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

2025

• Daniel Maas & Roberto Panzica & Martín Saldías, 2025, "Developing a Financial Stability Network Model: The Macroprudential Two-Mode Network (M2MN) toolbox," Working Papers, Banco de Portugal, Economics and Research Department, number w202512.
• Frederico Mira Godinho & Orchi Modhurima, 2025, "Understanding Household Vulnerabilities in Portugal," Working Papers, Banco de Portugal, Economics and Research Department, number w202522.
• Prasun Bhattacharjee & Srijeeta Sen, 2025, "Hybrid Metaheuristic-Machine Learning Framework For Optimizing Solar Pv Layouts On Irregular Urban Rooftops," Journal of Information Systems & Operations Management, Romanian-American University, volume 19, issue 2, pages 63-78, December, DOI: 10.5281/zenodo.21682132.
• Madhavi Pundit & Arief Ramayandi & Patrick Jaime Simba & Dennis Sorino & Sharyl Rose Tan, 2025, "Monitoring Business Cycle Fluctuations in Asia," ADB Economics Working Paper Series, Asian Development Bank, number 766, Jan.
• Lorenza Campagnolo & Gabriele Mansi & Francesco Bosello & David Raitzer, 2025, "Quantifying the Economic Costs of Climate Change Inaction for Asia and the Pacific," ADB Economics Working Paper Series, Asian Development Bank, number 771, Mar.
• Samir Jeddi, 2025, "Grid Connection Sizing of Hybrid PV-Battery Systems: Navigating Market Volatility and Infrastructure Constraints," EWI Working Papers, Energiewirtschaftliches Institut an der Universitaet zu Koeln (EWI), number 2025-5, May.
• Abdolrahim Hashemi Dizaj & Roghayyeh Nazemfar, 2025, "Effect of the Central Bank's Contractionary Monetary Policy on Banks' Risk-Taking based on the Factor-Based Approach," Quarterly Journal of Applied Theories of Economics, Faculty of Economics, Management and Business, University of Tabriz, volume 12, issue 3, pages 1-24.
• Giorgi Nikolaishvili & David Evans, 2025, "Efficient Aggregation in Heterogeneous Agents Models with Bounded Rationality," Working Papers, Wake Forest University, Economics Department, number 124, Mar.
• Yong B. SHIN & Siddharth BASWANI, 2025, "Unravelling Consumer Choices: A Comparative Analysis of Decision-Making Models," Management and Economics Review, Faculty of Management, Academy of Economic Studies, Bucharest, Romania, volume 10, issue 1, pages 158-164, February.
• Maria Laura Ojeda & Exequiel Romero-Gomez & Luca Salvatici & Cristina Vaquero-Piñeiro, 2025, "The Sustainability Of Agri-Food Systems: Is Organic Production Part Of The Solution?," Departmental Working Papers of Economics - University 'Roma Tre', Department of Economics - University Roma Tre, number 0287, May.
• Martina Neuländtner & Thomas Scherngell & Xielin Liu & Xiaohui Ji & Xuechen Ding & Manfred Paier, 2025, "Dynamics of regional knowledge creation and inter-city R&D collaboration in China: evidence from an empirical agent-based simulation model," The Annals of Regional Science, Springer;Western Regional Science Association, volume 74, issue 3, pages 1-45, September, DOI: 10.1007/s00168-025-01402-5.
• Alessandro Ramponi & M. Elisabetta Tessitore, 2025, "The economic cost of social distancing during a pandemic: an optimal control approach in the SVIR model," Decisions in Economics and Finance, Springer;Associazione per la Matematica, volume 48, issue 1, pages 485-516, June, DOI: 10.1007/s10203-023-00406-0.
• Ludovic Goudenège & Andrea Molent & Antonino Zanette, 2025, "Backward hedging for American options with transaction costs," Decisions in Economics and Finance, Springer;Associazione per la Matematica, volume 48, issue 1, pages 541-569, June, DOI: 10.1007/s10203-024-00472-y.
• Raffaella Coppier & Elisabetta Michetti & Anastasiia Panchuk, 2025, "Evolution of dishonest behavior in public procurement: the role of updating control," Decisions in Economics and Finance, Springer;Associazione per la Matematica, volume 48, issue 2, pages 1613-1639, December, DOI: 10.1007/s10203-024-00483-9.
• Davide La Torre & Simone Marsiglio & Franklin Mendivil & Fabio Privileggi, 2025, "Stochastic optimal growth under state-dependent probabilities," Decisions in Economics and Finance, Springer;Associazione per la Matematica, volume 48, issue 2, pages 1719-1753, December, DOI: 10.1007/s10203-025-00528-7.
• Kensuke Ohtake, 2025, "Pattern formation by advection-diffusion in new economic geography," Decisions in Economics and Finance, Springer;Associazione per la Matematica, volume 48, issue 2, pages 2157-2192, December, DOI: 10.1007/s10203-025-00533-w.
• Saurabh Bansal & Srinivasan Natesan, 2025, "An efficient and robust computational approach to passport option pricing PDEs," Decisions in Economics and Finance, Springer;Associazione per la Matematica, volume 48, issue 2, pages 1931-1956, December, DOI: 10.1007/s10203-025-00537-6.
• Ilyas Agakishiev & Wolfgang Karl Härdle & Denis Becker & Xiaorui Zuo, 2025, "Regime switching forecasting for cryptocurrencies," Digital Finance, Springer, volume 7, issue 1, pages 107-131, March, DOI: 10.1007/s42521-024-00123-2.
• Swachha Sisir Das & Sasmita Mishra & Zefree Lazarus Mayaluri, 2025, "Conditional GAN-based synthetic financial modeling for street vendors in India’s informal economy," Digital Finance, Springer, volume 7, issue 4, pages 653-677, December, DOI: 10.1007/s42521-025-00145-4.
• Yali Zhang & Zhenbin Ding & Jun Sun & Xingfang Zhao & Xu Hu & Zhaojun Yang, 2025, "Optimizing AI strategies in e-commerce customer service: An agent-based simulation," Electronic Markets, Springer;IIM University of St. Gallen, volume 35, issue 1, pages 1-22, December, DOI: 10.1007/s12525-025-00821-8.
• Stefano Ferretti & Gabriele D’Angelo & Te Bao & Luyao Zhang, 2025, "Special issue on “Fintech and decentralized finance”," Electronic Markets, Springer;IIM University of St. Gallen, volume 35, issue 1, pages 1-3, December, DOI: 10.1007/s12525-025-00846-z.
• Aleksandar Arandjelović & Thorsten Rheinländer & Pavel V. Shevchenko, 2025, "Importance sampling for option pricing with feedforward neural networks," Finance and Stochastics, Springer, volume 29, issue 1, pages 97-141, January, DOI: 10.1007/s00780-024-00549-x.
• Benjamin Jourdain & Gilles Pagès, 2025, "Convex ordering for stochastic Volterra equations and their Euler schemes," Finance and Stochastics, Springer, volume 29, issue 1, pages 1-62, January, DOI: 10.1007/s00780-024-00551-3.
• Manon Costa & Sébastien Gadat & Lorick Huang, 2025, "CV@R-penalised portfolio optimisation with biased stochastic mirror descent," Finance and Stochastics, Springer, volume 29, issue 3, pages 609-664, July, DOI: 10.1007/s00780-025-00568-2.
• Christian Bayer & Luca Pelizzari & John Schoenmakers, 2025, "Primal and dual optimal stopping with signatures," Finance and Stochastics, Springer, volume 29, issue 4, pages 981-1014, October, DOI: 10.1007/s00780-025-00570-8.
• Gero Junike & Hauke Stier & Marcus Christiansen, 2025, "Profit and loss decomposition in continuous time and approximations," Finance and Stochastics, Springer, volume 29, issue 4, pages 1075-1107, October, DOI: 10.1007/s00780-025-00571-7.
• Ece Zeliha Demirci & Joachim Arts & Geert-Jan van Houtum, 2025, "A restless bandit approach for capacitated condition based maintenance scheduling," Flexible Services and Manufacturing Journal, Springer, volume 37, issue 1, pages 179-207, March, DOI: 10.1007/s10696-024-09544-y.
• Rizwan Ullah & Muhammad Naveed Jan & Muhammad Tahir, 2025, "Unveiling the optimal factor model in Pakistan: a machine learning approach using support vector regression and extreme gradient boosting algorithms," Future Business Journal, Springer, volume 11, issue 1, pages 1-20, December, DOI: 10.1186/s43093-025-00560-4.
• Dina Ait Lahcen & Nour-Eddin Amghar, 2025, "Econometric modeling for proactive risk management of financial failure in Moroccan SMEs: a stepwise logistic regression approach in python," Future Business Journal, Springer, volume 11, issue 1, pages 1-25, December, DOI: 10.1186/s43093-025-00613-8.
• M. Javed Idrisi & Ruchi Gupta & Ramapati Maurya & Kushal Lalwani & Dawit Beza, 2025, "Modeling the dynamics of Indian exports, US tariffs, and competitiveness," Future Business Journal, Springer, volume 11, issue 1, pages 1-16, December, DOI: 10.1186/s43093-025-00667-8.
• Hicham El Ouazzani & Hicham Ouakil & Ilma Sharif & Abdelhamid Moustabchir & Syed Tehseen Jawaid, 2025, "Climate shocks and economic resilience: a DSGE analysis of Morocco’s monetary policy adjustments," Indian Economic Review, Springer, volume 60, issue 1, pages 79-103, June, DOI: 10.1007/s41775-025-00250-6.
• Lydia Simon, 2025, "A generalised comparison of Pareto/NBD based forecasts using MCMC, maximum likelihood, and heuristics," Journal of Business Economics, Springer, volume 95, issue 8, pages 1079-1105, November, DOI: 10.1007/s11573-025-01237-8.
• Robert Kirkby, 2025, "Discretizing earnings dynamics: implications of Gaussian-mixture shocks for life-cycle models," The Japanese Economic Review, Springer, volume 76, issue 2, pages 493-519, April, DOI: 10.1007/s42973-025-00196-7.
• Andrea Teglio, 2025, "Rationality, inequality, and the output gap: evidence from a disaggregated Keynesian cross diagram," Journal of Economic Interaction and Coordination, Springer;Society for Economic Science with Heterogeneous Interacting Agents, volume 20, issue 1, pages 107-139, January, DOI: 10.1007/s11403-024-00412-4.
• Damian Pierri, 2025, "Simulations for models with heterogeneous agents, incomplete markets, real assets and aggregate uncertainty," Journal of Economic Interaction and Coordination, Springer;Society for Economic Science with Heterogeneous Interacting Agents, volume 20, issue 1, pages 197-236, January, DOI: 10.1007/s11403-024-00415-1.
• Szymon Chudziak, 2025, "Studying economic complexity with agent-based models: advances, challenges and future perspectives," Journal of Economic Interaction and Coordination, Springer;Society for Economic Science with Heterogeneous Interacting Agents, volume 20, issue 2, pages 413-449, April, DOI: 10.1007/s11403-024-00428-w.
• James Boohaker, 2025, "Exploring the role of character traits in the iterated prisoner’s dilemma using case-based decision theory," Journal of Economic Interaction and Coordination, Springer;Society for Economic Science with Heterogeneous Interacting Agents, volume 20, issue 2, pages 335-370, April, DOI: 10.1007/s11403-024-00436-w.
• Gianluca Biggi & Andrea Caravaggio, 2025, "Striving for balance: past choices and future expectations in a critical resource competition dynamic model," Journal of Economic Interaction and Coordination, Springer;Society for Economic Science with Heterogeneous Interacting Agents, volume 20, issue 3, pages 701-723, July, DOI: 10.1007/s11403-024-00429-9.
• Lilian N. Rolim & Gilberto Tadeu Lima & Carolina Troncoso Baltar, 2025, "The impact of international trade shocks on domestic output, income distribution, and inflation in an agent-based model," Journal of Economic Interaction and Coordination, Springer;Society for Economic Science with Heterogeneous Interacting Agents, volume 20, issue 4, pages 843-894, October, DOI: 10.1007/s11403-025-00450-6.
• Sining Wang, 2025, "Classifying heterogeneous cooperation in social dilemmas: experimental evidence and simulation insights," Journal of Economic Interaction and Coordination, Springer;Society for Economic Science with Heterogeneous Interacting Agents, volume 20, issue 4, pages 925-958, October, DOI: 10.1007/s11403-025-00451-5.
• Christopher J. Elias, 2025, "Bank runs via social networks," Journal of Economic Interaction and Coordination, Springer;Society for Economic Science with Heterogeneous Interacting Agents, volume 20, issue 4, pages 1045-1066, October, DOI: 10.1007/s11403-025-00452-4.
• Vinícius Manhães & Miguel Vazquez & Ana Urraca, 2025, "Innovation and the Evolution of Market Structure in Complex Industries: An Agent-Based Model Simulation in the Internet Industry," Journal of the Knowledge Economy, Springer;Portland International Center for Management of Engineering and Technology (PICMET), volume 16, issue 6, pages 17994-18014, December, DOI: 10.1007/s13132-024-02557-w.
• Luca Gerotto & Paolo Pellizzari & Marco Tolotti, 2025, "Fleeting extinction? Unraveling the persistence of noise traders in financial markets with learning and replacement," Journal of Evolutionary Economics, Springer, volume 35, issue 2, pages 355-379, April, DOI: 10.1007/s00191-025-00892-y.
• Lilit Popoyan & Alessandro Sapio, 2025, "Prevention first vs. cap-and-trade policies in an agent-based integrated assessment model with GHG emissions permits," Journal of Evolutionary Economics, Springer, volume 35, issue 2, pages 309-354, April, DOI: 10.1007/s00191-025-00896-8.
• Paolo Zeppini & Jeroen C. J. M. Bergh, 2025, "Did COVID-19 help or harm the climate? Modeling long-run emissions under climate and stimulus policies," Journal of Evolutionary Economics, Springer, volume 35, issue 4, pages 721-757, September, DOI: 10.1007/s00191-025-00908-7.
• R. Donangelo & H. Fort, 2025, "The Fisher/Price theorem applied to companies across various industries: Natural selection and environment change," Journal of Evolutionary Economics, Springer, volume 35, issue 5, pages 855-872, November, DOI: 10.1007/s00191-025-00911-y.
• Henk-Wim de Boer & Egbert Jongen & Patrick Koot, 2025, "Too much of a good thing? Using tax incentives to stimulate dual-earner couples," Journal of Population Economics, Springer;European Society for Population Economics, volume 38, issue 4, pages 1-26, December, DOI: 10.1007/s00148-025-01126-y.
• Debi Prasad Bal, 2025, "How much public debt is threshold in India?," Journal of Social and Economic Development, Springer;Institute for Social and Economic Change, volume 27, issue 1, pages 105-119, April, DOI: 10.1007/s40847-023-00308-2.
• Heinz Herrmann & M. J. Cobo Martín, 2025, "Bidding for B2B or B2G tenders: toward the adoption of pricing models in practice," Management Review Quarterly, Springer, volume 75, issue 2, pages 1495-1533, June, DOI: 10.1007/s11301-024-00424-1.
• Kensuke Ohtake, 2025, "Continuous space core-periphery model with transport costs in differentiated agriculture," Portuguese Economic Journal, Springer;Instituto Superior de Economia e Gestao, volume 24, issue 3, pages 469-502, September, DOI: 10.1007/s10258-025-00273-0.
• Mara Dumitru Alexandru & Cristescu Marian Pompiliu & Culda Lia Cornelia, 2025, "Analyzing the Efficacy of Personalized E-Commerce Recommendations Based on Data Analysis," Springer Proceedings in Business and Economics, Springer, in: Vicky Katsoni & Carlos Costa, "Innovation and Creativity in Tourism, Business and Social Sciences", DOI: 10.1007/978-3-031-87019-4_36.
• Rosa Ferrentino & Luca Vota, 2025, "A statistical-mathematical analysis of the macroeconomic effects of long-memory total factor productivity," Quality & Quantity: International Journal of Methodology, Springer, volume 59, issue 6, pages 5795-5835, December, DOI: 10.1007/s11135-025-02284-7.
• Runhui Lin & Yalin Li & Wenchang Li & Ze Ji & Biting Li, 2025, "AI-enabled individual learning strategies and scientific innovation: a case from the field of computer science," Scientometrics, Springer;Akadémiai Kiadó, volume 130, issue 7, pages 3651-3677, July, DOI: 10.1007/s11192-025-05345-8.
• Aaron D. Wood & Charles F. Mason & David Finnoff, 2025, "The development of OPEC: an evolutionary game theory and agent-based modeling approach," SN Business & Economics, Springer, volume 5, issue 7, pages 1-18, July, DOI: 10.1007/s43546-024-00776-6.
• Julien Brice Minkande, 2025, "Farming Households Facing Food Insecurity in Cameroon: What Indicators for Resilience?," Social Indicators Research: An International and Interdisciplinary Journal for Quality-of-Life Measurement, Springer, volume 177, issue 2, pages 809-832, March, DOI: 10.1007/s11205-025-03534-9.
• Marco Amendola & Marcelo C. Pereira, 2025, "Are fiscal multipliers state dependent? Insights from an agent-based model," LEM Papers Series, Laboratory of Economics and Management (LEM), Sant'Anna School of Advanced Studies, Pisa, Italy, number 2025/10, Apr.
• Nazira Kakulia & Salome Tvalodze, 2025, "Determinants of ESG sustainability in financial systems: a fuzzy cognitive approach with a focus on Georgia," Entrepreneurship and Sustainability Issues, VsI Entrepreneurship and Sustainability Center, volume 12, issue 3, pages 10-21, March, DOI: 10.9770/s6258796776.
• Siqi Wei, 2025, "Estimating Latent-Variable Panel Data Models Using Parameter-Expanded SEM Methods," Journal of Business & Economic Statistics, Taylor & Francis Journals, volume 43, issue 2, pages 324-337, April, DOI: 10.1080/07350015.2024.2365783.
• Matteo Gambara & Giulia Livieri & Andrea Pallavicini, 2025, "Machine-learning regression methods for American-style path-dependent contracts," Quantitative Finance, Taylor & Francis Journals, volume 25, issue 6, pages 895-918, June, DOI: 10.1080/14697688.2025.2517272.
• Jim Bullard & Alex Grimaud & Isabelle Salle & Gauthier Vermandel, 2025, "Soft Landing and Inflation Scares," Tinbergen Institute Discussion Papers, Tinbergen Institute, number 25-001/VI, Jan.
• Bernd Heidergott & Frank den Hollander & Ines Lindner & Azadeh Parvaneh, 2025, "Efficient Information Aggregation: Optimal Structure of Signal Network," Tinbergen Institute Discussion Papers, Tinbergen Institute, number 25-038/II, May.
• Capilla, Javier & Alcaraz, Alba & Valarezo, à ngel & García-Hiernaux, Alfredo & Pérez Amaral, Teodosio, 2025, "Eco-RETINA: a green flexible algorithm for model building," Documentos de Trabajo del ICAE, Universidad Complutense de Madrid, Facultad de Ciencias Económicas y Empresariales, Instituto Complutense de Análisis Económico, number 2025-01.
• Zhonghui Zhang & Chihwa Kao & Jungbin Hwang, 2025, "High-Dimensional Weighted K-Means with Serial Dependence," Working papers, University of Connecticut, Department of Economics, number 2025-09, Aug.
• Olga Bondarenko, 2025, "Shockwaves from Ukraine: Trends and Gaps in Agricultural Commodity Prices," Working Papers, National Bank of Ukraine, number 02/2025, Jun, DOI: 10.26531/vnbu2025.wp02.

2024

• Gopi Kumar Bulusu, 2024, "Towards Conscious Machines for Interplanetary Space Travel," maedha, SCCI a division of Gravity 2.0 Research Foundation, volume 1, pages 01-20.
• Zhiyang Jia & Bodil M Larsen & Bård Lian & Runa Nesbakken & Odd E Nygård & Thor O Thoresen & Trine E Vattø, 2024, "The LOTTE System of Tax Microsimulation Models," International Journal of Microsimulation, International Microsimulation Association, volume 17, issue 3, pages 73-95, DOI: 10.34196/ijm.00308.
• Yuji Shinozaki, 2024, "A Review of New Developments in Finance with Deep Learning: Deep Hedging and Deep Calibration," IMES Discussion Paper Series, Institute for Monetary and Economic Studies, Bank of Japan, number 24-E-02, Apr.
• Christopher McMahon & Donald McGillivray & Ajit Desai & Francisco Rivadeneyra & Jean-Paul Lam & Thomas Lo & Danica Marsden & Vladimir Skavysh, 2024, "Improving the Efficiency of Payments Systems Using Quantum Computing," Management Science, INFORMS, volume 70, issue 10, pages 7325-7341, October, DOI: 10.1287/mnsc.2023.00314.
• Khudri, Md Mohsan & Hussey, Andrew, 2024, "Breastfeeding and Child Development Outcomes across Early Childhood and Adolescence: Doubly Robust Estimation with Machine Learning," IZA Discussion Papers, IZA Network @ LISER, number 17080, Jun.
• Mehmet Cengiz Calikoglu, 2024, "Kolektif Siber Guvenligin Onemi ve Turk Devletler Teskilati/The Importance of Collective Cybersecurity and the Organization of Turkic States," Journal of Quantum Technologies and Informatics Research, Holistence Publications, volume 2, issue 1, pages 1-13, February, DOI: doi.org/10.5281/zenodo.10102956.
• Sevdanur GENC, 2024, "Implementation of Quantum Weyl Transformations on Cirq," Journal of Quantum Technologies and Informatics Research, Holistence Publications, volume 2, issue 1, pages 15-29, February, DOI: doi.org/10.5281/zenodo.10102956.
• Ayetullah Ercel & Emin ULUGERGERLI, 2024, "Hamiltonian Analysis of Amino Acid Sequences by Quantum Computing," Journal of Quantum Technologies and Informatics Research, Holistence Publications, volume 2, issue 1, pages 31-43, February, DOI: doi.org/10.5281/zenodo.10102956.
• Osman Semi Ceylan & Cumali Yasar, 2024, "Hamiltonian Analysis of Amino Acid Sequences by Quantum Computing," Journal of Quantum Technologies and Informatics Research, Holistence Publications, volume 2, issue 1, pages 45-49, February, DOI: doi.org/10.5281/zenodo.10102956.
• Vallès Codina Oriol & Semmler Willi, 2024, "Time Scales of the Low-Carbon Transition: A Data-Driven Dynamic Multi-Sector Growth Model," Journal of Economics and Statistics (Jahrbuecher fuer Nationaloekonomie und Statistik), De Gruyter, volume 244, issue 3, pages 169-200, June, DOI: 10.1515/jbnst-2023-0040.
• Reinwald Patrick & Leitner Stephan & Wall Friederike, 2024, "Performance-Based Pay and Limited Information Access. An Agent-Based Model of the Hidden Action Problem," Journal of Economics and Statistics (Jahrbuecher fuer Nationaloekonomie und Statistik), De Gruyter, volume 244, issue 4, pages 381-423, DOI: 10.1515/jbnst-2023-0101.
• Charles Guy Njike Leunga & Donatien Hainaut, 2024, "Affine Heston model style with self-exciting jumps and long memory," Annals of Finance, Springer, volume 20, issue 1, pages 1-43, March, DOI: 10.1007/s10436-023-00436-z.
• Kun Xing & Honggang Li, 2024, "The profitability of interacting trading strategies from an ecological perspective," Annals of Finance, Springer, volume 20, issue 3, pages 377-394, September, DOI: 10.1007/s10436-024-00445-6.
• Vinícius Ferraz & Thomas Pitz, 2024, "Analyzing the Impact of Strategic Behavior in an Evolutionary Learning Model Using a Genetic Algorithm," Computational Economics, Springer;Society for Computational Economics, volume 63, issue 2, pages 437-475, February, DOI: 10.1007/s10614-022-10348-1.
• Itza Tlaloc Quetzalcoatl Curiel-Cabral & Sonia Giannatale & Giselle Labrador-Badía, 2024, "Risk Aversion, Reservation Utility and Bargaining Power: An Evolutionary Algorithm Approximation of Incentive Contracts," Computational Economics, Springer;Society for Computational Economics, volume 63, issue 2, pages 477-511, February, DOI: 10.1007/s10614-022-10349-0.
• Rama K. Malladi, 2024, "Application of Supervised Machine Learning Techniques to Forecast the COVID-19 U.S. Recession and Stock Market Crash," Computational Economics, Springer;Society for Computational Economics, volume 63, issue 3, pages 1021-1045, March, DOI: 10.1007/s10614-022-10333-8.
• Mehmet Sahiner, 2024, "Volatility Spillovers and Contagion During Major Crises: An Early Warning Approach Based on a Deep Learning Model," Computational Economics, Springer;Society for Computational Economics, volume 63, issue 6, pages 2435-2499, June, DOI: 10.1007/s10614-023-10412-4.
• Rachid Belhachemi, 2024, "Option Valuation with Conditional Heteroskedastic Hidden Truncation Models," Computational Economics, Springer;Society for Computational Economics, volume 63, issue 6, pages 2585-2601, June, DOI: 10.1007/s10614-023-10480-6.
• Efstathios Polyzos & Costas Siriopoulos, 2024, "Autoregressive Random Forests: Machine Learning and Lag Selection for Financial Research," Computational Economics, Springer;Society for Computational Economics, volume 64, issue 1, pages 225-262, July, DOI: 10.1007/s10614-023-10429-9.
• Marco P. Tucci, 2024, "A Critical Introduction to the Usual Robust Control Framework in Macroeconomics," Computational Economics, Springer;Society for Computational Economics, volume 64, issue 2, pages 625-641, August, DOI: 10.1007/s10614-023-10454-8.
• Rebecca Westphal & Didier Sornette, 2024, "How Market Intervention can Prevent Bubbles and Crashes: An Agent Based Modelling Approach," Computational Economics, Springer;Society for Computational Economics, volume 64, issue 3, pages 1315-1356, September, DOI: 10.1007/s10614-023-10462-8.
• David Alaminos & María Belén Salas & Manuel A. Fernández-Gámez, 2024, "High-Frequency Trading in Bond Returns: A Comparison Across Alternative Methods and Fixed-Income Markets," Computational Economics, Springer;Society for Computational Economics, volume 64, issue 4, pages 2263-2354, October, DOI: 10.1007/s10614-023-10502-3.
• Hyeong-Ohk Bae & Seunggu Kang & Muhyun Lee, 2024, "Option Pricing and Local Volatility Surface by Physics-Informed Neural Network," Computational Economics, Springer;Society for Computational Economics, volume 64, issue 5, pages 3143-3159, November, DOI: 10.1007/s10614-024-10551-2.
• Julien Albertini & Stéphane Moyen, 2024, "A General and Efficient Method for Solving Regime-Switching DSGE Models," Computational Economics, Springer;Society for Computational Economics, volume 64, issue 6, pages 3645-3682, December, DOI: 10.1007/s10614-024-10570-z.
• M. Cristina Molinari, 2024, "Much ado about nothing: voting in sixteenth-century Republic of Genoa," Constitutional Political Economy, Springer, volume 35, issue 2, pages 327-348, June, DOI: 10.1007/s10602-023-09414-z.
• Yukio Sadahiro & Hidetaka Matsumoto, 2024, "Analysis of a spatial point pattern in relation to a reference point," Journal of Geographical Systems, Springer, volume 26, issue 3, pages 351-373, July, DOI: 10.1007/s10109-023-00434-9.
• Yijiang Zhao & Daoan Zhang & Lei Jiang & Qi Liu & Yizhi Liu & Zhuhua Liao, 2024, "EIBC: a deep learning framework for Chinese toponym recognition with multiple layers," Journal of Geographical Systems, Springer, volume 26, issue 3, pages 407-425, July, DOI: 10.1007/s10109-024-00441-4.
• Kevin Credit & Matthew Lehnert, 2024, "A structured comparison of causal machine learning methods to assess heterogeneous treatment effects in spatial data," Journal of Geographical Systems, Springer, volume 26, issue 4, pages 483-510, October, DOI: 10.1007/s10109-023-00413-0.
• Krzysztof Węcel & Milena Stróżyna & Marcin Szmydt & Witold Abramowicz, 2024, "The Impact of Crises on Maritime Traffic: A Case Study of the COVID-19 Pandemic and the War in Ukraine," Networks and Spatial Economics, Springer, volume 24, issue 1, pages 199-230, March, DOI: 10.1007/s11067-023-09612-0.
• Carlos Miguel Glória & José Carlos Dias & Aricson Cruz, 2024, "Pricing levered warrants under the CEV diffusion model," Review of Derivatives Research, Springer, volume 27, issue 1, pages 55-84, April, DOI: 10.1007/s11147-023-09199-1.
• Yeda Cui & Lingfei Li & Gongqiu Zhang, 2024, "Pricing and hedging autocallable products by Markov chain approximation," Review of Derivatives Research, Springer, volume 27, issue 3, pages 259-303, October, DOI: 10.1007/s11147-024-09206-z.
• Szerb, László & Varga, Attila & Sebestyén, Tamás & Szabó, Norbert, 2024, "A vállalkozói ökoszisztémát fejlesztő szakpolitikák regionális hatásának elemzése az EU három országában
  [Assessing the regional impacts of policies to develop entrepreneurial ecosystems in three EU countries]," Közgazdasági Szemle (Economic Review - monthly of the Hungarian Academy of Sciences), Közgazdasági Szemle Alapítvány (Economic Review Foundation), volume 0, issue 11, pages 1141-1175, DOI: 10.18414/KSZ.2024.11.1141.
• Adam Hallengreen & Thomas H. Joergensen & Annasofie M. Olesen, 2024, "Household Bargaining with Limited Commitment: A Practitioners Guide," CEBI working paper series, University of Copenhagen. Department of Economics. The Center for Economic Behavior and Inequality (CEBI), number 24-09, May.
• Adam Hallengreen & Thomas H. Joergensen & Annasofie M. Olesen, 2024, "The Endogenous Grid Method without Analytical Inverse Marginal Utility," CEBI working paper series, University of Copenhagen. Department of Economics. The Center for Economic Behavior and Inequality (CEBI), number 24-11, May.
• Gustavo Mellior & Katsuyuki Shibayama, 2024, "Solving HACT models with bankruptcy choice," Working Papers, University of Liverpool, Department of Economics, number 202412, Jul.
• Viktors Ajevskis, 2024, "One Who Hesitates Is Lost: Monetary Policy Under Model Uncertainty and Model Misspecification," Working Papers, Latvijas Banka, number 2024/07, Dec.
• Jonathan F. Cogliano and Roberto Veneziani, 2024, "Classical Competition and Equilibrium: An Agent-Based Analysis," Working Papers, University of Massachusetts Boston, Economics Department, number 2024-01, Apr.
• Johannes Kruse & Christoph Engel, 2024, "Professor GPT: Having a large language model write a commentary on freedom of assembly," Discussion Paper Series of the Max Planck Institute for Behavioral Economics, Max Planck Institute for Behavioral Economics, number 2024_14, Oct, revised Feb 2025.
• Jesús Fernández-Villaverde & Yang Yu & Francesco Zanetti, 2024, "Technological Synergies, Heterogeneous Firms, and Uncertainty Shocks," NBER Working Papers, National Bureau of Economic Research, Inc, number 32247, Mar.
• Gautam Gowrisankaran & Philipp Schmidt-Dengler, 2024, "A Computable Dynamic Oligopoly Model of Capacity Investment," NBER Working Papers, National Bureau of Economic Research, Inc, number 32399, May.
• James R. Markusen, 2024, "Exploiting Complementarity in Applied General-Equilibrium Models: Heterogeneous Firms, Multinationals, Capacity Constraints, Endogenous Zeros," NBER Working Papers, National Bureau of Economic Research, Inc, number 32721, Jul.
• Jesús Fernández-Villaverde & Galo Nuño & Jesse Perla, 2024, "Taming the Curse of Dimensionality: Quantitative Economics with Deep Learning," NBER Working Papers, National Bureau of Economic Research, Inc, number 33117, Nov.
• Mark Setterfield & George Wheaton, 2024, "Animal spirits and the Goodwin pattern," Working Papers, New School for Social Research, Department of Economics, number 2407, May.
• Elnura Baiaman kyzy & Roberto Leon-Gonzalez, 2024, "Estimation of Nonlinear DSGE Models Through Laplace Based Solutions," GRIPS Discussion Papers, National Graduate Institute for Policy Studies, number 24-06, Jul.
• New Zealand Treasury, 2024, "Distribution Explorer," Treasury Modelling and Data Tools, New Zealand Treasury, number DE, revised .
• New Zealand Treasury, 2024, "Income Explorer," Treasury Modelling and Data Tools, New Zealand Treasury, number IE, revised .
• Murat Özbilgin & Robert Kirkby, 2024, "Solving Stochastic OLG Models Using Chebyshev Parameterized Expectations," Treasury Working Paper Series, New Zealand Treasury, number 24/03, Jun.
• Donal Smith & Tony Huang & Dennis Dlugosch, 2024, "Assessing the impact of long-term global demographic changes on the Dutch economy and trade," OECD Economics Department Working Papers, OECD Publishing, number 1830, Dec, DOI: 10.1787/57318ff6-en.
• Lackner, Teresa & Fierro, Luca Eduardo & Mellacher, Patrick, 2024, "Opinion Dynamics meet Agent-based Climate Economics: An Integrated Analysis of Carbon Taxation," OSF Preprints, Center for Open Science, number rdfze, Mar, DOI: 10.31219/osf.io/rdfze.
• Lucrezia Fanti & Marcelo C Pereira & Maria Enrica Virgillito, 2024, "A North-South Agent–Based Model of segmented labor markets: the role of education and trade asymmetries," Industrial and Corporate Change, Oxford University Press and the Associazione ICC, volume 33, issue 2, pages 383-423.
• Emmanuel Skoufias & Katja Vinha & Berhe Mekonnen Beyene, 2024, "Quantifying Vulnerability to Poverty in the Drought-prone Lowlands of Ethiopia," Journal of African Economies, Centre for the Study of African Economies, volume 33, issue 2, pages 167-184.
• Luca Colombo & Herbert Dawid & Philipp Harting, 2024, "R&D location in dynamic industry environments," Journal of Economic Geography, Oxford University Press, volume 24, issue 1, pages 41-62.
• Laurent Maurin & Marcin Wolski, 2024, "Firm-level financial frictions and aggregate allocative efficiency," Oxford Economic Papers, Oxford University Press, volume 76, issue 4, pages 1052-1070.
• Jesús Fernández-Villaverde & Yang Yu & Francesco Zanetti, 2024, "Technological synergies, heterogeneous firms, and idiosyncratic volatility," Economics Series Working Papers, University of Oxford, Department of Economics, number 1037, Mar.
• Sergio A. Pernice, 2024, "Descomposición en valores singulares y análisis de factores en ciencias humanas y sociales
  [Singular Value Decomposition and factor analysis in Social Science and Humanities]," 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 37, pages 1-29, June, DOI: https://doi.org/10.46661/rev.metodo.
• Jesus Fernandez-Villaverde & Yang Yu & Francesco Zanetti, 2024, "Technological Synergies, Heterogeneous Firms, and Idiosyncratic Volatility," PIER Working Paper Archive, Penn Institute for Economic Research, Department of Economics, University of Pennsylvania, number 24-008, Aug.
• Jesús Fernández-Villaverde & Galo Nuno & Jesse Perla, 2024, "Taming the Curse of Dimensionality:Quantitative Economics with Deep Learning," PIER Working Paper Archive, Penn Institute for Economic Research, Department of Economics, University of Pennsylvania, number 24-034, Oct.
• Nicola Campigotto & Marco Catola & Andrè Cieplinksi & Simone D'Alessandro & Tiziano Distefano & Pietro Guarnieri & Till Heydenreich, 2024, "Scenario discovery for a just low-carbon transition," Discussion Papers, Dipartimento di Economia e Management (DEM), University of Pisa, Pisa, Italy, number 2024/304, Feb.
• Morales-Oñate, Víctor & Morales-Oñate, Bolívar, 2024, "Cluster Evolution Analytics," MPRA Paper, University Library of Munich, Germany, number 120220, Feb.
• Dushyn, Oleksiy & Dushyn, Borys, 2024, "Извлечение Информации Из Редких Событий В Регрессионном Анализе
  [Extracting information from rare events in regression analysis]," MPRA Paper, University Library of Munich, Germany, number 120235, Feb.
• Du, Zaichuan, 2024, "Solving Heterogeneous agent models in Continuous Time with Adaptive Sparse Grids," MPRA Paper, University Library of Munich, Germany, number 121381, Jul.
• Ibanez, Francisco & Urga, Giovanni, 2024, "Incorporating Market Regimes into Large-Scale Stock Portfolios: A Hidden Markov Model Approach," MPRA Paper, University Library of Munich, Germany, number 121552, Jul.
• Mukherjee, Krishnendu, 2024, "Machine Learning Methods for Surge Rate Prediction: A Case Study of Yassir," MPRA Paper, University Library of Munich, Germany, number 122151, Sep.
• Vanschoonbeek, Jakob, 2024, "The Spatial Political Economy of Discontent," MPRA Paper, University Library of Munich, Germany, number 122310, Jun.
• Sinha, Pankaj & Kumar, Amit & Biswas, Sumana & Gupta, Chirag, 2024, "Forecasting US Presidential Election 2024 using multiple machine learning algorithms," MPRA Paper, University Library of Munich, Germany, number 122490, Oct, revised 22 Oct 2024.
• Dayoro, Donatien, 2024, "Hybrid Model Construction for Integrating Climate Risks into Côte d'Ivoire's Economic Policy: Theoretical Approach and Management Strategies," MPRA Paper, University Library of Munich, Germany, number 122877, Nov, revised 05 Dec 2024.
• Dyakonova, Ludmila & Konstantinov, Alexey, 2024, "Approaches to risk analysis in the financial sector based on machine learning and artificial intelligence methods," MPRA Paper, University Library of Munich, Germany, number 122941, Dec.
• Rosso, Biagio & Gatto, Matteo, 2024, "Dynamics and Optimal Monetary-Fiscal Policy in Fiscally Dominant Economies with Occasionally Inflexible Monetary Authorities," MPRA Paper, University Library of Munich, Germany, number 125094, Sep, revised Jun 2025.
• Kejin Wu & Sayar Karmakar & Rangan Gupta, 2024, "GARCHX-NoVaS: A Model-Free Approach to Incorporate Exogenous Variables," Working Papers, University of Pretoria, Department of Economics, number 202425, Jun.
• Mihaela-Iuliana Dumitru & Consuela Dicu, 2024, "Transforming Financial Control Through Artificial Intelligence: A Modern Approach To Financial Oversight And Analysis," Scientific Bulletin - Economic Sciences, University of Pitesti, volume 23, issue 3, pages 35-44.
• Frederick Chen & Haosen He & Chu A.(Alex) Yu, 2024, "Modeling Behavioral Response to Infectious Diseases Under Information Delay," Working Papers, Wake Forest University, Economics Department, number 119, Oct.
• Robert-?tefan CONSTANTIN & Marina-Diana AGAFI?EI & Adriana AnaMaria DAVIDESCU, 2024, "Enhancing Portfolio Structure with Evolutionary Multi-Objective Optimisation," PROCEEDINGS OF THE INTERNATIONAL CONFERENCE ON ECONOMICS AND SOCIAL SCIENCES, Bucharest University of Economic Studies, Romania, volume 6, issue 1, pages 682-691, August.
• Dávid Csercsik & Anne Neumann, 2024, "A Solidarity Mechanism to Allocate Stored Natural Gas in Crisis," The Energy Journal, , volume 45, issue 5, pages 91-103, September, DOI: 10.1177/01956574241253982.
• Jonathan F Cogliano & Roberto Veneziani & Naoki Yoshihara, 2024, "The dynamics of international exploitation," Environment and Planning A, , volume 56, issue 5, pages 1420-1446, August, DOI: 10.1177/0308518X231224618.
• Jiaqi Ge & Bernardo Alves Furtado, 2024, "Modelling urban transition with coupled housing and labour markets," Environment and Planning B, , volume 51, issue 3, pages 590-609, March, DOI: 10.1177/23998083231186623.
• Mattia Pettena & Marco Raberto, 2024, "Energy transition and structural change: a calibrated Stock-Flow Consistent Input-Output model," CELPE Discussion Papers, CELPE - CEnter for Labor and Political Economics, University of Salerno, Italy, number 171, Dec.
• Oscar Torrealba Rodriguez, 2024, "The weight of circumstances in the inequality of opportunity in Mexico: an estimation over a wide set based on machine learning," Sobre México. Revista de Economía, Sobre México. Temas en economía, volume 1, issue 9, pages 160-195.
• Nikolas Schiozer & Gilberto Tadeu Lima & Michel Alexandre, 2024, "Heterogeneity in pricing behavior in hybrid DSGE-ABM macrodynamics," Working Papers, Department of Economics, University of São Paulo (FEA-USP), number 2024_26, Nov.
• Carme Frau & Viviana Fanelli, 2024, "Seasonality in commodity prices: new approaches for pricing plain vanilla options," Annals of Operations Research, Springer, volume 336, issue 1, pages 1089-1131, May, DOI: 10.1007/s10479-022-05128-x.
• Riccardo Brignone & Luca Gonzato & Carlo Sgarra, 2024, "Commodity Asian option pricing and simulation in a 4-factor model with jump clusters," Annals of Operations Research, Springer, volume 336, issue 1, pages 275-306, May, DOI: 10.1007/s10479-022-05152-x.
• Doojin Ryu & Jengei Hong & Hyunjae Jo, 2024, "Capturing locational effects: application of the K-means clustering algorithm," The Annals of Regional Science, Springer;Western Regional Science Association, volume 73, issue 1, pages 265-289, June, DOI: 10.1007/s00168-024-01263-4.
• Riu Naito & Toshihiro Yamada, 2024, "Deep high-order splitting method for semilinear degenerate PDEs and application to high-dimensional nonlinear pricing models," Digital Finance, Springer, volume 6, issue 4, pages 693-725, December, DOI: 10.1007/s42521-023-00091-z.
• Eric K. Clemons & Andrej Savin & Maximilian Schreieck & Stina Teilmann-Lock & Jan Trzaskowski & Ravi Waran, 2024, "A face of one’s own: The role of an online personae in a digital age and the right to control one’s own online personae in the presence of digital hacking," Electronic Markets, Springer;IIM University of St. Gallen, volume 34, issue 1, pages 1-16, December, DOI: 10.1007/s12525-024-00713-3.
• Vítor Ribeiro & João Barata & Paulo Rupino Cunha, 2024, "Modeling inter-organizational business process governance in the age of collaborative networks," Electronic Markets, Springer;IIM University of St. Gallen, volume 34, issue 1, pages 1-27, December, DOI: 10.1007/s12525-024-00730-2.
• Zhizhen Chen & Guifen Shi & Boyang Sun, 2024, "Cross-border spillovers in G20 sovereign CDS markets: cluster analysis based on K-means machine learning algorithm and TVP–VAR models," Empirical Economics, Springer, volume 67, issue 6, pages 2463-2502, December, DOI: 10.1007/s00181-024-02628-6.
• Atul Rawat & Shivam Joshi & Sushil Kumar Rai, 2024, "Evaluating the issue of sustainable tourism with a system dynamic approach: evidence from Uttarakhand, India," Environment, Development and Sustainability: A Multidisciplinary Approach to the Theory and Practice of Sustainable Development, Springer, volume 26, issue 10, pages 1-28, October, DOI: 10.1007/s10668-023-03711-1.
• Fred Espen Benth & Nils Detering & Luca Galimberti, 2024, "Pricing options on flow forwards by neural networks in a Hilbert space," Finance and Stochastics, Springer, volume 28, issue 1, pages 81-121, January, DOI: 10.1007/s00780-023-00520-2.
• Umut Çetin & Julien Hok, 2024, "Speeding up the Euler scheme for killed diffusions," Finance and Stochastics, Springer, volume 28, issue 3, pages 663-707, July, DOI: 10.1007/s00780-024-00534-4.
• Lukas Gonon, 2024, "Deep neural network expressivity for optimal stopping problems," Finance and Stochastics, Springer, volume 28, issue 3, pages 865-910, July, DOI: 10.1007/s00780-024-00538-0.
• Christian Bayer & Denis Belomestny & Oleg Butkovsky & John Schoenmakers, 2024, "A reproducing kernel Hilbert space approach to singular local stochastic volatility McKean–Vlasov models," Finance and Stochastics, Springer, volume 28, issue 4, pages 1147-1178, October, DOI: 10.1007/s00780-024-00541-5.
• Fred Espen Benth & Heidar Eyjolfsson, 2024, "Robustness of Hilbert space-valued stochastic volatility models," Finance and Stochastics, Springer, volume 28, issue 4, pages 1117-1146, October, DOI: 10.1007/s00780-024-00542-4.
• Carole Bernard & Gero Junike & Thibaut Lux & Steven Vanduffel, 2024, "Cost-efficient payoffs under model ambiguity," Finance and Stochastics, Springer, volume 28, issue 4, pages 965-997, October, DOI: 10.1007/s00780-024-00547-z.
• Maria Teresa Monteduro & Dalila Rosa & Chiara Subrizi, 2024, "How to Nowcast Uncertain Income Shocks in Microsimulation Models? Evidence from COVID-19 Effects on Italian Households," Italian Economic Journal: A Continuation of Rivista Italiana degli Economisti and Giornale degli Economisti, Springer;Società Italiana degli Economisti (Italian Economic Association), volume 10, issue 2, pages 871-900, July, DOI: 10.1007/s40797-023-00232-8.
• Friederike Wall, 2024, "Incomplete incentive contracts in complex task environments: an agent-based simulation with minimal intelligence agents," Journal of Economic Interaction and Coordination, Springer;Society for Economic Science with Heterogeneous Interacting Agents, volume 19, issue 3, pages 523-552, July, DOI: 10.1007/s11403-022-00357-6.
• Paul Brewer & Jeremy Juybari & Raymond Moberly, 2024, "A comparison of zero- and minimal-intelligence agendas in majority-rule voting models," Journal of Economic Interaction and Coordination, Springer;Society for Economic Science with Heterogeneous Interacting Agents, volume 19, issue 3, pages 403-437, July, DOI: 10.1007/s11403-023-00387-8.
• Nicola Visonà & Luca Riccetti, 2024, "Simulating the industrial revolution: a history-friendly model," Journal of Economic Interaction and Coordination, Springer;Society for Economic Science with Heterogeneous Interacting Agents, volume 19, issue 4, pages 831-862, October, DOI: 10.1007/s11403-024-00421-3.
• Davide Bazzana, 2024, "Animal spirits, bankruptcies, and monetary policy effectiveness in a hybrid macroeconomic agent-based financial accelerator model," Journal of Evolutionary Economics, Springer, volume 34, issue 1, pages 29-61, January, DOI: 10.1007/s00191-024-00856-8.
• Giovanni Dosi & Davide Usula & Maria Enrica Virgillito, 2024, "Increasing returns and labor markets in a predator–prey model," Journal of Evolutionary Economics, Springer, volume 34, issue 2, pages 375-402, April, DOI: 10.1007/s00191-024-00861-x.
• Siyan Chen & Saul Desiderio, 2024, "Does increasing the retirement age increase youth unemployment? Evidence from an agent-based macro model," Journal of Evolutionary Economics, Springer, volume 34, issue 4, pages 811-847, December, DOI: 10.1007/s00191-024-00873-7.
• Gerasimos Bertsatos & Nicholas Tsounis, 2024, "An Empirical Analysis of the Trade Impediments in Greece’s Global Trade Relationships: A CGE Approach," Springer Proceedings in Business and Economics, Springer, chapter 0, in: Nicholas Tsounis & Aspasia Vlachvei, "Applied Economic Research and Trends", DOI: 10.1007/978-3-031-49105-4_11.
• Giorgio Gnecco & Sara Landi & Massimo Riccaboni, 2024, "The emergence of social soft skill needs in the post COVID-19 era," Quality & Quantity: International Journal of Methodology, Springer, volume 58, issue 1, pages 647-680, February, DOI: 10.1007/s11135-023-01659-y.
• Fuat Sekmen & Isa Demirkol & Haşmet Gökırmak, 2024, "Evaluation of urban transportation preferences with analytical hierarchy process method," Quality & Quantity: International Journal of Methodology, Springer, volume 58, issue 3, pages 2087-2101, June, DOI: 10.1007/s11135-023-01731-7.
• Josef Zuk & David Kirszenblat, 2024, "Exact results for the distribution of the partial busy period for a multi-server queue," Queueing Systems: Theory and Applications, Springer, volume 107, issue 1, pages 63-108, June, DOI: 10.1007/s11134-024-09906-1.
• Josef Zuk & David Kirszenblat, 2024, "Analytic approach to the non-pre-emptive Markovian priority queue," Queueing Systems: Theory and Applications, Springer, volume 107, issue 1, pages 159-198, June, DOI: 10.1007/s11134-024-09912-3.
• Steven R. Williams & Konstantinos E. Zachariadis, 2024, "The asymptotics of price and strategy in the buyer’s bid double auction," Review of Economic Design, Springer;Society for Economic Design, volume 28, issue 1, pages 151-187, February, DOI: 10.1007/s10058-023-00338-6.
• Chris Reimann, 2024, "Predicting financial crises: an evaluation of machine learning algorithms and model explainability for early warning systems," Review of Evolutionary Political Economy, Springer, volume 5, issue 1, pages 51-83, June, DOI: 10.1007/s43253-024-00114-4.
• Apostolos Vetsikas & Yeoryios Stamboulis & Vasiliki Georgatzi, 2024, "Exploring the coevolution of heterogeneous actors in national innovation systems: a system dynamics analysis of Finland," Review of Evolutionary Political Economy, Springer, volume 5, issue 3, pages 581-610, October, DOI: 10.1007/s43253-024-00133-1.
• L. Peter Jennergren, 2024, "The economic incentive for risk taking in professional partnerships," Review of Managerial Science, Springer, volume 18, issue 7, pages 2141-2161, July, DOI: 10.1007/s11846-024-00737-1.
• Irfan Ahmed & Mohammad Arif Riaz & Ibrahim Abdou Alamir & Abdulwahab Mujalli & Alhussein Nasser Alayadh & Mohammad Jibran Gul Wani, 2024, "Income circular flow and its impact on sustainable agricultural productivity," SN Business & Economics, Springer, volume 4, issue 8, pages 1-20, August, DOI: 10.1007/s43546-024-00695-6.
• Balint Menyhert, 2024, "Absolute Poverty Measurement with Minimum Food Needs: A New Inverse Method for Advanced Economies," Social Indicators Research: An International and Interdisciplinary Journal for Quality-of-Life Measurement, Springer, volume 174, issue 1, pages 313-351, August, DOI: 10.1007/s11205-024-03368-x.
• Jau-Hung Yu & Bin-Tzong Chie, 2024, "Interplay and Implications of Urban Renewal under Dual Laws - An Agent-Based Simulation," Advances in Management and Applied Economics, SCIENPRESS Ltd, volume 14, issue 5, pages 1-1.
• Gianluca Pallante & Mattia Guerini & Mauro Napoletano & Andrea Roventini, 2024, "Robust-less-fragile: Tackling Systemic Risk and Financial Contagion in a Macro Agent-Based Model," LEM Papers Series, Laboratory of Economics and Management (LEM), Sant'Anna School of Advanced Studies, Pisa, Italy, number 2024/08, Mar.
• Teresa Lackner & Luca E. Fierro & Patrick Mellacher, 2024, "Opinion Dynamics meet Agent-based Climate Economics: An Integrated Analysis of Carbon Taxation," LEM Papers Series, Laboratory of Economics and Management (LEM), Sant'Anna School of Advanced Studies, Pisa, Italy, number 2024/11, Apr.
• Leonardo Ciambezi & Mattia Guerini & Mauro Napoletano & Andrea Roventini, 2024, "Accounting for the Multiple Sources of Inflation: an Agent-Based Model Investigation," LEM Papers Series, Laboratory of Economics and Management (LEM), Sant'Anna School of Advanced Studies, Pisa, Italy, number 2024/15, May.
• Lucrezia Fanti & Marcelo C. Pereira & Maria Enrica Virgillito, 2024, "The agents of industrial policy and the North-South convergence: State-owned enterprises in an international-trade macroeconomic ABM," LEM Papers Series, Laboratory of Economics and Management (LEM), Sant'Anna School of Advanced Studies, Pisa, Italy, number 2024/20, Sep.
• Victoria Kazieva & Christine Große & Christine Große & Aron Larsson & Aron Larsson, 2024, "Towards a unified regional vision: simulation to foster cross-municipal cooperation and planning," Insights into Regional Development, VsI Entrepreneurship and Sustainability Center, volume 6, issue 4, pages 54-81, December, DOI: 10.70132/n4934286437.
• Francesco Bartolucci & Claudia Pigini & Francesco Valentini, 2024, "MCMC conditional maximum likelihood for the two-way fixed-effects logit," Econometric Reviews, Taylor & Francis Journals, volume 43, issue 6, pages 379-404, July, DOI: 10.1080/07474938.2024.2339145.
• Jamie L. Cross & Lennart Hoogerheide & Paul Labonne & Herman K. van Dijk, 2024, "Flexible Negative Binomial Mixtures for Credible Mode Inference in Heterogeneous Count Data from Finance, Economics and Bioinformatics," Tinbergen Institute Discussion Papers, Tinbergen Institute, number 24-056/III, Sep.
• Zi Wang & Xingcheng Xu & Yanqing Yang & Xiaodong Zhu, 2024, "Optimal Trade and Industrial Policies in the Global Economy: A Deep Learning Framework," Working Papers, University of Toronto, Department of Economics, number tecipa-781, Jul.
• Gregor Boehl & Gavin Goy & Felix Strobel, 2024, "A Structural Investigation of Quantitative Easing," The Review of Economics and Statistics, MIT Press, volume 106, issue 4, pages 1028-1044, July, DOI: 10.1162/rest_a_01205.
• Paolo Pellizzari, 2024, "From Simplicity to Complexity: Three Models for Navigating the Present (Segregation, SIR, ChatGPT)," Working Papers, Department of Economics, University of Venice "Ca' Foscari", number 2024: 12.
• Marco Cozzi, 2024, "Rank-Dependent Probability Weighting And The Macroeconomy: Insights From A Model With Incomplete Markets And Aggregate Shocks," Department Discussion Papers, Department of Economics, University of Victoria, number 2402, May, revised Mar 2025.
• HABIBI, Reza, 2024, "A Note On The Early Warning System Of Change Points: Combination Of Regime Switching And Threshold Models," Studii Financiare (Financial Studies), Centre of Financial and Monetary Research "Victor Slavescu", volume 28, issue 2, pages 6-18, June.
• Mariya Armyanova, 2024, "Artificial Intelligence Usage In Agriculture," Conference of the Department of Agricultural Economics, at the University of Economics - Varna, Publishing house "Science and Economics" Varna, issue 1, pages 89-98.
• Marian Pompiliu CRISTESCU & Dumitru Alexandru MARA & Lia-Cornelia CULDA & Raluca Andreea NERIȘANU, 2024, "Open Source Tools For Hr Sentiment Analysis," INTERNATIONAL SCIENTIFIC AND PRACTICAL CONFERENCE "HUMAN RESOURCE MANAGEMENT", University of Economics - Varna, issue 1, pages 176-183.
• Žyla Petr, 2024, "Artificial Intelligence in E-commerce: Comparing Outputs from AI Tools," Acta Academica Karviniensia, Paradigm, volume 24, issue 2, pages 103-122, DOI: 10.25142/aak.2024.014.
• Tahani Nabil & Robinson Chris, 2024, "Comprehensive Financial Planning for a Sustainable Retirement†," Financial Planning Research Journal, Paradigm, volume 10, issue 1, pages 1-20, DOI: 10.2478/fprj-2024-0002.
• Hryhorkiv Mariia & Hryhorkiv Vasyl & Buiak Lesia & Pavlovska Anna & Gaidutskyi Ivan & Khoroshun Yuliia, 2024, "Dynamic Model of the Economy in the Conditions of Ecologization of Production and Consumption Processes," Management Theory and Studies for Rural Business and Infrastructure Development, Paradigm, volume 46, issue 4, pages 585-591, DOI: 10.15544/mts.2024.53.
• Vicente Paula C. R., 2024, "Omissions by Design in a Survey: Is This a Good Choice when using Structural Equation Models?," Naše gospodarstvo/Our economy, Paradigm, volume 70, issue 3, pages 83-91, DOI: 10.2478/ngoe-2024-0018.
• Sikandar Ali Qalati (ed.), 2024, "Economic Management and Big Data Application:Proceedings of the 3rd International Conference," World Scientific Books, World Scientific Publishing Co. Pte. Ltd., number 13246, ISBN: ARRAY(0x7ca012c0), March.
• Marco Corazza & René Garcia & Faisal Shah Khan & Davide La Torre & Hatem Masri (ed.), 2024, "Artificial Intelligence and Beyond for Finance," World Scientific Books, World Scientific Publishing Co. Pte. Ltd., number q0449, ISBN: ARRAY(0x7d4d0ff0), March.
• Massimo Guidolin, 2024, "Machine Learning in Portfolio Decisions," World Scientific Book Chapters, World Scientific Publishing Co. Pte. Ltd., chapter 1, in: Marco Corazza & René Garcia & Faisal Shah Khan & Davide La Torre & Hatem Masri, "Artificial Intelligence and Beyond for Finance".
• Manuela Pedio, 2024, "Natural Language Processing and Stock Returns," World Scientific Book Chapters, World Scientific Publishing Co. Pte. Ltd., chapter 2, in: Marco Corazza & René Garcia & Faisal Shah Khan & Davide La Torre & Hatem Masri, "Artificial Intelligence and Beyond for Finance".
• René Garcia & Alissa Marinenko, 2024, "Portfolio Allocation and Reinforcement Learning," World Scientific Book Chapters, World Scientific Publishing Co. Pte. Ltd., chapter 3, in: Marco Corazza & René Garcia & Faisal Shah Khan & Davide La Torre & Hatem Masri, "Artificial Intelligence and Beyond for Finance".
• Silvio Andrae, 2024, "Explainable Artificial Intelligence in Risk Management: A Framework," World Scientific Book Chapters, World Scientific Publishing Co. Pte. Ltd., chapter 4, in: Marco Corazza & René Garcia & Faisal Shah Khan & Davide La Torre & Hatem Masri, "Artificial Intelligence and Beyond for Finance".