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

2024

• 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, Sciendo, 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, Sciendo, 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, Sciendo, 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, Sciendo, volume 70, issue 3, pages 83-91, DOI: 10.2478/ngoe-2024-0018.

2023

• 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 GENÇ, 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 ÇaÄŸlar, 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 Köse, 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.
• Hüseyin Türker, 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 BaÅŸpınar & Ela BAÅžPINAR & Umut AldoÄŸan, 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 Öcal CoÅŸar, 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 GENÇ, 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.
• Kyra Hanemaaijer & Olivier Marie & Marco Musumeci, 2023, "The Fast and The Studious? Ramadan Observance and Student Performance," Tinbergen Institute Discussion Papers, Tinbergen Institute, number 23-023/V, Apr.
• Nalan Basturk & Jamie Cross & Peter de Knijff & Lennart Hoogerheide & Paul Labonne & Herman K van Dijk, 2023, "BayesMultiMode: Bayesian Mode Inference in R," Tinbergen Institute Discussion Papers, Tinbergen Institute, number 23-041/III, Jul.
• Yicong Lin & Mingxuan Song, 2023, "Robust bootstrap inference for linear time-varying coefficient models: Some Monte Carlo evidence," Tinbergen Institute Discussion Papers, Tinbergen Institute, number 23-049/III, Aug.
• Borisenko Georgy, 2023, "Using neural networks to predict the value of stocks based on news data," Working Papers, Moscow State University, Faculty of Economics, number 0055, May.
• Maria Cristina Molinari, 2023, "Much ado about nothing: voting in the sixteenth-century Republic of Genoa," Working Papers, Department of Economics, University of Venice "Ca' Foscari", number 2023:13.
• Vasilev Julian & Sulova Snezhana, 2023, "An Approach for the In-Depth Data Analysis of the Marine Traffic of Independent Nearby Ports," Folia Oeconomica Stetinensia, Sciendo, volume 23, issue 2, pages 402-426, December, DOI: 10.2478/foli-2023-0038.
• Grzywińska-Rąpca Małgorzata & Grzybowska-Brzezińska Mariola & Gornowicz Mirosław, 2023, "Income inequality among European households and their biological type," International Journal of Management and Economics, Warsaw School of Economics, Collegium of World Economy, volume 59, issue 3, pages 197-208, September, DOI: 10.2478/ijme-2023-0005.
• Gere István, 2023, "Mapping the Parameter Space of Simulated Lotteries," Journal of Social and Economic Statistics, Sciendo, volume 12, issue 2, pages 38-52, December, DOI: 10.2478/jses-2023-0008.
• Sovilj Siniša & Tkalec Marina & Pripužić Dominik & Kostanjčar Zvonko, 2023, "Modelling National Economic System: A Case of the Croatian Economy," South East European Journal of Economics and Business, Sciendo, volume 18, issue 1, pages 115-144, June, DOI: 10.2478/jeb-2023-0009.
• Ciocîrlan Cecilia & Zwak-Cantoriu Maria-Cristina & Stancea Andreea & Plăcintă Dimitrie-Daniel, 2023, "European Macroeconomic Dynamics on Financial Markets and Economic Policy: A Cross Country Study for Spillover Effects," Studia Universitatis Babeș-Bolyai Oeconomica, Sciendo, volume 68, issue 3, pages 40-63, December, DOI: 10.2478/subboec-2023-0014.
• Ristanović Vladimir & Primorac Dinko & Mikić Mihaela, 2023, "Application of Multi-Criteria Assessment in Banking Risk Management," Zagreb International Review of Economics and Business, Sciendo, volume 26, issue 1, pages 97-117, DOI: 10.2478/zireb-2023-0005.
• Leo Krippner, 2023, "Estimating and Applying Autoregression Models Via Their Eigensystem Representation," Working Papers in Economics, University of Waikato, number 23/09, Dec.
• Jesús Fernández‐Villaverde & Samuel Hurtado & Galo Nuño, 2023, "Financial Frictions and the Wealth Distribution," Econometrica, Econometric Society, volume 91, issue 3, pages 869-901, May, DOI: 10.3982/ECTA18180.
• Daniel J. Lewis & Davide Melcangi & Laura Pilossoph & Aidan Toner‐Rodgers, 2023, "Approximating grouped fixed effects estimation via fuzzy clustering regression," Journal of Applied Econometrics, John Wiley & Sons, Ltd., volume 38, issue 7, pages 1077-1084, November, DOI: 10.1002/jae.2997.
• Yongyang Cai & Kenneth L. Judd, 2023, "A simple but powerful simulated certainty equivalent approximation method for dynamic stochastic problems," Quantitative Economics, Econometric Society, volume 14, issue 2, pages 651-687, May, DOI: 10.3982/QE1835.
• Artur Sepp & Parviz Rakhmonov, 2023, "Log-Normal Stochastic Volatility Model With Quadratic Drift," International Journal of Theoretical and Applied Finance (IJTAF), World Scientific Publishing Co. Pte. Ltd., volume 26, issue 08, pages 1-63, December, DOI: 10.1142/S0219024924500031.
• Burhan Biner & Turkmen Goksel, 2023, "Frictions And Mismatches In The Labor Market," The Singapore Economic Review (SER), World Scientific Publishing Co. Pte. Ltd., volume 68, issue 03, pages 685-701, June, DOI: 10.1142/S0217590819500504.
• Dobrew, Michael & Gerke, Rafael & Giesen, Sebastian & Röttger, Joost, 2023, "Make-up strategies with incomplete markets and bounded rationality," Discussion Papers, Deutsche Bundesbank, number 01/2023.
• Krane, Spencer David & Melosi, Leonardo & Rottner, Matthias, 2023, "Learning monetary policy strategies at the effective lower bound with sudden surprises," Discussion Papers, Deutsche Bundesbank, number 22/2023.
• Graubner, Marten & Sexton, Richard J., 2023, "More competitive than you think? Pricing and location of processing firms in agricultural markets," EconStor Open Access Articles and Book Chapters, ZBW - Leibniz Information Centre for Economics, volume 105, issue 3, pages 784-808, DOI: 10.1111/ajae.12336.
• Fanti, Lucrezia & Pereira, Marcelo C. & Virgillito, Maria Enrica, 2023, "A North-South agent based model of segmented labour markets. The role of education and trade asymmetries," GLO Discussion Paper Series, Global Labor Organization (GLO), number 1268.
• Meyer-Gohde, Alexander, 2023, "Solving linear DSGE models with Bernoulli iterations," IMFS Working Paper Series, Goethe University Frankfurt, Institute for Monetary and Financial Stability (IMFS), number 182.
• Meyer-Gohde, Alexander, 2023, "Numerical stability analysis of linear DSGE models: Backward errors, forward errors and condition numbers," IMFS Working Paper Series, Goethe University Frankfurt, Institute for Monetary and Financial Stability (IMFS), number 193.
• Huber, Johannes & Meyer-Gohde, Alexander & Saecker, Johanna, 2023, "Solving linear DSGE models with structure-preserving doubling methods," IMFS Working Paper Series, Goethe University Frankfurt, Institute for Monetary and Financial Stability (IMFS), number 195.
• Dobrew, Michael & Gerke, Rafael & Giesen, Sebastian & Röttger, Joost, 2023, "Make-Up Strategies with Incomplete Markets and Bounded Rationality," VfS Annual Conference 2023 (Regensburg): Growth and the "sociale Frage", Verein für Socialpolitik / German Economic Association, number 277697.
• Damba Lkhagvasuren, 2023, "Skewed Binomial Markov Chains," Annals of Economics and Statistics, GENES, issue 150, pages 81-122, DOI: 10.2307/48731470.
• Matthew S. Johnson & David I. Levine & Michael W. Toffel, 2023, "Improving Regulatory Effectiveness through Better Targeting: Evidence from OSHA," American Economic Journal: Applied Economics, American Economic Association, volume 15, issue 4, pages 30-67, October, DOI: 10.1257/app.20200659.
• Bazzana, Davide & Rizzati, Massimiliano & Ciola, Emanuele & Turco, Enrico & Vergalli, Sergio, , "Warming the MATRIX: a Climate Assessment under Uncertainty and Heterogeneity," FEEM Working Papers, Fondazione Eni Enrico Mattei (FEEM), number 334607, DOI: 10.22004/ag.econ.334607.
• Drago, Carlo & Di Nallo, Loris & Russotto, Maria Lucetta, , "Social Sustainability in European Banks: A Machine Learning Approach using Interval- Based Composite Indicators," FEEM Working Papers, Fondazione Eni Enrico Mattei (FEEM), number 336986, DOI: 10.22004/ag.econ.336986.
• Maria Teresa Monteduro & Dalila De Rosa & Chiara Subrizi, 2023, "Did the policy responses to COVID-19 protect Italian households’ incomes? Evidence from incomes nowcasting in microsimulation models," Working Papers, Ministry of Economy and Finance, Department of Finance, number wp2023-16, Jan.
• Chiara Bellucci & Silvia Carta & Sara De Tollis & Federica Di Giacomo & Marco Manzo & Daniela Bucci & Donato Curto & Fabrizio De Grandis & Francesca Sica, 2023, "A Corporate Income Tax Microsimulation Model for Italy," Working Papers, Ministry of Economy and Finance, Department of Finance, number wp2023-17, Feb.
• Wieslaw Dobrowolski, 2023, "Spreadsheet and Word Processor: Selected Issues and Task Guidelines (Arkusz kalkulacyjny i edytor tekstów: Wybrane zagadnienia i wskazówki do zadań)," WORMS Books (WORking papers in Management Science Books), Department of Operations Research and Business Intelligence, Wroclaw University of Science and Technology, number WORMS/B/23/01, January.
• Angelika Abramiuk-Szurlej & Mikolaj Szurlej & Katarzyna Sznajd-Weron, 2023, "Rigorous agent-based modeling is critical: Modeling the diffusion of green products and practices," WORking papers in Management Science (WORMS), Department of Operations Research and Business Intelligence, Wroclaw University of Science and Technology, number WORMS/23/02.
• Mathias Silva, 2023, "Parametric estimation of income distributions using grouped data: an Approximate Bayesian Computation approach," AMSE Working Papers, Aix-Marseille School of Economics, France, number 2310, Apr.
• Salah Salimian & Mahdi Movahedi Beknazar & Sattar Salimian, 2023, "Modeling Tax Declaration Behavior and Quality of Tax Processing: A Game Theory Approach," Journal of Tax Reform, Graduate School of Economics and Management, Ural Federal University, volume 9, issue 1, pages 64-75, DOI: https://doi.org/10.15826/jtr.2023.9.
• Damián Pierri, 2023, "Simulations in Models with Heterogeneous Agents, Incomplete Markets and Aggregate Uncertainty," Working Papers, Red Nacional de Investigadores en Economía (RedNIE), number 259, Jul.
• Fernando Delbianco & Fernando Tohmé, 2023, "What is a relevant control?: An algorithmic proposal," Working Papers, Red Nacional de Investigadores en Economía (RedNIE), number 269, Aug.
• Marian Pompiliu Cristescu & Dumitru Alexandru Mara & Lia-Cornelia Culda & Raluca Andreea NeriÈ™anu, 2023, "Applying Bert and Vader in HR Sentiment Analysis," HR and Technologies, Creative Space Association, issue 2, pages 6-23.
• Damian Clarke & Daniel Paila~nir & Susan Athey & Guido Imbens, 2023, "Synthetic Difference In Differences Estimation," Papers, arXiv.org, number 2301.11859, Jan, revised Feb 2023.
• Jackson Bunting & Takuya Ura, 2023, "Faster estimation of dynamic discrete choice models using index invertibility," Papers, arXiv.org, number 2304.02171, Apr, revised Apr 2025.
• Jes'us Fern'andez-Villaverde & Isaiah Hull, 2023, "Dynamic Programming on a Quantum Annealer: Solving the RBC Model," Papers, arXiv.org, number 2306.04285, Jun.
• Denis Koshelev & Alexey Ponomarenko & Sergei Seleznev, 2023, "Amortized neural networks for agent-based model forecasting," Papers, arXiv.org, number 2308.05753, Aug.
• Christophe Gouel & Qingyin Ma & John Stachurski, 2023, "Interest Rate Dynamics and Commodity Prices," Papers, arXiv.org, number 2308.07577, Aug, revised Sep 2024.
• Dennis Kristensen & Young Jun Lee & Antonio Mele, 2023, "Closed-form approximations of moments and densities of continuous-time Markov models," Papers, arXiv.org, number 2308.09009, Aug.
• Kejin Wu & Sayar Karmakar & Rangan Gupta, 2023, "GARCHX-NoVaS: A Model-free Approach to Incorporate Exogenous Variables," Papers, arXiv.org, number 2308.13346, Aug, revised Sep 2024.
• Matteo Gambara & Giulia Livieri & Andrea Pallavicini, 2023, "Machine-learning regression methods for American-style path-dependent contracts," Papers, arXiv.org, number 2311.16762, Nov, revised Jul 2025.
• Luis Alcala, 2023, "Equilibrium existence in a discrete-time endogenous growth model with physical and human capital," Papers, arXiv.org, number 2401.00342, Dec, revised Feb 2025.
• Franck Ramaharo & Gerzhino Rasolofomanana, 2023, "Nowcasting Madagascar's real GDP using machine learning algorithms," Papers, arXiv.org, number 2401.10255, Dec.
• Todor Krastevich, 2023, "Retargeting Customers Using Uplift Modeling," Economic Studies journal, Bulgarian Academy of Sciences - Economic Research Institute, issue 2, pages 78-99.
• Gabriel Bruneau & Javier Ojea Ferreiro & Andrew Plummer & Marie-Christine Tremblay & Aidan Witts, 2023, "Understanding the Systemic Implications of Climate Transition Risk: Applying a Framework Using Canadian Financial System Data," Discussion Papers, Bank of Canada, number 2023-32, Dec, DOI: 10.34989/sdp-2023-32.
• Nellie Zhang, 2023, "Simulating Intraday Transactions in the Canadian Retail Batch System," Staff Working Papers, Bank of Canada, number 23-1, Jan, DOI: 10.34989/swp-2023-1.
• Rodrigo Barbone Gonzalez & José Renato Haas Ornelas & Thiago Christiano Silva, 2023, "The Value of Clean Water: evidence from an environmental disaster," Working Papers Series, Central Bank of Brazil, Research Department, number 583, Aug.
• Julien Pascal, 2023, "Artificial neural networks to solve dynamic programming problems: A bias-corrected Monte Carlo operator," BCL working papers, Central Bank of Luxembourg, number 172, Mar.
• Deborah Noguera & Gabriel Montes-Rojas, 2023, "Los efectos directos e indirectos de un shock sectorial asimétrico a nivel global: Un análisis dinámico de las relaciones insumo-producto," BCRA Working Paper Series, Central Bank of Argentina, Economic Research Department, number 2023111, Jul.
• Emanuele Dicarlo & Pasquale Recchia & Antonella Tomasi, 2023, "The changes to the Italian tax and welfare system implemented in 2022: fairness and efficiency profiles," Questioni di Economia e Finanza (Occasional Papers), Bank of Italy, Economic Research and International Relations Area, number 748, Mar.
• Giulia Bovini & Emanuele Dicarlo & Antonella Tomasi, 2023, "The revision of anti-poverty measures in Italy," Questioni di Economia e Finanza (Occasional Papers), Bank of Italy, Economic Research and International Relations Area, number 820, Dec.
• Richard Arend, 2023, "Testing Behaviors in the Play of an Expected Prisoner's Dilemma," Journal of Behavioral Economics for Policy, Society for the Advancement of Behavioral Economics (SABE), volume 7, issue 1, pages 25-33, November.
• Ho Thanh & Nguyen Suong & Nguyen Huong & Nguyen Ngoc & Man Dac-Sang & Le Thao-Giang, 2023, "An Extended RFM Model for Customer Behaviour and Demographic Analysis in Retail Industry," Business Systems Research, Sciendo, volume 14, issue 1, pages 26-53, September, DOI: 10.2478/bsrj-2023-0002.
• Tran Thi Huong Thao & Ho Trung Thanh, 2023, "Exploring consumer opinions on vegetarian food by sentiment analysis method," HO CHI MINH CITY OPEN UNIVERSITY JOURNAL OF SCIENCE - ECONOMICS AND BUSINESS ADMINISTRATION, HO CHI MINH CITY OPEN UNIVERSITY JOURNAL OF SCIENCE, HO CHI MINH CITY OPEN UNIVERSITY, volume 13, issue 2, pages 69-84, DOI: 10.46223/HCMCOUJS.econ.en.13.2.2256.
• Elisei Leonov, 2023, "Neural Network-Based Numerical Analysis of the Impact of Pandemic Shocks in Three-Sector DSGE Model," Russian Journal of Money and Finance, Bank of Russia, volume 82, issue 4, pages 80-107, December.
• Denis Koshelev & Alexey Ponomarenko & Sergei Seleznev, 2023, "Amortized Neural Networks for Agent-Based Model Forecasting," Bank of Russia Working Paper Series, Bank of Russia, number wps115, Jul.
• Herbert Dawid & Mariya Mitkova & Anna Zaharieva, 2023, "Optimal promotions of competing firms in a frictional labour market with organizational hierarchies," Journal of Economics & Management Strategy, Wiley Blackwell, volume 32, issue 1, pages 100-131, January, DOI: 10.1111/jems.12502.
• Ollech Daniel & Webel Karsten, 2023, "A Random Forest-based Approach to Combining and Ranking Seasonality Tests," Journal of Econometric Methods, De Gruyter, volume 12, issue 1, pages 117-130, January, DOI: 10.1515/jem-2020-0020.
• Živkov Dejan & Kovačević Jelena & Stankov Biljana & Stefanović Zoran, 2023, "Bidirectional volatility transmission between stocks and bond in East Asia – The quantile estimates based on wavelets," Studies in Nonlinear Dynamics & Econometrics, De Gruyter, volume 27, issue 1, pages 49-65, February, DOI: 10.1515/snde-2020-0113.
• Guglielmo Maria Caporale & Alex Plastun, 2023, "Seven Pitfalls of Technical Analysis," CESifo Working Paper Series, CESifo, number 10213.
• Jesús Fernández-Villaverde & Isaiah Hull, 2023, "Dynamic Programming on a Quantum Annealer: Solving the RBC Model," CESifo Working Paper Series, CESifo, number 10500.
• Ji Huang, 2023, "A Probabilistic Solution to High-Dimensional Continuous-Time Macro and Finance Models," CESifo Working Paper Series, CESifo, number 10600.
• Martin Hoesli & Louis Johner & Jon Lekander, 2023, "The Role of Multi-Family Properties in Hedging Pension Liability Risk: Long-Run Evidence," Swiss Finance Institute Research Paper Series, Swiss Finance Institute, number 23-08, Feb.
• Luca Gaegauf & Simon Scheidegger & Fabio Trojani, 2023, "A Comprehensive Machine Learning Framework for Dynamic Portfolio Choice With Transaction Costs," Swiss Finance Institute Research Paper Series, Swiss Finance Institute, number 23-114, Nov.
• Lorenzo Bretscher & Jesús Fernández-Villaverde & Simon Scheidegger, 2023, "Ricardian Business Cycles," Swiss Finance Institute Research Paper Series, Swiss Finance Institute, number 23-43, Jan.