmo Maria Caporale & Alex Plastun, 2017, "The Day of the Week Effect in the Crypto Currency Market," CESifo Working Paper Series, CESifo, number 6716.
• Juan Carlos Parra-Alvarez & Olaf Posch & Mu-Chun Wang, 2017, "Estimation of Heterogeneous Agent Models: A Likelihood Approach," CESifo Working Paper Series, CESifo, number 6717.
• Ricardo Crisóstomo, 2017, "Speed and biases of Fourier-based pricing choices: Analysis of the Bates and Asymmetric Variance Gamma models," CNMV Working Papers, CNMV- Spanish Securities Markets Commission - Research and Statistics Department, number CNMV Working Papers no. 6.
• Carlos E. Posada & Alfredo Villca, 2017, "¿Es conveniente una autoridad monetaria “blanda”?," Documentos de Trabajo de Valor Público, Universidad EAFIT, number 15673, Aug.
• Santiago Quintero Ramírez & Walter Lugo Ruiz Casta�eda & Jorge Robledo Vel�squez, 2017, "Representation of unlearning in the innovation systems: A proposal from agent-based modeling," Estudios Gerenciales, Universidad Icesi, volume 33, issue 145, pages 366-376.
• Leonardo Hernán Talero Sarmiento & uan Benjam�n Duarte-Duarte & Laura Daniela Garc�s-Carre�o, 2017, "La complejidad del mercado bursátil latinoamericano a partir de un modelo autómata celular conductual," Apuntes del Cenes, Universidad Pedagógica y Tecnológica de Colombia, volume 36, issue 64, pages 199-223.
• Henk-Wim de Boer & Egbert Jongen, 2017, "Optimal Income Support for Lone Parents in the Netherlands: Are We There Yet?," CPB Discussion Paper, CPB Netherlands Bureau for Economic Policy Analysis, number 361, Sep.
• Bianchi, Francesco & Nicolo, Giovanni, 2017, "A Generalized Approach to Indeterminacy in Linear Rational Expectations Models," CEPR Discussion Papers, Centre for Economic Policy Research, number 12130, Jul.
• Kollmann, Robert, 2017, "Tractable Likelihood-Based Estimation of Non-Linear DSGE Models," CEPR Discussion Papers, Centre for Economic Policy Research, number 12262, Aug.
• Mitman, Kurt & Boppart, Timo, 2017, "Exploiting MIT Shocks in Heterogeneous-Agent Economies: The Impulse Response as a Numerical Derivative," CEPR Discussion Papers, Centre for Economic Policy Research, number 12520, Dec.
• Cai, Yongyang & Judd, Kenneth L. & Lontzek, Thomas S. & Michelangeli, Valentina & Su, Che-Lin, 2017, "A Nonlinear Programming Method For Dynamic Programming," Macroeconomic Dynamics, Cambridge University Press, volume 21, issue 2, pages 336-361, March.
• Jaydip SEN & Tamal DATTA CHAUDHURI, 2017, "A Predictive Analysis of the Indian FMCG Sector using Time Series Decomposition - Based Approach," Journal of Economics Library, EconSciences Journals, volume 4, issue 2, pages 206-226, June.
• Michael R. Powers & Martin Shubik, 2017, "The Best and Worst of All Possible Worlds: Some Crude Evaluations," Cowles Foundation Discussion Papers, Cowles Foundation for Research in Economics, Yale University, number 2093, Jun.
• Robert J. Shiller & Rafal M. Wojakowski & M. Shahid Ebrahim & Mark B. Shackleton, 2017, "Continuous Workout Mortgages: Efficient Pricing and Systemic Implications," Cowles Foundation Discussion Papers, Cowles Foundation for Research in Economics, Yale University, number 2116, Dec.
• Florentin ŞERBAN & Anca-Teodora ŞERBAN-OPRESCU & George-Laurenţiu ŞERBAN-OPRESCU, 2017, "Appraisal of Scientific Research in European Countries. An Entropy-Based Analysis," ECONOMIC COMPUTATION AND ECONOMIC CYBERNETICS STUDIES AND RESEARCH, Faculty of Economic Cybernetics, Statistics and Informatics, volume 51, issue 1, pages 103-116.
• Zheng-Xin Wang, 2017, "A Weighted Non-linear Grey Bernoulli Model for Forecasting Non-linear Economic Time Series with Small Data Sets," ECONOMIC COMPUTATION AND ECONOMIC CYBERNETICS STUDIES AND RESEARCH, Faculty of Economic Cybernetics, Statistics and Informatics, volume 51, issue 1, pages 169-186.
• Radek DOSKOČIL & Karel DOUBRAVSKÝ, 2017, "Qualitative Evaluation of Knowledge Based Model of Project Time-Cost as Decision Making Support," ECONOMIC COMPUTATION AND ECONOMIC CYBERNETICS STUDIES AND RESEARCH, Faculty of Economic Cybernetics, Statistics and Informatics, volume 51, issue 1, pages 263-280.
• Morteza Yazdani & Ali Jahan & Ed. Kazimieras Zavadskas, 2017, "Analysis in Material Selection: Influence of Normalization Tools on COPRAS-G," ECONOMIC COMPUTATION AND ECONOMIC CYBERNETICS STUDIES AND RESEARCH, Faculty of Economic Cybernetics, Statistics and Informatics, volume 51, issue 1, pages 59-74.
• Santoyo Federico GONZÁLEZ & Romero Beatriz FLORES & Ana María GIL LAFUENTE & Juan FLORES J., 2017, "Fuzzy Logic in the Design of Public Policies: Application of Law," ECONOMIC COMPUTATION AND ECONOMIC CYBERNETICS STUDIES AND RESEARCH, Faculty of Economic Cybernetics, Statistics and Informatics, volume 51, issue 2, pages 281-290.
• Dilbagh PANCHAL & Prasenjit CHATTERJEE & Rajendra Kumar SHUKLA & Tanupriya CHOUDHURY & Jolanta TAMOSAITIENE, 2017, "Integrated Fuzzy AHP-Codas Framework for Maintenance Decision in Urea Fertilizer Industry," ECONOMIC COMPUTATION AND ECONOMIC CYBERNETICS STUDIES AND RESEARCH, Faculty of Economic Cybernetics, Statistics and Informatics, volume 51, issue 3, pages 179-196.
• Aleksandar Zaklan & Dawud Ansari & Claudia Kemfert, 2017, "Crude Oil: Market Trends and Simulations Point toward Stable Equilibrium," DIW Economic Bulletin, DIW Berlin, German Institute for Economic Research, volume 7, issue 51/52, pages 567-573.
• Aleksandar Zaklan & Dawud Ansari & Claudia Kemfert, 2017, "Rohöl: Marktdaten und Simulationen deuten auf stabiles Gleichgewicht hin," DIW Wochenbericht, DIW Berlin, German Institute for Economic Research, volume 84, issue 48, pages 1098-1104.
• Guglielmo Maria Caporale & Alex Plastun, 2017, "The Day of the Week Effect in the Crypto Currency Market," Discussion Papers of DIW Berlin, DIW Berlin, German Institute for Economic Research, number 1694.
• Frutos de Andres, Juan Carlos & Papsdorf, Patrick & Arciero, Luca & Hellqvist, Matti & Heyvaert, Patrick & Kaliontzoglou, Alexandros & König, Ronald & Korpinen, Kasperi & Martin, Clement & Müller, Ale, 2017, "Stress-Testing of liquidity risk in TARGET2," Occasional Paper Series, European Central Bank, number 183, Feb.
• Deinhammer, Harald & Ladi, Anna, 2017, "Modelling euro banknote quality in circulation," Occasional Paper Series, European Central Bank, number 204, Dec.
• Kok, Christoffer & Hałaj, Grzegorz & Hüser, Anne-Caroline & Perales, Cristian & van der Kraaij, Anton, 2017, "The systemic implications of bail-in: a multi-layered network approach," Working Paper Series, European Central Bank, number 2010, Feb.
• Farnè, Matteo & Vouldis, Angelos, 2017, "Business models of the banks in the euro area," Working Paper Series, European Central Bank, number 2070, May.
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• Irina Glazyrina & Sergey Lavlinskii, 2017, "Transaction Costs and Prospects for Public-private Partnership in the Russian Mineral Resourse Sector," International Journal of Economics and Financial Issues, Econjournals, volume 7, issue 1, pages 403-413.
• Maryam Hosseinzadeh & Saeed Daei-Karimzadeh, 2017, "Investigate the Effect of Exchange Rate Volatility on the Demand for Life Insurance in Iran," International Journal of Economics and Financial Issues, Econjournals, volume 7, issue 2, pages 166-174.
• Bertsch, Valentin & Geldermann, Jutta & Lühn, Tobias, 2017, "What drives the profitability of household PV investments, self-consumption and self-sufficiency?," Applied Energy, Elsevier, volume 204, issue C, pages 1-15, DOI: 10.1016/j.apenergy.2017.06.055.
• Druedahl, Jeppe & Jørgensen, Thomas Høgholm, 2017, "A general endogenous grid method for multi-dimensional models with non-convexities and constraints," Journal of Economic Dynamics and Control, Elsevier, volume 74, issue C, pages 87-107, DOI: 10.1016/j.jedc.2016.11.005.
• Fischer, Thomas, 2017, "Thomas Piketty and the rate of time preference," Journal of Economic Dynamics and Control, Elsevier, volume 77, issue C, pages 111-133, DOI: 10.1016/j.jedc.2017.02.006.
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• Alós-Ferrer, Carlos & Buckenmaier, Johannes, 2017, "Cournot vs. Walras: A reappraisal through simulations," Journal of Economic Dynamics and Control, Elsevier, volume 82, issue C, pages 257-272, DOI: 10.1016/j.jedc.2017.07.001.
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• Halkos, George E. & Tsilika, Kyriaki D., 2017, "Climate change effects and their interactions: An analysis aiming at policy implications," Economic Analysis and Policy, Elsevier, volume 53, issue C, pages 140-146, DOI: 10.1016/j.eap.2017.01.005.
• Halkos, George & Managi, Shunsuke & Tsilika, Kyriaki, 2017, "Evaluating a continent-wise situation for capital data," Economic Analysis and Policy, Elsevier, volume 55, issue C, pages 57-74, DOI: 10.1016/j.eap.2017.05.003.
• Nonejad, Nima, 2017, "Parameter instability, stochastic volatility and estimation based on simulated likelihood: Evidence from the crude oil market," Economic Modelling, Elsevier, volume 61, issue C, pages 388-408, DOI: 10.1016/j.econmod.2016.11.003.
• Gaffeo, Edoardo & Molinari, Massimo, 2017, "Taxing financial transactions in fundamentally heterogeneous markets," Economic Modelling, Elsevier, volume 64, issue C, pages 322-333, DOI: 10.1016/j.econmod.2017.04.003.
• He, Chuantian & Li, Chunding & Wang, Jing & Whalley, John, 2017, "The Armington assumption and the size of optimal tariffs," Economic Modelling, Elsevier, volume 66, issue C, pages 214-222, DOI: 10.1016/j.econmod.2017.07.003.
• Sebestyén, Tamás, 2017, "Moving beyond the iceberg model: The role of trade relations in endogenizing transportation costs in computable general equilibrium models," Economic Modelling, Elsevier, volume 67, issue C, pages 159-174, DOI: 10.1016/j.econmod.2016.11.015.
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• Cerqueti, Roy & Falbo, Paolo & Pelizzari, Cristian, 2017, "Relevant states and memory in Markov chain bootstrapping and simulation," European Journal of Operational Research, Elsevier, volume 256, issue 1, pages 163-177, DOI: 10.1016/j.ejor.2016.06.006.
• Kern, Jordan D. & Characklis, Gregory W., 2017, "Low natural gas prices and the financial cost of ramp rate restrictions at hydroelectric dams," Energy Economics, Elsevier, volume 61, issue C, pages 340-350, DOI: 10.1016/j.eneco.2016.12.002.
• Pal, Debdatta & Mitra, Subrata K., 2017, "Time-frequency contained co-movement of crude oil and world food prices: A wavelet-based analysis," Energy Economics, Elsevier, volume 62, issue C, pages 230-239, DOI: 10.1016/j.eneco.2016.12.020.
• Zhu, Lei & Zhang, Xiao-Bing & Li, Yuan & Wang, Xu & Guo, Jianxin, 2017, "Can an emission trading scheme promote the withdrawal of outdated capacity in energy-intensive sectors? A case study on China's iron and steel industry," Energy Economics, Elsevier, volume 63, issue C, pages 332-347, DOI: 10.1016/j.eneco.2017.02.004.
• Costa, Oswaldo L.V. & de Oliveira Ribeiro, Celma & Rego, Erik Eduardo & Stern, Julio Michael & Parente, Virginia & Kileber, Solange, 2017, "Robust portfolio optimization for electricity planning: An application based on the Brazilian electricity mix," Energy Economics, Elsevier, volume 64, issue C, pages 158-169, DOI: 10.1016/j.eneco.2017.03.021.
• Cardin, Michel-Alexandre & Zhang, Sizhe & Nuttall, William J., 2017, "Strategic real option and flexibility analysis for nuclear power plants considering uncertainty in electricity demand and public acceptance," Energy Economics, Elsevier, volume 64, issue C, pages 226-237, DOI: 10.1016/j.eneco.2017.03.023.
• Pinheiro Neto, Daywes & Domingues, Elder Geraldo & Coimbra, António Paulo & de Almeida, Aníbal Traça & Alves, Aylton José & Calixto, Wesley Pacheco, 2017, "Portfolio optimization of renewable energy assets: Hydro, wind, and photovoltaic energy in the regulated market in Brazil," Energy Economics, Elsevier, volume 64, issue C, pages 238-250, DOI: 10.1016/j.eneco.2017.03.020.
• de Boer, Harmen Sytze (H.S.) & van Vuuren, Detlef (D.P.), 2017, "Representation of variable renewable energy sources in TIMER, an aggregated energy system simulation model," Energy Economics, Elsevier, volume 64, issue C, pages 600-611, DOI: 10.1016/j.eneco.2016.12.006.
• Pechan, A., 2017, "Where do all the windmills go? Influence of the institutional setting on the spatial distribution of renewable energy installation," Energy Economics, Elsevier, volume 65, issue C, pages 75-86, DOI: 10.1016/j.eneco.2017.04.034.
• Mensi, Walid & Tiwari, Aviral & Bouri, Elie & Roubaud, David & Al-Yahyaee, Khamis H., 2017, "The dependence structure across oil, wheat, and corn: A wavelet-based copula approach using implied volatility indexes," Energy Economics, Elsevier, volume 66, issue C, pages 122-139, DOI: 10.1016/j.eneco.2017.06.007.
• Zhao, Yang & Li, Jianping & Yu, Lean, 2017, "A deep learning ensemble approach for crude oil price forecasting," Energy Economics, Elsevier, volume 66, issue C, pages 9-16, DOI: 10.1016/j.eneco.2017.05.023.
• Insley, Margaret, 2017, "Resource extraction with a carbon tax and regime switching prices: Exercising your options," Energy Economics, Elsevier, volume 67, issue C, pages 1-16, DOI: 10.1016/j.eneco.2017.07.013.
• Bell, William Paul & Wild, Phillip & Foster, John & Hewson, Michael, 2017, "Revitalising the wind power induced merit order effect to reduce wholesale and retail electricity prices in Australia," Energy Economics, Elsevier, volume 67, issue C, pages 224-241, DOI: 10.1016/j.eneco.2017.08.003.
• Dumortier, Jerome & Kauffman, Nathan & Hayes, Dermot J., 2017, "Production and spatial distribution of switchgrass and miscanthus in the United States under uncertainty and sunk cost," Energy Economics, Elsevier, volume 67, issue C, pages 300-314, DOI: 10.1016/j.eneco.2017.08.023.
• Newbery, David M. & Greve, Thomas, 2017, "The strategic robustness of oligopoly electricity market models," Energy Economics, Elsevier, volume 68, issue C, pages 124-132, DOI: 10.1016/j.eneco.2017.09.020.