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

2023

• Palagi, Elisa & Napoletano, Mauro & Roventini, Andrea & Gaffard, Jean-Luc, 2023, "An agent-based model of trickle-up growth and income inequality," Economic Modelling, Elsevier, volume 129, issue C, DOI: 10.1016/j.econmod.2023.106535.
• Decker, Christian, 2023, "The order of move in a conversational war of attrition," Economics Letters, Elsevier, volume 228, issue C, DOI: 10.1016/j.econlet.2023.111181.
• Martins, Manuel M.F. & Verona, Fabio, 2023, "Inflation dynamics in the frequency domain," Economics Letters, Elsevier, volume 231, issue C, DOI: 10.1016/j.econlet.2023.111304.
• Csató, László, 2023, "How to avoid uncompetitive games? The importance of tie-breaking rules," European Journal of Operational Research, Elsevier, volume 307, issue 3, pages 1260-1269, DOI: 10.1016/j.ejor.2022.11.015.
• Astill, Sam & Taylor, A.M. Robert & Kellard, Neil & Korkos, Ioannis, 2023, "Using covariates to improve the efficacy of univariate bubble detection methods," Journal of Empirical Finance, Elsevier, volume 70, issue C, pages 342-366, DOI: 10.1016/j.jempfin.2022.12.008.
• Grochowicz, Aleksander & van Greevenbroek, Koen & Benth, Fred Espen & Zeyringer, Marianne, 2023, "Intersecting near-optimal spaces: European power systems with more resilience to weather variability," Energy Economics, Elsevier, volume 118, issue C, DOI: 10.1016/j.eneco.2022.106496.
• Saâdaoui, Foued & Ben Jabeur, Sami, 2023, "Analyzing the influence of geopolitical risks on European power prices using a multiresolution causal neural network," Energy Economics, Elsevier, volume 124, issue C, DOI: 10.1016/j.eneco.2023.106793.
• Turco, Enrico & Bazzana, Davide & Rizzati, Massimiliano & Ciola, Emanuele & Vergalli, Sergio, 2023, "Energy price shocks and stabilization policies in the MATRIX model," Energy Policy, Elsevier, volume 177, issue C, DOI: 10.1016/j.enpol.2023.113567.
• Miljkovic, Dragan & Vatsa, Puneet, 2023, "On the linkages between energy and agricultural commodity prices: A dynamic time warping analysis," International Review of Financial Analysis, Elsevier, volume 90, issue C, DOI: 10.1016/j.irfa.2023.102834.
• 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, volume 56, issue C, DOI: 10.1016/j.frl.2023.104085.
• Uddin, Ajim & Tao, Xinyuan & Yu, Dantong, 2023, "Attention based dynamic graph neural network for asset pricing," Global Finance Journal, Elsevier, volume 58, issue C, DOI: 10.1016/j.gfj.2023.100900.
• Pál, László & Sándor, Zsolt, 2023, "Comparing procedures for estimating random coefficient logit demand models with a special focus on obtaining global optima," International Journal of Industrial Organization, Elsevier, volume 88, issue C, DOI: 10.1016/j.ijindorg.2023.102950.
• Dang, Ou & Feng, Mingbin & Hardy, Mary R., 2023, "Two-stage nested simulation of tail risk measurement: A likelihood ratio approach," Insurance: Mathematics and Economics, Elsevier, volume 108, issue C, pages 1-24, DOI: 10.1016/j.insmatheco.2022.10.002.
• Barczy, Mátyás & K. Nedényi, Fanni & Sütő, László, 2023, "Probability equivalent level of Value at Risk and higher-order Expected Shortfalls," Insurance: Mathematics and Economics, Elsevier, volume 108, issue C, pages 107-128, DOI: 10.1016/j.insmatheco.2022.11.004.
• He, Yue & Kawai, Reiichiro & Shimizu, Yasutaka & Yamazaki, Kazutoshi, 2023, "The Gerber-Shiu discounted penalty function: A review from practical perspectives," Insurance: Mathematics and Economics, Elsevier, volume 109, issue C, pages 1-28, DOI: 10.1016/j.insmatheco.2022.12.003.
• Fontana, Claudio & Rotondi, Francesco, 2023, "Valuation of general GMWB annuities in a low interest rate environment," Insurance: Mathematics and Economics, Elsevier, volume 112, issue C, pages 142-167, DOI: 10.1016/j.insmatheco.2023.07.003.
• Bravo, Jorge M. & Ayuso, Mercedes & Holzmann, Robert & Palmer, Edward, 2023, "Intergenerational actuarial fairness when longevity increases: Amending the retirement age," Insurance: Mathematics and Economics, Elsevier, volume 113, issue C, pages 161-184, DOI: 10.1016/j.insmatheco.2023.08.007.
• Ahmad, Jamaal & Bladt, Mogens & Furrer, Christian, 2023, "Aggregate Markov models in life insurance: Properties and valuation," Insurance: Mathematics and Economics, Elsevier, volume 113, issue C, pages 50-69, DOI: 10.1016/j.insmatheco.2023.07.006.
• Wiersema, Garbrand & Kleinnijenhuis, Alissa M. & Wetzer, Thom & Farmer, J. Doyne, 2023, "Scenario-free analysis of financial stability with interacting contagion channels," Journal of Banking & Finance, Elsevier, volume 146, issue C, DOI: 10.1016/j.jbankfin.2022.106684.
• Ladley, Daniel & Rousseau, Peter L., 2023, "Panic and propagation in 1873: A network analytic approach," Journal of Banking & Finance, Elsevier, volume 151, issue C, DOI: 10.1016/j.jbankfin.2023.106844.
• Faccini, Renato & Matin, Rastin & Skiadopoulos, George, 2023, "Dissecting climate risks: Are they reflected in stock prices?," Journal of Banking & Finance, Elsevier, volume 155, issue C, DOI: 10.1016/j.jbankfin.2023.106948.
• Sordi, Serena & Dávila-Fernández, Marwil J., 2023, "The green-MKS system: A baseline environmental macro-dynamic model," Journal of Economic Behavior & Organization, Elsevier, volume 212, issue C, pages 1056-1085, DOI: 10.1016/j.jebo.2023.06.023.
• Dosi, Giovanni & Palagi, Elisa & Roventini, Andrea & Russo, Emanuele, 2023, "Do patents really foster innovation in the pharmaceutical sector? Results from an evolutionary, agent-based model," Journal of Economic Behavior & Organization, Elsevier, volume 212, issue C, pages 564-589, DOI: 10.1016/j.jebo.2023.05.039.
• Davids, Allan & du Rand, Gideon & Georg, Co-Pierre & Koziol, Tina & Schasfoort, Joeri, 2023, "Social learning in a network model of Covid-19," Journal of Economic Behavior & Organization, Elsevier, volume 213, issue C, pages 271-304, DOI: 10.1016/j.jebo.2023.07.010.
• Pavlov, Oleg V. & Katsamakas, Evangelos, 2023, "Tuition too high? Blame competition," Journal of Economic Behavior & Organization, Elsevier, volume 213, issue C, pages 409-431, DOI: 10.1016/j.jebo.2023.07.030.
• Vallès Codina, Oriol, 2023, "Business cycles, sectoral price stabilization, and climate change mitigation: A model of multi-sector growth in the tradition of the Bielefeld disequilibrium approach," Journal of Economic Behavior & Organization, Elsevier, volume 216, issue C, pages 636-653, DOI: 10.1016/j.jebo.2023.09.023.
• Kubler, Felix & Scheidegger, Simon, 2023, "Uniformly self-justified equilibria," Journal of Economic Theory, Elsevier, volume 212, issue C, DOI: 10.1016/j.jet.2023.105707.
• Fanti, Lucrezia & Pereira, Marcelo C. & Virgillito, Maria Enrica, 2023, "The North-South divide: Sources of divergence, policies for convergence," Journal of Policy Modeling, Elsevier, volume 45, issue 2, pages 405-429, DOI: 10.1016/j.jpolmod.2022.10.007.
• Damdinsuren, Erdenebulgan & Zaharieva, Anna, 2023, "Expectation formation and learning in the labour market with on-the-job search and Nash bargaining," Labour Economics, Elsevier, volume 81, issue C, DOI: 10.1016/j.labeco.2022.102311.
• Castañeda, Juan Carlos & Chang, Rodrigo, 2023, "Evaluating core inflation measures: A statistical inference approach," Latin American Journal of Central Banking (previously Monetaria), Elsevier, volume 4, issue 4, DOI: 10.1016/j.latcb.2023.100099.
• Li, Yanshuang & Shi, Yujie & Shi, Yongdong & Yi, Shangkun & Zhang, Weiping, 2023, "COVID-19 vaccinations and risk spillovers: Evidence from Asia-Pacific stock markets," Pacific-Basin Finance Journal, Elsevier, volume 79, issue C, DOI: 10.1016/j.pacfin.2023.102004.
• Azzimonti, Marina & Fernandes, Marcos, 2023, "Social media networks, fake news, and polarization," European Journal of Political Economy, Elsevier, volume 76, issue C, DOI: 10.1016/j.ejpoleco.2022.102256.
• Jacobs, Lindsay, 2023, "Occupations, retirement, and the value of disability insurance," Journal of Public Economics, Elsevier, volume 225, issue C, DOI: 10.1016/j.jpubeco.2023.104976.
• Khalfaoui, Rabeh & Shahzad, Umer & Ghaemi Asl, Mahdi & Ben Jabeur, Sami, 2023, "Investigating the spillovers between energy, food, and agricultural commodity markets: New insights from the quantile coherency approach," The Quarterly Review of Economics and Finance, Elsevier, volume 88, issue C, pages 63-80, DOI: 10.1016/j.qref.2022.12.006.
• Alves, Roberta & Pereira, Cecília Aparecida & Lima, Renato da Silva, 2023, "Operational cost analysis for e-commerce deliveries using agent-based modeling and simulation," Research in Transportation Economics, Elsevier, volume 101, issue C, DOI: 10.1016/j.retrec.2023.101348.
• Orte, Francisco & Mira, José & Sánchez, María Jesús & Solana, Pablo, 2023, "A random forest-based model for crypto asset forecasts in futures markets with out-of-sample prediction," Research in International Business and Finance, Elsevier, volume 64, issue C, DOI: 10.1016/j.ribaf.2022.101829.
• Ahmad, Wasim & Tiwari, Shiv Ratan & Wadhwani, Akshay & Khan, Mohammad Azeem & Bekiros, Stelios, 2023, "Financial networks and systemic risk vulnerabilities: A tale of Indian banks," Research in International Business and Finance, Elsevier, volume 65, issue C, DOI: 10.1016/j.ribaf.2023.101962.
• Citera, Emanuele & Gouri Suresh, Shyam & Setterfield, Mark, 2023, "The network origins of aggregate fluctuations: A demand-side approach," Structural Change and Economic Dynamics, Elsevier, volume 64, issue C, pages 111-123, DOI: 10.1016/j.strueco.2022.12.005.
• Cieplinski, André & D'Alessandro, Simone & Dwarkasing, Chandni & Guarnieri, Pietro, 2023, "Narrowing women’s time and income gaps: An assessment of the synergies between working time reduction and universal income schemes," World Development, Elsevier, volume 167, issue C, DOI: 10.1016/j.worlddev.2023.106233.
• Leo Krippner, 2023, "Estimating and Applying Autoregression Models via Their Eigensystem Representation," CAMA Working Papers, Centre for Applied Macroeconomic Analysis, Crawford School of Public Policy, The Australian National University, number 2023-47, Oct.
• Qu, Yan & Dassios, Angelos & Zhao, Hongbiao, 2023, "Shot-noise cojumps: exact simulation and option pricing," LSE Research Online Documents on Economics, London School of Economics and Political Science, LSE Library, number 111537, Mar.
• Campiglio, Emanuele & Lamperti, Francesco & Terranova, Roberta, 2023, "Believe me when I say green! Heterogeneous expectations and climate policy uncertainty," LSE Research Online Documents on Economics, London School of Economics and Political Science, LSE Library, number 119257, Mar.
• Jorge Onrubia Fernández & María del Carmen Rodado Ruiz, 2023, "La importancia de los aspectos distributivos en la evaluación económica," EKONOMIAZ. Revista vasca de Economía, Gobierno Vasco / Eusko Jaurlaritza / Basque Government, volume 103, issue 01, pages 190-213.
• Cajas Guijarro, John, 2023, "Poder, intensidad del trabajo y crisis en un modelo marxista de ciclos endógenos," El Trimestre Económico, Fondo de Cultura Económica, volume 90, issue 358, pages 365-407, abril-jun, DOI: https://doi.org/10.20430/ete.v90i35.
• Elaheh Fatemi Pour & Seyed Ali Madnanizdeh & Hosein Joshaghani, 2023, "Accept or reject a ride? This is the problem," Journal of Economic Studies, Emerald Group Publishing Limited, volume 50, issue 7, pages 1346-1374, January, DOI: 10.1108/JES-12-2021-0617.
• Maggie Foley & Richard J. Cebula & John Downs & Xiaowei Liu, 2023, "Examining small bank failures in the United States: an application of the random effects parametric survival model," Journal of Financial Economic Policy, Emerald Group Publishing Limited, volume 15, issue 2, pages 104-122, January, DOI: 10.1108/JFEP-12-2022-0297.
• Bhavesh Garg, 2023, "Effectiveness of Monetary and Fiscal Policy in Mitigating Pandemic-Induced Macroeconomic Impacts," Working Papers, Economic Research Institute for ASEAN and East Asia (ERIA), number DP-2023-20, Dec.
• Jere Lehtomaa & Clément Renoir, 2023, "The Economic Impact of Tropical Cyclones: Case Studies in General Equilibrium," CER-ETH Economics working paper series, CER-ETH - Center of Economic Research (CER-ETH) at ETH Zurich, number 23/382, Apr.
• Vahagn Jerbashian & Luiz Brotherhood, 2023, "Firm behavior during an epidemic," UB School of Economics Working Papers, University of Barcelona School of Economics, number 2023/439.
• Dejan Zivkov & Marina Gajic-Glamoclija & Dajana Ercegovac & Igor Lavrnic, 2023, "Multiscale Tail Risk Interdependence between Precious Metals," Czech Journal of Economics and Finance (Finance a uver), Charles University Prague, Faculty of Social Sciences, volume 73, issue 4, pages 392-412, December.
• Federico Cornacchia & Alberto Gabino Martínez-Hernández & Marco Bidoia & Carlo Giupponi, 2023, "Towards a Modelling Process for Simulating Socio-ecosystems with a Focus on Climate Change Adaptation," Working Papers, Fondazione Eni Enrico Mattei, number 2023.05, Mar.
• Davide Bazzana & Massimiliano Rizzati & Emanuele Ciola & Enrico Turco & Sergio Vergalli, 2023, "Warming the MATRIX: a Climate Assessment under Uncertainty and Heterogeneity," Working Papers, Fondazione Eni Enrico Mattei, number 2023.09, May.
• Carlo Drago & Loris Di Nallo & Maria Lucetta Russotto, 2023, "Social Sustainability in European Banks: A Machine Learning Approach using Interval- Based Composite Indicators," Working Papers, Fondazione Eni Enrico Mattei, number 2023.13, Jun.
• Keyvan Eslami & Tom Phelan, 2023, "The Art of Temporal Approximation An Investigation into Numerical Solutions to Discrete and Continuous-Time Problems in Economics," Working Papers, Federal Reserve Bank of Cleveland, number 23-10, May, DOI: 10.26509/frbc-wp-202310.
• Kiwoong Byun & Baeho Kim & Dong Hwan Oh, 2023, "Systemic Credit Risk Premium: Insights from Credit Derivatives Markets," Finance and Economics Discussion Series, Board of Governors of the Federal Reserve System (U.S.), number 2023-055r1, Aug, revised 04 Aug 2025, DOI: 10.17016/FEDS.2023.055r1.
• Eva F. Janssens & Sean McCrary, 2023, "Finite-State Markov-Chain Approximations: A Hidden Markov Approach," Finance and Economics Discussion Series, Board of Governors of the Federal Reserve System (U.S.), number 2023-040, May, DOI: 10.17016/FEDS.2023.040.
• Spencer D. Krane & Leonardo Melosi & Matthias Rottner, 2023, "Learning Monetary Policy Strategies at the Effective Lower Bound with Sudden Surprises," Working Paper Series, Federal Reserve Bank of Chicago, number WP 2023-22, Jun, DOI: 10.21033/wp-2023-22.
• Antoine Arnoud & Fatih Guvenen & Tatjana Kleineberg, 2023, "Benchmarking Global Optimizers," Working Papers, Federal Reserve Bank of Minneapolis, number 801, Dec, DOI: 10.21034/wp.801.
• Gijs Dekkers & Raphael Desmet & Karel Van den Bosch, 2023, "Working Paper 03-23 - Risques de pauvreté et inégalités de revenus à l’horizon 2070. Projections du modèle de microsimulation dynamique révisé MIDAS 2.0
  [Working Paper 03-23 - Armoederisico’s en inkomensongelijkheid tot 2070. Projecties ," Working Papers, Federal Planning Bureau, Belgium, number 202303, May.
• Marco Desogus & Beatrice Venturi, 2023, "Stability and Bifurcations in Banks and Small Enterprises—A Three-Dimensional Continuous-Time Dynamical System," JRFM, MDPI, volume 16, issue 3, pages 1-20, March.
• Bart Taub, 2023, "Signal-jamming in the Frequency Domain," Working Papers, Business School - Economics, University of Glasgow, number 2023_02, Jan.
• Leonardo Ciambezi & Mattia Guerini & Mauro Napoletano & Andrea Roventini, 2023, "Accounting for the Multiple Sources of Inflation: an Agent-Based Model Investigation," GREDEG Working Papers, Groupe de REcherche en Droit, Economie, Gestion (GREDEG CNRS), Université Côte d'Azur, France, number 2023-14, Aug, revised Jun 2024.
• Patrick Mellacher, 2023, "Growth, Inequality and Declining Business Dynamism in a Unified Schumpeter Mark I + II Model," Graz Economics Papers, University of Graz, Department of Economics, number 2023-04, May.
• Theresa Hager & Patrick Mellacher & Magdalena Rath, 2023, "Endogenous Heterogeneous Gender Norms and the Distribution of Paid and Unpaid Work in an Intra-Household Bargaining Model," Graz Economics Papers, University of Graz, Department of Economics, number 2023-05, Jun.
• Giovanni Dosi & Francesco Lamperti & Mariana Mazzucato & Mauro Napoletano & Andrea Roventini, 2023, "Mission-oriented policies and the “Entrepreneurial State” at work: An agent-based exploration," Post-Print, HAL, number hal-04530983, Jun, DOI: 10.1016/j.jedc.2023.104650.
• Elisa Palagi & Mauro Napoletano & Andrea Roventini & Jean-Luc Gaffard, 2023, "An agent-based model of trickle-up growth and income inequality," Post-Print, HAL, number hal-04531031, Dec, DOI: 10.1016/j.econmod.2023.106535.
• Ibirénoyé Honoré Romaric Sodjahin & Fabienne Femenia & Obafémi, Philippe Koutchadé & Alain Carpentier, 2023, "On the economic value of the agronomic effects of crop diversification for farmers: estimation based on farm cost accounting data," Post-Print, HAL, number hal-04667088, Jul.
• François Durand & Antonin Macé & Matias Nunez, 2023, "Voter coordination in elections : a case for approval voting," PSE Working Papers, HAL, number halshs-03162184, Nov.
• Giovanni Dosi & Francesco Lamperti & Mariana Mazzucato & Mauro Napoletano & Andrea Roventini, 2023, "Mission-oriented policies and the “Entrepreneurial State” at work: An agent-based exploration," Sciences Po Economics Publications (main), HAL, number hal-04530983, Jun, DOI: 10.1016/j.jedc.2023.104650.
• Elisa Palagi & Mauro Napoletano & Andrea Roventini & Jean-Luc Gaffard, 2023, "An agent-based model of trickle-up growth and income inequality," Sciences Po Economics Publications (main), HAL, number hal-04531031, Dec, DOI: 10.1016/j.econmod.2023.106535.
• Mathias Silva, 2023, "Parametric estimation of income distributions using grouped data: an Approximate Bayesian Computation approach
  [Working Papers / Documents de travail]," Working Papers, HAL, number hal-04066544, Apr.
• François Durand & Antonin Macé & Matias Nunez, 2023, "Voter coordination in elections : a case for approval voting," Working Papers, HAL, number halshs-03162184, Nov.
• Herbertsson, Alexander, 2023, "Risk management of stock portfolios with jumps at exogenous default events," Working Papers in Economics, University of Gothenburg, Department of Economics, number 836, Sep.
• Herbertsson, Alexander, 2023, "Saddlepoint approximations for credit portfolio distributions with applications in equity risk management," Working Papers in Economics, University of Gothenburg, Department of Economics, number 839, Dec.
• Fakhrabadi, Mahnaz & Sandal, Leif K., 2023, "A Subgame Perfect Approach to a Multi-Period Stackelberg Game with Dynamic, Price-Dependent, Distributional-Robust Demand," Discussion Papers, Norwegian School of Economics, Department of Business and Management Science, number 2023/4, Mar.
• Fakhrabadi, Mahnaz & Sandal, Leif K., 2023, "Multi-Periodic Distributional-Robust Stackelberg Game with Price-History-Dependent Demand and Environmental Corrective Actions," Discussion Papers, Norwegian School of Economics, Department of Business and Management Science, number 2023/13, Sep.
• Karlsson, Niklas & Lunander, Anders, 2023, "A Stochastic Analysis of the 4 x 100 m Relay," Working Papers, Örebro University, School of Business, number 2023:4, Mar.
• Marco Fattore & Stefania M.L. Rimoldi, 2023, "Effects of the Covid Pandemic on the Economic Vulnerability of Italian Society," Hacienda Pública Española / Review of Public Economics, IEF, volume 247, issue 4, pages 37-68, December.
• Theresa Hager & Patrick Mellacher & Magdalena Rath, 2023, "Endogenous Heterogeneous Gender Norms and the Distribution of Paid and Unpaid Work in an Intra-Household Bargaining Model," ICAE Working Papers, Johannes Kepler University, Institute for Comprehensive Analysis of the Economy, number 147, Jun.
• Arkema, Katie & Bailey, Allison & Guerrero Compeán, Roberto & Menéndez Fernandez, Pelayo & Reguero, Borja, 2023, "Modeling Tropical Cyclone Risk While Accounting for Climate Change and Natural Infrastructure in the Caribbean," IDB Publications (Working Papers), Inter-American Development Bank, number 12941, Jun, DOI: http://dx.doi.org/10.18235/0004966.
• Arkema, Katie & Bailey, Allison & Chávez Cerón, Valeria & Guerrero Compeán, Roberto & Menéndez Fernandez, Pelayo & Reguero, Borja & Ruckelshaus, Mary & Silver, Jessica, 2023, "Estimating and mapping natural hazards and risk reduction provided by coastal ecosystems," IDB Publications (Working Papers), Inter-American Development Bank, number 12943, Jun, DOI: http://dx.doi.org/10.18235/0004971.
• Gonzalez, Rodrigo Barbone & Haas Ornelas, José Renato & Silva, Thiago Christiano, 2023, "The Value of Clean Water: Evidence from an Environmental Disaster," IDB Publications (Working Papers), Inter-American Development Bank, number 13273, Dec, DOI: http://dx.doi.org/10.18235/0005312.
• Brotherhood, Luiz & Kircher, Philipp & Santos, Cezar & Tertilt, Michèle, 2023, "Optimal Age-based Policies for Pandemics: An Economic Analysis of Covid-19 and Beyond," IDB Publications (Working Papers), Inter-American Development Bank, number 13295, Dec, DOI: http://dx.doi.org/10.18235/0005350.
• Reiter, Michael, 2023, "State Reduction and Second-order Perturbations of Heterogeneous Agent Models," IHS Working Paper Series, Institute for Advanced Studies, number 49, Aug.
• Nora Lustig & Valentina Martinez Pabon & Federico Sanz & Stephen D Younger, 2023, "The Impact of COVID-19 on Living Standards: Addressing the Challenges of Nowcasting Unprecedented Macroeconomic Shocks with Scant Data and Uncharted Economic Behavior," International Journal of Microsimulation, International Microsimulation Association, volume 16, issue 1, pages 1-27, DOI: 10.34196/ijm.00273.
• Lilian Rolim & Laura Carvalho & Dany Lang, 2023, "Monetary policy rules and the inequality-augmented Phillips curve," FMM Working Paper, IMK at the Hans Boeckler Foundation, Macroeconomic Policy Institute, number 91-2023.
• Andrés Giovanni Camacho Ardila & Federico Hernández Álvarez & Luis Ignacio Román de la Sancha, 2023, "Ciclos en el Sector Bancario Mexicano: un Índice Coincidente (CP1G7) vía ACP," Remef - Revista Mexicana de Economía y Finanzas Nueva Época REMEF (The Mexican Journal of Economics and Finance), Instituto Mexicano de Ejecutivos de Finanzas, IMEF, volume 18, issue 4, pages 1-25, Octubre -.
• Krause, Willi & Costa, Luís & Costa Filho, João Ricardo, 2023, "The Covid-19 Recession in Germany: A Macropidemiological Analysis," Working Papers REM, ISEG - Lisbon School of Economics and Management, REM, Universidade de Lisboa, number 2023/0290, Oct.
• Clarke, Damian & Pailañir, Daniel & Athey, Susan & Imbens, Guido W., 2023, "Synthetic Difference-in-Differences Estimation," IZA Discussion Papers, IZA Network @ LISER, number 15907, Jan.
• de Boer, Henk-Wim & Jongen, Egbert L. W. & Koot, Patrick, 2023, "Too Much of a Good Thing? Using Tax Incentives to Stimulate Dual-Earner Couples," IZA Discussion Papers, IZA Network @ LISER, number 16702, Dec.
• Osman Semi Ceylan, 2023, "Implementation of Quantum Weyl Transformations on Cirq," Journal of Quantum Technologies and Informatics Research, Holistence Publications, volume 1, issue 1, pages 1-5, October, DOI: doi.org/10.5281/zenodo.10102956.
• Sevdanur GENC, 2023, "The Impact of Quantum Technology on the Metaverse: Future Possibilities and Challenges," Journal of Quantum Technologies and Informatics Research, Holistence Publications, volume 1, issue 1, pages 17-27, October, DOI: doi.org/10.5281/zenodo.10102956.
• Ercan Caglar, 2023, "Introduction to Quantum Data Science: Grover Search Algorithm," Journal of Quantum Technologies and Informatics Research, Holistence Publications, volume 1, issue 1, pages 29-34, October, DOI: doi.org/10.5281/zenodo.10102956.
• Bayram Kose, 2023, "Data, Informatics, Artificial Intelligence and Optimization," Journal of Quantum Technologies and Informatics Research, Holistence Publications, volume 1, issue 1, pages 35-40, October, DOI: doi.org/10.5281/zenodo.10102956.
• Sinem Kalkan, 2023, "Magnetized Strange Quark Matter in Lyra Theory," Journal of Quantum Technologies and Informatics Research, Holistence Publications, volume 1, issue 1, pages 41-44, October, DOI: doi.org/10.5281/zenodo.10102956.
• Huseyin Turker, 2023, "Exploring Quantum Annealing: A Pathway to Quantum Computing," Journal of Quantum Technologies and Informatics Research, Holistence Publications, volume 1, issue 1, pages 45-54, October, DOI: doi.org/10.5281/zenodo.10102956.
• Dila Baspinar & Ela BAÅPINAR & Umut Aldogan, 2023, "Derivative and partial integral methods and Gauss integral's indefinite integral solution and its use in wave function in quantum mechanics and exact solutions of the wave function depending on position and time," Journal of Quantum Technologies and Informatics Research, Holistence Publications, volume 1, issue 1, pages 55-63, October, DOI: doi.org/10.5281/zenodo.10102956.
• Davut Emre Tasar & Kutan Koruyan & Ceren Ã-cal Cosar, 2023, "Machine Learning in the Quantum Age: Quantum vs. Classical Support Vector Machines," Journal of Quantum Technologies and Informatics Research, Holistence Publications, volume 1, issue 1, pages 65-72, October, DOI: doi.org/10.5281/zenodo.10102956.
• Sevdanur GENC, 2023, "Hamiltonian Analysis of Amino Acid Sequences by Quantum Computing," Journal of Quantum Technologies and Informatics Research, Holistence Publications, volume 1, issue 1, pages 7-16, October, DOI: doi.org/10.5281/zenodo.10102956.
• Mario Eboli & Bulent Ozel & Andrea Teglio & Andrea Toto, 2023, "Connectivity, centralisation and ‘robustness-yet-fragility’ of interbank networks," Annals of Finance, Springer, volume 19, issue 2, pages 169-200, June, DOI: 10.1007/s10436-022-00416-9.
• Jan Matas & Jan Pospíšil, 2023, "Robustness and sensitivity analyses of rough Volterra stochastic volatility models," Annals of Finance, Springer, volume 19, issue 4, pages 523-543, December, DOI: 10.1007/s10436-023-00433-2.
• Arthur Charpentier & Romuald Élie & Carl Remlinger, 2023, "Reinforcement Learning in Economics and Finance," Computational Economics, Springer;Society for Computational Economics, volume 62, issue 1, pages 425-462, June, DOI: 10.1007/s10614-021-10119-4.
• Paolo Massimo Buscema & Francesca Della Torre & Giulia Massini & Guido Ferilli & Pier Luigi Sacco, 2023, "Reconstructing the Emergent Organization of Information Flows in International Stock Markets: A Computational Complex Systems Approach," Computational Economics, Springer;Society for Computational Economics, volume 62, issue 1, pages 49-89, June, DOI: 10.1007/s10614-022-10267-1.
• Ivo Bakota, 2023, "Market Clearing and Krusell-Smith Algorithm in an Economy with Multiple Assets," Computational Economics, Springer;Society for Computational Economics, volume 62, issue 3, pages 1007-1045, October, DOI: 10.1007/s10614-022-10290-2.
• M. Ben Goodwin & Jamal Mamkhezri & Fidel Gonzalez, 2023, "Working Together: Optimal Control of Wolf Management Across Multiple States," Computational Economics, Springer;Society for Computational Economics, volume 62, issue 4, pages 1751-1780, December, DOI: 10.1007/s10614-022-10317-8.
• François Durand, 2023, "Coalitional manipulation of voting rules: simulations on empirical data," Constitutional Political Economy, Springer, volume 34, issue 3, pages 390-409, September, DOI: 10.1007/s10602-022-09376-8.
• Oscar Afonso, 2023, "Losers and losses of COVID-19: a directed technical change analysis with fiscal and monetary policies," Economic Change and Restructuring, Springer, volume 56, issue 3, pages 1777-1821, June, DOI: 10.1007/s10644-023-09486-9.
• Marco Di Francesco & Roberta Simonella, 2023, "A stochastic Asset Liability Management model for life insurance companies," Financial Markets and Portfolio Management, Springer;Swiss Society for Financial Market Research, volume 37, issue 1, pages 61-94, March, DOI: 10.1007/s11408-022-00411-0.
• Rim Bernoussi & Michael Rockinger, 2023, "Rebalancing with transaction costs: theory, simulations, and actual data," Financial Markets and Portfolio Management, Springer;Swiss Society for Financial Market Research, volume 37, issue 2, pages 121-160, June, DOI: 10.1007/s11408-022-00419-6.
• Jamie S. Spaulding & Keith B. Morris, 2023, "An open-source implementation of geographic profiling methods for serial crime analysis," Journal of Geographical Systems, Springer, volume 25, issue 4, pages 567-586, October, DOI: 10.1007/s10109-023-00417-w.
• Renato Frey & Shannon M. Duncan & Elke U. Weber, 2023, "Towards a typology of risk preference: Four risk profiles describe two-thirds of individuals in a large sample of the U.S. population," Journal of Risk and Uncertainty, Springer, volume 66, issue 1, pages 1-17, February, DOI: 10.1007/s11166-022-09398-5.
• Kensuke Ohtake, 2023, "A Continuous Space Model of New Economic Geography with a Quasi-Linear Log Utility Function," Networks and Spatial Economics, Springer, volume 23, issue 4, pages 905-930, December, DOI: 10.1007/s11067-023-09604-0.
• Sheng-Feng Luo & Hsin-Chieh Wong, 2023, "Continuity correction: on the pricing of discrete double barrier options," Review of Derivatives Research, Springer, volume 26, issue 1, pages 51-90, April, DOI: 10.1007/s11147-022-09193-z.
• Gleb B. Domnenko & David S. Sibley, 2023, "Simulating Vertical Mergers," Review of Industrial Organization, Springer;The Industrial Organization Society, volume 62, issue 2, pages 99-118, March, DOI: 10.1007/s11151-023-09896-z.
• Ku-Hsieh Chen & Pei-Hwa Chen & Julie Ann Elston & Yingchao Zhang, 2023, "Are family firms more efficient? Revisiting the U-shaped curve of scale and efficiency," Small Business Economics, Springer, volume 61, issue 3, pages 983-1008, October, DOI: 10.1007/s11187-022-00720-8.
• Andrea Ancona & Matteo Cinelli & Giovanna Ferraro & Antonio Iovanella, 2023, "Network-based principles of entrepreneurial ecosystems: a case study of a start-up network," Small Business Economics, Springer, volume 61, issue 4, pages 1497-1514, December, DOI: 10.1007/s11187-023-00738-6.
• Markus Diller & Johannes Lorenz & David Meier, 2023, "The Impact of Public Income Tax Return Disclosure on Tax Avoidance and Tax Evasion - Insights from an Agent-Based Model," FinanzArchiv: Public Finance Analysis, Mohr Siebeck, Tübingen, volume 79, issue 3, pages 235-274, DOI: 10.1628/fa-2023-0007.
• Jesús Fernández-Villaverde & Isaiah J. Hull, 2023, "Dynamic Programming in Economics on a Quantum Annealer," NBER Working Papers, National Bureau of Economic Research, Inc, number 31326, Jun.
• L. Galiana & L. Wilner, 2023, "Private Wealth over the Life-Cycle: A Meeting between Microsimulation and Structural Approaches," Documents de Travail de l'Insee - INSEE Working Papers, Institut National de la Statistique et des Etudes Economiques, number 2023-04.
• Yulia V. Luzgina & Marina G. Orlova, 2023, "Express Diagnostic Model of Crisis Preparedness," Economic Alternatives, University of National and World Economy, Sofia, Bulgaria, issue 4, pages 659-669, December.
• Eliza-Jane Pearsall & Daniele Pacifico & Edoardo Magalini, 2023, "Unemployment benefit reforms to support employment and inclusiveness in the United States: Impacts of the Pandemic Unemployment Assistance," OECD Social, Employment and Migration Working Papers, OECD Publishing, number 296, Jul, DOI: 10.1787/a2f9156d-en.
• Ramaharo, Franck Maminirina & Rasolofomanana, Gerzhino H, 2023, "Nowcasting Madagascar's real GDP using machine learning algorithms," AfricArxiv, Center for Open Science, number vpuac, Dec, DOI: 10.31219/osf.io/vpuac.
• Bàrbara Llacay & Gilbert Peffer, 2023, "Modelo evolutivo del impacto de técnicas VaR en los mercados financieros
  [Evolutionary model of the impact of VaR techniques on financial markets]," Revista de Métodos Cuantitativos para la Economía y la Empresa = Journal of Quantitative Methods for Economics and Business Administration, Universidad Pablo de Olavide, Department of Quantitative Methods for Economics and Business Administration, volume 36, issue 1, pages 1-26, December, DOI: https://doi.org/10.46661/revmetodos.
• Valentinas Rudys, 2023, "How does retirement affect optimal life cycle portfolio allocation between stocks and bonds?," Journal of Asset Management, Palgrave Macmillan, volume 24, issue 3, pages 212-224, May, DOI: 10.1057/s41260-022-00298-6.
• Marco Catola & Silvia Leoni, 2023, "Pollution Abatement and Lobbying in a Cournot Game. An Agent-Based Modelling approach," Discussion Papers, Dipartimento di Economia e Management (DEM), University of Pisa, Pisa, Italy, number 2023/294, Jun.
• Desogus, Marco & Venturi, Beatrice, 2023, "Stability and Bifurcations in Banks and Small Enterprises—A Three-Dimensional Continuous-Time Dynamical System," MPRA Paper, University Library of Munich, Germany, number 116598, Mar.
• Mukherjee, Krishnendu, 2023, "Layer: An Alternative Approach To Solve Large Capacitated Vehicle Routing Problem with Time Window Using AI and Exact Method," MPRA Paper, University Library of Munich, Germany, number 117513, Jun, revised 12 Jun 2023.
• Drechsler, Martin, 2023, "A game-theoretic systematic of interactions and dynamics in the conservation and management of spatial ecosystem services," MPRA Paper, University Library of Munich, Germany, number 117605, Jun.
• Ramírez Mordán, Nerys & Rodríguez Núñez, Juan Bautista, 2023, "Dinámica de la Concentración de Mercados: simulaciones Basadas en el Enfoque de Gibrat
  [Market Concentration Dynamics: simulations Based on the Gibrat Approach]," MPRA Paper, University Library of Munich, Germany, number 119043, Nov.
• Ryazantsev, Alexey & Larin, Sergey & Khrustalev, Oleg, 2023, "Инновационно-Ориентированные Методы И Механизмы Управления Наукоемким И Высокотехнологичным Комплексом
  [Innovation-oriented management methods and mechanisms of a knowledge-intensive and high-tech complex]," MPRA Paper, University Library of Munich, Germany, number 119342, Aug, revised 18 Aug 2023.
• Ramaharo, Franck M. & Rasolofomanana, Gerzhino H., 2023, "Nowcasting Madagascar's real GDP using machine learning algorithms," MPRA Paper, University Library of Munich, Germany, number 119574, Dec.
• Kejin Wu & Sayar Karmakar & Rangan Gupta & Christian Pierdzioch, 2023, "Climate Risks and Stock Market Volatility Over a Century in an Emerging Market Economy: The Case of South Africa," Working Papers, University of Pretoria, Department of Economics, number 202326, Sep.
• Jiří Witzany & Milan Fičura, 2023, "Machine Learning Applications to Valuation of Options on Non-liquid Markets," FFA Working Papers, Prague University of Economics and Business, number 5.001, Jan, revised 24 Jan 2023.
• Jiří Witzany & Milan Fičura, 2023, "A Comparison of Neural Networks and Bayesian MCMC for the Heston Model Estimation (Forget Statistics - Machine Learning is Sufficient!)," FFA Working Papers, Prague University of Economics and Business, number 5.007, Jul, revised 11 Jul 2023.
• Jonathan F. Cogliano & Roberto Veneziani, 2023, "Classical Competition and Equilibrium: An Agent-Based Analysis," Working Papers, Queen Mary University of London, School of Economics and Finance, number 977, Apr.
• Ali Hirsa & Satyan Malhotra, 2023, "Overview of artificial intelligence deployment options," Journal of Financial Transformation, Capco Institute, volume 58, pages 8-23.
• Chris Stewart, 2023, "The autoregressive distributed lag bounds test generalised to consider a long-run levels relationship when all levels variables are ?(?)," Economics Discussion Papers, School of Economics, Kingston University London, number 2023-2, Dec.
• Hayat SHAHID & Amena UROOJ & Zahid ASGHAR, 2023, "Impact of Seasonal Level Shift (SLS) on Time Series Forecasting," Journal for Economic Forecasting, Institute for Economic Forecasting, volume 0, issue 1, pages 107-128, March.
• Qiuyue SUN & Lei LIU, 2023, "Impact of Government Subsidies on Enterprises' Technological Innovation Inputs and Outputs : Moderating Effect of Regional Innovation Capacity," Journal for Economic Forecasting, Institute for Economic Forecasting, volume 0, issue 4, pages 91-106, December.
• Chi Kong Chyong & David M Reiner & Dhruvak Aggarwal, 2023, "Market Power and Long-term Gas Contracts: The Case of Gazprom in Central and Eastern European Gas Markets," The Energy Journal, , volume 44, issue 1, pages 55-74, January, DOI: 10.5547/01956574.44.1.cchy.
• László Csató, 2023, "A comparative study of scoring systems by simulations," Journal of Sports Economics, , volume 24, issue 4, pages 526-545, May, DOI: 10.1177/15270025221134241.
• Marcin Hernes & Jêdrzej Adaszynski & Piotr Tutak, 2023, "Credit Risk Modeling Using Interpreted XGBoost," European Management Studies, University of Warsaw, Faculty of Management, volume 21, issue 101, pages 46-70, DOI: 10.7172/1644-9584.101.3.
• Lilian Rolim & Laura Carvalho & Dany Lang, 2023, "Monetary policy rules and the inequality-augmented Phillips Curve," Working Papers, Department of Economics, University of São Paulo (FEA-USP), number 2023_06, Jun.
• Anna Varga-Csajkás & Tamás Sebestyén & Attila Varga, 2023, "Dynamics of collaboration among high-growth firms: results from an agent-based policy simulation," The Annals of Regional Science, Springer;Western Regional Science Association, volume 70, issue 2, pages 353-377, April, DOI: 10.1007/s00168-022-01150-w.
• Moon-Hyun Kim & Jiwon Lee & Hee-Jin Oh & Tsolmon Bayarsaikhan & Tae-Hyoung Tommy Gim, 2023, "A modeling study of the effect of social distancing policies on the early spread of coronavirus disease 2019: a case of South Korea," The Annals of Regional Science, Springer;Western Regional Science Association, volume 71, issue 1, pages 225-242, August, DOI: 10.1007/s00168-022-01140-y.
• Gianluca Anese & Marco Corazza & Michele Costola & Loriana Pelizzon, 2023, "Impact of public news sentiment on stock market index return and volatility," Computational Management Science, Springer, volume 20, issue 1, pages 1-36, December, DOI: 10.1007/s10287-023-00454-2.
• Michele Azzone & Roberto Baviera, 2023, "A fast Monte Carlo scheme for additive processes and option pricing," Computational Management Science, Springer, volume 20, issue 1, pages 1-34, December, DOI: 10.1007/s10287-023-00463-1.
• Georgios Fatouros & Georgios Makridis & Dimitrios Kotios & John Soldatos & Michael Filippakis & Dimosthenis Kyriazis, 2023, "DeepVaR: a framework for portfolio risk assessment leveraging probabilistic deep neural networks," Digital Finance, Springer, volume 5, issue 1, pages 29-56, March, DOI: 10.1007/s42521-022-00050-0.
• A. Max Reppen & H. Mete Soner & Valentin Tissot-Daguette, 2023, "Deep stochastic optimization in finance," Digital Finance, Springer, volume 5, issue 1, pages 91-111, March, DOI: 10.1007/s42521-022-00074-6.
• Xiaofei Shi & Daran Xu & Zhanhao Zhang, 2023, "Deep learning algorithms for hedging with frictions," Digital Finance, Springer, volume 5, issue 1, pages 113-147, March, DOI: 10.1007/s42521-023-00075-z.
• Kevin Jakob & Johannes Churt & Matthias Fischer & Kim Nolte & Yarema Okhrin & Dirk Sondermann & Stefan Wilke & Thomas Worbs, 2023, "Fast approximation methods for credit portfolio risk calculations," Digital Finance, Springer, volume 5, issue 3, pages 689-716, December, DOI: 10.1007/s42521-023-00097-7.
• Greg Leo & Yevgeniy Vorobeychik & Myrna Wooders, 2023, "Subgame Perfect Coalition Formation," Dynamic Games and Applications, Springer, volume 13, issue 2, pages 510-524, June, DOI: 10.1007/s13235-022-00467-7.
• Mikhail I. Krastanov & Rossen Rozenov & Boyan K. Stefanov, 2023, "On a Constrained Infinite-Time Horizon Linear Quadratic Game," Dynamic Games and Applications, Springer, volume 13, issue 3, pages 843-858, September, DOI: 10.1007/s13235-022-00484-6.
• Kazuhisa Taniguchi, 2023, "Numerical analysis of a nonlinear (S, s) inventory control policy under a quantity adjustment economy including explanations from a linear model," Evolutionary and Institutional Economics Review, Springer, volume 20, issue 2, pages 401-424, September, DOI: 10.1007/s40844-023-00266-8.
• E. Fusco & R. Benedetti & F. Vidoli, 2023, "Stochastic frontier estimation through parametric modelling of quantile regression coefficients," Empirical Economics, Springer, volume 64, issue 2, pages 869-896, February, DOI: 10.1007/s00181-022-02273-x.
• Florian Dorn & Sahamoddin Khailaie & Marc Stoeckli & Sebastian C. Binder & Tanmay Mitra & Berit Lange & Stefan Lautenbacher & Andreas Peichl & Patrizio Vanella & Timo Wollmershäuser & Clemens Fuest & , 2023, "The common interests of health protection and the economy: evidence from scenario calculations of COVID-19 containment policies," The European Journal of Health Economics, Springer;Deutsche Gesellschaft für Gesundheitsökonomie (DGGÖ), volume 24, issue 1, pages 67-74, February, DOI: 10.1007/s10198-022-01452-y.
• Ivan Savin & Maria Novitskaya, 2023, "Data-driven definitions of gazelle companies that rule out chance: application for Russia and Spain," Eurasian Business Review, Springer;Eurasia Business and Economics Society, volume 13, issue 3, pages 507-542, September, DOI: 10.1007/s40821-023-00239-2.
• Riccardo De Blasis, 2023, "Weighted-indexed semi-Markov model: calibration and application to financial modeling," Financial Innovation, Springer;Southwestern University of Finance and Economics, volume 9, issue 1, pages 1-16, December, DOI: 10.1186/s40854-022-00418-6.
• A. James & N. Chandra & Nicy Sebastian, 2023, "Stress-strength reliability estimation for bivariate copula function with rayleigh marginals," International Journal of System Assurance Engineering and Management, Springer;The Society for Reliability, Engineering Quality and Operations Management (SREQOM),India, and Division of Operation and Maintenance, Lulea University of Technology, Sweden, volume 14, issue 1, pages 196-215, March, DOI: 10.1007/s13198-022-01836-6.
• Giorgio Gnecco & Sara Landi & Massimo Riccaboni, 2023, "Can Machines Learn Creativity Needs? An Approach Based on Matrix Completion," Italian Economic Journal: A Continuation of Rivista Italiana degli Economisti and Giornale degli Economisti, Springer;Società Italiana degli Economisti (Italian Economic Association), volume 9, issue 3, pages 1111-1151, November, DOI: 10.1007/s40797-022-00200-8.
• Moritz Schneider & Rolf Brühl, 2023, "Disentangling the black box around CEO and financial information-based accounting fraud detection: machine learning-based evidence from publicly listed U.S. firms," Journal of Business Economics, Springer, volume 93, issue 9, pages 1591-1628, November, DOI: 10.1007/s11573-023-01136-w.
• Mehmet Sahiner & David G. McMillan & Dimos Kambouroudis, 2023, "Do artificial neural networks provide improved volatility forecasts: Evidence from Asian markets," Journal of Economics and Finance, Springer;Academy of Economics and Finance, volume 47, issue 3, pages 723-762, September, DOI: 10.1007/s12197-023-09629-8.
• Benjamin Patrick Evans & Kirill Glavatskiy & Michael S. Harré & Mikhail Prokopenko, 2023, "The impact of social influence in Australian real estate: market forecasting with a spatial agent-based model," Journal of Economic Interaction and Coordination, Springer;Society for Economic Science with Heterogeneous Interacting Agents, volume 18, issue 1, pages 5-57, January, DOI: 10.1007/s11403-021-00324-7.
• James Fain, 2023, "Should retail stores locate close to a rival?," Journal of Economic Interaction and Coordination, Springer;Society for Economic Science with Heterogeneous Interacting Agents, volume 18, issue 1, pages 129-162, January, DOI: 10.1007/s11403-021-00332-7.
• Paul M. Torrens, 2023, "Agent models of customer journeys on retail high streets," Journal of Economic Interaction and Coordination, Springer;Society for Economic Science with Heterogeneous Interacting Agents, volume 18, issue 1, pages 87-128, January, DOI: 10.1007/s11403-022-00350-z.
• Said Benjamin Bonakdar & Michael Roos, 2023, "Dissimilarity effects on house prices: what is the value of similar neighbours?," Journal of Economic Interaction and Coordination, Springer;Society for Economic Science with Heterogeneous Interacting Agents, volume 18, issue 1, pages 59-86, January, DOI: 10.1007/s11403-022-00370-9.
• Alessandro Basurto & Herbert Dawid & Philipp Harting & Jasper Hepp & Dirk Kohlweyer, 2023, "How to design virus containment policies? A joint analysis of economic and epidemic dynamics under the COVID-19 pandemic," Journal of Economic Interaction and Coordination, Springer;Society for Economic Science with Heterogeneous Interacting Agents, volume 18, issue 2, pages 311-370, April, DOI: 10.1007/s11403-022-00369-2.
• Michel Alexandre & Gilberto Tadeu Lima & Luca Riccetti & Alberto Russo, 2023, "The financial network channel of monetary policy transmission: an agent-based model," Journal of Economic Interaction and Coordination, Springer;Society for Economic Science with Heterogeneous Interacting Agents, volume 18, issue 3, pages 533-571, July, DOI: 10.1007/s11403-023-00377-w.
• David G. Green, 2023, "Emergence in complex networks of simple agents," Journal of Economic Interaction and Coordination, Springer;Society for Economic Science with Heterogeneous Interacting Agents, volume 18, issue 3, pages 419-462, July, DOI: 10.1007/s11403-023-00385-w.
• Mikkel Høst Gandil, 2023, "Rank-correlations are not robust to differences in group inequality," The Journal of Economic Inequality, Springer;Society for the Study of Economic Inequality, volume 21, issue 1, pages 201-217, March, DOI: 10.1007/s10888-022-09550-w.
• Henk-Wim Boer & Egbert Jongen, 2023, "Optimal income support for lone parents in the Netherlands: are we there yet?," The Journal of Economic Inequality, Springer;Society for the Study of Economic Inequality, volume 21, issue 3, pages 573-589, September, DOI: 10.1007/s10888-023-09564-y.
• Herbert Dawid & Michael Neugart, 2023, "Effects of technological change and automation on industry structure and (wage-)inequality: insights from a dynamic task-based model," Journal of Evolutionary Economics, Springer, volume 33, issue 1, pages 35-63, January, DOI: 10.1007/s00191-022-00803-5.
• Lilian N. Rolim & Carolina Troncoso Baltar & Gilberto Tadeu Lima, 2023, "Income distribution, productivity growth, and workers’ bargaining power in an agent-based macroeconomic model," Journal of Evolutionary Economics, Springer, volume 33, issue 2, pages 473-516, April, DOI: 10.1007/s00191-022-00805-3.
• Apostolos Vetsikas & Yeoryios Stamboulis, 2023, "A conceptual framework for modeling heterogeneous actors' behavior in national innovation systems," Journal of Evolutionary Economics, Springer, volume 33, issue 3, pages 773-796, July, DOI: 10.1007/s00191-023-00829-3.
• Athos V. C. Carvalho & Douglas Silveira & Regis A. Ely & Daniel O. Cajueiro, 2023, "A logarithmic market scoring rule agent-based model to evaluate prediction markets," Journal of Evolutionary Economics, Springer, volume 33, issue 4, pages 1303-1343, September, DOI: 10.1007/s00191-023-00822-w.
• Wim Hordijk & Stuart Kauffman & Roger Koppl, 2023, "Emergence of autocatalytic sets in a simple model of technological evolution," Journal of Evolutionary Economics, Springer, volume 33, issue 5, pages 1519-1535, November, DOI: 10.1007/s00191-023-00838-2.
• M. Aykut Attar, 2023, "Technology and survival in preindustrial England: a Malthusian view," Journal of Population Economics, Springer;European Society for Population Economics, volume 36, issue 4, pages 2071-2110, October, DOI: 10.1007/s00148-023-00952-2.
• Dror Parnes, 2023, "Typical States and Their Risks for Mortgage Loans," Journal of Quantitative Economics, Springer;The Indian Econometric Society (TIES), volume 21, issue 2, pages 395-415, June, DOI: 10.1007/s40953-023-00341-2.
• A. Yair Grinberger & Daniel Felsenstein, 2023, "Agent-based simulation of COVID-19 containment measures: the case of lockdowns in cities," Letters in Spatial and Resource Sciences, Springer, volume 16, issue 1, pages 1-16, December, DOI: 10.1007/s12076-023-00336-w.
• Augusto Blanc-Blocquel & Luis Ortiz-Gracia & Rodolfo Oviedo, 2023, "Hedging At-the-money Digital Options Near Maturity," Methodology and Computing in Applied Probability, Springer, volume 25, issue 1, pages 1-18, March, DOI: 10.1007/s11009-023-10013-6.
• Kateryna Czerniachowska & Krzysztof Michalak & Marcin Hernes, 2023, "Heuristics for the shelf space allocation problem," OPSEARCH, Springer;Operational Research Society of India, volume 60, issue 2, pages 835-869, June, DOI: 10.1007/s12597-023-00636-1.
• Gulcin Dinc Yalcin & Hilal Malta & Seher Saylik, 2023, "A new mathematical model and a heuristic algorithm for the tourist trip design problem under new constraints: a real-world application," OPSEARCH, Springer;Operational Research Society of India, volume 60, issue 4, pages 1703-1730, December, DOI: 10.1007/s12597-023-00678-5.
• José Gaspar & Liliana Garrido-da-Silva & Paulo B. Vasconcelos & Óscar Afonso, 2023, "Local and global indeterminacy and transition dynamics in a growth model with public goods," Portuguese Economic Journal, Springer;Instituto Superior de Economia e Gestao, volume 22, issue 2, pages 271-314, May, DOI: 10.1007/s10258-022-00216-z.
• Shintaro Miyazaki, 2023, "Heterodox modeling: practicing well-tuned provisioning or commoning with networked multi-agent environments," Review of Evolutionary Political Economy, Springer, volume 4, issue 3, pages 597-610, October, DOI: 10.1007/s43253-023-00109-7.
• Lena Gerdes & Ernest Aigner & Stefan Meretz & Hanno Pahl & Annette Schlemm & Manuel Scholz-Wäckerle & Jens Schröter & Simon Sutterlütti, 2023, "COMMONSIM: Simulating the utopia of COMMONISM," Review of Evolutionary Political Economy, Springer, volume 4, issue 3, pages 559-595, October, DOI: 10.1007/s43253-023-00110-0.
• Hanno Pahl & Manuel Scholz-Wäckerle & Jens Schröter, 2023, "Envisioning post-capitalist utopias via simulation: Theory, critique and models," Review of Evolutionary Political Economy, Springer, volume 4, issue 3, pages 445-465, October, DOI: 10.1007/s43253-023-00112-y.
• Tatiana Grishina & Alexey Ponomarenko, 2023, "Banks’ interest rate setting and transitions between liquidity surplus and deficit," SN Business & Economics, Springer, volume 3, issue 12, pages 1-18, December, DOI: 10.1007/s43546-023-00595-1.
• Maddalena Cavicchioli, 2023, "Trend and cycle decomposition of Markov switching (co)integrated time series," Statistical Methods & Applications, Springer;Società Italiana di Statistica, volume 32, issue 5, pages 1381-1406, December, DOI: 10.1007/s10260-023-00710-4.
• Adler Haymans Manurung & Derwin Suhartono & Benny Hutahayan & Noptovius Halimawan, 2023, "Probability Bankruptcy Using Support Vector Regression Machines," Journal of Applied Finance & Banking, SCIENPRESS Ltd, volume 13, issue 1, pages 1-3.
• Saeed Shaker-Akhtekhane & Solmaz Poorabbas, 2023, "Value-at-Risk Estimation Using an Interpolated Distribution of Financial Returns Series," Journal of Applied Finance & Banking, SCIENPRESS Ltd, volume 13, issue 1, pages 1-6.
• Massimiliano Kaucic & Filippo Piccotto & Gabriele Sbaiz & Giorgio Valentinuz, 2023, "Optimal Portfolio with Sustainable Attitudes under Cumulative Prospect Theory," Journal of Applied Finance & Banking, SCIENPRESS Ltd, volume 13, issue 4, pages 1-4.
• Emanuele Campiglio & Francesco Lamperti & Roberta Terranova, 2023, "Believe me when I say green! Heterogeneous expectations and climate policy uncertainty," LEM Papers Series, Laboratory of Economics and Management (LEM), Sant'Anna School of Advanced Studies, Pisa, Italy, number 2023/12, Mar.
• Lucrezia Fanti & Marcelo C. Pereira & Maria Enrica Virgillito, 2023, "A North-South agent based model of segmented labour markets. The role of education and trade asymmetries," LEM Papers Series, Laboratory of Economics and Management (LEM), Sant'Anna School of Advanced Studies, Pisa, Italy, number 2023/17, Apr.
• Marco Amendola & Francesco Lamperti & Andrea Roventini & Alessandro Sapio, 2023, "Energy efficiency policies in an agent-based macroeconomic model," LEM Papers Series, Laboratory of Economics and Management (LEM), Sant'Anna School of Advanced Studies, Pisa, Italy, number 2023/20, May.
• Giovanni Dosi & Davide Usula & Maria Enrica Virgillito, 2023, "Increasing returns and labour markets in a predator-prey model," LEM Papers Series, Laboratory of Economics and Management (LEM), Sant'Anna School of Advanced Studies, Pisa, Italy, number 2023/21, May.
• Zhiyang Jia & Bodil M. Larsen & Bård Lian & Runa Nesbakken & Odd E. Nygård & Thor O. Thoresen & Trine E. Vattø, 2023, "The LOTTE system of tax microsimulation models," Discussion Papers, Statistics Norway, Research Department, number 1009, Nov.
• Zhiyang Jia & Stefan Leknes & Sturla A. Løkken, 2023, "Moving beyond expectations. From cohort-component to microsimulation projections," Discussion Papers, Statistics Norway, Research Department, number 999, Mar.
• Guglielmo Maria Caporale & Alex Plastun, 2023, "Witching days and abnormal profits in the us stock market," Cogent Economics & Finance, Taylor & Francis Journals, volume 11, issue 1, pages 2182016-218, December, DOI: 10.1080/23322039.2023.2182016.