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

2017

• 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 working papers, 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.
• Tobback, Ellen & Nardelli, Stefano & Martens, David, 2017, "Between hawks and doves: measuring central bank communication," Working Paper Series, European Central Bank, number 2085, Jul.
• Consiglio, A. & Zenios, S. A., 2017, "Pricing and Hedging GDP-Linked Bonds in Incomplete Markets," Working Papers, University of Pennsylvania, Wharton School, Weiss Center, number 17-02.
• 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.
• Berardi, Michele & Galimberti, Jaqueson K., 2017, "On the initialization of adaptive learning in macroeconomic models," Journal of Economic Dynamics and Control, Elsevier, volume 78, issue C, pages 26-53, DOI: 10.1016/j.jedc.2017.03.002.
• Levintal, Oren, 2017, "Fifth-order perturbation solution to DSGE models," Journal of Economic Dynamics and Control, Elsevier, volume 80, issue C, pages 1-16, DOI: 10.1016/j.jedc.2017.04.007.
• Dosi, G. & Pereira, M.C. & Roventini, A. & Virgillito, M.E., 2017, "When more flexibility yields more fragility: The microfoundations of Keynesian aggregate unemployment," Journal of Economic Dynamics and Control, Elsevier, volume 81, issue C, pages 162-186, DOI: 10.1016/j.jedc.2017.02.005.
• Llacay, Bàrbara & Peffer, Gilbert, 2017, "Impact of value-at-risk models on market stability," Journal of Economic Dynamics and Control, Elsevier, volume 82, issue C, pages 223-256, DOI: 10.1016/j.jedc.2017.07.002.
• 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.
• Yang, Nian & Chen, Nan & Liu, Yanchu & Wan, Xiangwei, 2017, "Approximate arbitrage-free option pricing under the SABR model," Journal of Economic Dynamics and Control, Elsevier, volume 83, issue C, pages 198-214, DOI: 10.1016/j.jedc.2017.08.004.
• Kukacka, Jiri & Barunik, Jozef, 2017, "Estimation of financial agent-based models with simulated maximum likelihood," Journal of Economic Dynamics and Control, Elsevier, volume 85, issue C, pages 21-45, DOI: 10.1016/j.jedc.2017.09.006.
• 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.
• Balint, T. & Lamperti, F. & Mandel, A. & Napoletano, M. & Roventini, A. & Sapio, A., 2017, "Complexity and the Economics of Climate Change: A Survey and a Look Forward," Ecological Economics, Elsevier, volume 138, issue C, pages 252-265, DOI: 10.1016/j.ecolecon.2017.03.032.
• Phillips, Kerk L., 2017, "Solving and simulating unbalanced growth models using linearization about the current state," Economics Letters, Elsevier, volume 151, issue C, pages 35-38, DOI: 10.1016/j.econlet.2016.11.035.
• Aziz, Haris & Luo, Pang & Rizkallah, Christine, 2017, "Incompatibility of efficiency and strategyproofness in the random assignment setting with indifferences," Economics Letters, Elsevier, volume 160, issue C, pages 46-49, DOI: 10.1016/j.econlet.2017.08.010.
• Kollmann, Robert, 2017, "Tractable likelihood-based estimation of non-linear DSGE models," Economics Letters, Elsevier, volume 161, issue C, pages 90-92, DOI: 10.1016/j.econlet.2017.08.027.
• Kristensen, Dennis & Salanié, Bernard, 2017, "Higher-order properties of approximate estimators," Journal of Econometrics, Elsevier, volume 198, issue 2, pages 189-208, DOI: 10.1016/j.jeconom.2016.10.008.
• 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.
• Ringler, Philipp & Keles, Dogan & Fichtner, Wolf, 2017, "How to benefit from a common European electricity market design," Energy Policy, Elsevier, volume 101, issue C, pages 629-643, DOI: 10.1016/j.enpol.2016.11.011.
• Ansari, Dawud, 2017, "OPEC, Saudi Arabia, and the shale revolution: Insights from equilibrium modelling and oil politics," Energy Policy, Elsevier, volume 111, issue C, pages 166-178, DOI: 10.1016/j.enpol.2017.09.010.
• Lykidi, Maria & Gourdel, Pascal, 2017, "Optimal management of flexible nuclear power plants in a decarbonising competitive electricity market: The French case," Energy, Elsevier, volume 132, issue C, pages 171-185, DOI: 10.1016/j.energy.2017.05.065.
• Brekke, Kjell Arne & Golombek, Rolf & Kaut, Michal & Kittelsen, Sverre A.C. & Wallace, Stein W., 2017, "Stochastic energy market equilibrium modeling with multiple agents," Energy, Elsevier, volume 134, issue C, pages 984-990, DOI: 10.1016/j.energy.2017.06.056.
• Hougaard, Jens Leth & Kronborg, Dorte & Smilgins, Aleksandrs, 2017, "Fair division of costs in green energy markets," Energy, Elsevier, volume 139, issue C, pages 220-230, DOI: 10.1016/j.energy.2017.06.122.
• Jun, Doobae & Ku, Hyejin, 2017, "Closed-form solutions for options with random initiation under asset price monitoring," Finance Research Letters, Elsevier, volume 20, issue C, pages 68-74, DOI: 10.1016/j.frl.2016.09.009.
• Johnston, Craig M.T. & van Kooten, G. Cornelis, 2017, "Impact of inefficient quota allocation under the Canada-U.S. softwood lumber dispute: A calibrated mixed complementarity approach," Forest Policy and Economics, Elsevier, volume 74, issue C, pages 71-80, DOI: 10.1016/j.forpol.2016.10.013.
• Wellman, Michael P. & Sodomka, Eric & Greenwald, Amy, 2017, "Self-confirming price-prediction strategies for simultaneous one-shot auctions," Games and Economic Behavior, Elsevier, volume 102, issue C, pages 339-372, DOI: 10.1016/j.geb.2017.01.007.
• Thompson, David R.M. & Leyton-Brown, Kevin, 2017, "Computational analysis of perfect-information position auctions," Games and Economic Behavior, Elsevier, volume 102, issue C, pages 583-623, DOI: 10.1016/j.geb.2017.02.009.
• Cantia, Catalin & Tunaru, Radu, 2017, "A factor model for joint default probabilities. Pricing of CDS, index swaps and index tranches," Insurance: Mathematics and Economics, Elsevier, volume 72, issue C, pages 21-35, DOI: 10.1016/j.insmatheco.2016.10.004.
• de Andrés-Sánchez, Jorge & González-Vila Puchades, Laura, 2017, "The valuation of life contingencies: A symmetrical triangular fuzzy approximation," Insurance: Mathematics and Economics, Elsevier, volume 72, issue C, pages 83-94, DOI: 10.1016/j.insmatheco.2016.11.002.
• Mezőfi, Balázs & Niedermayer, Andras & Niedermayer, Daniel & Süli, Balázs Márton, 2017, "Solvency II reporting: How to interpret funds’ aggregate solvency capital requirement figures," Insurance: Mathematics and Economics, Elsevier, volume 76, issue C, pages 164-171, DOI: 10.1016/j.insmatheco.2017.08.003.
• Beltran, Daniel O. & Cordell, Larry & Thomas, Charles P., 2017, "Asymmetric information and the death of ABS CDOs," Journal of Banking & Finance, Elsevier, volume 76, issue C, pages 1-14, DOI: 10.1016/j.jbankfin.2016.11.008.
• García-Céspedes, Rubén & Moreno, Manuel, 2017, "An approximate multi-period Vasicek credit risk model," Journal of Banking & Finance, Elsevier, volume 81, issue C, pages 105-113, DOI: 10.1016/j.jbankfin.2017.05.002.
• Popoyan, Lilit & Napoletano, Mauro & Roventini, Andrea, 2017, "Taming macroeconomic instability: Monetary and macro-prudential policy interactions in an agent-based model," Journal of Economic Behavior & Organization, Elsevier, volume 134, issue C, pages 117-140, DOI: 10.1016/j.jebo.2016.12.017.
• Ashraf, Quamrul & Gershman, Boris & Howitt, Peter, 2017, "Banks, market organization, and macroeconomic performance: An agent-based computational analysis," Journal of Economic Behavior & Organization, Elsevier, volume 135, issue C, pages 143-180, DOI: 10.1016/j.jebo.2016.12.023.
• Kopányi, Dávid, 2017, "The coexistence of stable equilibria under least squares learning," Journal of Economic Behavior & Organization, Elsevier, volume 141, issue C, pages 277-300, DOI: 10.1016/j.jebo.2017.06.005.
• Aldasoro, Iñaki & Delli Gatti, Domenico & Faia, Ester, 2017, "Bank networks: Contagion, systemic risk and prudential policy," Journal of Economic Behavior & Organization, Elsevier, volume 142, issue C, pages 164-188, DOI: 10.1016/j.jebo.2017.05.022.
• Xiang, Hongjin & Kuang, Yanxiang & Li, Chenhua, 2017, "Impact of the China–Australia FTA on global coal production and trade," Journal of Policy Modeling, Elsevier, volume 39, issue 1, pages 65-78, DOI: 10.1016/j.jpolmod.2017.01.001.
• Crowley, Patrick M. & Hudgins, David, 2017, "Wavelet-based monetary and fiscal policy in the Euro area," Journal of Policy Modeling, Elsevier, volume 39, issue 2, pages 206-231, DOI: 10.1016/j.jpolmod.2017.01.005.
• Traber, Thure, 2017, "Capacity Remuneration Mechanisms for Reliability in the Integrated European Electricity Market: Effects on Welfare and Distribution through 2023," Utilities Policy, Elsevier, volume 46, issue C, pages 1-14, DOI: 10.1016/j.jup.2016.10.005.
• Bouleau, Nicolas & Chorro, Christophe, 2017, "The impact of randomness on the distribution of wealth: Some economic aspects of the Wright–Fisher diffusion process," Physica A: Statistical Mechanics and its Applications, Elsevier, volume 479, issue C, pages 379-395, DOI: 10.1016/j.physa.2017.03.017.
• Abrell, Jan & Rausch, Sebastian, 2017, "Combining price and quantity controls under partitioned environmental regulation," Journal of Public Economics, Elsevier, volume 145, issue C, pages 226-242, DOI: 10.1016/j.jpubeco.2016.11.018.
• Jacobs, Bas & Jongen, Egbert L.W. & Zoutman, Floris T., 2017, "Revealed social preferences of Dutch political parties," Journal of Public Economics, Elsevier, volume 156, issue C, pages 81-100, DOI: 10.1016/j.jpubeco.2017.08.002.
• Chen, Yong & Irwin, Elena G. & Jayaprakash, Ciriyam & Irwin, Nicholas B., 2017, "Market thinness, income sorting and leapfrog development across the urban-rural gradient," Regional Science and Urban Economics, Elsevier, volume 66, issue C, pages 213-223, DOI: 10.1016/j.regsciurbeco.2017.07.001.
• Jadhao, Gaurav & Chandra, Abhijeet, 2017, "Application of VIX and entropy indicators for portfolio rotation strategies," Research in International Business and Finance, Elsevier, volume 42, issue C, pages 1367-1371, DOI: 10.1016/j.ribaf.2017.07.074.
• Jungeilges, Jochen & Ryazanova, Tatyana, 2017, "Noise-induced transitions in a stochastic Goodwin-type business cycle model," Structural Change and Economic Dynamics, Elsevier, volume 40, issue C, pages 103-115, DOI: 10.1016/j.strueco.2017.01.003.
• Zambelli, Stefano & Fredholm, Thomas & Venkatachalam, Ragupathy, 2017, "Robust measurement of national technological progress," Structural Change and Economic Dynamics, Elsevier, volume 42, issue C, pages 38-55, DOI: 10.1016/j.strueco.2017.05.001.
• Garas, Antonios & Lapatinas, Athanasios, 2017, "The role of consumer networks in firmsÂ’ multi-characteristics competition and market share inequality," Structural Change and Economic Dynamics, Elsevier, volume 43, issue C, pages 76-86, December.
• Herrmann, J.K. & Savin, I., 2017, "Optimal policy identification: Insights from the German electricity market," Technological Forecasting and Social Change, Elsevier, volume 122, issue C, pages 71-90, DOI: 10.1016/j.techfore.2017.04.014.
• Yang, Lin & Kwan, Mei-Po & Pan, Xiaofang & Wan, Bo & Zhou, Shunping, 2017, "Scalable space-time trajectory cube for path-finding: A study using big taxi trajectory data," Transportation Research Part B: Methodological, Elsevier, volume 101, issue C, pages 1-27, DOI: 10.1016/j.trb.2017.03.010.
• Ana Paula Martins, 2017, "Estimation of Possibly Non-Stationary First-Order Auto-Regressive Processes," Journal of Economics and Econometrics, Economics and Econometrics Society, volume 60, issue 1, pages 52-73.
• Robert Kollmann, 2017, "Tractable Likelihood-Based Estimation of Non- Linear DSGE Models," CAMA Working Papers, Centre for Applied Macroeconomic Analysis, Crawford School of Public Policy, The Australian National University, number 2017-55, Sep.
• Dassios, Angelos & Zhao, Hongbiao, 2017, "Efficient simulation of clustering jumps with CIR intensity," LSE Research Online Documents on Economics, London School of Economics and Political Science, LSE Library, number 74205, Nov.
• Jakub Growiec & Bogumił Kamiński & Katarzyna Growiec, 2017, "Social Network Structure and The Trade-Off Between Social Utility and Economic Performance," EcoMod2017, EcoMod, number 10279, Jul.
• Guilherme Jonas C. da Silva & Júlio Fernando Costa Santos & Lívia Nalesso Baptista, 2017, "A Lei de Thirlwall multissetorial com fluxos de capitais: Uma análise do plano nacional de exportações (2015-2018) usando simulações computacionais," Brazilian Journal of Political Economy, FGV EAESP, volume 37, issue 3, pages 636-655, February, DOI: 10.1590/0101-31572017v37n03a10.
• Michael Roos, 2017, "Behavioral and complexity macroeconomics," European Journal of Economics and Economic Policies: Intervention, Edward Elgar Publishing, volume 14, issue 2, pages 186-199, September.
• Antonin Pottier & Adrien Nguyen-Huu, 2017, "Debt and investment in the Keen model: a reappraisal of modelling Minsky," Review of Keynesian Economics, Edward Elgar Publishing, volume 5, issue 4, pages 631–647-6, October.
• Nelson Alfonso Gómez-Cruz & Isabella Loaiza Saa & Francisco Fernando Ortega Hurtado, 2017, "Agent-based simulation in management and organizational studies: a survey," European Journal of Management and Business Economics, Emerald Group Publishing Limited, volume 26, issue 3, pages 313-328, October, DOI: 10.1108/EJMBE-10-2017-018.
• Farzad Taheripour & Wallace E. Tyner, 2017, "What Would Happen If We Don’t Have GMO Traits?," Frontiers of Economics and Globalization, Emerald Group Publishing Limited, "World Agricultural Resources and Food Security", DOI: 10.1108/S1574-871520170000017005.
• Daniel Harenberg & Stefano Marelli & Bruno Sudret & Viktor Winschel, 2017, "Uncertainty Quantification and Global Sensitivity Analysis for Economic Models," CER-ETH Economics working paper series, CER-ETH - Center of Economic Research (CER-ETH) at ETH Zurich, number 17/265, Jan.
• Christos Karydas & Lin Zhang, 2017, "Green tax reform, endogenous innovation and the growth dividend," CER-ETH Economics working paper series, CER-ETH - Center of Economic Research (CER-ETH) at ETH Zurich, number 17/266, Jan.
• Elisa Palagi & Mauro Napoletano & Andrea Roventini & Jean-Luc Gaffard, 2017, "Inequality, Redistributive Policies and multipliers dynamics in an agent based model with Credit rationing," Documents de Travail de l'OFCE, Observatoire Francais des Conjonctures Economiques (OFCE), number 2017-06, Jan.
• Giovanni Dosi & Marcelo C. Pereira & Andrea Roventini & Maria Enrica Virgillito, 2017, "Causes and consequences of hysteresis : aggregate demand, productivity and employment," Documents de Travail de l'OFCE, Observatoire Francais des Conjonctures Economiques (OFCE), number 2017-07, Mar.
• Frencesco Lamperti & Andrea Roventini & Amir Sani, 2017, "Agent-based model calibration using machine learning surrogates," Documents de Travail de l'OFCE, Observatoire Francais des Conjonctures Economiques (OFCE), number 2017-09, Mar.
• Francesco Lamperti & Giovanni Dosi & Mauro Napoletano & Andrea Roventini & Alessandro Sapio, 2017, "Faraway, so close : coupled climate and economic dynamics in an agent based integrated assessment model," Documents de Travail de l'OFCE, Observatoire Francais des Conjonctures Economiques (OFCE), number 2017-10, Apr.
• Giorgio Ffagiolo & Daniele Giachini & Andrea Roventini, 2017, "Innovation, Finance, and Economic Growth : an agent based approach," Documents de Travail de l'OFCE, Observatoire Francais des Conjonctures Economiques (OFCE), number 2017-28, Nov.
• Alberto Cardaci & Francesco Saraceno, 2017, "Inequality and Imbalances : a Monetary Union Agent-Based Model," Documents de Travail de l'OFCE, Observatoire Francais des Conjonctures Economiques (OFCE), number 2017-30, Dec.
• Giovanni Dosi & Mauro Napoletano & Andrea Roventini & Joseph Stiglitz & Tania Treibich, 2017, "Rational Heuristics ? Expectations and behaviours in evolving economies with heterogeneous interacting agents," Documents de Travail de l'OFCE, Observatoire Francais des Conjonctures Economiques (OFCE), number 2017-32, Dec.
• Enrica De Cian & Shouro Dasgupta & Andries F. Hof & Mariësse A.E. van Sluisveld & Jonathan Köhler & Benjamin Pfluger & Detlef P. van Vuuren, 2017, "Actors, Decision-making, and Institutions in Quantitative System Modelling," Working Papers, Fondazione Eni Enrico Mattei, number 2017.46, Sep.
• In-Koo Cho & Kenneth Kasa, 2017, "Model Averaging and Persistent Disagreement," Review, Federal Reserve Bank of St. Louis, volume 99, issue 3, pages 279-294, DOI: 10.20955/r.2017.279-294.
• Reiner Wolff, 2017, "The Integer Nucleolus of Directed Simple Games: A Characterization and an Algorithm," Games, MDPI, volume 8, issue 1, pages 1-12, February.
• Rui Pedro Brito & Hélder Sebastião & Pedro Godinho, 2017, "On the gains of using high frequency data and higher moments in Portfolio Selection," CeBER Working Papers, Centre for Business and Economics Research (CeBER), University of Coimbra, number 2017-02, Feb.
• Alexandru Monahov & Thomas Jobert, 2017, "Case Study of the Moldovan Bank Fraud: Is Early Intervention the Best Central Bank Strategy to Avoid Financial Crises?," GREDEG Working Papers, Groupe de REcherche en Droit, Economie, Gestion (GREDEG CNRS), Université Côte d'Azur, France, number 2017-07, Mar.
• Elisa Palagi & Mauro Napoletano & Andrea Roventini & Jean-Luc Gaffard, 2017, "Inequality, Redistributive Policies and Multiplier Dynamics in an Agent-Based Model with Credit Rationing," GREDEG Working Papers, Groupe de REcherche en Droit, Economie, Gestion (GREDEG CNRS), Université Côte d'Azur, France, number 2017-39, Dec.
• Francesco Lamperti & Andrea Roventini & Amir Sani, 2017, "Agent-Based Model Calibration using Machine Learning Surrogates," Université Paris1 Panthéon-Sorbonne (Post-Print and Working Papers), HAL, number hal-01499344, Apr.
• Solmaria Halleck Vega & Antoine Mandel, 2017, "A network-based approach to technology transfers in the context of climate policy," Université Paris1 Panthéon-Sorbonne (Post-Print and Working Papers), HAL, number halshs-01483963, Jan.
• T. Balint & F. Lamperti & Antoine Mandel & Mauro Napoletano & A. Roventini & A. Sapio, 2017, "Complexity and the Economics of Climate Change: A Survey and a Look Forward," Université Paris1 Panthéon-Sorbonne (Post-Print and Working Papers), HAL, number halshs-01906003, Aug, DOI: 10.1016/j.ecolecon.2017.03.032.
• Pascal Seppecher & Isabelle Salle & Dany Lang, 2019, "Is the market really a good teacher ? Market selection, collective adaptation and financial instability," Post-Print, HAL, number hal-01532903, Mar, DOI: 10.1007/s00191-018-0571-7.
• Eric Brouillat & Maïder Saint Jean & Nabila Arfaoui, 2017, "“Reach for the sky”: modeling the impact of policy stringency on industrial dynamics in the case of the REACH regulation," Post-Print, HAL, number hal-02502669, Dec, DOI: 10.1093/icc/dtx029.
• Jean-Luc Gaffard & Mauro Napoletano & Andrea Roventini, 2017, "Time-varying fiscal multipliers in an agent based model with credit-rationing," Post-Print, HAL, number hal-03455367, Dec.
• Elisa Palagi & Mauro Napoletano & Andrea Roventini & Jean-Luc Gaffard, 2017, "Inequality, Redistributive Policies and Multiplier Dynamics in an Agent-based Model with Credit Rationing," Post-Print, HAL, number hal-03455401, Nov, DOI: 10.1007/s40797-017-0055-1.
• Sylvain Barde, 2017, "A Practical, Accurate, Information Criterion for Nth Order Markov Processes," Post-Print, HAL, number hal-03471817, Mar, DOI: 10.1007/s10614-016-9617-9.