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Alessio Moneta

Citations

Many of the citations below have been collected in an experimental project, CitEc, where a more detailed citation analysis can be found. These are citations from works listed in RePEc that could be analyzed mechanically. So far, only a minority of all works could be analyzed. See under "Corrections" how you can help improve the citation analysis.

Blog mentions

As found by EconAcademics.org, the blog aggregator for Economics research:
  1. Stephan B. Bruns & Alessio Moneta & David I. Stern, 2019. "Estimating the Economy-Wide Rebound Effect Using Empirically Identified Structural Vector Autoregressions," LEM Papers Series 2019/27, Laboratory of Economics and Management (LEM), Sant'Anna School of Advanced Studies, Pisa, Italy.

    Mentioned in:

    1. Annual Review 2019
      by noreply@blogger.com (David Stern) in Stochastic Trend on 2019-12-25 00:24:00
    2. How Large is the Economy-Wide Rebound Effect in Middle Income Countries? Evidence from Iran
      by noreply@blogger.com (David Stern) in Stochastic Trend on 2021-10-12 01:19:00
    3. Annual Review 2021
      by noreply@blogger.com (David Stern) in Stochastic Trend on 2021-12-30 06:11:00
  2. Stephan B. Bruns & Alessio Moneta & David I. Stern, 2019. "Macroeconomic time-series evidence that energy efficiency improvements do not save energy," CAMA Working Papers 2019-21, Centre for Applied Macroeconomic Analysis, Crawford School of Public Policy, The Australian National University.

    Mentioned in:

    1. Energy Efficiency Improvements Do Not Save Energy
      by noreply@blogger.com (David Stern) in Stochastic Trend on 2019-02-19 00:58:00
  3. Anne Berner & Stephan Bruns & Alessio Moneta & David I. Stern, 2021. "Do Energy Efficiency Improvements Reduce Energy Use? Empirical Evidence on the Economy-Wide Rebound Effect in Europe and the United States," LEM Papers Series 2021/20, Laboratory of Economics and Management (LEM), Sant'Anna School of Advanced Studies, Pisa, Italy.

    Mentioned in:

    1. Do Energy Efficiency Improvements Reduce Energy Use? Empirical Evidence on the Economy-Wide Rebound Effect in Europe and the United States
      by noreply@blogger.com (David Stern) in Stochastic Trend on 2021-06-03 04:36:00
    2. Annual Review 2021
      by noreply@blogger.com (David Stern) in Stochastic Trend on 2021-12-30 06:11:00
  4. Bruns, Stephan B. & Moneta, Alessio & Stern, David I., 2021. "Estimating the economy-wide rebound effect using empirically identified structural vector autoregressions," Energy Economics, Elsevier, vol. 97(C).

    Mentioned in:

    1. Annual Review 2019
      by noreply@blogger.com (David Stern) in Stochastic Trend on 2019-12-25 00:24:00
    2. How Large is the Economy-Wide Rebound Effect in Middle Income Countries? Evidence from Iran
      by noreply@blogger.com (David Stern) in Stochastic Trend on 2021-10-12 01:19:00
    3. Annual Review 2021
      by noreply@blogger.com (David Stern) in Stochastic Trend on 2021-12-30 06:11:00

Working papers

  1. Mario Martinoli & Alessio Moneta & Gianluca Pallante, 2022. "Calibration and Validation of Macroeconomic Simulation Models by Statistical Causal Search," LEM Papers Series 2022/33, Laboratory of Economics and Management (LEM), Sant'Anna School of Advanced Studies, Pisa, Italy.

    Cited by:

    1. Kukacka, Jiri & Sacht, Stephen, 2021. "Estimation of Heuristic Switching in Behavioral Macroeconomic Models," Economics Working Papers 2021-01, Christian-Albrechts-University of Kiel, Department of Economics.

  2. Andreas Chai & Elena Stepanova & Alessio Moneta, 2022. "Quantifying Expenditure Hierarchies and the Expansion of Global Consumption Diversity," LEM Papers Series 2022/29, Laboratory of Economics and Management (LEM), Sant'Anna School of Advanced Studies, Pisa, Italy.

    Cited by:

    1. Yangyang Li & Jianing Sun & Juan Chen & Jinlei Li & Li Sun & Kewang Cao, 2024. "How to Promote the Development of Cultural and Creative Industries from an Evolutionary Game Perspective: Policy Mechanisms for Certification + Incentives," Sustainability, MDPI, vol. 16(11), pages 1-38, May.

  3. Anne Berner & Stephan Bruns & Alessio Moneta & David I. Stern, 2021. "Do Energy Efficiency Improvements Reduce Energy Use? Empirical Evidence on the Economy-Wide Rebound Effect in Europe and the United States," LEM Papers Series 2021/20, Laboratory of Economics and Management (LEM), Sant'Anna School of Advanced Studies, Pisa, Italy.

    Cited by:

    1. Liu, Yunqiang & Ye, Deping & Liu, Sha & Wang, Fang & Zeng, Hui & Tang, Hong, 2024. "Whether the agricultural energy rebound offsets the governance effectiveness of the China's natural resource audit policy?," Renewable and Sustainable Energy Reviews, Elsevier, vol. 189(PA).
    2. Moneta, Alessio & Pallante, Gianluca, 2022. "Identification of Structural VAR Models via Independent Component Analysis: A Performance Evaluation Study," Journal of Economic Dynamics and Control, Elsevier, vol. 144(C).
    3. Massié, Camille & Belaïd, Fateh, 2024. "Estimating the direct rebound effect for residential electricity use in seventeen European countries: Short and long-run perspectives," Energy Economics, Elsevier, vol. 134(C).
    4. Bin Xu, 2022. "How to Efficiently Reduce the Carbon Intensity of the Heavy Industry in China? Using Quantile Regression Approach," IJERPH, MDPI, vol. 19(19), pages 1-24, October.
    5. Du, Kerui & Liu, Xueyue & Zhao, Cheng, 2023. "Environmental regulation mitigates energy rebound effect," Energy Economics, Elsevier, vol. 125(C).
    6. Jafari, Mahboubeh & Stern, David I. & Bruns, Stephan B., 2022. "How large is the economy-wide rebound effect in middle income countries? Evidence from Iran," Ecological Economics, Elsevier, vol. 193(C).
    7. Wang, Yongpei & Yan, Qing, 2023. "Is cleaner more efficient? Exploring nonlinear impacts of renewable energy deployment on regional total factor energy efficiency," Renewable Energy, Elsevier, vol. 216(C).
    8. Nieto, Jaime & Brockway, Paul E. & Sakai, Marco & Barrett, John, 2024. "Assessing the energy and socio-macroeconomic impacts of the EV transition: A UK case study 2020–2050," Applied Energy, Elsevier, vol. 370(C).

  4. Alessio Moneta & Gianluca Pallante, 2020. "Identification of Structural VAR Models via Independent Component Analysis: A Performance Evaluation Study," LEM Papers Series 2020/24, Laboratory of Economics and Management (LEM), Sant'Anna School of Advanced Studies, Pisa, Italy.

    Cited by:

    1. Mario Martinoli & Alessio Moneta & Gianluca Pallante, 2022. "Calibration and Validation of Macroeconomic Simulation Models by Statistical Causal Search," LEM Papers Series 2022/33, Laboratory of Economics and Management (LEM), Sant'Anna School of Advanced Studies, Pisa, Italy.
    2. Dante Amengual & Gabriele Fiorentini & Enrique Sentana, 2022. "Specification tests for non-Gaussian structural vector autoregressions," Working Papers wp2022_2212, CEMFI.
    3. Adam Lee & Geert Mesters, 2021. "Locally Robust Inference for Non-Gaussian Linear Simultaneous Equations Models," Working Papers 1278, Barcelona School of Economics.
    4. Sebastiano Michele Zema & Francesco Cordoni, 2023. "A non-Normal framework for price discovery: The independent component based information shares measure," LEM Papers Series 2023/03, Laboratory of Economics and Management (LEM), Sant'Anna School of Advanced Studies, Pisa, Italy.
    5. Berner, Anne & Bruns, Stephan B. & Moneta, Alessio & Stern, David I., 2021. "Do energy efficiency improvements reduce energy use? Empirical evidence on the economy-wide rebound effect in Europe and the United States," University of Göttingen Working Papers in Economics 422, University of Goettingen, Department of Economics.
    6. Dante Amengual & Gabriele Fiorentini & Enrique Sentana, 2022. "Moment tests of independent components," SERIEs: Journal of the Spanish Economic Association, Springer;Spanish Economic Association, vol. 13(1), pages 429-474, May.
    7. Karamysheva, Madina & Skrobotov, Anton, 2022. "Do we reject restrictions identifying fiscal shocks? identification based on non-Gaussian innovations," Journal of Economic Dynamics and Control, Elsevier, vol. 138(C).
    8. Sebastiano Michele Zema, 2020. "Directed Acyclic Graph based Information Shares for Price Discovery," LEM Papers Series 2020/28, Laboratory of Economics and Management (LEM), Sant'Anna School of Advanced Studies, Pisa, Italy.

  5. Tommaso Ciarli & Alex Coad & Alessio Moneta, 2019. "Exporting and productivity as part of the growth process: Causal evidence from a data-driven structural VAR," LEM Papers Series 2019/39, Laboratory of Economics and Management (LEM), Sant'Anna School of Advanced Studies, Pisa, Italy.

    Cited by:

    1. Maja Bašiæ & Mile Bošnjak & Ivan Novak, 2023. "Productivity shocks and industry specific effects on export and internationalisation: VAR approach," Zbornik radova Ekonomskog fakulteta u Rijeci/Proceedings of Rijeka Faculty of Economics, University of Rijeka, Faculty of Economics and Business, vol. 41(1), pages 113-156.
    2. Moneta, Alessio & Pallante, Gianluca, 2022. "Identification of Structural VAR Models via Independent Component Analysis: A Performance Evaluation Study," Journal of Economic Dynamics and Control, Elsevier, vol. 144(C).
    3. Xiaojie Xu & Yun Zhang, 2022. "Contemporaneous causality among one hundred Chinese cities," Empirical Economics, Springer, vol. 63(4), pages 2315-2329, October.

  6. Stephan B. Bruns & Alessio Moneta & David I. Stern, 2019. "Macroeconomic time-series evidence that energy efficiency improvements do not save energy," CAMA Working Papers 2019-21, Centre for Applied Macroeconomic Analysis, Crawford School of Public Policy, The Australian National University.

    Cited by:

    1. Bin Xu, 2022. "How to Efficiently Reduce the Carbon Intensity of the Heavy Industry in China? Using Quantile Regression Approach," IJERPH, MDPI, vol. 19(19), pages 1-24, October.
    2. Brockway, Paul E. & Sorrell, Steve & Semieniuk, Gregor & Heun, Matthew Kuperus & Court, Victor, 2021. "Energy efficiency and economy-wide rebound effects: A review of the evidence and its implications," Renewable and Sustainable Energy Reviews, Elsevier, vol. 141(C).

  7. Stephan B. Bruns & Alessio Moneta & David I. Stern, 2019. "Estimating the Economy-Wide Rebound Effect Using Empirically Identified Structural Vector Autoregressions," LEM Papers Series 2019/27, Laboratory of Economics and Management (LEM), Sant'Anna School of Advanced Studies, Pisa, Italy.

    Cited by:

    1. Moneta, Alessio & Pallante, Gianluca, 2022. "Identification of Structural VAR Models via Independent Component Analysis: A Performance Evaluation Study," Journal of Economic Dynamics and Control, Elsevier, vol. 144(C).
    2. Saunders, Harry D. & Roy, Joyashree & Azevedo, Inês M.L. & Chakravarty, Debalina & Dasgupta, Shyamasree & De La Rue Du Can, Stephane & Druckman, Angela & Fouquet, Roger & Grubb, Michael & Lin, Boqiang, 2021. "Energy efficiency: what has research delivered in the last 40 years?," LSE Research Online Documents on Economics 114344, London School of Economics and Political Science, LSE Library.
    3. Johnson, Elliott & Betts-Davies, Sam & Barrett, John, 2023. "Comparative analysis of UK net-zero scenarios: The role of energy demand reduction," Energy Policy, Elsevier, vol. 179(C).
    4. Caterina Giannetti & Pietro Guarnieri & Tommaso Luzzati, 2021. "Pro-environmental attitude and behaviours: an investigation on the role of pro-sociality," Discussion Papers 2021/269, Dipartimento di Economia e Management (DEM), University of Pisa, Pisa, Italy.
    5. Jafari, Mahboubeh & Stern, David I. & Bruns, Stephan B., 2022. "How large is the economy-wide rebound effect in middle income countries? Evidence from Iran," Ecological Economics, Elsevier, vol. 193(C).
    6. Genc, Talat S., 2024. "Energy Transition and the role of new natural gas turbines for power production: The case of GT11N2 M generators," Energy Economics, Elsevier, vol. 131(C).
    7. Soojin Jo & Lilia Karnizova, 2021. "Energy Efficiency and Fluctuations in CO2 Emissions," Working Papers 2107E, University of Ottawa, Department of Economics.
    8. Cansino, José M. & Ordóñez, Manuel & Prieto, Manuela, 2022. "Decomposition and measurement of the rebound effect: The case of energy efficiency improvements in Spain," Applied Energy, Elsevier, vol. 306(PA).
    9. Berner, Anne & Bruns, Stephan B. & Moneta, Alessio & Stern, David I., 2021. "Do energy efficiency improvements reduce energy use? Empirical evidence on the economy-wide rebound effect in Europe and the United States," University of Göttingen Working Papers in Economics 422, University of Goettingen, Department of Economics.
    10. Stern, David I., 2020. "How large is the economy-wide rebound effect?," Energy Policy, Elsevier, vol. 147(C).
    11. Peng, Hua-Rong & Zhang, Yue-Jun & Liu, Jing-Yue, 2023. "The energy rebound effect of digital development: Evidence from 285 cities in China," Energy, Elsevier, vol. 270(C).
    12. Ahmann, Lara & Banning, Maximilian & Lutz, Christian, 2022. "Modeling rebound effects and counteracting policies for German industries," Ecological Economics, Elsevier, vol. 197(C).

  8. Giorgio Fagiolo & Mattia Guerini & Francesco Lamperti & Alessio Moneta & Andrea Roventini, 2019. "Validation of Agent-Based Models in Economics and Finance," Post-Print halshs-02375423, HAL.

    Cited by:

    1. Giovanni Dosi & Marcelo Pereira & Andrea Roventini & Maria Enrica Virgillito, 2018. "What if supply-side policies are not enough ? The perverse interaction of flexibility and austerity," SciencePo Working papers Main hal-03458460, HAL.
    2. Giovanni Dosi & Francesco Lamperti & Mariana Mazzucato & Mauro Napoletano & Andrea Roventini, 2021. "Mission-Oriented Policies and the "Entrepreneurial State" at Work: An Agent-Based Exploration," GREDEG Working Papers 2021-25, Groupe de REcherche en Droit, Economie, Gestion (GREDEG CNRS), Université Côte d'Azur, France.
    3. Giorgio Ffagiolo & Daniele Giachini & Andrea Roventini, 2017. "Innovation, Finance, and Economic Growth : an agent based approach," Documents de Travail de l'OFCE 2017-28, Observatoire Francais des Conjonctures Economiques (OFCE).
    4. Francesco Lamperti & Valentina Bosetti & Andrea Roventini & Massimo Tavoni & Tania Treibich, 2021. "Three green financial policies to address climate risks," Post-Print hal-04103920, HAL.
    5. Seri, Raffaello & Martinoli, Mario & Secchi, Davide & Centorrino, Samuele, 2021. "Model calibration and validation via confidence sets," Econometrics and Statistics, Elsevier, vol. 20(C), pages 62-86.
    6. Elisa Palagi & Mauro Napoletano & Andrea Roventini & Jean-Luc Gaffard, 2021. "An agent-based model of trickle-up growth and income inequality," Working Papers hal-03373193, HAL.
    7. Francesco Lamperti & Andrea Roventini & Amir Sani, 2017. "Agent-Based Model Calibration using Machine Learning Surrogates," Papers 1703.10639, arXiv.org, revised Apr 2017.
    8. Francesco Lamperti & Giovanni Dosi & Mauro Napoletano & Andrea Roventini & Alessandro Sapio, 2018. "And then he wasn't a she : Climate change and green transitions in an agent-based integrated assessment model," SciencePo Working papers Main hal-03443464, HAL.
    9. Dosi, Giovanni & Palagi, Elisa & Roventini, Andrea & Russo, Emanuele, 2023. "Do patents really foster innovation in the pharmaceutical sector? Results from an evolutionary, agent-based model," Journal of Economic Behavior & Organization, Elsevier, vol. 212(C), pages 564-589.
    10. Giovanni Dosi & Richard B. Freeman & Marcelo C. Pereira & Andrea Roventini & Maria Enrica Virgillito, 2020. "The Impact of Deunionization on the Growth and Dispersion of Productivity and Pay," Documents de Travail de l'OFCE 2020-05, Observatoire Francais des Conjonctures Economiques (OFCE).
    11. Farmer, J. Doyne & Heinrich, Torsten & Sabuco, Juan, 2019. "A simulation of the insurance industry: The problem of risk model homogeneity," INET Oxford Working Papers 2019-12, Institute for New Economic Thinking at the Oxford Martin School, University of Oxford.
    12. Priscilla Avegliano & Jaime Simão Sichman, 2023. "Equation-Based Versus Agent-Based Models: Why Not Embrace Both for an Efficient Parameter Calibration?," Journal of Artificial Societies and Social Simulation, Journal of Artificial Societies and Social Simulation, vol. 26(4), pages 1-3.
    13. Mario Martinoli & Alessio Moneta & Gianluca Pallante, 2022. "Calibration and Validation of Macroeconomic Simulation Models by Statistical Causal Search," LEM Papers Series 2022/33, Laboratory of Economics and Management (LEM), Sant'Anna School of Advanced Studies, Pisa, Italy.
    14. Mauro Napoletano, 2018. "A Short Walk on the Wild Side: Agent-Based Models and their Implications for Macroeconomic Analysis," Revue de l'OFCE, Presses de Sciences-Po, vol. 0(3), pages 257-281.
    15. Papadopoulos, Georgios, 2019. "Income inequality, consumption, credit and credit risk in a data-driven agent-based model," Journal of Economic Dynamics and Control, Elsevier, vol. 104(C), pages 39-73.
    16. Flavio Calvino & Daniele Giachini & Mattia Guerini, 2022. "The age distribution of business firms," Journal of Evolutionary Economics, Springer, vol. 32(1), pages 205-245, January.
    17. Kukacka, Jiri & Kristoufek, Ladislav, 2021. "Does parameterization affect the complexity of agent-based models?," Journal of Economic Behavior & Organization, Elsevier, vol. 192(C), pages 324-356.
    18. Gourdel, Régis & Monasterolo, Irene & Dunz, Nepomuk & Mazzocchetti, Andrea & Parisi, Laura, 2022. "The double materiality of climate physical and transition risks in the euro area," Working Paper Series 2665, European Central Bank.
    19. Giovanni Dosi & Andrea Roventini, 2019. "La solitudine dell'agente rappresentativo: eterogeneità e interazione per una nuova macroeconomia (The solitude of the representative agant: Heterogeneity and interaction for a new macroeconomics)," Moneta e Credito, Economia civile, vol. 72(287), pages 249-258.
    20. Vandin, Andrea & Giachini, Daniele & Lamperti, Francesco & Chiaromonte, Francesca, 2022. "Automated and distributed statistical analysis of economic agent-based models," Journal of Economic Dynamics and Control, Elsevier, vol. 143(C).
    21. Guus ten Broeke & Hilde Tobi, 2021. "Mapping validity and validation in modelling for interdisciplinary research," Quality & Quantity: International Journal of Methodology, Springer, vol. 55(5), pages 1613-1630, October.
    22. Jascha-Alexander Koch & Jens Lausen & Moritz Kohlhase, 2021. "Internalizing the externalities of overfunding: an agent-based model approach for analyzing the market dynamics on crowdfunding platforms," Journal of Business Economics, Springer, vol. 91(9), pages 1387-1430, November.
    23. Kukacka, Jiri & Kristoufek, Ladislav, 2020. "Do ‘complex’ financial models really lead to complex dynamics? Agent-based models and multifractality," Journal of Economic Dynamics and Control, Elsevier, vol. 113(C).
    24. Giovanni Dosi & Andrea Roventini, 2019. "More is Different ... and Complex! The Case for Agent-Based Macroeconomics," LEM Papers Series 2019/01, Laboratory of Economics and Management (LEM), Sant'Anna School of Advanced Studies, Pisa, Italy.
    25. Fierro, Luca Eduardo & Caiani, Alessandro & Russo, Alberto, 2022. "Automation, Job Polarisation, and Structural Change," Journal of Economic Behavior & Organization, Elsevier, vol. 200(C), pages 499-535.
    26. Lamperti, F. & Dosi, G. & Napoletano, M. & Roventini, A. & Sapio, A., 2018. "Faraway, So Close: Coupled Climate and Economic Dynamics in an Agent-based Integrated Assessment Model," Ecological Economics, Elsevier, vol. 150(C), pages 315-339.
    27. Alessandro Taberna & Tatiana Filatova & Andrea Roventini & Francesco Lamperti, 2021. "Coping with increasing tides: technological change, agglomeration dynamics and climate hazards in an agent-based evolutionary model," LEM Papers Series 2021/44, Laboratory of Economics and Management (LEM), Sant'Anna School of Advanced Studies, Pisa, Italy.
    28. Giovanni Dosi & Andrea Roventini, 2017. "Agent-Based Macroeconomics and Classical Political Economy: Some Italian Roots," SciencePo Working papers Main hal-03399668, HAL.
    29. Platt, Donovan, 2020. "A comparison of economic agent-based model calibration methods," Journal of Economic Dynamics and Control, Elsevier, vol. 113(C).
    30. Sylvain Barde, 2019. "Macroeconomic simulation comparison with a multivariate extension of the Markov Information Criterion," Studies in Economics 1908, School of Economics, University of Kent.
    31. G. Dosi & F. Lamperti & Mauro Napoletano & A. Roventini & A. Sapio, 2020. "Climate change and green transitions in an agent-based integrated assessment model," SciencePo Working papers Main halshs-03046932, HAL.
    32. Lilit Popoyan & Mauro Napoletano & Andrea Roventini, 2019. "Winter is possibly not coming: mitigating financial instability in an agent-based model with interbank market," SciencePo Working papers Main hal-03403274, HAL.
    33. Jan Schulz & Daniel M. Mayerhoffer, 2021. "Equal chances, unequal outcomes? Network-based evolutionary learning and the industrial dynamics of superstar firms," Journal of Business Economics, Springer, vol. 91(9), pages 1357-1385, November.
    34. Andrea Vandin & Daniele Giachini & Francesco Lamperti & Francesca Chiaromonte, 2021. "Automated and Distributed Statistical Analysis of Economic Agent-Based Models," Papers 2102.05405, arXiv.org, revised Nov 2023.
    35. Giorgio Fagiolo & Daniele Giachini & Andrea Roventini, 2017. "Innovation, Finance, and Economic Growth : an agent-based model," SciencePo Working papers Main hal-03455400, HAL.
    36. Dyer, Joel & Cannon, Patrick & Farmer, J. Doyne & Schmon, Sebastian M., 2024. "Black-box Bayesian inference for agent-based models," Journal of Economic Dynamics and Control, Elsevier, vol. 161(C).
    37. Alperen Bektas & Valentino Piana & René Schumann, 2021. "A meso-level empirical validation approach for agent-based computational economic models drawing on micro-data: a use case with a mobility mode-choice model," SN Business & Economics, Springer, vol. 1(6), pages 1-25, June.
    38. James Paulin & Anisoara Calinescu & Michael Wooldridge, 2018. "Understanding Flash Crash Contagion and Systemic Risk: A Micro-Macro Agent-Based Approach," Papers 1805.08454, arXiv.org.
    39. 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 2023/17, Laboratory of Economics and Management (LEM), Sant'Anna School of Advanced Studies, Pisa, Italy.
    40. Zila, Eric & Kukacka, Jiri, 2023. "Moment set selection for the SMM using simple machine learning," Journal of Economic Behavior & Organization, Elsevier, vol. 212(C), pages 366-391.
    41. Dosi, Giovanni & Roventini, Andrea & Russo, Emanuele, 2019. "Endogenous growth and global divergence in a multi-country agent-based model," Journal of Economic Dynamics and Control, Elsevier, vol. 101(C), pages 101-129.
    42. Carro, Adrian, 2023. "Taming the housing roller coaster: The impact of macroprudential policy on the house price cycle," Journal of Economic Dynamics and Control, Elsevier, vol. 156(C).
    43. Donovan Platt, 2022. "Bayesian Estimation of Economic Simulation Models Using Neural Networks," Computational Economics, Springer;Society for Computational Economics, vol. 59(2), pages 599-650, February.
    44. Emanuele Ciola & Edoardo Gaffeo & Mauro Gallegati, 2021. "Search for Profits and Business Fluctuations: How Banks' Behaviour Explain Cycles?," Working Papers 450, Universita' Politecnica delle Marche (I), Dipartimento di Scienze Economiche e Sociali.
    45. Lucrezia Fanti, 2021. "‘Kaldor Facts’ and the decline of Wage Share: An agent based-stock flow consistent model of induced technical change along Classical and Keynesian lines," Journal of Evolutionary Economics, Springer, vol. 31(2), pages 379-415, April.
    46. Schmitt, Noemi & Schwartz, Ivonne & Westerhoff, Frank H., 2020. "Heterogeneous speculators and stock market dynamics: A simple agent-based computational model," BERG Working Paper Series 160, Bamberg University, Bamberg Economic Research Group.
    47. Barde, Sylvain, 2024. "Bayesian estimation of large-scale simulation models with Gaussian process regression surrogates," Computational Statistics & Data Analysis, Elsevier, vol. 196(C).
    48. Schulz, Jan & Mayerhoffer, Daniel M., 2021. "A network approach to consumption," BERG Working Paper Series 173, Bamberg University, Bamberg Economic Research Group.
    49. Gianluca Capone & Franco Malerba & Richard R. Nelson & Luigi Orsenigo & Sidney G. Winter, 2019. "History friendly models: retrospective and future perspectives," Eurasian Business Review, Springer;Eurasia Business and Economics Society, vol. 9(1), pages 1-23, March.
    50. Matteo Coronese & Martina Occelli & Francesco Lamperti & Andrea Roventini, 2021. "AgriLOVE: agriculture, land-use and technical change in an evolutionary, agent-based model," LEM Papers Series 2021/35, Laboratory of Economics and Management (LEM), Sant'Anna School of Advanced Studies, Pisa, Italy.
    51. Mauro Napoletano & Eric Guerci & Nobuyuki Hanaki, 2018. "Recent advances in financial networks and agent-based model validation," Post-Print hal-02299235, HAL.
    52. Dosi, G. & Pereira, M.C. & Roventini, A. & Virgillito, M.E., 2022. "Technological paradigms, labour creation and destruction in a multi-sector agent-based model," Research Policy, Elsevier, vol. 51(10).
    53. Kukacka, Jiri & Sacht, Stephen, 2021. "Estimation of Heuristic Switching in Behavioral Macroeconomic Models," Economics Working Papers 2021-01, Christian-Albrechts-University of Kiel, Department of Economics.
    54. Donovan Platt, 2019. "A Comparison of Economic Agent-Based Model Calibration Methods," Papers 1902.05938, arXiv.org.
    55. Platt, Donovan & Gebbie, Tim, 2018. "Can agent-based models probe market microstructure?," Physica A: Statistical Mechanics and its Applications, Elsevier, vol. 503(C), pages 1092-1106.
    56. Gene Yu & Ce Guo & Wayne Luk, 2024. "Robust Time Series Causal Discovery for Agent-Based Model Validation," Papers 2410.19412, arXiv.org.
    57. Siyan Chen & Saul Desiderio, 2022. "A Regression-Based Calibration Method for Agent-Based Models," Computational Economics, Springer;Society for Computational Economics, vol. 59(2), pages 687-700, February.
    58. Ramshani, Mohammad & Li, Xueping & Khojandi, Anahita & Omitaomu, Olufemi, 2020. "An agent-based approach to study the diffusion rate and the effect of policies on joint placement of photovoltaic panels and green roof under climate change uncertainty," Applied Energy, Elsevier, vol. 261(C).
    59. Taberna, Alessandro & Filatova, Tatiana & Roventini, Andrea & Lamperti, Francesco, 2022. "Coping with increasing tides: Evolving agglomeration dynamics and technological change under exacerbating hazards," Ecological Economics, Elsevier, vol. 202(C).
    60. Mérő, Bence & Borsos, András & Hosszú, Zsuzsanna & Oláh, Zsolt & Vágó, Nikolett, 2023. "A high-resolution, data-driven agent-based model of the housing market," Journal of Economic Dynamics and Control, Elsevier, vol. 155(C).
    61. Francesco Lamperti, 2018. "Empirical validation of simulated models through the GSL-div: an illustrative application," Journal of Economic Interaction and Coordination, Springer;Society for Economic Science with Heterogeneous Interacting Agents, vol. 13(1), pages 143-171, April.
    62. Hötte, Kerstin, 2020. "How to accelerate green technology diffusion? Directed technological change in the presence of coevolving absorptive capacity," Energy Economics, Elsevier, vol. 85(C).
    63. Ron Wallace, 2021. "Configuring Hayek versus Keynes: Decentralisation, regulation, and computational discovery procedures," Economic Affairs, Wiley Blackwell, vol. 41(3), pages 465-471, October.
    64. Paulin, James & Calinescu, Anisoara & Wooldridge, Michael, 2019. "Understanding flash crash contagion and systemic risk: A micro–macro agent-based approach," Journal of Economic Dynamics and Control, Elsevier, vol. 100(C), pages 200-229.
    65. Ciola, Emanuele & Gaffeo, Edoardo & Gallegati, Mauro, 2022. "Search for profits and business fluctuations: How does banks’ behaviour explain cycles?," Journal of Economic Dynamics and Control, Elsevier, vol. 135(C).
    66. Kathrin Eismann, 2021. "Diffusion and persistence of false rumors in social media networks: implications of searchability on rumor self-correction on Twitter," Journal of Business Economics, Springer, vol. 91(9), pages 1299-1329, November.
    67. Váry, Miklós, 2021. "The long-run real effects of monetary shocks: Lessons from a hybrid post-Keynesian-DSGE-agent-based menu cost model," Economic Modelling, Elsevier, vol. 105(C).

  9. Mattia Guerini & Alessio Moneta & Mauro Napoletano & Andrea Roventini, 2017. "The Janus-faced nature of debt : results form a data driven cointegrated SVAR approach," SciencePo Working papers Main hal-03457555, HAL.

    Cited by:

    1. Giovanni Dosi & Marcelo Pereira & Andrea Roventini & Maria Enrica Virgillito, 2018. "What if supply-side policies are not enough ? The perverse interaction of flexibility and austerity," SciencePo Working papers Main hal-03458460, HAL.
    2. Marta Gómez-Puig & Simón Sosvilla-Rivero, 2017. "Nonfinancial debt and economic growth in euro-area countries," Working Papers del Instituto Complutense de Estudios Internacionales 1708, Universidad Complutense de Madrid, Instituto Complutense de Estudios Internacionales.
    3. Moneta, Alessio & Pallante, Gianluca, 2022. "Identification of Structural VAR Models via Independent Component Analysis: A Performance Evaluation Study," Journal of Economic Dynamics and Control, Elsevier, vol. 144(C).
    4. Helder Ferreira de Mendonça & Ytallo Brito, 2021. "The link between public debt and investment: an empirical assessment from emerging markets," Applied Economics, Taylor & Francis Journals, vol. 53(50), pages 5864-5876, October.
    5. Pedrosa, Ítalo & Brochier, Lídia & Freitas, Fabio, 2023. "Debt hierarchy: Autonomous demand composition, growth and indebtedness in a Supermultiplier model," Economic Modelling, Elsevier, vol. 126(C).
    6. Janda, Karel & Kravtsov, Oleg, 2017. "Time-varying Effects of Public Debt on the Financial and Banking Development in the Central and Eastern Europe," MPRA Paper 77325, University Library of Munich, Germany.

  10. Mattia Guerini & Alessio Moneta & Mauro Napoletano & Andrea Roventini, 2017. "The Janus-faced nature of debt : results form a data driven cointegrated SVAR approach," SciencePo Working papers Main hal-03457555, HAL.

    Cited by:

    1. Giovanni Dosi & Marcelo Pereira & Andrea Roventini & Maria Enrica Virgillito, 2018. "What if supply-side policies are not enough ? The perverse interaction of flexibility and austerity," SciencePo Working papers Main hal-03458460, HAL.
    2. Marta Gómez-Puig & Simón Sosvilla-Rivero, 2017. "Nonfinancial debt and economic growth in euro-area countries," Working Papers del Instituto Complutense de Estudios Internacionales 1708, Universidad Complutense de Madrid, Instituto Complutense de Estudios Internacionales.
    3. Moneta, Alessio & Pallante, Gianluca, 2022. "Identification of Structural VAR Models via Independent Component Analysis: A Performance Evaluation Study," Journal of Economic Dynamics and Control, Elsevier, vol. 144(C).
    4. Helder Ferreira de Mendonça & Ytallo Brito, 2021. "The link between public debt and investment: an empirical assessment from emerging markets," Applied Economics, Taylor & Francis Journals, vol. 53(50), pages 5864-5876, October.
    5. Pedrosa, Ítalo & Brochier, Lídia & Freitas, Fabio, 2023. "Debt hierarchy: Autonomous demand composition, growth and indebtedness in a Supermultiplier model," Economic Modelling, Elsevier, vol. 126(C).
    6. Janda, Karel & Kravtsov, Oleg, 2017. "Time-varying Effects of Public Debt on the Financial and Banking Development in the Central and Eastern Europe," MPRA Paper 77325, University Library of Munich, Germany.

  11. Giovanni Dosi & Alessio Moneta & Elena Stepanova, 2017. "Dynamic Increasing Returns and Innovation Diffusion: bringing Polya Urn processes to the empirical data," LEM Papers Series 2017/15, Laboratory of Economics and Management (LEM), Sant'Anna School of Advanced Studies, Pisa, Italy.

    Cited by:

    1. Francesco Lamperti & Giovanni Dosi & Mauro Napoletano & Andrea Roventini & Alessandro Sapio, 2018. "And then he wasn't a she : Climate change and green transitions in an agent-based integrated assessment model," SciencePo Working papers Main hal-03443464, HAL.
    2. Luca Fontanelli & Mattia Guerini & Mauro Napoletano, 2022. "International trade and technological competition in markets with dynamic increasing returns," SciencePo Working papers Main halshs-03509092, HAL.
    3. G. Dosi & F. Lamperti & Mauro Napoletano & A. Roventini & A. Sapio, 2020. "Climate change and green transitions in an agent-based integrated assessment model," SciencePo Working papers Main halshs-03046932, HAL.
    4. Sanjit Dhami & Paolo Zeppini, 2024. "Green Technology Adoption under Uncertainty, Increasing Returns, and Complex Adaptive Dynamics," CESifo Working Paper Series 10900, CESifo.
    5. Joseph Hickey, 2023. "Simple model of market share dynamics based on clients' firm-switching decisions," Papers 2304.08727, arXiv.org, revised Nov 2023.
    6. Hickey, Joseph, 2024. "Simple model of market share dynamics based on clients’ firm-switching decisions," Physica A: Statistical Mechanics and its Applications, Elsevier, vol. 635(C).
    7. Leonardo Ciambezi & Mattia Guerini & Mauro Napoletano & Andrea Roventini, 2024. "Accounting for the Multiple Sources of Inflation: an Agent-Based Model Investigation," LEM Papers Series 2024/15, Laboratory of Economics and Management (LEM), Sant'Anna School of Advanced Studies, Pisa, Italy.
    8. Matthijs J. Janssen & Koen Frenken & Elena M. Tur & Alexander S. Alexiev, 2022. "The perils of pleasing: Innovation-stifling effects of customized service provision," Journal of Evolutionary Economics, Springer, vol. 32(4), pages 1231-1264, September.
    9. Giovanni Dosi & Anna Snaidero, 2024. "The nature and the strength of agglomeration drivers and their technological specificities," LEM Papers Series 2024/07, Laboratory of Economics and Management (LEM), Sant'Anna School of Advanced Studies, Pisa, Italy.

  12. Mattia Guerini & Alessio Moneta & Mauro Napoletano & Andrea Roventini, 2017. "The Janus-faced nature of debt : result from a data-driven cointegrated SVAR approach," Documents de Travail de l'OFCE 2017-02, Observatoire Francais des Conjonctures Economiques (OFCE).

    Cited by:

    1. Giovanni Dosi & Marcelo Pereira & Andrea Roventini & Maria Enrica Virgillito, 2018. "What if supply-side policies are not enough ? The perverse interaction of flexibility and austerity," SciencePo Working papers Main hal-03458460, HAL.
    2. Marta Gómez-Puig & Simón Sosvilla-Rivero, 2017. "Nonfinancial debt and economic growth in euro-area countries," Working Papers del Instituto Complutense de Estudios Internacionales 1708, Universidad Complutense de Madrid, Instituto Complutense de Estudios Internacionales.
    3. Moneta, Alessio & Pallante, Gianluca, 2022. "Identification of Structural VAR Models via Independent Component Analysis: A Performance Evaluation Study," Journal of Economic Dynamics and Control, Elsevier, vol. 144(C).
    4. Helder Ferreira de Mendonça & Ytallo Brito, 2021. "The link between public debt and investment: an empirical assessment from emerging markets," Applied Economics, Taylor & Francis Journals, vol. 53(50), pages 5864-5876, October.
    5. Pedrosa, Ítalo & Brochier, Lídia & Freitas, Fabio, 2023. "Debt hierarchy: Autonomous demand composition, growth and indebtedness in a Supermultiplier model," Economic Modelling, Elsevier, vol. 126(C).
    6. Janda, Karel & Kravtsov, Oleg, 2017. "Time-varying Effects of Public Debt on the Financial and Banking Development in the Central and Eastern Europe," MPRA Paper 77325, University Library of Munich, Germany.

  13. Marco Capasso & Alessio Moneta, 2016. "Macroeconomic responses to an independent monetary policy shock: a (more) agnostic identification procedure," LEM Papers Series 2016/36, Laboratory of Economics and Management (LEM), Sant'Anna School of Advanced Studies, Pisa, Italy.

    Cited by:

    1. Stephan B. Bruns & Alessio Moneta & David I. Stern, 2019. "Estimating the Economy-Wide Rebound Effect Using Empirically Identified Structural Vector Autoregressions," LEM Papers Series 2019/27, Laboratory of Economics and Management (LEM), Sant'Anna School of Advanced Studies, Pisa, Italy.
    2. Moneta, Alessio & Pallante, Gianluca, 2022. "Identification of Structural VAR Models via Independent Component Analysis: A Performance Evaluation Study," Journal of Economic Dynamics and Control, Elsevier, vol. 144(C).
    3. Herwartz, Helmut & Lange, Alexander & Maxand, Simone, 2019. "Statistical identification in SVARs - Monte Carlo experiments and a comparative assessment of the role of economic uncertainties for the US business cycle," University of Göttingen Working Papers in Economics 375, University of Goettingen, Department of Economics.
    4. Helmut Herwartz & Alexander Lange & Simone Maxand, 2022. "Data‐driven identification in SVARs—When and how can statistical characteristics be used to unravel causal relationships?," Economic Inquiry, Western Economic Association International, vol. 60(2), pages 668-693, April.
    5. Herwartz, Helmut & Maxand, Simone & Rohloff, Hannes, 2018. "Lean against the wind or float with the storm? Revisiting the monetary policy asset price nexus by means of a novel statistical identification approach," University of Göttingen Working Papers in Economics 354, University of Goettingen, Department of Economics.
    6. Gabriele Fiorentini & Enrique Sentana, 2020. "Discrete Mixtures of Normals Pseudo Maximum Likelihood Estimators of Structural Vector Autoregressions," Working Papers wp2020_2023, CEMFI.
    7. Brancaccio, Emiliano & Califano, Andrea & Lopreite, Milena & Moneta, Alessio, 2020. "Nonperforming loans and competing rules of monetary policy: A statistical identification approach," Structural Change and Economic Dynamics, Elsevier, vol. 53(C), pages 127-136.

  14. Barigozzi, Matteo & Moneta, Alessio, 2016. "Identifying the independent sources of consumption variation," LSE Research Online Documents on Economics 60979, London School of Economics and Political Science, LSE Library.

    Cited by:

    1. Tommaso Ciarli & Andre Lorentz & Marco Valente & Maria Savona, 2017. "Structural Changes and Growth Regime," Working Papers of BETA 2017-19, Bureau d'Economie Théorique et Appliquée, UDS, Strasbourg.
    2. Christophe Faugère, 2021. "Connectalism: A new paradigm for human choice," Systems Research and Behavioral Science, Wiley Blackwell, vol. 38(6), pages 866-889, November.
    3. Matteo Barigozzi, 2023. "Quasi Maximum Likelihood Estimation of High-Dimensional Factor Models: A Critical Review," Papers 2303.11777, arXiv.org, revised May 2024.
    4. Liqiong Chen & Antonio F. Galvao & Suyong Song, 2021. "Quantile Regression with Generated Regressors," Econometrics, MDPI, vol. 9(2), pages 1-35, April.

  15. Mattia Guerini & Alessio Moneta, 2016. "A Method for Agent-Based Models Validation," LEM Papers Series 2016/16, Laboratory of Economics and Management (LEM), Sant'Anna School of Advanced Studies, Pisa, Italy.

    Cited by:

    1. Giovanni Dosi & Francesco Lamperti & Mariana Mazzucato & Mauro Napoletano & Andrea Roventini, 2021. "Mission-Oriented Policies and the "Entrepreneurial State" at Work: An Agent-Based Exploration," GREDEG Working Papers 2021-25, Groupe de REcherche en Droit, Economie, Gestion (GREDEG CNRS), Université Côte d'Azur, France.
    2. Gallegati, Mauro & Kirman, Alan, 2019. "20 years of WEHIA: A journey in search of a safer road," Journal of Economic Behavior & Organization, Elsevier, vol. 157(C), pages 5-14.
    3. Tomas Balint & Francesco Lamperti & Antoine Mandel & Mauro Napoletano & Andrea Roventini & Alessandro Sapio, 2016. "Complexity and the Economics of Climate Change: a Survey and a Look Forward," SciencePo Working papers Main halshs-01390694, HAL.
    4. Francesco Lamperti & Valentina Bosetti & Andrea Roventini & Massimo Tavoni & Tania Treibich, 2021. "Three green financial policies to address climate risks," Post-Print hal-04103920, HAL.
    5. Seri, Raffaello & Martinoli, Mario & Secchi, Davide & Centorrino, Samuele, 2021. "Model calibration and validation via confidence sets," Econometrics and Statistics, Elsevier, vol. 20(C), pages 62-86.
    6. Francesco Lamperti & Andrea Roventini & Amir Sani, 2017. "Agent-Based Model Calibration using Machine Learning Surrogates," Papers 1703.10639, arXiv.org, revised Apr 2017.
    7. Grazzini, Jakob & Richiardi, Matteo G. & Tsionas, Mike, 2017. "Bayesian estimation of agent-based models," Journal of Economic Dynamics and Control, Elsevier, vol. 77(C), pages 26-47.
    8. Francesco Lamperti & Giovanni Dosi & Mauro Napoletano & Andrea Roventini & Alessandro Sapio, 2018. "And then he wasn't a she : Climate change and green transitions in an agent-based integrated assessment model," SciencePo Working papers Main hal-03443464, HAL.
    9. Giovanni Dosi & Mauro Napoletano & Andrea Roventini & Joseph Stiglitz & Tania Treibich, 2020. "Rational heuristics? Expectations and behaviors in evolving economies with heterogeneous interacting agents," Post-Print halshs-03046977, HAL.
    10. Dosi, Giovanni & Palagi, Elisa & Roventini, Andrea & Russo, Emanuele, 2023. "Do patents really foster innovation in the pharmaceutical sector? Results from an evolutionary, agent-based model," Journal of Economic Behavior & Organization, Elsevier, vol. 212(C), pages 564-589.
    11. Mattia Guerini & Francesco Lamperti & Mauro Napoletano & Andrea Roventini & Tania Treibich, 2022. "Unconventional monetary policies in an agent-based model with mark-to-market standards," Review of Evolutionary Political Economy, Springer, vol. 3(1), pages 73-107, April.
    12. Mario Martinoli & Alessio Moneta & Gianluca Pallante, 2022. "Calibration and Validation of Macroeconomic Simulation Models by Statistical Causal Search," LEM Papers Series 2022/33, Laboratory of Economics and Management (LEM), Sant'Anna School of Advanced Studies, Pisa, Italy.
    13. Mauro Napoletano, 2018. "A Short Walk on the Wild Side: Agent-Based Models and their Implications for Macroeconomic Analysis," Revue de l'OFCE, Presses de Sciences-Po, vol. 0(3), pages 257-281.
    14. Anna Petit-Boix & Defne Apul, 2018. "From Cascade to Bottom-Up Ecosystem Services Model: How Does Social Cohesion Emerge from Urban Agriculture?," Sustainability, MDPI, vol. 10(4), pages 1-13, March.
    15. Kukacka, Jiri & Jang, Tae-Seok & Sacht, Stephen, 2018. "On the estimation of behavioral macroeconomic models via simulated maximum likelihood," Economics Working Papers 2018-11, Christian-Albrechts-University of Kiel, Department of Economics.
    16. Sebastiaan Tieleman, 2022. "Towards a Validation Methodology for Macroeconomic Agent-Based Models," Computational Economics, Springer;Society for Computational Economics, vol. 60(4), pages 1507-1527, December.
    17. Giorgio Fagiolo & Andrea Roventini, 2016. "Macroeconomic Policy in DSGE and Agent-Based Models Redux: New Developments and Challenges Ahead," LEM Papers Series 2016/17, Laboratory of Economics and Management (LEM), Sant'Anna School of Advanced Studies, Pisa, Italy.
    18. Giulio Ecchia & Francesca Gagliardi & Caterina Giannetti, 2020. "Social Investment And Youth Labor Market Participation," Contemporary Economic Policy, Western Economic Association International, vol. 38(2), pages 343-358, April.
    19. Vandin, Andrea & Giachini, Daniele & Lamperti, Francesco & Chiaromonte, Francesca, 2022. "Automated and distributed statistical analysis of economic agent-based models," Journal of Economic Dynamics and Control, Elsevier, vol. 143(C).
    20. Guus ten Broeke & Hilde Tobi, 2021. "Mapping validity and validation in modelling for interdisciplinary research," Quality & Quantity: International Journal of Methodology, Springer, vol. 55(5), pages 1613-1630, October.
    21. Douglas Silveira & Ricardo B. L. M. Oscar, 2024. "Inflation Targeting Regimes in Emerging Market Economies: To Invest or Not to Invest?," Computational Economics, Springer;Society for Computational Economics, vol. 64(4), pages 2097-2129, October.
    22. Giovanni Dosi & Andrea Roventini, 2019. "More is Different ... and Complex! The Case for Agent-Based Macroeconomics," LEM Papers Series 2019/01, Laboratory of Economics and Management (LEM), Sant'Anna School of Advanced Studies, Pisa, Italy.
    23. Lamperti, F. & Dosi, G. & Napoletano, M. & Roventini, A. & Sapio, A., 2018. "Faraway, So Close: Coupled Climate and Economic Dynamics in an Agent-based Integrated Assessment Model," Ecological Economics, Elsevier, vol. 150(C), pages 315-339.
    24. Severin Reissl, 2021. "Heterogeneous expectations, forecasting behaviour and policy experiments in a hybrid Agent-based Stock-flow-consistent model," Journal of Evolutionary Economics, Springer, vol. 31(1), pages 251-299, January.
    25. Mattia Guerini & Mauro Napoletano & Andrea Roventini, 2016. "No Man Is an Island: The Impact of Heterogeneity and Local Interactions on Macroeconomic Dynamics," LEM Papers Series 2016/24, Laboratory of Economics and Management (LEM), Sant'Anna School of Advanced Studies, Pisa, Italy.
    26. Zakaria Babutsidze, 2018. "The rise of electronic social networks and implications for advertisers," Post-Print hal-03471523, HAL.
    27. Platt, Donovan, 2020. "A comparison of economic agent-based model calibration methods," Journal of Economic Dynamics and Control, Elsevier, vol. 113(C).
    28. Sylvain Barde, 2019. "Macroeconomic simulation comparison with a multivariate extension of the Markov Information Criterion," Studies in Economics 1908, School of Economics, University of Kent.
    29. G. Dosi & F. Lamperti & Mauro Napoletano & A. Roventini & A. Sapio, 2020. "Climate change and green transitions in an agent-based integrated assessment model," SciencePo Working papers Main halshs-03046932, HAL.
    30. Andrea Vandin & Daniele Giachini & Francesco Lamperti & Francesca Chiaromonte, 2021. "Automated and Distributed Statistical Analysis of Economic Agent-Based Models," Papers 2102.05405, arXiv.org, revised Nov 2023.
    31. Sylvain Barde & Sander van der Hoog, 2017. "An empirical validation protocol for large-scale agent-based models," Studies in Economics 1712, School of Economics, University of Kent.
    32. Hazan, Aurélien, 2017. "Volume of the steady-state space of financial flows in a monetary stock-flow-consistent model," Physica A: Statistical Mechanics and its Applications, Elsevier, vol. 473(C), pages 589-602.
    33. Giorgio Fagiolo & Mattia Guerini & Francesco Lamperti & Alessio Moneta & Andrea Roventini, 2017. "Validation of Agent-Based Models in Economics and Finance," LEM Papers Series 2017/23, Laboratory of Economics and Management (LEM), Sant'Anna School of Advanced Studies, Pisa, Italy.
    34. Siyan Chen & Saul Desiderio, 2022. "Calibration of Agent-Based Models by Means of Meta-Modeling and Nonparametric Regression," Computational Economics, Springer;Society for Computational Economics, vol. 60(4), pages 1457-1478, December.
    35. Alperen Bektas & Valentino Piana & René Schumann, 2021. "A meso-level empirical validation approach for agent-based computational economic models drawing on micro-data: a use case with a mobility mode-choice model," SN Business & Economics, Springer, vol. 1(6), pages 1-25, June.
    36. Donovan Platt & Tim Gebbie, 2016. "The Problem of Calibrating an Agent-Based Model of High-Frequency Trading," Papers 1606.01495, arXiv.org, revised Mar 2017.
    37. Gräbner, Claudius, 2016. "From realism to instrumentalism - and back? Methodological implications of changes in the epistemology of economics," MPRA Paper 71933, University Library of Munich, Germany.
    38. Lamperti, Francesco, 2018. "An information theoretic criterion for empirical validation of simulation models," Econometrics and Statistics, Elsevier, vol. 5(C), pages 83-106.
    39. Dosi, Giovanni & Roventini, Andrea & Russo, Emanuele, 2019. "Endogenous growth and global divergence in a multi-country agent-based model," Journal of Economic Dynamics and Control, Elsevier, vol. 101(C), pages 101-129.
    40. Donovan Platt, 2022. "Bayesian Estimation of Economic Simulation Models Using Neural Networks," Computational Economics, Springer;Society for Computational Economics, vol. 59(2), pages 599-650, February.
    41. Giovanni Dosi & Marcelo C. Pereira & Andrea Roventini & Maria Enrica Virgillito, 2016. "The Effects of Labour Market Reforms upon Unemployment and Income Inequalities: an Agent Based Model," LEM Papers Series 2016/27, Laboratory of Economics and Management (LEM), Sant'Anna School of Advanced Studies, Pisa, Italy.
    42. Bernardo A. Furtado & Miguel A. Fuentes & Claudio J. Tessone, 2019. "Policy Modeling and Applications: State-of-the-Art and Perspectives," Complexity, Hindawi, vol. 2019, pages 1-11, February.
    43. Schmitt, Noemi & Schwartz, Ivonne & Westerhoff, Frank H., 2020. "Heterogeneous speculators and stock market dynamics: A simple agent-based computational model," BERG Working Paper Series 160, Bamberg University, Bamberg Economic Research Group.
    44. Gianluca Capone & Franco Malerba & Richard R. Nelson & Luigi Orsenigo & Sidney G. Winter, 2019. "History friendly models: retrospective and future perspectives," Eurasian Business Review, Springer;Eurasia Business and Economics Society, vol. 9(1), pages 1-23, March.
    45. Francesco Lamperti, 2016. "Empirical Validation of Simulated Models through the GSL-div: an Illustrative Application," LEM Papers Series 2016/18, Laboratory of Economics and Management (LEM), Sant'Anna School of Advanced Studies, Pisa, Italy.
    46. Herbert Dawid & Philipp Harting & Sander van der Hoog, 2019. "Manager remuneration, share buybacks, and firm performance," Industrial and Corporate Change, Oxford University Press and the Associazione ICC, vol. 28(3), pages 681-706.
    47. Cordoni, Francesco & Dorémus, Nicolas & Moneta, Alessio, 2024. "Identification of vector autoregressive models with nonlinear contemporaneous structure," Journal of Economic Dynamics and Control, Elsevier, vol. 162(C).
    48. Kukacka, Jiri & Sacht, Stephen, 2021. "Estimation of Heuristic Switching in Behavioral Macroeconomic Models," Economics Working Papers 2021-01, Christian-Albrechts-University of Kiel, Department of Economics.
    49. Leonardo Ciambezi & Mattia Guerini & Mauro Napoletano & Andrea Roventini, 2024. "Accounting for the Multiple Sources of Inflation: an Agent-Based Model Investigation," LEM Papers Series 2024/15, Laboratory of Economics and Management (LEM), Sant'Anna School of Advanced Studies, Pisa, Italy.
    50. Donovan Platt, 2019. "A Comparison of Economic Agent-Based Model Calibration Methods," Papers 1902.05938, arXiv.org.
    51. Platt, Donovan & Gebbie, Tim, 2018. "Can agent-based models probe market microstructure?," Physica A: Statistical Mechanics and its Applications, Elsevier, vol. 503(C), pages 1092-1106.
    52. Siyan Chen & Saul Desiderio, 2022. "A Regression-Based Calibration Method for Agent-Based Models," Computational Economics, Springer;Society for Computational Economics, vol. 59(2), pages 687-700, February.
    53. Nils Bertschinger & Iurii Mozzhorin, 2021. "Bayesian estimation and likelihood-based comparison of agent-based volatility models," Journal of Economic Interaction and Coordination, Springer;Society for Economic Science with Heterogeneous Interacting Agents, vol. 16(1), pages 173-210, January.
    54. Mérő, Bence & Borsos, András & Hosszú, Zsuzsanna & Oláh, Zsolt & Vágó, Nikolett, 2023. "A high-resolution, data-driven agent-based model of the housing market," Journal of Economic Dynamics and Control, Elsevier, vol. 155(C).
    55. Francesco Lamperti, 2018. "Empirical validation of simulated models through the GSL-div: an illustrative application," Journal of Economic Interaction and Coordination, Springer;Society for Economic Science with Heterogeneous Interacting Agents, vol. 13(1), pages 143-171, April.
    56. Zema, Sebastiano Michele, 2022. "Directed acyclic graph based information shares for price discovery," Journal of Economic Dynamics and Control, Elsevier, vol. 139(C).
    57. Giulio Ecchia & Francesca Gagliardi & Caterina Giannetti, 2018. "Social Investment and youth labour market participation: a EU regional analysis," Discussion Papers 2018/236, Dipartimento di Economia e Management (DEM), University of Pisa, Pisa, Italy.
    58. Navarro, Andres & Tapiador, Francisco J., 2019. "RUSEM: A numerical model for policymaking and climate applications," Ecological Economics, Elsevier, vol. 165(C), pages 1-1.
    59. Andrew G. Haldane & Arthur E. Turrell, 2019. "Drawing on different disciplines: macroeconomic agent-based models," Journal of Evolutionary Economics, Springer, vol. 29(1), pages 39-66, March.
    60. Oldham, Matthew, 2020. "Quantifying the concerns of Dimon and Buffett with data and computation," Journal of Economic Dynamics and Control, Elsevier, vol. 113(C).

  16. Andreas Chai & Alessio Moneta, 2011. "Back to Engel? Some evidence for the hierarchy of needs," Papers on Economics and Evolution 2011-13, Philipps University Marburg, Department of Geography.

    Cited by:

    1. Leonhard K. Lades, 2012. "The impact of differential satiation dynamics on changing consumer behavior, wellbeing, and innovative activity," Papers on Economics and Evolution 2012-16, Philipps University Marburg, Department of Geography.
    2. Kaus, Wolfhard, 2013. "Beyond Engel's law - A cross-country analysis," Journal of Behavioral and Experimental Economics (formerly The Journal of Socio-Economics), Elsevier, vol. 47(C), pages 118-134.
    3. Andreas Chai & Elena Stepanova & Alessio Moneta, 2022. "Quantifying Expenditure Hierarchies and the Expansion of Global Consumption Diversity," LEM Papers Series 2022/29, Laboratory of Economics and Management (LEM), Sant'Anna School of Advanced Studies, Pisa, Italy.
    4. Andreas Chai, 2017. "Tackling Keynes’ question: a look back on 15 years of Learning To Consume," Journal of Evolutionary Economics, Springer, vol. 27(2), pages 251-271, April.
    5. Pier-Paolo Saviotti & Andreas Pyka & Bogang Jun, 2016. "Education, structural change and economic development," Post-Print hal-02097591, HAL.
    6. Krecik, Markus, 2024. "A needs-based framework for approximating decisions and well-being," Discussion Papers 2024/2, Free University Berlin, School of Business & Economics.
    7. Pier-Paolo Saviotti & Andreas Pyka, 2017. "Innovation, structural change and demand evolution: does demand saturate?," Journal of Evolutionary Economics, Springer, vol. 27(2), pages 337-358, April.
    8. Fouquet, Roger, 2014. "Long run demand for energy services: income and price elasticities over two hundred years," LSE Research Online Documents on Economics 59070, London School of Economics and Political Science, LSE Library.
    9. Roger Fouquet, 2013. "Long Run Demand for Energy Services: the Role of Economic and Technological Development," Working Papers 2013-03, BC3.
    10. Dosi, G. & Pereira, M.C. & Roventini, A. & Virgillito, M.E., 2022. "Technological paradigms, labour creation and destruction in a multi-sector agent-based model," Research Policy, Elsevier, vol. 51(10).
    11. Christophe Faugère, 2021. "Connectalism: A new paradigm for human choice," Systems Research and Behavioral Science, Wiley Blackwell, vol. 38(6), pages 866-889, November.
    12. Leonhard Lades, 2013. "Explaining shapes of Engel curves: the impact of differential satiation dynamics on consumer behavior," Journal of Evolutionary Economics, Springer, vol. 23(5), pages 1023-1045, November.
    13. Andreas Chai, 2018. "Household consumption patterns and the sectoral composition of growing economies: A review of the interlinkages," Discussion Papers in Economics economics:201802, Griffith University, Department of Accounting, Finance and Economics.
    14. Mattia Iotti & Giuseppe Bonazzi, 2016. "Assessment of Biogas Plant Firms by Application of Annual Accounts and Financial Data Analysis Approach," Energies, MDPI, vol. 9(9), pages 1-19, September.
    15. Andreas Chai & Nicholas Rohde & Jacques Silber, 2015. "Measuring The Diversity Of Household Spending Patterns," Journal of Economic Surveys, Wiley Blackwell, vol. 29(3), pages 423-440, July.
    16. Neagu Mădălin-Ioan & Teodoru Mircea Constantin, 2017. "Testing the Engel's law in the consumption pattern of Romanian population," Studia Universitatis „Vasile Goldis” Arad – Economics Series, Sciendo, vol. 27(3), pages 33-53, September.

  17. Matteo Barigozzi & Alessio Moneta, 2011. "The Rank of a System of Engel Curves. How Many Common Factors?," Papers on Economics and Evolution 2011-01, Philipps University Marburg, Department of Geography.

    Cited by:

    1. Andreas Chai, 2017. "Tackling Keynes’ question: a look back on 15 years of Learning To Consume," Journal of Evolutionary Economics, Springer, vol. 27(2), pages 251-271, April.

  18. Alessio Moneta & Doris Entner & Patrik Hoyer & Alex Coad, 2010. "Causal Inference by Independent Component Analysis with Applications to Micro- and Macroeconomic Data," Jena Economics Research Papers 2010-031, Friedrich-Schiller-University Jena.

    Cited by:

    1. Alex Coad, 2007. "Neoclassical vs Evolutionary Theories of Financial Constraints : Critique and Prospectus," Post-Print halshs-00144415, HAL.
    2. Tommaso Ciarli, 2012. "Structural interactions and long run growth: An application of Experimental Design to Agent Based Models," Papers on Economics and Evolution 2012-06, Philipps University Marburg, Department of Geography.
    3. Tommaso Ferraresi & Andrea Roventini & Giorgio Fagiolo, 2013. "Fiscal Policies and Credit Regimes: A TVAR Approach," Working Papers 03/2013, University of Verona, Department of Economics.
    4. Alex Coad & Werner Hölzl, 2010. "Firm growth: empirical analysis," Papers on Economics and Evolution 2010-02, Philipps University Marburg, Department of Geography.

  19. Alessio Moneta & Andreas Chai, 2010. "The evolution of Engel curves and its implications for structural change," Discussion Papers in Economics economics:201009, Griffith University, Department of Accounting, Finance and Economics.

    Cited by:

    1. Kaus, Wolfhard, 2013. "Beyond Engel's law - A cross-country analysis," Journal of Behavioral and Experimental Economics (formerly The Journal of Socio-Economics), Elsevier, vol. 47(C), pages 118-134.
    2. Mun Ho & Wolfgang Britz & Ruth Delzeit & Florian Leblanc & Roberto Roson & Franziska Schuenemann & Matthias Weitzel, 2020. "Modelling Consumption and Constructing Long-Term Baselines in Final Demand," Journal of Global Economic Analysis, Center for Global Trade Analysis, Department of Agricultural Economics, Purdue University, vol. 5(1), pages 63-108, June.
    3. Dai, Hancheng & Masui, Toshihiko & Matsuoka, Yuzuru & Fujimori, Shinichiro, 2012. "The impacts of China’s household consumption expenditure patterns on energy demand and carbon emissions towards 2050," Energy Policy, Elsevier, vol. 50(C), pages 736-750.
    4. Andreas Chai, 2017. "Tackling Keynes’ question: a look back on 15 years of Learning To Consume," Journal of Evolutionary Economics, Springer, vol. 27(2), pages 251-271, April.
    5. Tommaso Ciarli & Andre Lorentz & Marco Valente & Maria Savona, 2017. "Structural Changes and Growth Regime," Working Papers of BETA 2017-19, Bureau d'Economie Théorique et Appliquée, UDS, Strasbourg.
    6. Andreas Chai & Wolfhard Kaus, 2013. "Signalling to whom? Conspicuous spending and the local density of the social group income distribution," Papers on Economics and Evolution 2012-18, Philipps University Marburg, Department of Geography.
    7. Andreas Chai & Alessio Moneta, 2011. "Back to Engel? Some evidence for the hierarchy of needs," Papers on Economics and Evolution 2011-13, Philipps University Marburg, Department of Geography.
    8. Ulimwengu, John M. & Roberts, Cleo & Randriamamonjy, Josee, 2012. "Resource-Rich Yet Malnourished: Analysis of the demand for food nutrients in the Democratic Republic of Congo," IFPRI discussion papers 1154, International Food Policy Research Institute (IFPRI).
    9. Roger Fouquet, 2012. "Trends in Income and Price Elasticities of Transport Demand (1850-2010)," Working Papers 2012-01, BC3.
    10. Roger Fouquet, 2013. "Long Run Demand for Energy Services: the Role of Economic and Technological Development," Working Papers 2013-03, BC3.
    11. Andreas Chai, 2017. "Rethinking the economic possibilities of our grandchildren: what is the future of consumption?," Journal of Evolutionary Economics, Springer, vol. 27(2), pages 215-219, April.
    12. Stephan B. Bruns & Alessio Moneta, 2017. "Intertemporal propensity to consume," Journal of Evolutionary Economics, Springer, vol. 27(2), pages 295-314, April.

  20. Corinna Manig & Alessio Moneta, 2009. "More Or Better? Measuring Quality Versus Quantity In Food Consumption," Papers on Economics and Evolution 2009-13, Philipps University Marburg, Department of Geography.

    Cited by:

    1. Melanie Lefevre, 2011. "Willingness-to-pay for Local Milk-based Dairy Product in Senegal," CREPP Working Papers 1108, Centre de Recherche en Economie Publique et de la Population (CREPP) (Research Center on Public and Population Economics) HEC-Management School, University of Liège.
    2. Staudigel, Matthias, 2010. "The Demand For Food Quality In Russia And Its Linkage To Obesity," 115th Joint EAAE/AAEA Seminar, September 15-17, 2010, Freising-Weihenstephan, Germany 116444, European Association of Agricultural Economists.
    3. Andreas Chai, 2017. "Tackling Keynes’ question: a look back on 15 years of Learning To Consume," Journal of Evolutionary Economics, Springer, vol. 27(2), pages 251-271, April.
    4. Ulrich Witt, 2011. "Sustainability and the Problem of Consumption," Papers on Economics and Evolution 2011-16, Philipps University Marburg, Department of Geography.
    5. Benjamin Volland, 2019. "Conscientious consumers? Personality, preferences and expenditures in the UK," Journal of Bioeconomics, Springer, vol. 21(2), pages 71-109, July.
    6. Andreas Chai & Alessio Moneta, 2011. "Back to Engel? Some evidence for the hierarchy of needs," Papers on Economics and Evolution 2011-13, Philipps University Marburg, Department of Geography.
    7. Butzlaff, Iris, 2016. "BMI Growth Rates and the Nutrition Transition: The Role of Income, Inequality and Income Growth in Russia," GlobalFood Discussion Papers 232914, Georg-August-Universitaet Goettingen, GlobalFood, Department of Agricultural Economics and Rural Development.
    8. Pier-Paolo Saviotti & Andreas Pyka, 2017. "Innovation, structural change and demand evolution: does demand saturate?," Journal of Evolutionary Economics, Springer, vol. 27(2), pages 337-358, April.
    9. Ogundari, Kolawole, 2012. "Demand For Quantity Versus Quality In Beef, Chicken And Fish Consumption In Nigeria," Revista de Economia e Agronegócio / Brazilian Review of Economics and Agribusiness, Federal University of Vicosa, Department of Agricultural Economics, vol. 10(1), pages 1-22.
    10. Staudigel, Matthias, 2011. "How do obese people afford to be obese? Consumption strategies of Russian households," 2011 International Congress, August 30-September 2, 2011, Zurich, Switzerland 116065, European Association of Agricultural Economists.
    11. Andreas Chai, 2018. "Household consumption patterns and the sectoral composition of growing economies: A review of the interlinkages," Discussion Papers in Economics economics:201802, Griffith University, Department of Accounting, Finance and Economics.
    12. Ulrich Witt, 2017. "The evolution of consumption and its welfare effects," Journal of Evolutionary Economics, Springer, vol. 27(2), pages 273-293, April.
    13. Chai Andreas & Moneta Alessio, 2014. "Escaping Satiation Dynamics: Some Evidence from British Household Data," Journal of Economics and Statistics (Jahrbuecher fuer Nationaloekonomie und Statistik), De Gruyter, vol. 234(2-3), pages 299-327, April.
    14. Stephan B. Bruns & Alessio Moneta, 2017. "Intertemporal propensity to consume," Journal of Evolutionary Economics, Springer, vol. 27(2), pages 295-314, April.

  21. Andreas Chai & Alessio Moneta, 2009. "Satiation, Escaping Satiation, and Structural Change: Some Evidence from the Evolution of Engel Curves," Papers on Economics and Evolution 2008-18, Philipps University Marburg, Department of Geography.

    Cited by:

    1. Corinna Manig & Alessio Moneta, 2009. "More Or Better? Measuring Quality Versus Quantity In Food Consumption," Papers on Economics and Evolution 2009-13, Philipps University Marburg, Department of Geography.
    2. Matteo Barigozzi & Lucia Alessi & Marco Capasso & Giorgio Fagiolo, 2008. "The Distribution of Consumption-Expenditure Budget Shares. Evidence from Italian Households," Papers on Economics and Evolution 2008-09, Philipps University Marburg, Department of Geography.
    3. Barigozzi, Matteo & Alessi, Lucia & Capasso, Marco & Fagiolo, Giorgio, 2012. "The distribution of household consumption-expenditure budget shares," Structural Change and Economic Dynamics, Elsevier, vol. 23(1), pages 69-91.

  22. Andreas Chai & Alessio Moneta, 2008. "Comparing Shapes of Engel Curves," Jena Economics Research Papers 2008-093, Friedrich-Schiller-University Jena.

    Cited by:

    1. Witt, Ulrich, 2021. "Does sustainability-promoting policy making reduce our welfare?," Ecological Economics, Elsevier, vol. 188(C).

  23. A. Chai & A. Moneta, 2008. "At the Origins of Engel Curves Estimation," Papers on Economics and Evolution 2008-02, Philipps University Marburg, Department of Geography.

    Cited by:

    1. Matteo Barigozzi & Lucia Alessi & Marco Capasso & Giorgio Fagiolo, 2008. "The Distribution of Consumption-Expenditure Budget Shares. Evidence from Italian Households," Papers on Economics and Evolution 2008-09, Philipps University Marburg, Department of Geography.
    2. Barigozzi, Matteo & Alessi, Lucia & Capasso, Marco & Fagiolo, Giorgio, 2012. "The distribution of household consumption-expenditure budget shares," Structural Change and Economic Dynamics, Elsevier, vol. 23(1), pages 69-91.

  24. Giorgio Fagiolo & Paul Windrum & Alessio Moneta, 2006. "Empirical Validation of Agent Based Models: A Critical Survey," LEM Papers Series 2006/14, Laboratory of Economics and Management (LEM), Sant'Anna School of Advanced Studies, Pisa, Italy.

    Cited by:

    1. Klein, A. & Urbig, D. & Kirn, S., 2008. "Who Drives the Market? Estimating a Heterogeneous Agent-based Financial Market Model Using a Neural Network Approach," MPRA Paper 14433, University Library of Munich, Germany.
    2. Ilker Arslan & Eugenio Caverzasi & Mauro Gallegati & Alper Duman, 2016. "Long Term Impacts of Bank Behavior on Financial Stability. an Agent Based Modeling Approach," Journal of Artificial Societies and Social Simulation, Journal of Artificial Societies and Social Simulation, vol. 19(1), pages 1-11.
    3. G. Fagiolo & A. Roventini, 2009. "On the Scientific Status of Economic Policy: A Tale of Alternative Paradigms," Voprosy Ekonomiki, NP Voprosy Ekonomiki, issue 6.
    4. Romeo Danielis & Mariangela Scorrano & Alessandro Massi Pavan & Nicola Blasuttigh, 2023. "Simulating the Diffusion of Residential Rooftop Photovoltaic, Battery Storage Systems and Electric Cars in Italy. An Exploratory Study Combining a Discrete Choice and Agent-Based Modelling Approach," Energies, MDPI, vol. 16(1), pages 1-20, January.
    5. Robert Marks, 2007. "Validating Simulation Models: A General Framework and Four Applied Examples," Computational Economics, Springer;Society for Computational Economics, vol. 30(3), pages 265-290, October.
    6. Garcia, Rosanna & Rummel, Paul & Hauser, John, 2007. "Validating agent-based marketing models through conjoint analysis," Journal of Business Research, Elsevier, vol. 60(8), pages 848-857, August.
    7. Bàrbara Llacay & Gilbert Peffer, 2018. "Using realistic trading strategies in an agent-based stock market model," Computational and Mathematical Organization Theory, Springer, vol. 24(3), pages 308-350, September.
    8. Tobias Buchmann & Patrick Wolf & Stefan Fidaschek, 2021. "Stimulating E-Mobility Diffusion in Germany (EMOSIM): An Agent-Based Simulation Approach," Energies, MDPI, vol. 14(3), pages 1-25, January.
    9. Kate Zidar & Timothy A. Bartrand & Charles H. Loomis & Chariss A. McAfee & Juliet M. Geldi & Gavin J. Rigall & Franco Montalto, 2017. "Maximizing Green Infrastructure in a Philadelphia Neighborhood," Urban Planning, Cogitatio Press, vol. 2(4), pages 115-132.
    10. Stanislao Gualdi & Marco Tarzia & Francesco Zamponi & Jean-Philippe Bouchaud, 2017. "Monetary policy and dark corners in a stylized agent-based model," Journal of Economic Interaction and Coordination, Springer;Society for Economic Science with Heterogeneous Interacting Agents, vol. 12(3), pages 507-537, October.
    11. Haber Gottfried, 2008. "Monetary and Fiscal Policy Analysis With an Agent-Based Macroeconomic Model," Journal of Economics and Statistics (Jahrbuecher fuer Nationaloekonomie und Statistik), De Gruyter, vol. 228(2-3), pages 276-295, April.
    12. Robert E. Marks, 2013. "Validation and Functional Complexity," Discussion Papers 2013-30, School of Economics, The University of New South Wales.
    13. Frank C. S. Liu, 2011. "Validation And Agent-Based Modeling: A Practice Of Contrasting Simulation Results With Empirical Data," New Mathematics and Natural Computation (NMNC), World Scientific Publishing Co. Pte. Ltd., vol. 7(03), pages 515-542.
    14. Sen, Burak & Noori, Mehdi & Tatari, Omer, 2017. "Will Corporate Average Fuel Economy (CAFE) Standard help? Modeling CAFE's impact on market share of electric vehicles," Energy Policy, Elsevier, vol. 109(C), pages 279-287.

  25. Alessio Moneta, 2003. "Graphical Models for Structural Vector Autoregressions," LEM Papers Series 2003/07, Laboratory of Economics and Management (LEM), Sant'Anna School of Advanced Studies, Pisa, Italy.

    Cited by:

    1. Aramayis Dallakyan, 2021. "Nonparanormal Structural VAR for Non-Gaussian Data," Computational Economics, Springer;Society for Computational Economics, vol. 57(4), pages 1093-1113, April.
    2. Alessio Moneta & Peter Spirtes, 2005. "Graph-Based Search Procedure for Vector Autoregressive Models," LEM Papers Series 2005/14, Laboratory of Economics and Management (LEM), Sant'Anna School of Advanced Studies, Pisa, Italy.
    3. Alessio Moneta, 2008. "Graphical causal models and VARs: an empirical assessment of the real business cycles hypothesis," Empirical Economics, Springer, vol. 35(2), pages 275-300, September.

Articles

  1. Chai, Andreas & Stepanova, Elena & Moneta, Alessio, 2023. "Quantifying expenditure hierarchies and the expansion of global consumption diversity," Journal of Economic Behavior & Organization, Elsevier, vol. 214(C), pages 860-886.
    See citations under working paper version above.
  2. Ciarli, Tommaso & Coad, Alex & Moneta, Alessio, 2023. "Does exporting cause productivity growth? Evidence from Chilean firms," Structural Change and Economic Dynamics, Elsevier, vol. 66(C), pages 228-239.

    Cited by:

    1. Casagrande, Dieison & Hidalgo, Álvaro & Feistel, Paulo, 2024. "Exports, productivity and capital intensity: Evidence for Brazilian firms," Structural Change and Economic Dynamics, Elsevier, vol. 70(C), pages 279-301.

  3. Moneta, Alessio & Pallante, Gianluca, 2022. "Identification of Structural VAR Models via Independent Component Analysis: A Performance Evaluation Study," Journal of Economic Dynamics and Control, Elsevier, vol. 144(C).
    See citations under working paper version above.
  4. Berner, Anne & Bruns, Stephan & Moneta, Alessio & Stern, David I., 2022. "Do energy efficiency improvements reduce energy use? Empirical evidence on the economy-wide rebound effect in Europe and the United States," Energy Economics, Elsevier, vol. 110(C).
    See citations under working paper version above.
  5. Bruns, Stephan B. & Moneta, Alessio & Stern, David I., 2021. "Estimating the economy-wide rebound effect using empirically identified structural vector autoregressions," Energy Economics, Elsevier, vol. 97(C).
    See citations under working paper version above.
  6. Brancaccio, Emiliano & Califano, Andrea & Lopreite, Milena & Moneta, Alessio, 2020. "Nonperforming loans and competing rules of monetary policy: A statistical identification approach," Structural Change and Economic Dynamics, Elsevier, vol. 53(C), pages 127-136.

    Cited by:

    1. Ciarli, Tommaso & Coad, Alex & Moneta, Alessio, 2023. "Does exporting cause productivity growth? Evidence from Chilean firms," Structural Change and Economic Dynamics, Elsevier, vol. 66(C), pages 228-239.
    2. Emiliano Brancaccio & Raffaele Giammetti & Milena Lopreite & Michelangelo Puliga, 2023. "Convergence in solvency and capital centralization: A B‐VAR analysis for high‐income and euro area countries," Metroeconomica, Wiley Blackwell, vol. 74(1), pages 40-73, February.
    3. Emiliano Brancaccio, 2023. "Centralizzazione del capitale, guerra e pace (Centralization of capital, war and peace)," Moneta e Credito, Economia civile, vol. 76(304), pages 339-356.

  7. Guerini, Mattia & Moneta, Alessio & Napoletano, Mauro & Roventini, Andrea, 2020. "The Janus-Faced Nature Of Debt: Results From A Data-Driven Cointegrated Svar Approach," Macroeconomic Dynamics, Cambridge University Press, vol. 24(1), pages 24-54, January.
    See citations under working paper version above.
  8. Giovanni Dosi & Alessio Moneta & Elena Stepanova, 2019. "Dynamic increasing returns and innovation diffusion: bringing Polya Urn processes to the empirical data," Industry and Innovation, Taylor & Francis Journals, vol. 26(4), pages 461-478, April.
    See citations under working paper version above.
  9. Guerini, Mattia & Moneta, Alessio, 2017. "A method for agent-based models validation," Journal of Economic Dynamics and Control, Elsevier, vol. 82(C), pages 125-141.
    See citations under working paper version above.
  10. Stephan B. Bruns & Alessio Moneta, 2017. "Intertemporal propensity to consume," Journal of Evolutionary Economics, Springer, vol. 27(2), pages 295-314, April.

    Cited by:

    1. Andreas Chai, 2017. "Rethinking the economic possibilities of our grandchildren: what is the future of consumption?," Journal of Evolutionary Economics, Springer, vol. 27(2), pages 215-219, April.
    2. Witt, Ulrich, 2021. "Does sustainability-promoting policy making reduce our welfare?," Ecological Economics, Elsevier, vol. 188(C).

  11. Matteo Barigozzi & Alessio Moneta, 2016. "Identifying the Independent Sources of Consumption Variation," Journal of Applied Econometrics, John Wiley & Sons, Ltd., vol. 31(2), pages 420-449, March.
    See citations under working paper version above.
  12. Alessio Moneta & Andreas Chai, 2014. "The evolution of Engel curves and its implications for structural change theory," Cambridge Journal of Economics, Cambridge Political Economy Society, vol. 38(4), pages 895-923.

    Cited by:

    1. Wolfgang J. Fellner & Roman J. Seidl, 2015. "Satiated Consumers: Allocation of Consumption Time in an Affluent Society," Metroeconomica, Wiley Blackwell, vol. 66(3), pages 534-563, July.
    2. Gisbert, Oriol, 2023. "A description of mature and catching-up economies: A bottom-up approach from trade specialization data," Structural Change and Economic Dynamics, Elsevier, vol. 67(C), pages 193-210.
    3. Subhasankar Chattopadhyay, 2022. "Pace of structural change and inter‐sectoral relative price: The case of India and China," The World Economy, Wiley Blackwell, vol. 45(11), pages 3534-3558, November.
    4. Andreas Chai & Elena Stepanova & Alessio Moneta, 2022. "Quantifying Expenditure Hierarchies and the Expansion of Global Consumption Diversity," LEM Papers Series 2022/29, Laboratory of Economics and Management (LEM), Sant'Anna School of Advanced Studies, Pisa, Italy.
    5. Andreas Chai, 2017. "Tackling Keynes’ question: a look back on 15 years of Learning To Consume," Journal of Evolutionary Economics, Springer, vol. 27(2), pages 251-271, April.
    6. Saint-Paul, Gilles, 2017. "Secular Satiation," IZA Discussion Papers 10879, Institute of Labor Economics (IZA).
    7. Gwozdz, W. & Reisch, L. & Eiben, G. & Hunsberger, M. & Konstabel, K. & Kovacs, E. & Luszczki, E. & Mazur, A. & Mendl, E. & Saamel, M. & Wolters, M., 2020. "The effect of smileys as motivational incentives on children’s fruit and vegetable choice, consumption and waste: A field experiment in schools in five European countries," Food Policy, Elsevier, vol. 96(C).
    8. Fuad A Awwad & Suzan Abdel-Rahman & Mohamed R Abonazel, 2021. "Estimating equivalence scales and non-food needs in Egypt: Parametric and semiparametric regression modeling," PLOS ONE, Public Library of Science, vol. 16(8), pages 1-26, August.
    9. Andreas Chai & Christian Kiedaisch & Nicholas Rohde, 2017. "The saturation of spending diversity and the truth about Mr Brown and Mrs Jones," Discussion Papers in Economics economics:201701, Griffith University, Department of Accounting, Finance and Economics.
    10. Christophe Faugère, 2021. "Connectalism: A new paradigm for human choice," Systems Research and Behavioral Science, Wiley Blackwell, vol. 38(6), pages 866-889, November.
    11. Andreas Chai, 2018. "Household consumption patterns and the sectoral composition of growing economies: A review of the interlinkages," Discussion Papers in Economics economics:201802, Griffith University, Department of Accounting, Finance and Economics.
    12. Andreas Chai, 2017. "Rethinking the economic possibilities of our grandchildren: what is the future of consumption?," Journal of Evolutionary Economics, Springer, vol. 27(2), pages 215-219, April.
    13. Stephan B. Bruns & Alessio Moneta, 2017. "Intertemporal propensity to consume," Journal of Evolutionary Economics, Springer, vol. 27(2), pages 295-314, April.

  13. Corinna Manig & Alessio Moneta, 2014. "More or better? Measuring quality versus quantity in food consumption," Journal of Bioeconomics, Springer, vol. 16(2), pages 155-178, July.
    See citations under working paper version above.
  14. Alessio Moneta & Federica Russo, 2014. "Causal models and evidential pluralism in econometrics," Journal of Economic Methodology, Taylor & Francis Journals, vol. 21(1), pages 54-76, March.

    Cited by:

    1. Brancaccio, Emiliano & Garbellini, Nadia & Giammetti, Raffaele, 2018. "Structural labour market reforms, GDP growth and the functional distribution of income," Structural Change and Economic Dynamics, Elsevier, vol. 44(C), pages 34-45.
    2. Michael Joffe, 2017. "Causal theories, models and evidence in economics—some reflections from the natural sciences," Cogent Economics & Finance, Taylor & Francis Journals, vol. 5(1), pages 1280983-128, January.
    3. Marchionni, Caterina & Reijula, Samuli, 2018. "What is mechanistic evidence, and why do we need it for evidence-based policy?," SocArXiv 4ufbm, Center for Open Science.
    4. Claudius Gräbner, 2017. "The Complementary Relationship Between Institutional and Complexity Economics: The Example of Deep Mechanismic Explanations," Journal of Economic Issues, Taylor & Francis Journals, vol. 51(2), pages 392-400, April.
    5. MOUCHART Michel, & ORSI Renzo, & WUNSCH Guillaume,, 2020. "Causality in econometric modeling. From theory to structural causal modeling," LIDAM Discussion Papers CORE 2020003, Université catholique de Louvain, Center for Operations Research and Econometrics (CORE).
    6. Leonardo Marinho, 2022. "Causal Impulse Responses for Time Series," Working Papers Series 570, Central Bank of Brazil, Research Department.

  15. Chai Andreas & Moneta Alessio, 2014. "Escaping Satiation Dynamics: Some Evidence from British Household Data," Journal of Economics and Statistics (Jahrbuecher fuer Nationaloekonomie und Statistik), De Gruyter, vol. 234(2-3), pages 299-327, April.

    Cited by:

    1. Andreas Chai, 2018. "Household consumption patterns and the sectoral composition of growing economies: A review of the interlinkages," Discussion Papers in Economics economics:201802, Griffith University, Department of Accounting, Finance and Economics.
    2. Jason Potts, 2017. "Institutions hold consumption on a leash: an evolutionary economic approach to the future of consumption," Journal of Evolutionary Economics, Springer, vol. 27(2), pages 239-250, April.
    3. Stephan B. Bruns & Alessio Moneta, 2017. "Intertemporal propensity to consume," Journal of Evolutionary Economics, Springer, vol. 27(2), pages 295-314, April.
    4. Samuel MENG, 2018. "How to build an economy free of recession and stagnation: results from a multi-commodity macro model," Theoretical and Applied Economics, Asociatia Generala a Economistilor din Romania / Editura Economica, vol. 0(2(615), S), pages 69-104, Summer.

  16. Alessio Moneta & Doris Entner & Patrik O. Hoyer & Alex Coad, 2013. "Causal Inference by Independent Component Analysis: Theory and Applications," Oxford Bulletin of Economics and Statistics, Department of Economics, University of Oxford, vol. 75(5), pages 705-730, October.

    Cited by:

    1. Aramayis Dallakyan, 2021. "Nonparanormal Structural VAR for Non-Gaussian Data," Computational Economics, Springer;Society for Computational Economics, vol. 57(4), pages 1093-1113, April.
    2. Blaise Gnimassoun & Valérie Mignon, 2014. "How macroeconomic imbalances interact? Evidence from a panel VAR analysis," EconomiX Working Papers 2014-5, University of Paris Nanterre, EconomiX.
    3. Peter G. Fennell & David J. P. O’Sullivan & Antoine Godin & Stephen Kinsella, 2016. "Is It Possible to Visualise Any Stock Flow Consistent Model as a Directed Acyclic Graph?," Computational Economics, Springer;Society for Computational Economics, vol. 48(2), pages 307-316, August.
    4. Marco Capasso & Tania Treibich & Bart Verspagen, 2015. "The medium-term effect of R&D on firm growth," Small Business Economics, Springer, vol. 45(1), pages 39-62, June.
    5. Stephan B. Bruns & Alessio Moneta & David I. Stern, 2019. "Estimating the Economy-Wide Rebound Effect Using Empirically Identified Structural Vector Autoregressions," LEM Papers Series 2019/27, Laboratory of Economics and Management (LEM), Sant'Anna School of Advanced Studies, Pisa, Italy.
    6. Bellmann, Lisa & Brixy, Udo, 2018. "Hiring by start-ups and regional labor supply," IAB-Discussion Paper 201818, Institut für Arbeitsmarkt- und Berufsforschung (IAB), Nürnberg [Institute for Employment Research, Nuremberg, Germany].
    7. Kim, Hyun Hak & Swanson, Norman R., 2018. "Mining big data using parsimonious factor, machine learning, variable selection and shrinkage methods," International Journal of Forecasting, Elsevier, vol. 34(2), pages 339-354.
    8. Mario Martinoli & Alessio Moneta & Gianluca Pallante, 2022. "Calibration and Validation of Macroeconomic Simulation Models by Statistical Causal Search," LEM Papers Series 2022/33, Laboratory of Economics and Management (LEM), Sant'Anna School of Advanced Studies, Pisa, Italy.
    9. Mattia Guerini & Alessio Moneta & Mauro Napoletano & Andrea Roventini, 2018. "The janus-faced nature of debt: results from a data-driven cointegrated svar approach," Post-Print hal-03471585, HAL.
    10. Giacomo Bormetti & Fulvio Corsi, 2021. "A Lucas Critique Compliant SVAR model with Observation-driven Time-varying Parameters," Papers 2107.05263, arXiv.org, revised Feb 2022.
    11. Huang, Wei & Lai, Pei-Chun & Bessler, David A., 2018. "On the changing structure among Chinese equity markets: Hong Kong, Shanghai, and Shenzhen," European Journal of Operational Research, Elsevier, vol. 264(3), pages 1020-1032.
    12. Moneta, Alessio & Pallante, Gianluca, 2022. "Identification of Structural VAR Models via Independent Component Analysis: A Performance Evaluation Study," Journal of Economic Dynamics and Control, Elsevier, vol. 144(C).
    13. Khan, Shakeeb & Maurel, Arnaud & Zhang, Yichong, 2020. "Informational Content of Factor Structures in Simultaneous Binary Response Models," IZA Discussion Papers 14008, Institute of Labor Economics (IZA).
    14. Jordi Brandts & Sabrine El Baroudi & Stefanie Huber & Christina Rott, 2022. "Gender Differences in Private and Public Goal Setting," Tinbergen Institute Discussion Papers 22-008/II, Tinbergen Institute.
    15. Alex Coad & Agustí Segarra-Blasco & Mercedes Teruel, 2021. "A bit of basic, a bit of applied? R&D strategies and firm performance," The Journal of Technology Transfer, Springer, vol. 46(6), pages 1758-1783, December.
    16. Adam Lee & Geert Mesters, 2021. "Locally Robust Inference for Non-Gaussian Linear Simultaneous Equations Models," Working Papers 1278, Barcelona School of Economics.
    17. Kerstin Bernoth & Helmut Herwartz, 2019. "Exchange Rates, Foreign Currency Exposure and Sovereign Risk," Discussion Papers of DIW Berlin 1792, DIW Berlin, German Institute for Economic Research.
    18. Sebastiano Michele Zema & Francesco Cordoni, 2023. "A non-Normal framework for price discovery: The independent component based information shares measure," LEM Papers Series 2023/03, Laboratory of Economics and Management (LEM), Sant'Anna School of Advanced Studies, Pisa, Italy.
    19. Alain Guay, 2020. "Identification of Structural Vector Autoregressions Through Higher Unconditional Moments," Working Papers 20-19, Chair in macroeconomics and forecasting, University of Quebec in Montreal's School of Management.
    20. Herwartz, Helmut & Lange, Alexander & Maxand, Simone, 2019. "Statistical identification in SVARs - Monte Carlo experiments and a comparative assessment of the role of economic uncertainties for the US business cycle," University of Göttingen Working Papers in Economics 375, University of Goettingen, Department of Economics.
    21. Guay, Alain, 2021. "Identification of structural vector autoregressions through higher unconditional moments," Journal of Econometrics, Elsevier, vol. 225(1), pages 27-46.
    22. Christian Gouriéroux & Alain Monfort & Jean-Paul Renne, 2016. "Statistical Inference for Independent Component Analysis: Application to Structural VAR Models," Working Papers 2016-20, Center for Research in Economics and Statistics.
    23. Tommaso Ferraresi & Andrea Roventini & Giorgio Fagiolo, 2013. "Fiscal Policies and Credit Regimes: A TVAR Approach," Working Papers 03/2013, University of Verona, Department of Economics.
    24. Alex Coad & Clemens Domnick & Florian Flachenecker & Peter Harasztosi & Mario Lorenzo Janiri & Rozalia Pal & Mercedes Teruel, 2022. "Capacity constraints as a trigger for high growth," Small Business Economics, Springer, vol. 59(3), pages 893-923, October.
    25. Ciarli, Tommaso & Coad, Alex & Moneta, Alessio, 2023. "Does exporting cause productivity growth? Evidence from Chilean firms," Structural Change and Economic Dynamics, Elsevier, vol. 66(C), pages 228-239.
    26. Taku Moriyama & Masashi Kuwano, 2022. "Causal inference for contemporaneous effects and its application to tourism product sales data," Journal of Marketing Analytics, Palgrave Macmillan, vol. 10(3), pages 250-260, September.
    27. Petrova, Katerina, 2022. "Asymptotically valid Bayesian inference in the presence of distributional misspecification in VAR models," Journal of Econometrics, Elsevier, vol. 230(1), pages 154-182.
    28. Chen, Junyi & Kibriya, Shahriar & Bessler, David & Price, Edwin, 2018. "The relationship between conflict events and commodity prices in Sudan," Journal of Policy Modeling, Elsevier, vol. 40(4), pages 663-684.
    29. Alex Coad & Martin Binder, 2014. "Causal Linkages between Work and Life Satisfaction and Their Determinants in a Structural VAR Approach," Economics Working Paper Archive wp_809, Levy Economics Institute.
    30. Thomas Brenner & Marco Capasso & Matthias Duschl & Koen Frenken & Tania Treibich, 2018. "Causal relations between knowledge-intensive business services and regional employment growth," Regional Studies, Taylor & Francis Journals, vol. 52(2), pages 172-183, February.
    31. Giorgio Fagiolo & Mattia Guerini & Francesco Lamperti & Alessio Moneta & Andrea Roventini, 2017. "Validation of Agent-Based Models in Economics and Finance," LEM Papers Series 2017/23, Laboratory of Economics and Management (LEM), Sant'Anna School of Advanced Studies, Pisa, Italy.
    32. Carolin Nast & Tom Broekel & Doris Entner, 2024. "Fueling the Fire? How Government Support Drives Technological Progress and Complexity," Papers in Evolutionary Economic Geography (PEEG) 2407, Utrecht University, Department of Human Geography and Spatial Planning, Group Economic Geography, revised Apr 2024.
    33. Marco Capasso & Alessio Moneta, 2016. "Macroeconomic responses to an independent monetary policy shock: a (more) agnostic identification procedure," LEM Papers Series 2016/36, Laboratory of Economics and Management (LEM), Sant'Anna School of Advanced Studies, Pisa, Italy.
    34. Li, Shu & Ernest, Jan & Bühlmann, Peter, 2017. "Nonparametric causal inference from observational time series through marginal integration," Econometrics and Statistics, Elsevier, vol. 2(C), pages 81-105.
    35. Jafari, Mahboubeh & Stern, David I. & Bruns, Stephan B., 2022. "How large is the economy-wide rebound effect in middle income countries? Evidence from Iran," Ecological Economics, Elsevier, vol. 193(C).
    36. Helmut Herwartz & Alexander Lange & Simone Maxand, 2022. "Data‐driven identification in SVARs—When and how can statistical characteristics be used to unravel causal relationships?," Economic Inquiry, Western Economic Association International, vol. 60(2), pages 668-693, April.
    37. Coad, Alexander & Bauer, Péter & Domnick, Clemens & Harasztosie, Péter & Pál, Rozália & Teruel, Mercedes, 2023. "Which European firms were hardest hit by COVID-19?," EIB Working Papers 2023/05, European Investment Bank (EIB).
    38. Dalheimer, Bernhard & Herwartz, Helmut & Lange, Alexander, 2021. "The threat of oil market turmoils to food price stability in Sub-Saharan Africa," Energy Economics, Elsevier, vol. 93(C).
    39. Lee, Sanghoon, 2014. "The relationship between growth and profit: evidence from firm-level panel data," Structural Change and Economic Dynamics, Elsevier, vol. 28(C), pages 1-11.
    40. Herwartz, Helmut & Maxand, Simone & Rohloff, Hannes, 2018. "Lean against the wind or float with the storm? Revisiting the monetary policy asset price nexus by means of a novel statistical identification approach," University of Göttingen Working Papers in Economics 354, University of Goettingen, Department of Economics.
    41. Coad, Alexander & Domnick, Clemens & Flachenecker, Florian & Harasztosi, Peter & Janiri, Mario Lorenzo & Pál, Rozália & Teruel Carrizosa, Mercedes, 2021. "Do capacity constraints trigger high growth for enterprises?," EIB Working Papers 2021/08, European Investment Bank (EIB).
    42. Guerini, Mattia & Moneta, Alessio, 2017. "A method for agent-based models validation," Journal of Economic Dynamics and Control, Elsevier, vol. 82(C), pages 125-141.
    43. Kerstin Bernoth & Helmut Herwartz & Lasse Trienens, 2024. "Interest Rates, Convenience Yields, and Inflation Expectations: Drivers of US Dollar Exchange Rates," Discussion Papers of DIW Berlin 2100, DIW Berlin, German Institute for Economic Research.
    44. Kerstin Bernoth & Helmut Herwartz & Lasse Trienens, 2023. "The Impacts of Global Risk and US Monetary Policy on US Dollar Exchange Rates and Excess Currency Returns," Discussion Papers of DIW Berlin 2037, DIW Berlin, German Institute for Economic Research.
    45. Gabriele Fiorentini & Enrique Sentana, 2020. "Discrete Mixtures of Normals Pseudo Maximum Likelihood Estimators of Structural Vector Autoregressions," Working Papers wp2020_2023, CEMFI.
    46. Alex Coad & Kristian Nielsen & Bram Timmermans, 2017. "My first employee: an empirical investigation," Small Business Economics, Springer, vol. 48(1), pages 25-45, January.
    47. Tommaso Ciarli & Alex Coad & Alessio Moneta, 2019. "Exporting and productivity as part of the growth process: Causal evidence from a data-driven structural VAR," LEM Papers Series 2019/39, Laboratory of Economics and Management (LEM), Sant'Anna School of Advanced Studies, Pisa, Italy.
    48. Helmut Herwartz & Alexander Lange, 2024. "How certain are we about the role of uncertainty in the economy?," Economic Inquiry, Western Economic Association International, vol. 62(1), pages 126-149, January.
    49. Alex Coad, 2022. "Lumps, Bumps and Jumps in the Firm Growth Process," Foundations and Trends(R) in Entrepreneurship, now publishers, vol. 18(4), pages 212-267, April.
    50. Cordoni, Francesco & Dorémus, Nicolas & Moneta, Alessio, 2024. "Identification of vector autoregressive models with nonlinear contemporaneous structure," Journal of Economic Dynamics and Control, Elsevier, vol. 162(C).
    51. Kalli, Maria & Griffin, Jim E., 2018. "Bayesian nonparametric vector autoregressive models," Journal of Econometrics, Elsevier, vol. 203(2), pages 267-282.
    52. Adam Lee & Geert Mesters, 2021. "Robust non-Gaussian inference for linear simultaneous equations models," Economics Working Papers 1792, Department of Economics and Business, Universitat Pompeu Fabra.
    53. Karamysheva, Madina & Skrobotov, Anton, 2022. "Do we reject restrictions identifying fiscal shocks? identification based on non-Gaussian innovations," Journal of Economic Dynamics and Control, Elsevier, vol. 138(C).
    54. Brancaccio, Emiliano & Califano, Andrea & Lopreite, Milena & Moneta, Alessio, 2020. "Nonperforming loans and competing rules of monetary policy: A statistical identification approach," Structural Change and Economic Dynamics, Elsevier, vol. 53(C), pages 127-136.
    55. Alexander Coad & Nicola Grassano, 2016. "Whos doing who? Growth of sales, employment, assets, profits and R&D entangled in a curious five-way love triangle," JRC Working Papers on Corporate R&D and Innovation 2016-03, Joint Research Centre.
    56. Alex Coad & Marc Cowling & Josh Siepel, 2017. "Growth processes of high-growth firms as a four-dimensional chicken and egg," Industrial and Corporate Change, Oxford University Press and the Associazione ICC, vol. 26(4), pages 537-554.
    57. Daniela Scidá, 2023. "Structural VAR and financial networks: A minimum distance approach to spatial modeling," Journal of Applied Econometrics, John Wiley & Sons, Ltd., vol. 38(1), pages 49-68, January.
    58. Takeshi Yoshihara & Taisei Kaizoji, 2022. "Mechanism of information transmission from a spot rate market to crypto-asset markets," Papers 2211.16176, arXiv.org.
    59. Lukas Hoesch & Adam Lee & Geert Mesters, 2022. "Robust inference for non-Gaussian SVAR models," Economics Working Papers 1847, Department of Economics and Business, Universitat Pompeu Fabra.
    60. Davis, Richard & Ng, Serena, 2023. "Time series estimation of the dynamic effects of disaster-type shocks," Journal of Econometrics, Elsevier, vol. 235(1), pages 180-201.
    61. Lukas Hoesch & Adam Lee & Geert Mesters, 2022. "Locally Robust Inference for Non-Gaussian SVAR Models," Working Papers 1367, Barcelona School of Economics.
    62. Matthias Duschl & Thomas Brenner, 2013. "Growth dynamics in regional systems of technological activities – A SVAR approach," Working Papers on Innovation and Space 2013-12, Philipps University Marburg, Department of Geography.
    63. Shuai Qin & Xiaolan Chen, 2023. "The role of entrepreneurship policy and culture in transitional routes from entrepreneurial intention to job creation: a moderated mediation model," SN Business & Economics, Springer, vol. 3(3), pages 1-25, March.
    64. Gabriele Fiorentini & Alessio Moneta & Francesca Papagni, 2024. "Identification of one independent shock in structural VARs," LEM Papers Series 2024/28, Laboratory of Economics and Management (LEM), Sant'Anna School of Advanced Studies, Pisa, Italy.
    65. Maxand, Simone, 2020. "Identification of independent structural shocks in the presence of multiple Gaussian components," Econometrics and Statistics, Elsevier, vol. 16(C), pages 55-68.
    66. Chen, Junyi & Kibriya, Shahriar & Bessler, David A. & Price, Edwin C., 2015. "A Causal Exploration of Food Price Shocks and Conflict in Sudan," 2015 AAEA & WAEA Joint Annual Meeting, July 26-28, San Francisco, California 202612, Agricultural and Applied Economics Association.
    67. Gabriele D'Acunto & Paolo Bajardi & Francesco Bonchi & Gianmarco De Francisci Morales, 2021. "The Evolving Causal Structure of Equity Risk Factors," Papers 2111.05072, arXiv.org.
    68. Zema, Sebastiano Michele, 2022. "Directed acyclic graph based information shares for price discovery," Journal of Economic Dynamics and Control, Elsevier, vol. 139(C).
    69. Xiaojie Xu & Yun Zhang, 2022. "Contemporaneous causality among one hundred Chinese cities," Empirical Economics, Springer, vol. 63(4), pages 2315-2329, October.
    70. Xiaojie Xu, 2017. "Contemporaneous causal orderings of US corn cash prices through directed acyclic graphs," Empirical Economics, Springer, vol. 52(2), pages 731-758, March.
    71. Helmut Herwartz, 2022. "Modelling interaction patterns in a predator-prey system of two freshwater organisms in discrete time: an identified structural VAR approach," Statistical Methods & Applications, Springer;Società Italiana di Statistica, vol. 31(1), pages 63-85, March.
    72. Giulio Ecchia & Francesca Gagliardi & Caterina Giannetti, 2018. "Social Investment and youth labour market participation: a EU regional analysis," Discussion Papers 2018/236, Dipartimento di Economia e Management (DEM), University of Pisa, Pisa, Italy.
    73. Markku Lanne & Mika Meitz & Pentti Saikkonen, 2015. "Identification and estimation of non-Gaussian structural vector autoregressions," CREATES Research Papers 2015-16, Department of Economics and Business Economics, Aarhus University.
    74. Alex Coad & Dominik Janzing & Paul Nightingale, 2018. "Tools for causal inference from cross-sectional innovation surveys with continuous or discrete variables: Theory and applications," Revista Cuadernos de Economia, Universidad Nacional de Colombia, FCE, CID, vol. 37(75), pages 779-808, March.
    75. Sebastiano Michele Zema, 2020. "Directed Acyclic Graph based Information Shares for Price Discovery," LEM Papers Series 2020/28, Laboratory of Economics and Management (LEM), Sant'Anna School of Advanced Studies, Pisa, Italy.
    76. Herwartz, Helmut & Plödt, Martin, 2016. "The macroeconomic effects of oil price shocks: Evidence from a statistical identification approach," Journal of International Money and Finance, Elsevier, vol. 61(C), pages 30-44.
    77. Chen, Junyi & Kibriya, Shahriar & Bessler, David & Price, Edwin, 2015. "A Causal Exploration of Conflict Events and Commodity Prices of Sudan," MPRA Paper 62461, University Library of Munich, Germany.
    78. Herwartz, Helmut & Wang, Shu, 2023. "Point estimation in sign-restricted SVARs based on independence criteria with an application to rational bubbles," Journal of Economic Dynamics and Control, Elsevier, vol. 151(C).

  17. Andreas Chai & Alessio Moneta, 2012. "Back to Engel? Some evidence for the hierarchy of needs," Journal of Evolutionary Economics, Springer, vol. 22(4), pages 649-676, September.
    See citations under working paper version above.
  18. Andreas Chai & Alessio Moneta, 2010. "Retrospectives: Engel Curves," Journal of Economic Perspectives, American Economic Association, vol. 24(1), pages 225-240, Winter.

    Cited by:

    1. Hamid Beladi & Sugata Marjit & Koushik Kumar Hati, 2024. "Growth impact of status seeking behavior: A counter example," Economics and Politics, Wiley Blackwell, vol. 36(1), pages 398-406, March.
    2. Leonhard K. Lades, 2012. "The impact of differential satiation dynamics on changing consumer behavior, wellbeing, and innovative activity," Papers on Economics and Evolution 2012-16, Philipps University Marburg, Department of Geography.
    3. Kaus, Wolfhard, 2013. "Beyond Engel's law - A cross-country analysis," Journal of Behavioral and Experimental Economics (formerly The Journal of Socio-Economics), Elsevier, vol. 47(C), pages 118-134.
    4. Javier Alejo & Antonio F. Galvao & Julian Martinez-Iriarte & Gabriel Montes-Rojas, 2023. "Unconditional Quantile Partial Effects via Conditional Quantile Regression," Papers 2301.07241, arXiv.org, revised Dec 2023.
    5. -, 2015. "La economía del cambio climático en América Latina y el Caribe: paradojas y desafíos del desarrollo sostenible," Libros y Documentos Institucionales, Naciones Unidas Comisión Económica para América Latina y el Caribe (CEPAL), number 37310 edited by Cepal.
    6. Bjarne Jensen & Paul Boer & Jan Daal & Peter Jensen, 2011. "Global restrictions on the parameters of the CDES indirect utility function," Journal of Economics, Springer, vol. 102(3), pages 217-235, April.
    7. Mun Ho & Wolfgang Britz & Ruth Delzeit & Florian Leblanc & Roberto Roson & Franziska Schuenemann & Matthias Weitzel, 2020. "Modelling Consumption and Constructing Long-Term Baselines in Final Demand," Journal of Global Economic Analysis, Center for Global Trade Analysis, Department of Agricultural Economics, Purdue University, vol. 5(1), pages 63-108, June.
    8. Avi J. Cohen & Ross B. Emmett, 2011. "Why and How to Teach the History of Economic Thought: Economics as Historically Produced Knowledge," Chapters, in: Gail M. Hoyt & KimMarie McGoldrick (ed.), International Handbook on Teaching and Learning Economics, chapter 52, Edward Elgar Publishing.
    9. Sologon, Denisa Maria & O'Donoghue, Cathal & Linden, Jules & Kyzyma, Iryna & Loughrey, Jason, 2022. "Welfare and Distributional Impact of Soaring Prices in Europe," IZA Discussion Papers 15738, Institute of Labor Economics (IZA).
    10. Armagan Tuna Aktuna-Gunes & Christophe Starzec & François Gardes, 2013. "A new estimation of the size of informal economy using monetary and full expenditures in a complete demand system," Post-Print halshs-00841346, HAL.
    11. von Hinke, Stephanie & Leckie, George, 2017. "Protecting energy intakes against income shocks," Journal of Economic Behavior & Organization, Elsevier, vol. 141(C), pages 210-232.
    12. Andreas Chai, 2017. "Tackling Keynes’ question: a look back on 15 years of Learning To Consume," Journal of Evolutionary Economics, Springer, vol. 27(2), pages 251-271, April.
    13. Elisabeth Christen & Klaus S. Friesenbichler & Alexander Hudetz & Claudia Kettner-Marx & Ina Meyer & Franz Sinabell, 2021. "Außenhandel und nachhaltige Entwicklung in Österreich. Befunde auf der Grundlage von vorliegenden Quellen," WIFO Studies, WIFO, number 69290.
    14. Marion Dupoux & Vincent Martinet, 2019. "Can the environment be an inferior good ? A theory with context-dependent substitutability and needs," Working Papers 2019.08, FAERE - French Association of Environmental and Resource Economists.
    15. Anaïs Carlin & Sébastien Verel & Philippe Collard, 2013. "Modeling Luxury Consumption: An Inter-Income Classes Study of Demand Dynamics and Social Behaviors," Post-Print hal-01288725, HAL.
    16. Ulrich Witt, 2011. "Sustainability and the Problem of Consumption," Papers on Economics and Evolution 2011-16, Philipps University Marburg, Department of Geography.
    17. Alan C. Monheit, 2022. "Perspectives article: income inequality, health, and household welfare," Review of Economics of the Household, Springer, vol. 20(1), pages 37-55, March.
    18. Philip Caju & Guillaume Périlleux & François Rycx & Ilan Tojerow, 2023. "A bigger house at the cost of an empty stomach? The effect of households’ indebtedness on their consumption: micro-evidence using Belgian HFCS data," Review of Economics of the Household, Springer, vol. 21(1), pages 291-333, March.
    19. Baffes, John & Kabundi, Alain, 2024. "Do supercycles dominate commodity price movements?," Economics Letters, Elsevier, vol. 237(C).
    20. Andreas Chai & Alessio Moneta, 2011. "Back to Engel? Some evidence for the hierarchy of needs," Papers on Economics and Evolution 2011-13, Philipps University Marburg, Department of Geography.
    21. Pier-Paolo Saviotti & Andreas Pyka & Bogang Jun, 2016. "Education, structural change and economic development," Post-Print hal-02097591, HAL.
    22. Pier-Paolo Saviotti & Andreas Pyka, 2017. "Innovation, structural change and demand evolution: does demand saturate?," Journal of Evolutionary Economics, Springer, vol. 27(2), pages 337-358, April.
    23. Pier-Paolo Saviotti & Andreas Pyka¤ & Bogang Jun, 2020. "Diversification, structural change, and economic development," Journal of Evolutionary Economics, Springer, vol. 30(5), pages 1301-1335, November.
    24. Rengs, Bernhard & Scholz-Wäckerle, Manuel & van den Bergh, Jeroen, 2020. "Evolutionary macroeconomic assessment of employment and innovation impacts of climate policy packages," Journal of Economic Behavior & Organization, Elsevier, vol. 169(C), pages 332-368.
    25. Alatorre, José Eduardo & Peres Núñez, Wilson & Bárcena Ibarra, Alicia & Samaniego, Joseluis, 2020. "The climate emergency in Latin America and the Caribbean: The path ahead – resignation or action?," Libros de la CEPAL, Naciones Unidas Comisión Económica para América Latina y el Caribe (CEPAL), number 45678 edited by Eclac, May.
    26. Fouquet, Roger, 2014. "Long run demand for energy services: income and price elasticities over two hundred years," LSE Research Online Documents on Economics 59070, London School of Economics and Political Science, LSE Library.
    27. Yoshinori Shiozawa, 2020. "A new framework for analyzing technological change," Journal of Evolutionary Economics, Springer, vol. 30(4), pages 989-1034, September.
    28. Roger Fouquet, 2013. "Long Run Demand for Energy Services: the Role of Economic and Technological Development," Working Papers 2013-03, BC3.
    29. Chavas, Jean-Paul, 2017. "On food security and the economic valuation of food," Food Policy, Elsevier, vol. 69(C), pages 58-67.
    30. Fuad A Awwad & Suzan Abdel-Rahman & Mohamed R Abonazel, 2021. "Estimating equivalence scales and non-food needs in Egypt: Parametric and semiparametric regression modeling," PLOS ONE, Public Library of Science, vol. 16(8), pages 1-26, August.
    31. Armagan Tuna Aktuna-Gunes, 2015. "Measuring the effect of informal work and domestic activities on poverty and income inequality in Turkey," Documents de travail du Centre d'Economie de la Sorbonne 15017, Université Panthéon-Sorbonne (Paris 1), Centre d'Economie de la Sorbonne.
    32. Muhammad Shafiullah & Zhilun Jiao & Muhammad Shahbaz & Kangyin Dong, 2023. "Examining energy poverty in Chinese households: An Engel curve approach," Australian Economic Papers, Wiley Blackwell, vol. 62(1), pages 149-184, March.
    33. Ivan K. Cohen & Fabrizio Ferretti & Bryan McIntosh & Caroline Elliott, 2015. "A simple framework for analysing the impact of economic growth on non-communicable diseases," Cogent Economics & Finance, Taylor & Francis Journals, vol. 3(1), pages 1045215-104, December.
    34. Rengs, Bernhard & Scholz-Waeckerle, Manuel, 2017. "Consumption & Class in Evolutionary Macroeconomics," MPRA Paper 80021, University Library of Munich, Germany.
    35. Barigozzi, Matteo & Moneta, Alessio, 2016. "Identifying the independent sources of consumption variation," LSE Research Online Documents on Economics 60979, London School of Economics and Political Science, LSE Library.
    36. Barigozzi, Matteo & Alessi, Lucia & Capasso, Marco & Fagiolo, Giorgio, 2012. "The distribution of household consumption-expenditure budget shares," Structural Change and Economic Dynamics, Elsevier, vol. 23(1), pages 69-91.
    37. Armagan Tuna Aktuna-Gunes & Christophe Starzec & François Gardes, 2013. "A new estimation of the size of informal economy using monetary and full expenditures in a complete demand system," Université Paris1 Panthéon-Sorbonne (Post-Print and Working Papers) halshs-00841346, HAL.
    38. Bernhard Rengs & Manuel Scholz-Wäckerle, 2019. "Consumption & class in evolutionary macroeconomics," Journal of Evolutionary Economics, Springer, vol. 29(1), pages 229-263, March.
    39. Menggen Chen, 2022. "Engel’s law in China: Some new evidence," Review of Development Economics, Wiley Blackwell, vol. 26(3), pages 1640-1662, August.
    40. Nicholas Oulton, 2011. "The Wealth and Poverty of Nations: True PPPs for 141 Countries," CEP Discussion Papers dp1080, Centre for Economic Performance, LSE.
    41. -, 2014. "La economía del cambio climático en América Latina y el Caribe: paradojas y desafíos. Síntesis 2014," Sede de la CEPAL en Santiago (Estudios e Investigaciones) 37471, Naciones Unidas Comisión Económica para América Latina y el Caribe (CEPAL).
    42. Leonhard Lades, 2013. "Explaining shapes of Engel curves: the impact of differential satiation dynamics on consumer behavior," Journal of Evolutionary Economics, Springer, vol. 23(5), pages 1023-1045, November.
    43. Andreas Chai, 2018. "Household consumption patterns and the sectoral composition of growing economies: A review of the interlinkages," Discussion Papers in Economics economics:201802, Griffith University, Department of Accounting, Finance and Economics.
    44. Andreas Chai & Nicholas Rohde & Jacques Silber, 2015. "Measuring The Diversity Of Household Spending Patterns," Journal of Economic Surveys, Wiley Blackwell, vol. 29(3), pages 423-440, July.
    45. Calijuri, Mónica & Pessino, Carola & López-Luzuriaga, Andrea & Schächtele, Simeon & González, Ubaldo & Chamorro, Carla, 2023. "Detecting Envelope Wages with E-billing Information," IDB Publications (Working Papers) 12912, Inter-American Development Bank.
    46. Stephanie von Hinke & George Leckie, 2017. "Protecting Calorie Intakes against Income Shocks," Bristol Economics Discussion Papers 17/684, School of Economics, University of Bristol, UK.
    47. Marion Dupoux & Vincent Martinet, 2022. "Could the environment be a normal good for you and an inferior good for me? A theory of context-dependent substitutability and needs [L'environnement pourrait-il être un bien normal pour vous et un," Post-Print hal-03693920, HAL.
    48. Neagu Mădălin-Ioan & Teodoru Mircea Constantin, 2017. "Testing the Engel's law in the consumption pattern of Romanian population," Studia Universitatis „Vasile Goldis” Arad – Economics Series, Sciendo, vol. 27(3), pages 33-53, September.
    49. Wifo, 2018. "WIFO-Monatsberichte, Heft 9/2018," WIFO Monatsberichte (monthly reports), WIFO, vol. 91(9), September.
    50. Armagan Tuna Aktuna-Gunes, 2015. "Measuring the effect of informal work and domestic activities on poverty and income inequality in Turkey," Université Paris1 Panthéon-Sorbonne (Post-Print and Working Papers) halshs-01160532, HAL.
    51. Ulrich Witt, 2017. "The evolution of consumption and its welfare effects," Journal of Evolutionary Economics, Springer, vol. 27(2), pages 273-293, April.
    52. Chai Andreas & Moneta Alessio, 2014. "Escaping Satiation Dynamics: Some Evidence from British Household Data," Journal of Economics and Statistics (Jahrbuecher fuer Nationaloekonomie und Statistik), De Gruyter, vol. 234(2-3), pages 299-327, April.
    53. Jason Potts, 2017. "Institutions hold consumption on a leash: an evolutionary economic approach to the future of consumption," Journal of Evolutionary Economics, Springer, vol. 27(2), pages 239-250, April.
    54. Wolfhard Kaus, 2012. "Beyond Engel s Law - Pursuing an Engelian Approach to Welfare A Cross Country Analysis," Jena Economics Research Papers 2012-028, Friedrich-Schiller-University Jena.
    55. Armagan Tuna Aktuna-Gunes, 2015. "Measuring the effect of informal work and domestic activities on poverty and income inequality in Turkey," Post-Print halshs-01160532, HAL.
    56. -, 2014. "The economics of climate change in Latin America and the Caribbean: Paradoxes and challenges. Overview for 2014," Sede de la CEPAL en Santiago (Estudios e Investigaciones) 37056, Naciones Unidas Comisión Económica para América Latina y el Caribe (CEPAL).
    57. Yanyan Huang & Fuzhong Chen, 2022. "The Impact of Household Debt on Food Expenditure and Its Mechanism in Urban China," Journal of Family and Economic Issues, Springer, vol. 43(3), pages 466-475, September.
    58. Erling Røed Larsen, 2014. "Is the Engel curve approach viable in the estimation of alternative PPPs?," Empirical Economics, Springer, vol. 47(3), pages 881-904, November.
    59. Klaus Friesenbichler & Christian Glocker & Gerhard Streicher, 2018. "Der Binnenmarkt und die "EU der unterschiedlichen Geschwindigkeiten"," WIFO Monatsberichte (monthly reports), WIFO, vol. 91(9), pages 663-673, September.
    60. Hamid Beladi & Sugata Marjit & Reza Oladi & Lei Yang, 2021. "Malnutrition in the shadow of economic growth," Review of Development Economics, Wiley Blackwell, vol. 25(1), pages 500-514, February.
    61. Debbie L Humphries & Jere R Behrman & Benjamin T Crookston & Kirk A Dearden & Whitney Schott & Mary E Penny & on behalf of the Young Lives Determinants and Consequences of Child Growth Project Team, 2014. "Households across All Income Quintiles, Especially the Poorest, Increased Animal Source Food Expenditures Substantially during Recent Peruvian Economic Growth," PLOS ONE, Public Library of Science, vol. 9(11), pages 1-13, November.
    62. Katie Brown & Scott W. Campbell & Rich Ling, 2011. "Mobile Phones Bridging the Digital Divide for Teens in the US?," Future Internet, MDPI, vol. 3(2), pages 1-15, May.
    63. Liqiong Chen & Antonio F. Galvao & Suyong Song, 2021. "Quantile Regression with Generated Regressors," Econometrics, MDPI, vol. 9(2), pages 1-35, April.

  19. Andreas Chai & Alessio Moneta, 2009. "Comparing shapes of engel curves," Economics Bulletin, AccessEcon, vol. 29(2), pages 1156-1162.
    See citations under working paper version above.
  20. Alessio Moneta, 2008. "Graphical causal models and VARs: an empirical assessment of the real business cycles hypothesis," Empirical Economics, Springer, vol. 35(2), pages 275-300, September.

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    1. Stephan B. Bruns & Alessio Moneta & David I. Stern, 2019. "Estimating the Economy-Wide Rebound Effect Using Empirically Identified Structural Vector Autoregressions," LEM Papers Series 2019/27, Laboratory of Economics and Management (LEM), Sant'Anna School of Advanced Studies, Pisa, Italy.
    2. Andrew Rettenmaier & Zijun Wang, 2013. "What determines health: a causal analysis using county level data," The European Journal of Health Economics, Springer;Deutsche Gesellschaft für Gesundheitsökonomie (DGGÖ), vol. 14(5), pages 821-834, October.
    3. Mattia Guerini & Alessio Moneta & Mauro Napoletano & Andrea Roventini, 2018. "The janus-faced nature of debt: results from a data-driven cointegrated svar approach," Post-Print hal-03471585, HAL.
    4. Arefiev, Nikolay & Khabibullin, Ramis, 2018. "Bayesian identification of structural vector autoregression models," Applied Econometrics, Russian Presidential Academy of National Economy and Public Administration (RANEPA), vol. 49, pages 115-142.
    5. Randal J. Verbrugge & Saeed Zaman, 2023. "The Hard Road to a Soft Landing: Evidence from a (Modestly) Nonlinear Structural Model," Working Papers 23-03, Federal Reserve Bank of Cleveland.
    6. Ahelegbey, Daniel Felix, 2015. "The Econometrics of Bayesian Graphical Models: A Review With Financial Application," MPRA Paper 92634, University Library of Munich, Germany, revised 25 Apr 2016.
    7. Tommaso Ferraresi & Andrea Roventini & Giorgio Fagiolo, 2013. "Fiscal Policies and Credit Regimes: A TVAR Approach," Working Papers 03/2013, University of Verona, Department of Economics.
    8. Daniel Felix Ahelegbey & Monica Billio & Roberto Casarin, 2016. "Sparse Graphical Vector Autoregression: A Bayesian Approach," Annals of Economics and Statistics, GENES, issue 123-124, pages 333-361.
    9. Alessio Moneta & Doris Entner & Patrik O. Hoyer & Alex Coad, 2013. "Causal Inference by Independent Component Analysis: Theory and Applications," Oxford Bulletin of Economics and Statistics, Department of Economics, University of Oxford, vol. 75(5), pages 705-730, October.
    10. Piyachart Phiromswad, 2014. "Measuring monetary policy with empirically grounded identifying restrictions," Empirical Economics, Springer, vol. 46(2), pages 681-699, March.
    11. Marco Capasso & Alessio Moneta, 2016. "Macroeconomic responses to an independent monetary policy shock: a (more) agnostic identification procedure," LEM Papers Series 2016/36, Laboratory of Economics and Management (LEM), Sant'Anna School of Advanced Studies, Pisa, Italy.
    12. Guerini, Mattia & Moneta, Alessio, 2017. "A method for agent-based models validation," Journal of Economic Dynamics and Control, Elsevier, vol. 82(C), pages 125-141.
    13. Daniel Felix Ahelegbey & Monica Billio & Roberto Casarin, 2012. "Bayesian Graphical Models for Structural Vector Autoregressive Processes," Working Papers 2012:36, Department of Economics, University of Venice "Ca' Foscari".
    14. Cordoni, Francesco & Dorémus, Nicolas & Moneta, Alessio, 2024. "Identification of vector autoregressive models with nonlinear contemporaneous structure," Journal of Economic Dynamics and Control, Elsevier, vol. 162(C).
    15. Wang, Zijun, 2012. "The causal structure of bond yields," The Quarterly Review of Economics and Finance, Elsevier, vol. 52(1), pages 93-102.
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    17. Randal J. Verbrugge & Saeed Zaman, 2023. "Post-COVID Inflation Dynamics: Higher for Longer," Working Papers 23-06R, Federal Reserve Bank of Cleveland, revised 20 Jun 2023.
    18. Daniela Scidá, 2023. "Structural VAR and financial networks: A minimum distance approach to spatial modeling," Journal of Applied Econometrics, John Wiley & Sons, Ltd., vol. 38(1), pages 49-68, January.
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    20. Wongboonsin, Kua & Phiromswad, Piyachart, 2017. "Searching for empirical linkages between demographic structure and economic growth," Economic Modelling, Elsevier, vol. 60(C), pages 364-379.
    21. Gao, Wei & Zhao, Hongxia, 2013. "Conditional independence graph for nonlinear time series and its application to international financial markets," Physica A: Statistical Mechanics and its Applications, Elsevier, vol. 392(10), pages 2460-2469.
    22. Alex Coad & Dominik Janzing & Paul Nightingale, 2018. "Tools for causal inference from cross-sectional innovation surveys with continuous or discrete variables: Theory and applications," Revista Cuadernos de Economia, Universidad Nacional de Colombia, FCE, CID, vol. 37(75), pages 779-808, March.
    23. Daniel Felix Ahelegbey, 2015. "The Econometrics of Networks: A Review," Working Papers 2015:13, Department of Economics, University of Venice "Ca' Foscari".

  21. Giorgio Fagiolo & Alessio Moneta & Paul Windrum, 2007. "A Critical Guide to Empirical Validation of Agent-Based Models in Economics: Methodologies, Procedures, and Open Problems," Computational Economics, Springer;Society for Computational Economics, vol. 30(3), pages 195-226, October.

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    2. Aßmuth, Pascal, 2015. "Stock price related financial fragility and growth patterns," Center for Mathematical Economics Working Papers 539, Center for Mathematical Economics, Bielefeld University.
    3. Zakaria Babutsidze, 2012. "Consumer Learning through Interaction: Effects on Aggregate Outcomes," SciencePo Working papers Main halshs-01926912, HAL.
    4. Gérard Ballot & Antoine Mandel & Annick Vignes, 2015. "Agent-based modeling and economic theory: where do we stand?," PSE-Ecole d'économie de Paris (Postprint) halshs-01296643, HAL.
    5. Ernesto Carrella & Richard M. Bailey & Jens Koed Madsen, 2018. "Indirect inference through prediction," Papers 1807.01579, arXiv.org.
    6. Seri, Raffaello & Martinoli, Mario & Secchi, Davide & Centorrino, Samuele, 2021. "Model calibration and validation via confidence sets," Econometrics and Statistics, Elsevier, vol. 20(C), pages 62-86.
    7. Otto, C. & Willner, S.N. & Wenz, L. & Frieler, K. & Levermann, A., 2017. "Modeling loss-propagation in the global supply network: The dynamic agent-based model acclimate," Journal of Economic Dynamics and Control, Elsevier, vol. 83(C), pages 232-269.
    8. Filip Stanek & Jiri Kukacka, 2018. "The Impact of the Tobin Tax in a Heterogeneous Agent Model of the Foreign Exchange Market," Computational Economics, Springer;Society for Computational Economics, vol. 51(4), pages 865-892, April.
    9. Petra HLAVÁČKOVÁ & Hana SLOVÁČKOVÁ & David BŘEZINA & Jakub MICHAL, 2018. "Comparison of results of visitor arrival monitoring using regression analysis," Journal of Forest Science, Czech Academy of Agricultural Sciences, vol. 64(7), pages 303-312.
    10. Christian Stummer & Lars Lüpke & Markus Günther, 2021. "Beaming market simulation to the future by combining agent-based modeling with scenario analysis," Journal of Business Economics, Springer, vol. 91(9), pages 1469-1497, November.
    11. Gianluca Manzo & Delia Baldassarri, 2015. "Heuristics, Interactions, and Status Hierarchies," Sociological Methods & Research, , vol. 44(2), pages 329-387, May.
    12. Sylvain Barde, 2015. "A Practical, Universal, Information Criterion over Nth Order Markov Processes," Studies in Economics 1504, School of Economics, University of Kent.
    13. Benjamin Cabrera & Björn Ross & Daniel Röchert & Felix Brünker & Stefan Stieglitz, 2021. "The influence of community structure on opinion expression: an agent-based model," Journal of Business Economics, Springer, vol. 91(9), pages 1331-1355, November.
    14. Giovanni Dosi & Giorgio Fagiolo & Mauro Napoletano & Andrea Roventini, 2012. "Economic Policies with Endogenous Innovation and Keynesian Demand Management," Post-Print hal-01410703, HAL.
    15. Palmer, J. & Sorda, G. & Madlener, R., 2015. "Modeling the diffusion of residential photovoltaic systems in Italy: An agent-based simulation," Technological Forecasting and Social Change, Elsevier, vol. 99(C), pages 106-131.
    16. Mouchart, M. & Wunsch, G. & Russo, F., 2015. "The issue of control in multivariate systems A contribution of structural modelling," LIDAM Discussion Papers CORE 2015029, Université catholique de Louvain, Center for Operations Research and Econometrics (CORE).
    17. Pavlović, Boban & Ivezić, Dejan & Živković, Marija, 2022. "Transition pathways of household heating in Serbia: Analysis based on an agent-based model," Renewable and Sustainable Energy Reviews, Elsevier, vol. 163(C).
    18. Mercedes Bleda & Simon Shackley, 2012. "Simulation Modelling as a Theory Building Tool: The Formation of Risk Perceptions," Journal of Artificial Societies and Social Simulation, Journal of Artificial Societies and Social Simulation, vol. 15(2), pages 1-2.
    19. Matus Halas, 2018. "Balancing Against Threats In Interactions Determined By Distance And Overall Gains," Advances in Complex Systems (ACS), World Scientific Publishing Co. Pte. Ltd., vol. 21(05), pages 1-22, August.
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    21. Bauermann, Tom, 2020. "Governmental policies to reduce unemployment during recessions: Insights from an ABM," Ruhr Economic Papers 847, RWI - Leibniz-Institut für Wirtschaftsforschung, Ruhr-University Bochum, TU Dortmund University, University of Duisburg-Essen.
    22. Papadopoulos, Georgios, 2019. "Income inequality, consumption, credit and credit risk in a data-driven agent-based model," Journal of Economic Dynamics and Control, Elsevier, vol. 104(C), pages 39-73.
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    26. Sebastiaan Tieleman, 2022. "Towards a Validation Methodology for Macroeconomic Agent-Based Models," Computational Economics, Springer;Society for Computational Economics, vol. 60(4), pages 1507-1527, December.
    27. Sylvain Barde & Ofce Observatoire Français Des Conjonctures Économiques, 2016. "Direct comparison of agent-based models of herding in financial markets," Post-Print hal-03604749, HAL.
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    31. Kukacka, Jiri & Kristoufek, Ladislav, 2021. "Does parameterization affect the complexity of agent-based models?," Journal of Economic Behavior & Organization, Elsevier, vol. 192(C), pages 324-356.
    32. Juan Manuel Larrosa, 2016. "Agentes computacionales y análisis económico," Revista de Economía Institucional, Universidad Externado de Colombia - Facultad de Economía, vol. 18(34), pages 87-113, January-J.
    33. Giorgio Fagiolo & Andrea Roventini, 2012. "Macroeconomic Policy in DSGE and Agent-Based Models," Working Papers hal-04141079, HAL.
    34. Baillie, Sarah & Kaye-Blake, William & Smale, Paul & Dennis, Samuel, 2016. "Simulation modelling to investigate nutrient loss mitigation practices," Agricultural Water Management, Elsevier, vol. 177(C), pages 221-228.
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    37. Krug, Sebastian, 2018. "The interaction between monetary and macroprudential policy: Should central banks 'lean against the wind' to foster macro-financial stability?," Economics - The Open-Access, Open-Assessment E-Journal (2007-2020), Kiel Institute for the World Economy (IfW Kiel), vol. 12, pages 1-69.
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    42. Aldo Glielmo & Marco Favorito & Debmallya Chanda & Domenico Delli Gatti, 2023. "Reinforcement Learning for Combining Search Methods in the Calibration of Economic ABMs," Papers 2302.11835, arXiv.org, revised Dec 2023.
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    45. Brouillat, Eric & Saint Jean, Maïder, 2020. "Mind the gap: Investigating the impact of implementation gaps on cleaner technology transition," Technological Forecasting and Social Change, Elsevier, vol. 158(C).
    46. Sander Hoog, 2019. "Surrogate Modelling in (and of) Agent-Based Models: A Prospectus," Computational Economics, Springer;Society for Computational Economics, vol. 53(3), pages 1245-1263, March.
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    56. Jiang, Guoyin & Shang, Jennifer & Liu, Wenping & Feng, Xiaodong & Lei, Junli, 2020. "Modeling the dynamics of online review life cycle: Role of social and economic moderations," European Journal of Operational Research, Elsevier, vol. 285(1), pages 360-379.
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    81. Roberto Fontana & Lorenzo Zirulia, 2015. "“…then came Cisco, and the rest is history”: a ‘history friendly’ model of the Local Area Networking industry," Journal of Evolutionary Economics, Springer, vol. 25(5), pages 875-899, November.
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  22. Paul Windrum & Giorgio Fagiolo & Alessio Moneta, 2007. "Empirical Validation of Agent-Based Models: Alternatives and Prospects," Journal of Artificial Societies and Social Simulation, Journal of Artificial Societies and Social Simulation, vol. 10(2), pages 1-8.

    Cited by:

    1. Sun, Junjie & Tesfatsion, Leigh S., 2006. "Dynamic Testing of Wholesale Power Market Designs: An Open-Source Agent-Based Framework," Staff General Research Papers Archive 12649, Iowa State University, Department of Economics.
    2. Gianluca Pallante & Mattia Guerini & Mauro Napoletano & Andrea Roventini, 2024. "Robust-less-fragile: Tackling Systemic Risk and Financial Contagion in a Macro Agent-Based Model," GREDEG Working Papers 2024-10, Groupe de REcherche en Droit, Economie, Gestion (GREDEG CNRS), Université Côte d'Azur, France.
    3. Giovanni Dosi & Francesco Lamperti & Mariana Mazzucato & Mauro Napoletano & Andrea Roventini, 2021. "Mission-Oriented Policies and the "Entrepreneurial State" at Work: An Agent-Based Exploration," GREDEG Working Papers 2021-25, Groupe de REcherche en Droit, Economie, Gestion (GREDEG CNRS), Université Côte d'Azur, France.
    4. Carrella, Ernesto & Saul, Steven & Marshall, Kristin & Burgess, Matthew G. & Cabral, Reniel B. & Bailey, Richard M. & Dorsett, Chris & Drexler, Michael & Madsen, Jens Koed & Merkl, Andreas, 2020. "Simple Adaptive Rules Describe Fishing Behaviour Better than Perfect Rationality in the US West Coast Groundfish Fishery," Ecological Economics, Elsevier, vol. 169(C).
    5. Imre Kondor & Istv'an Csabai & G'abor Papp & Enys Mones & G'abor Czimbalmos & M'at'e Csaba S'andor, 2012. "Strong random correlations in networks of heterogeneous agents," Papers 1210.3324, arXiv.org, revised Feb 2014.
    6. Viktoriya V. Akberdina & Andrey F. Shorikov, 2022. "Managing industrial complexes: A hierarchical agent-oriented model," Upravlenets, Ural State University of Economics, vol. 13(6), pages 2-14, January.
    7. Sandrine Jacob Leal & Mauro Napoletano & Andrea Roventini & Giorgio Fagiolo, 2016. "Rock around the clock: An agent-based model of low- and high-frequency trading," Journal of Evolutionary Economics, Springer, vol. 26(1), pages 49-76, March.
    8. Francesco Lamperti & Valentina Bosetti & Andrea Roventini & Massimo Tavoni & Tania Treibich, 2021. "Three green financial policies to address climate risks," Post-Print hal-04103920, HAL.
    9. Seri, Raffaello & Martinoli, Mario & Secchi, Davide & Centorrino, Samuele, 2021. "Model calibration and validation via confidence sets," Econometrics and Statistics, Elsevier, vol. 20(C), pages 62-86.
    10. Ngo-Hoang, Dai-Long, 2019. "A research paper of Hossein Sabzian (2019), Theories and Practice of Agent based Modeling: Some practical Implications for Economic Planners, ArXiv, 54p," AgriXiv xutyz, Center for Open Science.
    11. Pascal Seppecher & Isabelle Salle, 2015. "Deleveraging crises and deep recessions: a behavioural approach," Applied Economics, Taylor & Francis Journals, vol. 47(34-35), pages 3771-3790, July.
    12. Francesco Lamperti & Andrea Roventini & Amir Sani, 2017. "Agent-Based Model Calibration using Machine Learning Surrogates," Papers 1703.10639, arXiv.org, revised Apr 2017.
    13. Glismann, Samuel, 2021. "Ancillary Services Acquisition Model: Considering market interactions in policy design," Applied Energy, Elsevier, vol. 304(C).
    14. Francesco Lamperti & Giovanni Dosi & Mauro Napoletano & Andrea Roventini & Alessandro Sapio, 2018. "And then he wasn't a she : Climate change and green transitions in an agent-based integrated assessment model," SciencePo Working papers Main hal-03443464, HAL.
    15. Dosi, Giovanni & Palagi, Elisa & Roventini, Andrea & Russo, Emanuele, 2023. "Do patents really foster innovation in the pharmaceutical sector? Results from an evolutionary, agent-based model," Journal of Economic Behavior & Organization, Elsevier, vol. 212(C), pages 564-589.
    16. Mattia Guerini & Francesco Lamperti & Mauro Napoletano & Andrea Roventini & Tania Treibich, 2022. "Unconventional monetary policies in an agent-based model with mark-to-market standards," Review of Evolutionary Political Economy, Springer, vol. 3(1), pages 73-107, April.
    17. Tyrowicz, Joanna & Makarski, Krzysztof & Bielecki, Marcin, 2018. "Inequality in an OLG Economy with Heterogeneous Cohorts and Pension Systems," IZA Discussion Papers 11621, Institute of Labor Economics (IZA).
    18. Leal, Sandrine Jacob & Napoletano, Mauro, 2019. "Market stability vs. market resilience: Regulatory policies experiments in an agent-based model with low- and high-frequency trading," Journal of Economic Behavior & Organization, Elsevier, vol. 157(C), pages 15-41.
    19. Mario Martinoli & Alessio Moneta & Gianluca Pallante, 2022. "Calibration and Validation of Macroeconomic Simulation Models by Statistical Causal Search," LEM Papers Series 2022/33, Laboratory of Economics and Management (LEM), Sant'Anna School of Advanced Studies, Pisa, Italy.
    20. Bianchi, Carlo & Cirillo, Pasquale & Gallegati, Mauro & Vagliasindi, Pietro A., 2008. "Validation in agent-based models: An investigation on the CATS model," Journal of Economic Behavior & Organization, Elsevier, vol. 67(3-4), pages 947-964, September.
    21. Garavaglia, Christian, 2010. "Modelling industrial dynamics with "History-friendly" simulations," Structural Change and Economic Dynamics, Elsevier, vol. 21(4), pages 258-275, November.
    22. Martin Neumann, 2010. "Norm Internalisation in Human and Artificial Intelligence," Journal of Artificial Societies and Social Simulation, Journal of Artificial Societies and Social Simulation, vol. 13(1), pages 1-12.
    23. Kukacka, Jiri & Jang, Tae-Seok & Sacht, Stephen, 2018. "On the estimation of behavioral macroeconomic models via simulated maximum likelihood," Economics Working Papers 2018-11, Christian-Albrechts-University of Kiel, Department of Economics.
    24. Huotari, Pontus & Järvi, Kati & Kortelainen, Samuli & Huhtamäki, Jukka, 2017. "Winner does not take all: Selective attention and local bias in platform-based markets," Technological Forecasting and Social Change, Elsevier, vol. 114(C), pages 313-326.
    25. Sebastiaan Tieleman, 2022. "Towards a Validation Methodology for Macroeconomic Agent-Based Models," Computational Economics, Springer;Society for Computational Economics, vol. 60(4), pages 1507-1527, December.
    26. Bert, Federico E. & Rovere, Santiago L. & Macal, Charles M. & North, Michael J. & Podestá, Guillermo P., 2014. "Lessons from a comprehensive validation of an agent based-model: The experience of the Pampas Model of Argentinean agricultural systems," Ecological Modelling, Elsevier, vol. 273(C), pages 284-298.
    27. Jakob Grazzini, 2011. "Consistent Estimation of Agent Based Models," LABORatorio R. Revelli Working Papers Series 110, LABORatorio R. Revelli, Centre for Employment Studies.
    28. Kukacka, Jiri & Kristoufek, Ladislav, 2021. "Does parameterization affect the complexity of agent-based models?," Journal of Economic Behavior & Organization, Elsevier, vol. 192(C), pages 324-356.
    29. Juan Manuel Larrosa, 2016. "Agentes computacionales y análisis económico," Revista de Economía Institucional, Universidad Externado de Colombia - Facultad de Economía, vol. 18(34), pages 87-113, January-J.
    30. D. Sornette, 2014. "Physics and Financial Economics (1776-2014): Puzzles, Ising and Agent-Based models," Papers 1404.0243, arXiv.org.
    31. Vandin, Andrea & Giachini, Daniele & Lamperti, Francesco & Chiaromonte, Francesca, 2022. "Automated and distributed statistical analysis of economic agent-based models," Journal of Economic Dynamics and Control, Elsevier, vol. 143(C).
    32. Li, Y. & Donkers, A.C.D. & Melenberg, B., 2006. "The Econometric Analysis of Microscopic Simulation Models," Discussion Paper 2006-99, Tilburg University, Center for Economic Research.
    33. Christopher J Lynch & Saikou Y Diallo & Hamdi Kavak & Jose J Padilla, 2020. "A content analysis-based approach to explore simulation verification and identify its current challenges," PLOS ONE, Public Library of Science, vol. 15(5), pages 1-33, May.
    34. Guus ten Broeke & Hilde Tobi, 2021. "Mapping validity and validation in modelling for interdisciplinary research," Quality & Quantity: International Journal of Methodology, Springer, vol. 55(5), pages 1613-1630, October.
    35. Faber, Albert & Valente, Marco & Janssen, Peter, 2010. "Exploring domestic micro-cogeneration in the Netherlands: An agent-based demand model for technology diffusion," Energy Policy, Elsevier, vol. 38(6), pages 2763-2775, June.
    36. Domenico Delli Gatti & Tommaso Ferraresi & Filippo Gusella & Lilit Popoyan & Giorgio Ricchiuti & Andrea Roventini, 2024. "The complex interplay between exchange rate and real markets: an agent-based model exploration," LEM Papers Series 2024/24, Laboratory of Economics and Management (LEM), Sant'Anna School of Advanced Studies, Pisa, Italy.
    37. Kukacka, Jiri & Kristoufek, Ladislav, 2020. "Do ‘complex’ financial models really lead to complex dynamics? Agent-based models and multifractality," Journal of Economic Dynamics and Control, Elsevier, vol. 113(C).
    38. Sandra Vinciguerra & Koen Frenken & Marco Valente, 2010. "The Geography of Internet Infrastructure: An evolutionary simulation approach based on preferential attachment," Papers in Evolutionary Economic Geography (PEEG) 1006, Utrecht University, Department of Human Geography and Spatial Planning, Group Economic Geography, revised Apr 2010.
    39. Giovanni Dosi & Andrea Roventini, 2019. "More is Different ... and Complex! The Case for Agent-Based Macroeconomics," LEM Papers Series 2019/01, Laboratory of Economics and Management (LEM), Sant'Anna School of Advanced Studies, Pisa, Italy.
    40. Marco Amendola & Francesco Lamperti & Andrea Roventini & Alessandro Sapio, 2023. "Energy efficiency policies in an agent-based macroeconomic model," LEM Papers Series 2023/20, Laboratory of Economics and Management (LEM), Sant'Anna School of Advanced Studies, Pisa, Italy.
    41. Lamperti, F. & Dosi, G. & Napoletano, M. & Roventini, A. & Sapio, A., 2018. "Faraway, So Close: Coupled Climate and Economic Dynamics in an Agent-based Integrated Assessment Model," Ecological Economics, Elsevier, vol. 150(C), pages 315-339.
    42. Severin Reissl, 2021. "Heterogeneous expectations, forecasting behaviour and policy experiments in a hybrid Agent-based Stock-flow-consistent model," Journal of Evolutionary Economics, Springer, vol. 31(1), pages 251-299, January.
    43. Niamir, Leila & Filatova, Tatiana & Voinov, Alexey & Bressers, Hans, 2018. "Transition to low-carbon economy: Assessing cumulative impacts of individual behavioral changes," Energy Policy, Elsevier, vol. 118(C), pages 325-345.
    44. Alessandro Taberna & Tatiana Filatova & Andrea Roventini & Francesco Lamperti, 2021. "Coping with increasing tides: technological change, agglomeration dynamics and climate hazards in an agent-based evolutionary model," LEM Papers Series 2021/44, Laboratory of Economics and Management (LEM), Sant'Anna School of Advanced Studies, Pisa, Italy.
    45. Efstathios Panayi & Gareth W. Peters, 2015. "Stochastic simulation framework for the limit order book using liquidity-motivated agents," International Journal of Financial Engineering (IJFE), World Scientific Publishing Co. Pte. Ltd., vol. 2(02), pages 1-52.
    46. Reyns, Ariane, 2024. "What drives businesses to transact with complementary currencies?," Ecological Economics, Elsevier, vol. 220(C).
    47. Paolo Zeppini & Koen Frenken & Roland Kupers, 2013. "Threshold models of technological transitions," Working Papers 13-06, Eindhoven Center for Innovation Studies, revised Aug 2013.
    48. Onggo, Bhakti Stephan & Karatas, Mumtaz, 2016. "Test-driven simulation modelling: A case study using agent-based maritime search-operation simulation," European Journal of Operational Research, Elsevier, vol. 254(2), pages 517-531.
    49. LeBaron Blake & Winker Peter, 2008. "Introduction to the Special Issue on Agent-Based Models for Economic Policy Advice," Journal of Economics and Statistics (Jahrbuecher fuer Nationaloekonomie und Statistik), De Gruyter, vol. 228(2-3), pages 141-148, April.
    50. Firouzeh Taghikhah & Tatiana Filatova & Alexey Voinov, 2021. "Where Does Theory Have It Right? A Comparison of Theory-Driven and Empirical Agent Based Models," Journal of Artificial Societies and Social Simulation, Journal of Artificial Societies and Social Simulation, vol. 24(2), pages 1-4.
    51. Arnaud Z. Dragicevic, 2019. "Market Coordination Under Non-Equilibrium Dynamics," Networks and Spatial Economics, Springer, vol. 19(3), pages 697-715, September.
    52. Boateng, Mark K. & Awuah-Offei, Kwame, 2017. "Agent-based modeling framework for modeling the effect of information diffusion on community acceptance of mining," Technological Forecasting and Social Change, Elsevier, vol. 117(C), pages 1-11.
    53. Beatrice Nöldeke & Etti Winter & Yves Laumonier & Trifosa Simamora, 2021. "Simulating Agroforestry Adoption in Rural Indonesia: The Potential of Trees on Farms for Livelihoods and Environment," Land, MDPI, vol. 10(4), pages 1-31, April.
    54. G. Dosi & F. Lamperti & Mauro Napoletano & A. Roventini & A. Sapio, 2020. "Climate change and green transitions in an agent-based integrated assessment model," SciencePo Working papers Main halshs-03046932, HAL.
    55. Corrado Monti & Marco Pangallo & Gianmarco De Francisci Morales & Francesco Bonchi, 2022. "On learning agent-based models from data," Papers 2205.05052, arXiv.org, revised Nov 2022.
    56. Eduardo Tapia, 2022. "Groups' contribution to shaping ethnic residential segregation: a dynamic approach," Journal of Computational Social Science, Springer, vol. 5(1), pages 565-589, May.
    57. Sylvain Barde & Sander van der Hoog, 2017. "An empirical validation protocol for large-scale agent-based models," Studies in Economics 1712, School of Economics, University of Kent.
    58. Santiago Quintero Ramírez & Walter Lugo Ruiz Castañeda & Jorge Robledo Velásquez, 2017. "Representation of unlearning in the innovation systems: A proposal from agent-based modeling," Estudios Gerenciales, Universidad Icesi, vol. 33(145), pages 366-376, November.
    59. Alexandru Stan, 2015. "A Price Crash Alerting Strategy for Agent-based Artificial Financial Markets," MIC 2015: Managing Sustainable Growth; Proceedings of the Joint International Conference, Portorož, Slovenia, 28–30 May 2015,, University of Primorska, Faculty of Management Koper.
    60. Francesco Lamperti, 2015. "An Information Theoretic Criterion for Empirical Validation of Time Series Models," LEM Papers Series 2015/02, Laboratory of Economics and Management (LEM), Sant'Anna School of Advanced Studies, Pisa, Italy.
    61. Bàrbara Llacay & Gilbert Peffer, 2018. "Using realistic trading strategies in an agent-based stock market model," Computational and Mathematical Organization Theory, Springer, vol. 24(3), pages 308-350, September.
    62. Klaus Wersching, 2010. "Schumpeterian Competition, Technological Regimes and Learning through Knowledge Spillover," Post-Print hal-00849408, HAL.
    63. Giorgio Fagiolo & Mattia Guerini & Francesco Lamperti & Alessio Moneta & Andrea Roventini, 2017. "Validation of Agent-Based Models in Economics and Finance," LEM Papers Series 2017/23, Laboratory of Economics and Management (LEM), Sant'Anna School of Advanced Studies, Pisa, Italy.
    64. Alys McAlpine & Ligia Kiss & Cathy Zimmerman & Zaid Chalabi, 2021. "Agent-based modeling for migration and modern slavery research: a systematic review," Journal of Computational Social Science, Springer, vol. 4(1), pages 243-332, May.
    65. Alperen Bektas & Valentino Piana & René Schumann, 2021. "A meso-level empirical validation approach for agent-based computational economic models drawing on micro-data: a use case with a mobility mode-choice model," SN Business & Economics, Springer, vol. 1(6), pages 1-25, June.
    66. Elmar Kiesling & Markus Günther & Christian Stummer & Lea Wakolbinger, 2012. "Agent-based simulation of innovation diffusion: a review," Central European Journal of Operations Research, Springer;Slovak Society for Operations Research;Hungarian Operational Research Society;Czech Society for Operations Research;Österr. Gesellschaft für Operations Research (ÖGOR);Slovenian Society Informatika - Section for Operational Research;Croatian Operational Research Society, vol. 20(2), pages 183-230, June.
    67. Le Pira, Michela & Inturri, Giuseppe & Ignaccolo, Matteo & Pluchino, Alessandro & Rapisarda, Andrea, 2017. "Finding shared decisions in stakeholder networks: An agent-based approach," Physica A: Statistical Mechanics and its Applications, Elsevier, vol. 466(C), pages 277-287.
    68. Fontana Magda, 2008. "The complexity approach to economics : a Paradigm shift," CESMEP Working Papers 200801, University of Turin.
    69. Luis Goncalves de Faria, 2022. "An Agent-Based Model With Realistic Financial Time Series: A Method for Agent-Based Models Validation," Papers 2206.09772, arXiv.org.
    70. Lamperti, Francesco, 2018. "An information theoretic criterion for empirical validation of simulation models," Econometrics and Statistics, Elsevier, vol. 5(C), pages 83-106.
    71. Andrea Teglio & Andrea Mazzocchetti & Linda Ponta & Marco Raberto & Silvano Cincotti, 2015. "Budgetary rigour with stimulus in lean times: Policy advices from an agent-based model," Working Papers 2015/07, Economics Department, Universitat Jaume I, Castellón (Spain).
    72. Annalisa Fabretti, 2013. "On the problem of calibrating an agent based model for financial markets," Journal of Economic Interaction and Coordination, Springer;Society for Economic Science with Heterogeneous Interacting Agents, vol. 8(2), pages 277-293, October.
    73. Muqtafi Akhmad & Shuang Chang & Hiroshi Deguchi, 2021. "Closed-mindedness and insulation in groupthink: their effects and the devil’s advocacy as a preventive measure," Journal of Computational Social Science, Springer, vol. 4(2), pages 455-478, November.
    74. Dawid Herbert & Gemkow Simon & Harting Philipp & Kabus Kordian & Neugart Michael & Wersching Klaus, 2008. "Skills, Innovation, and Growth: An Agent-Based Policy Analysis," Journal of Economics and Statistics (Jahrbuecher fuer Nationaloekonomie und Statistik), De Gruyter, vol. 228(2-3), pages 251-275, April.
    75. Grazzini Jakob, 2011. "Estimating Micromotives from Macrobehavior," Department of Economics and Statistics Cognetti de Martiis. Working Papers 201111, University of Turin.
    76. Shah Jamal Alam & Armando Geller & Ruth Meyer & Bogdan Werth, 2010. "Modelling Contextualized Reasoning in Complex Societies with "Endorsements"," Journal of Artificial Societies and Social Simulation, Journal of Artificial Societies and Social Simulation, vol. 13(4), pages 1-6.
    77. William Orjuela-Garzon & Santiago Quintero & Diana P. Giraldo & Laura Lotero & César Nieto-Londoño, 2021. "A Theoretical Framework for Analysing Technology Transfer Processes Using Agent-Based Modelling: A Case Study on Massive Technology Adoption (AMTEC) Program on Rice Production," Sustainability, MDPI, vol. 13(20), pages 1-23, October.
    78. Scheller, Fabian & Johanning, Simon & Bruckner, Thomas, 2019. "A review of designing empirically grounded agent-based models of innovation diffusion: Development process, conceptual foundation and research agenda," Contributions of the Institute for Infrastructure and Resources Management 01/2019, University of Leipzig, Institute for Infrastructure and Resources Management.
    79. Lilit Popoyan & Alessandro Sapio, 2023. "Prevention first vs. cap-and-trade policies in an agent-based integrated assessment model with GHG emissions permits," LEM Papers Series 2023/29, Laboratory of Economics and Management (LEM), Sant'Anna School of Advanced Studies, Pisa, Italy.
    80. Gianluca Capone & Franco Malerba & Richard R. Nelson & Luigi Orsenigo & Sidney G. Winter, 2019. "History friendly models: retrospective and future perspectives," Eurasian Business Review, Springer;Eurasia Business and Economics Society, vol. 9(1), pages 1-23, March.
    81. Francesco Lamperti, 2016. "Empirical Validation of Simulated Models through the GSL-div: an Illustrative Application," LEM Papers Series 2016/18, Laboratory of Economics and Management (LEM), Sant'Anna School of Advanced Studies, Pisa, Italy.
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    86. Robinson, Scott A. & Rai, Varun, 2015. "Determinants of spatio-temporal patterns of energy technology adoption: An agent-based modeling approach," Applied Energy, Elsevier, vol. 151(C), pages 273-284.
    87. Hossein Sabzian & Mohammad Ali Shafia & Mehdi Ghazanfari & Ali Bonyadi Naeini, 2020. "Modeling the Adoption and Diffusion of Mobile Telecommunications Technologies in Iran: A Computational Approach Based on Agent-Based Modeling and Social Network Theory," Sustainability, MDPI, vol. 12(7), pages 1-36, April.
    88. Gomes, Sharlene L. & Hermans, Leon M. & Thissen, Wil A.H., 2018. "Extending community operational research to address institutional aspects of societal problems: Experiences from peri-urban Bangladesh," European Journal of Operational Research, Elsevier, vol. 268(3), pages 904-917.
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    91. Flaminio Squazzoni, 2010. "The impact of agent-based models in the social sciences after 15 years of incursions," History of Economic Ideas, Fabrizio Serra Editore, Pisa - Roma, vol. 18(2), pages 197-234.
    92. Didier SORNETTE, 2014. "Physics and Financial Economics (1776-2014): Puzzles, Ising and Agent-Based Models," Swiss Finance Institute Research Paper Series 14-25, Swiss Finance Institute.
    93. Fatouh, Mahmoud & Markose, Sheri & Giansante, Simone, 2021. "The impact of quantitative easing on UK bank lending: Why banks do not lend to businesses?," Journal of Economic Behavior & Organization, Elsevier, vol. 183(C), pages 928-953.
    94. Hossein Sabzian & Mohammad Ali Shafia & Ali Maleki & Seyeed Mostapha Seyeed Hashemi & Ali Baghaei & Hossein Gharib, 2019. "Theories and Practice of Agent based Modeling: Some practical Implications for Economic Planners," Papers 1901.08932, arXiv.org.
    95. Olaru, Doina & Purchase, Sharon, 2014. "Rethinking validation: Efficient search of the space of parameters for an agent-based model," Australasian marketing journal, Elsevier, vol. 22(1), pages 60-68.
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    100. Taberna, Alessandro & Filatova, Tatiana & Roventini, Andrea & Lamperti, Francesco, 2022. "Coping with increasing tides: Evolving agglomeration dynamics and technological change under exacerbating hazards," Ecological Economics, Elsevier, vol. 202(C).
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    102. Chai Andreas & Moneta Alessio, 2014. "Escaping Satiation Dynamics: Some Evidence from British Household Data," Journal of Economics and Statistics (Jahrbuecher fuer Nationaloekonomie und Statistik), De Gruyter, vol. 234(2-3), pages 299-327, April.
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    105. Francesco Lamperti, 2018. "Empirical validation of simulated models through the GSL-div: an illustrative application," Journal of Economic Interaction and Coordination, Springer;Society for Economic Science with Heterogeneous Interacting Agents, vol. 13(1), pages 143-171, April.
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    108. Noeldeke, Beatrice & Winter, Etti & Ntawuhiganayo, Elisée Bahati, 2022. "Representing human decision-making in agent-based simulation models: Agroforestry adoption in rural Rwanda," Ecological Economics, Elsevier, vol. 200(C).
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    111. Wersching, Klaus, 2010. "Schumpeterian competition, technological regimes and learning through knowledge spillover," Journal of Economic Behavior & Organization, Elsevier, vol. 75(3), pages 482-493, September.
    112. Weidlich Anke & Veit Daniel, 2008. "Agent-Based Simulations for Electricity Market Regulation Advice: Procedures and an Example," Journal of Economics and Statistics (Jahrbuecher fuer Nationaloekonomie und Statistik), De Gruyter, vol. 228(2-3), pages 149-172, April.
    113. Marc Deissenroth & Martin Klein & Kristina Nienhaus & Matthias Reeg, 2017. "Assessing the Plurality of Actors and Policy Interactions: Agent-Based Modelling of Renewable Energy Market Integration," Complexity, Hindawi, vol. 2017, pages 1-24, December.
    114. Hossein Sabzian & Alireza Aliahmadi & Adel Azar & Madjid Mirzaee, 2018. "Economic inequality and Islamic Charity: An exploratory agent-based modeling approach," Papers 1804.09284, arXiv.org.
    115. Kurt Dopfer, 2011. "Economics in a Cultural Key: Complexity and Evolution Revisited," Chapters, in: John B. Davis & D. Wade Hands (ed.), The Elgar Companion to Recent Economic Methodology, chapter 14, Edward Elgar Publishing.
    116. Latynskiy, Evgeny & Berger, Thomas, 2015. "UTZ certification for groups of smallholder coffee farmers: Hype of hope?," 2015 Conference, August 9-14, 2015, Milan, Italy 229069, International Association of Agricultural Economists.
    117. Colasante, Annarita, 2017. "Selection of the distributional rule as an alternative tool to foster cooperation in a Public Good Game," Physica A: Statistical Mechanics and its Applications, Elsevier, vol. 468(C), pages 482-492.
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    119. Guillaume Chérel & Clémentine Cottineau & Romain Reuillon, 2015. "Beyond Corroboration: Strengthening Model Validation by Looking for Unexpected Patterns," PLOS ONE, Public Library of Science, vol. 10(9), pages 1-28, September.
    120. Vipin P. Veetil & Lawrence H. White, 2017. "Towards a New Austrian Macroeconomics," The Review of Austrian Economics, Springer;Society for the Development of Austrian Economics, vol. 30(1), pages 19-38, March.
    121. Marta Posada & Celia Martín-Sierra & Elena Perez, 2017. "Effort, Satisfaction and Outcomes in Organisations," Journal of Artificial Societies and Social Simulation, Journal of Artificial Societies and Social Simulation, vol. 20(2), pages 1-9.
    122. Kathrin Eismann, 2021. "Diffusion and persistence of false rumors in social media networks: implications of searchability on rumor self-correction on Twitter," Journal of Business Economics, Springer, vol. 91(9), pages 1299-1329, November.

  23. Alessio Moneta, 2005. "Causality in macroeconometrics: some considerations about reductionism and realism," Journal of Economic Methodology, Taylor & Francis Journals, vol. 12(3), pages 433-453.

    Cited by:

    1. Giorgio Fagiolo & Paul Windrum & Alessio Moneta, 2006. "Empirical Validation of Agent Based Models: A Critical Survey," LEM Papers Series 2006/14, Laboratory of Economics and Management (LEM), Sant'Anna School of Advanced Studies, Pisa, Italy.
    2. Alex Coad & Rekha Rao, 2010. "Firm growth and R&D expenditure," Economics of Innovation and New Technology, Taylor & Francis Journals, vol. 19(2), pages 127-145.
    3. Alex Coad, 2007. "Exploring the "mechanics" of firm growth: evidence from a short-panel VAR," Post-Print halshs-00175048, HAL.
    4. Piero Ferri & Anna Maria Variato, 2007. "Macro Dynamics in a Model with Uncertainty," Working Papers (-2012) 0704, University of Bergamo, Department of Economics.
    5. Paul Windrum & Giorgio Fagiolo & Alessio Moneta, 2007. "Empirical Validation of Agent-Based Models: Alternatives and Prospects," Journal of Artificial Societies and Social Simulation, Journal of Artificial Societies and Social Simulation, vol. 10(2), pages 1-8.
    6. Erdal Atukeren, 2008. "Christmas cards, Easter bunnies, and Granger-causality," Quality & Quantity: International Journal of Methodology, Springer, vol. 42(6), pages 835-844, December.
    7. Martin Binder & Felix Ward, 2011. "The Structure of Happiness: A Vector Autoregressive Approach," Papers on Economics and Evolution 2011-08, Philipps University Marburg, Department of Geography.

  24. Alessio Moneta, 2005. "Some Peculiarities of the Concept of Casuality in Macroeconometrics," History of Economic Ideas, Fabrizio Serra Editore, Pisa - Roma, vol. 13(3), pages 57-82.

    Cited by:

    1. Gräbner, Claudius, 2016. "From realism to instrumentalism - and back? Methodological implications of changes in the epistemology of economics," MPRA Paper 71933, University Library of Munich, Germany.

  25. Alessio Moneta, 2004. "Identification of Monetary Policy Shocks: A graphical causal approach," Notas Económicas, Faculty of Economics, University of Coimbra, issue 20, pages 39-62, December.

    Cited by:

    1. Alessio Moneta, 2003. "Graphical Models for Structural Vector Autoregressions," LEM Papers Series 2003/07, Laboratory of Economics and Management (LEM), Sant'Anna School of Advanced Studies, Pisa, Italy.
    2. Alessio Moneta & Doris Entner & Patrik O. Hoyer & Alex Coad, 2013. "Causal Inference by Independent Component Analysis: Theory and Applications," Oxford Bulletin of Economics and Statistics, Department of Economics, University of Oxford, vol. 75(5), pages 705-730, October.
    3. Alessio Moneta, 2008. "Graphical causal models and VARs: an empirical assessment of the real business cycles hypothesis," Empirical Economics, Springer, vol. 35(2), pages 275-300, September.

Chapters

  1. Andreas Chai & Alessio Moneta, 2013. "Back to Engel? Some Evidence for the Hierarchy of Needs," Economic Complexity and Evolution, in: Andreas Pyka & Esben Sloth Andersen (ed.), Long Term Economic Development, edition 127, pages 33-59, Springer.
    See citations under working paper version above.Sorry, no citations of chapters recorded.
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