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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. 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. 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).
    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. Mahboubeh Jafari & David I. Stern & Stephan B. Bruns, 2021. "How large is the economy-wide rebound effect in middle income countries? Evidence from Iran," CCEP Working Papers 2107, Centre for Climate & Energy Policy, Crawford School of Public Policy, The Australian National University.
    6. Du, Kerui & Liu, Xueyue & Zhao, Cheng, 2023. "Environmental regulation mitigates energy rebound effect," Energy Economics, Elsevier, vol. 125(C).

  3. 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. 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.
    2. 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.
    3. 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.
    4. Dante Amengual & Gabriele Fiorentini & Enrique Sentana, 2022. "Specification tests for non-Gaussian structural vector autoregressions," Working Papers wp2022_2212, CEMFI.
    5. 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).
    6. Sebastiano Michele Zema, 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.
    7. 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.

  4. 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.

  5. 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. Paul E. Brockway & Steve Sorrell & Gregor Semieniuk & Matthew Kuperus Heun & Victor Court, 2021. "Energy efficiency and economy-wide rebound effects: A review of the evidence and its implications," Post-Print hal-03218631, HAL.

  6. 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. 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.
    2. Stern, David I., 2020. "How large is the economy-wide rebound effect?," Energy Policy, Elsevier, vol. 147(C).
    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. Mahboubeh Jafari & David I. Stern & Stephan B. Bruns, 2021. "How large is the economy-wide rebound effect in middle income countries? Evidence from Iran," CCEP Working Papers 2107, Centre for Climate & Energy Policy, Crawford School of Public Policy, The Australian National University.
    5. 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.
    6. 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).
    7. Soojin Jo & Lilia Karnizova, 2021. "Energy Efficiency and Fluctuations in CO2 Emissions," Staff Working Papers 21-47, Bank of Canada.
    8. 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.
    9. 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).
    10. Ahmann, Lara & Banning, Maximilian & Lutz, Christian, 2022. "Modeling rebound effects and counteracting policies for German industries," Ecological Economics, Elsevier, vol. 197(C).
    11. 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).

  7. 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 & Elisa Palagi & Andrea Roventini & Emanuele Russo, 2021. "Do patents really foster innovation in the pharmaceutical sector? Results from an evolutionary, agent-based model," LEM Papers Series 2021/37, Laboratory of Economics and Management (LEM), Sant'Anna School of Advanced Studies, Pisa, Italy.
    2. 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.
    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. 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).
    5. Luca Eduardo Fierro & Alessandro Caiani & Alberto Russo, 2021. "Automation, job polarisation, and structural change," Working Papers 2021/09, Economics Department, Universitat Jaume I, Castellón (Spain).
    6. Francesco Lamperti & Valentina Bosetti & Andrea Roventini & Massimo Tavoni & Tania Treibich, 2021. "Three green financial policies to address climate risks," Post-Print hal-04103920, HAL.
    7. 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.
    8. Francesco Lamperti & Giovanni Dosi & Mauro Napoletano & Andrea Roventini & Alessandro Sapio, 2017. "Faraway, so Close: Coupled Climate and Economic Dynamics in an Agent-Based Integrated Assessment Model," LEM Papers Series 2017/12, Laboratory of Economics and Management (LEM), Sant'Anna School of Advanced Studies, Pisa, Italy.
    9. 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.
    10. Schulz, Jan & Mayerhoffer, Daniel M., 2021. "A network approach to consumption," BERG Working Paper Series 173, Bamberg University, Bamberg Economic Research Group.
    11. Francesco Lamperti & Andrea Roventini & Amir Sani, 2017. "Agent-Based Model Calibration using Machine Learning Surrogates," Papers 1703.10639, arXiv.org, revised Apr 2017.
    12. 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.
    13. 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.
    14. 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," NBER Working Papers 26634, National Bureau of Economic Research, Inc.
    15. 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.
    16. 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.
    17. 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.
    18. 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.
    19. 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.
    20. 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.
    21. Mauro Napoletano & Eric Guerci & Nobuyuki Hanaki, 2018. "Recent advances in financial networks and agent-based model validation," Post-Print hal-02299235, HAL.
    22. Lilit Popoyan & Mauro Napoletano & Andrea Roventini, 2019. "Winter is possibly not coming: mitigating financial instability in an agent-based model with interbank market," Sciences Po publications 14, Sciences Po.
    23. 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).
    24. Flavio Calvino & Daniele Giachini & Mattia Guerini, 2020. "The age distribution of business firms," Working Papers halshs-03040286, HAL.
    25. 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.
    26. 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.
    27. Donovan Platt, 2019. "A Comparison of Economic Agent-Based Model Calibration Methods," Papers 1902.05938, arXiv.org.
    28. 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.
    29. 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).
    30. 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.
    31. 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.
    32. Giovanni Dosi & Andrea Roventini & Emanuele Russo, 2018. "Endogenous growth and global divergence in a multi-country agent-based model," Documents de Travail de l'OFCE 2018-02, Observatoire Francais des Conjonctures Economiques (OFCE).
    33. 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.
    34. 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.
    35. 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).
    36. Barde, Sylvain, 2020. "Macroeconomic simulation comparison with a multivariate extension of the Markov information criterion," Journal of Economic Dynamics and Control, Elsevier, vol. 111(C).
    37. 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.
    38. Noemi Schmitt & Ivonne Schwartz & Frank Westerhoff, 2022. "Heterogeneous speculators and stock market dynamics: a simple agent-based computational model," The European Journal of Finance, Taylor & Francis Journals, vol. 28(13-15), pages 1263-1282, October.
    39. 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).
    40. Giovanni Dosi & Andrea Roventini, 2017. "Agent-Based Macroeconomics and Classical Political Economy: Some Italian Roots," Italian Economic Journal: A Continuation of Rivista Italiana degli Economisti and Giornale degli Economisti, Springer;Società Italiana degli Economisti (Italian Economic Association), vol. 3(3), pages 261-283, November.
    41. 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.
    42. 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).
    43. G. Dosi & F. Lamperti & Mauro Napoletano & A. Roventini & A. Sapio, 2020. "Climate change and green transitions in an agent-based integrated assessment model," Post-Print halshs-03046932, HAL.
    44. Platt, Donovan, 2020. "A comparison of economic agent-based model calibration methods," Journal of Economic Dynamics and Control, Elsevier, vol. 113(C).
    45. 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).
    46. 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.
    47. 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).
    48. Giorgio Fagiolo & Daniele Giachini & Andrea Roventini, 2017. "Innovation, Finance, and Economic Growth : an agent-based model," Sciences Po publications info:hdl:2441/1fai9i49vu8, Sciences Po.
    49. 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.
    50. Ron Wallace, 2021. "Configuring Hayek versus Keynes: Decentralisation, regulation, and computational discovery procedures," Economic Affairs, Wiley Blackwell, vol. 41(3), pages 465-471, October.
    51. 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.
    52. 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.
    53. 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.
    54. 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).
    55. 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.
    56. 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.
    57. 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.
    58. 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).
    59. 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.
    60. 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.
    61. 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.
    62. 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.
    63. 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).

  8. 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. 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.
    4. 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).
    5. 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.
    6. 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).

  9. 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. Luca Fontanelli & Mattia Guerini & Mauro Napoletano, 2021. "International Trade and Technological Competition in Markets with Dynamic Increasing Returns," GREDEG Working Papers 2021-33, Groupe de REcherche en Droit, Economie, Gestion (GREDEG CNRS), Université Côte d'Azur, France.
    2. 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.
    3. G. Dosi & F. Lamperti & Mauro Napoletano & A. Roventini & A. Sapio, 2020. "Climate change and green transitions in an agent-based integrated assessment model," Post-Print halshs-03046932, HAL.
    4. 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.
    5. 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.
    6. Joseph Hickey, 2023. "Simple model of market share dynamics based on clients' firm-switching decisions," Papers 2304.08727, arXiv.org, revised Nov 2023.
    7. 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).

  10. 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).

  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.

    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. Gabriele Fiorentini & Enrique Sentana, 2020. "Discrete Mixtures of Normals Pseudo Maximum Likelihood Estimators of Structural Vector Autoregressions," Working Papers wp2020_2023, CEMFI.
    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. 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.
    5. 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.
    6. 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.
    7. 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.

  12. 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.

  13. 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 & Elisa Palagi & Andrea Roventini & Emanuele Russo, 2021. "Do patents really foster innovation in the pharmaceutical sector? Results from an evolutionary, agent-based model," LEM Papers Series 2021/37, Laboratory of Economics and Management (LEM), Sant'Anna School of Advanced Studies, Pisa, Italy.
    2. T. Balint & F. Lamperti & Antoine Mandel & Mauro Napoletano & A. Roventini & A. Sapio, 2017. "Complexity and the Economics of Climate Change: A Survey and a Look Forward," Université Paris1 Panthéon-Sorbonne (Post-Print and Working Papers) halshs-01906003, HAL.
    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. 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.
    5. Giovanni Dosi & Mauro Napoletano & Andrea Roventini & Joseph E. Stiglitz & Tania Treibich, 2020. "Rational Heuristics? Expectations And Behaviors In Evolving Economies With Heterogeneous Interacting Agents," Economic Inquiry, Western Economic Association International, vol. 58(3), pages 1487-1516, July.
    6. Francesco Lamperti & Valentina Bosetti & Andrea Roventini & Massimo Tavoni & Tania Treibich, 2021. "Three green financial policies to address climate risks," Post-Print hal-04103920, HAL.
    7. Giovanni Dosi & Marcelo Pereira & Andrea Roventini & Maria Enrica Virgillito, 2016. "The Effects of Labour Market Reforms upon Unemployment and Income Inequalities: an Agent Based Model," Working Papers hal-03459264, HAL.
    8. 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.
    9. Giorgio Fagiolo & Andrea Roventini, 2017. "Macroeconomic Policy in DSGE and Agent-Based Models Redux: New Developments and Challenges Ahead," Journal of Artificial Societies and Social Simulation, Journal of Artificial Societies and Social Simulation, vol. 20(1), pages 1-1.
    10. Francesco Lamperti & Giovanni Dosi & Mauro Napoletano & Andrea Roventini & Alessandro Sapio, 2017. "Faraway, so Close: Coupled Climate and Economic Dynamics in an Agent-Based Integrated Assessment Model," LEM Papers Series 2017/12, Laboratory of Economics and Management (LEM), Sant'Anna School of Advanced Studies, Pisa, Italy.
    11. Sylvain Barde & Sander van Der Hoog, 2017. "An empirical validation protocol for large-scale agent-based models," SciencePo Working papers Main hal-03458672, HAL.
    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. 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.
    14. 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.
    15. 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.
    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. 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.
    18. 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.
    19. 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.
    20. 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.
    21. 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.
    22. 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.
    23. Mattia Guerini & Mauro Napoletano & Andrea Roventini, 2018. "No man is an island : the impact of heterogeneity and local interactions on macroeconomics dynamics," Post-Print hal-03609582, HAL.
    24. 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.
    25. 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.
    26. Babutsidze, Zakaria, 2018. "The rise of electronic social networks and implications for advertisers," Technological Forecasting and Social Change, Elsevier, vol. 137(C), pages 27-39.
    27. Donovan Platt, 2019. "A Comparison of Economic Agent-Based Model Calibration Methods," Papers 1902.05938, arXiv.org.
    28. 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.
    29. 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).
    30. 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.
    31. 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.
    32. Giovanni Dosi & Andrea Roventini & Emanuele Russo, 2018. "Endogenous growth and global divergence in a multi-country agent-based model," Documents de Travail de l'OFCE 2018-02, Observatoire Francais des Conjonctures Economiques (OFCE).
    33. 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.
    34. Barde, Sylvain, 2020. "Macroeconomic simulation comparison with a multivariate extension of the Markov information criterion," Journal of Economic Dynamics and Control, Elsevier, vol. 111(C).
    35. 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.
    36. Noemi Schmitt & Ivonne Schwartz & Frank Westerhoff, 2022. "Heterogeneous speculators and stock market dynamics: a simple agent-based computational model," The European Journal of Finance, Taylor & Francis Journals, vol. 28(13-15), pages 1263-1282, October.
    37. 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.
    38. 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.
    39. 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.
    40. G. Dosi & F. Lamperti & Mauro Napoletano & A. Roventini & A. Sapio, 2020. "Climate change and green transitions in an agent-based integrated assessment model," Post-Print halshs-03046932, HAL.
    41. Platt, Donovan, 2020. "A comparison of economic agent-based model calibration methods," Journal of Economic Dynamics and Control, Elsevier, vol. 113(C).
    42. 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).
    43. 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.
    44. 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.
    45. Zema, Sebastiano Michele, 2022. "Directed acyclic graph based information shares for price discovery," Journal of Economic Dynamics and Control, Elsevier, vol. 139(C).
    46. 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.
    47. 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.
    48. 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.
    49. 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.
    50. 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.
    51. Navarro, Andres & Tapiador, Francisco J., 2019. "RUSEM: A numerical model for policymaking and climate applications," Ecological Economics, Elsevier, vol. 165(C), pages 1-1.
    52. 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.
    53. 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.
    54. Lamperti, Francesco, 2018. "An information theoretic criterion for empirical validation of simulation models," Econometrics and Statistics, Elsevier, vol. 5(C), pages 83-106.
    55. 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.
    56. Oldham, Matthew, 2020. "Quantifying the concerns of Dimon and Buffett with data and computation," Journal of Economic Dynamics and Control, Elsevier, vol. 113(C).
    57. 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.
    58. Francesco Cordoni & Nicolas Doremus & Alessio Moneta, 2023. "Identification of Vector Autoregressive Models with Nonlinear Contemporaneous Structure," LEM Papers Series 2023/07, Laboratory of Economics and Management (LEM), Sant'Anna School of Advanced Studies, Pisa, Italy.

  14. 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. 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).
    6. Christophe Faugère, 2021. "Connectalism: A new paradigm for human choice," Systems Research and Behavioral Science, Wiley Blackwell, vol. 38(6), pages 866-889, November.
    7. 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.
    8. 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.
    9. 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.
    10. 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.
    11. 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.
    12. Pier-Paolo Saviotti & Andreas Pyka & Bogang Jun, 2016. "Education, structural change and economic development," Post-Print hal-02097591, HAL.
    13. Krecik, Markus, 2024. "A needs-based framework for approximating decisions and well-being," Discussion Papers 2024/2, Free University Berlin, School of Business & Economics.
    14. 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.
    15. 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.
    16. Roger Fouquet, 2013. "Long Run Demand for Energy Services: the Role of Economic and Technological Development," Working Papers 2013-03, BC3.

  15. 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.

  16. 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," Université Paris1 Panthéon-Sorbonne (Post-Print and Working Papers) halshs-00144415, HAL.
    2. Alex Coad & Werner Hölzl, 2012. "Firm Growth: Empirical Analysis," Chapters, in: Michael Dietrich & Jackie Krafft (ed.), Handbook on the Economics and Theory of the Firm, chapter 24, Edward Elgar Publishing.
    3. Tommaso Ferraresi & Andrea Roventini & Giorgio Fagiolo, 2015. "Fiscal Policies and Credit Regimes: A TVAR Approach," Journal of Applied Econometrics, John Wiley & Sons, Ltd., vol. 30(7), pages 1047-1072, November.
    4. 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.

  17. 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. Fouquet, Roger, 2012. "Trends in income and price elasticities of transport demand (1850–2010)," Energy Policy, Elsevier, vol. 50(C), pages 62-71.
    7. 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.
    8. 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.
    9. 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.
    10. 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).
    11. Stephan B. Bruns & Alessio Moneta, 2017. "Intertemporal propensity to consume," Journal of Evolutionary Economics, Springer, vol. 27(2), pages 295-314, April.
    12. Roger Fouquet, 2013. "Long Run Demand for Energy Services: the Role of Economic and Technological Development," Working Papers 2013-03, BC3.

  18. 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. 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.
    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. Ulrich Witt, 2011. "Sustainability and the Problem of Consumption," Papers on Economics and Evolution 2011-16, Philipps University Marburg, Department of Geography.
    6. Benjamin Volland, 2019. "Conscientious consumers? Personality, preferences and expenditures in the UK," Journal of Bioeconomics, Springer, vol. 21(2), pages 71-109, July.
    7. 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.
    8. 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.
    9. Ulrich Witt, 2017. "The evolution of consumption and its welfare effects," Journal of Evolutionary Economics, Springer, vol. 27(2), pages 273-293, April.
    10. 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.
    11. 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.
    12. 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.
    13. 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.
    14. Stephan B. Bruns & Alessio Moneta, 2017. "Intertemporal propensity to consume," Journal of Evolutionary Economics, Springer, vol. 27(2), pages 295-314, April.

  19. 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. 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.
    2. 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.
    3. Matteo Barigozzi & Lucia Alessi & Marco Capasso & Giorgio Fagiolo, 2008. "The Distribution of Consumption-Expenditure Budget Shares. Evidence from Italian Households," LEM Papers Series 2008/18, Laboratory of Economics and Management (LEM), Sant'Anna School of Advanced Studies, Pisa, Italy.

  20. 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).

  21. 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. 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.
    2. Matteo Barigozzi & Lucia Alessi & Marco Capasso & Giorgio Fagiolo, 2008. "The Distribution of Consumption-Expenditure Budget Shares. Evidence from Italian Households," LEM Papers Series 2008/18, Laboratory of Economics and Management (LEM), Sant'Anna School of Advanced Studies, Pisa, Italy.

  22. 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. 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.
    4. 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.
    5. G. Fagiolo & A. Roventini, 2009. "On the Scientific Status of Economic Policy: A Tale of Alternative Paradigms," Voprosy Ekonomiki, NP Voprosy Ekonomiki, issue 6.
    6. 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.
    7. 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.
    8. 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.
    9. 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.
    10. 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.
    11. 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.
    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.

  23. 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. 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.
  2. 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.
  3. 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.
  4. 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. 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.
    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.
    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.

  5. 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.
  6. 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.
  7. 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.
  8. 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).

  9. 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.
  10. 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. 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.
    2. 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.
    3. 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.
    4. Saint-Paul, Gilles, 2017. "Secular Satiation," CEPR Discussion Papers 12132, C.E.P.R. Discussion Papers.
    5. 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.
    6. 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.
    7. 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.
    8. 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.
    9. Christophe Faugère, 2021. "Connectalism: A new paradigm for human choice," Systems Research and Behavioral Science, Wiley Blackwell, vol. 38(6), pages 866-889, November.
    10. 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.
    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. 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).
    13. Stephan B. Bruns & Alessio Moneta, 2017. "Intertemporal propensity to consume," Journal of Evolutionary Economics, Springer, vol. 27(2), pages 295-314, April.

  11. 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.
  12. 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. 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).
    2. 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.
    3. 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.
    4. Leonardo Marinho, 2022. "Causal Impulse Responses for Time Series," Working Papers Series 570, Central Bank of Brazil, Research Department.
    5. 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.
    6. Gräbner, Claudius, 2016. "The complementary relationship between institutional and complexity economics: The example of deep mechanismic explanations," MPRA Paper 75636, University Library of Munich, Germany.

  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.

    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 - AGER, vol. 0(2(615), S), pages 69-104, Summer.

  14. 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. 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).
    7. 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].
    8. 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.
    9. 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.
    10. Brandts, Jordi & El Baroudi, Sabrine & Huber, Stefanie J. & Rott, Christina, 2021. "Gender differences in private and public goal setting," Journal of Economic Behavior & Organization, Elsevier, vol. 192(C), pages 222-247.
    11. 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.
    12. Gabriele Fiorentini & Enrique Sentana, 2020. "Discrete Mixtures of Normals Pseudo Maximum Likelihood Estimators of Structural Vector Autoregressions," Working Papers wp2020_2023, CEMFI.
    13. Alex Coad & Kristian Nielsen & Bram Timmermans, 2017. "My first employee: an empirical investigation," Small Business Economics, Springer, vol. 48(1), pages 25-45, January.
    14. 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.
    15. 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.
    16. 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.
    17. 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.
    18. Kalli, Maria & Griffin, Jim E., 2018. "Bayesian nonparametric vector autoregressive models," Journal of Econometrics, Elsevier, vol. 203(2), pages 267-282.
    19. 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.
    20. 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.
    21. 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.
    22. 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.
    23. 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).
    24. Brenner, T. & Capasso, M. & Duschl, M. & Frenken, K. & Treibich, T.G., 2015. "Causal relations between knowledge-intensive business services and regional employment growth," Research Memorandum 029, Maastricht University, Graduate School of Business and Economics (GSBE).
    25. 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).
    26. 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.
    27. 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).
    28. Christian Gouriéroux & Alain Monfort & Jean-Paul Renne, 2017. "Statistical Inference for Independent Component Analysis: Application to Structural VAR Models," Working Papers 2017-09, Center for Research in Economics and Statistics.
    29. 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.
    30. Sebastiano Michele Zema, 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.
    31. 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.
    32. 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.
    33. 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.
    34. 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.
    35. Tommaso Ferraresi & Andrea Roventini & Giorgio Fagiolo, 2015. "Fiscal Policies and Credit Regimes: A TVAR Approach," Journal of Applied Econometrics, John Wiley & Sons, Ltd., vol. 30(7), pages 1047-1072, November.
    36. Guay, Alain, 2021. "Identification of structural vector autoregressions through higher unconditional moments," Journal of Econometrics, Elsevier, vol. 225(1), pages 27-46.
    37. 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.
    38. 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.
    39. 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.
    40. Takeshi Yoshihara & Taisei Kaizoji, 2022. "Mechanism of information transmission from a spot rate market to crypto-asset markets," Papers 2211.16176, arXiv.org.
    41. 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.
    42. 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.
    43. 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.
    44. 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.
    45. Lukas Hoesch & Adam Lee & Geert Mesters, 2022. "Locally Robust Inference for Non-Gaussian SVAR Models," Working Papers 1367, Barcelona School of Economics.
    46. 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.
    47. 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.
    48. 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.
    49. 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.
    50. Mahboubeh Jafari & David I. Stern & Stephan B. Bruns, 2021. "How large is the economy-wide rebound effect in middle income countries? Evidence from Iran," CCEP Working Papers 2107, Centre for Climate & Energy Policy, Crawford School of Public Policy, The Australian National University.
    51. 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.
    52. 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.
    53. 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.
    54. 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.
    55. 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.
    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. Xiaojie Xu & Yun Zhang, 2022. "Contemporaneous causality among one hundred Chinese cities," Empirical Economics, Springer, vol. 63(4), pages 2315-2329, October.
    58. 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.
    59. 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.
    60. 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.
    61. 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.
    62. 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.
    63. 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.
    64. 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.
    65. 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.
    66. 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.
    67. 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).
    68. 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).
    69. 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.
    70. 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.
    71. 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.
    72. 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.
    73. 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).
    74. Francesco Cordoni & Nicolas Doremus & Alessio Moneta, 2023. "Identification of Vector Autoregressive Models with Nonlinear Contemporaneous Structure," LEM Papers Series 2023/07, Laboratory of Economics and Management (LEM), Sant'Anna School of Advanced Studies, Pisa, Italy.

  15. 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.
  16. 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. 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.
    4. 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.
    5. 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.
    6. 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.
    7. 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.
    8. 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.
    9. -, 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, March.
    10. 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.
    11. 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.
    12. Rengs, Bernhard & Scholz-Waeckerle, Manuel, 2017. "Consumption & Class in Evolutionary Macroeconomics," MPRA Paper 80021, University Library of Munich, Germany.
    13. 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.
    14. 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).
    15. 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.
    16. 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.
    17. 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.
    18. 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.
    19. von Hinke, Stephanie & Leckie, George, 2017. "Protecting energy intakes against income shocks," Journal of Economic Behavior & Organization, Elsevier, vol. 141(C), pages 210-232.
    20. Bernhard Rengs & Manuel Scholz-Wäckerle, 2019. "Consumption & class in evolutionary macroeconomics," Journal of Evolutionary Economics, Springer, vol. 29(1), pages 229-263, March.
    21. 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.
    22. Menggen Chen, 2022. "Engel’s law in China: Some new evidence," Review of Development Economics, Wiley Blackwell, vol. 26(3), pages 1640-1662, August.
    23. Nicholas Oulton, 2011. "The Wealth and Poverty of Nations: True PPPs for 141 Countries," CEP Discussion Papers dp1080, Centre for Economic Performance, LSE.
    24. 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.
    25. -, 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).
    26. 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.
    27. 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.
    28. 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.
    29. Ulrich Witt, 2011. "Sustainability and the Problem of Consumption," Papers on Economics and Evolution 2011-16, Philipps University Marburg, Department of Geography.
    30. 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.
    31. 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.
    32. 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.
    33. 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.
    34. 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.
    35. 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.
    36. 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.
    37. 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.
    38. 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.
    39. N. N., 2018. "WIFO-Monatsberichte, Heft 9/2018," WIFO Monatsberichte (monthly reports), WIFO, vol. 91(9), September.
    40. Pier-Paolo Saviotti & Andreas Pyka & Bogang Jun, 2016. "Education, structural change and economic development," Post-Print hal-02097591, HAL.
    41. 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.
    42. Ulrich Witt, 2017. "The evolution of consumption and its welfare effects," Journal of Evolutionary Economics, Springer, vol. 27(2), pages 273-293, April.
    43. 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.
    44. 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.
    45. 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.
    46. 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.
    47. 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.
    48. -, 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).
    49. 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.
    50. 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.
    51. 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.
    52. 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.
    53. Klaus S. 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.
    54. 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.
    55. Bárcena Ibarra, Alicia & Samaniego, Joseluis & Peres Núñez, Wilson & Alatorre, José Eduardo, 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.
    56. 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.
    57. Yoshinori Shiozawa, 2020. "A new framework for analyzing technological change," Journal of Evolutionary Economics, Springer, vol. 30(4), pages 989-1034, September.
    58. Roger Fouquet, 2013. "Long Run Demand for Energy Services: the Role of Economic and Technological Development," Working Papers 2013-03, BC3.
    59. 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.
    60. 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.
    61. Liqiong Chen & Antonio F. Galvao & Suyong Song, 2021. "Quantile Regression with Generated Regressors," Econometrics, MDPI, vol. 9(2), pages 1-35, April.
    62. Chavas, Jean-Paul, 2017. "On food security and the economic valuation of food," Food Policy, Elsevier, vol. 69(C), pages 58-67.
    63. Maldonado, Javier, 2019. "Detecting Gender Discrimination in Intrahousehold Resource Allocation," DES - Working Papers. Statistics and Econometrics. WS 28146, Universidad Carlos III de Madrid. Departamento de Estadística.

  17. 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.
  18. 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. 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.
    3. 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.
    4. 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".
    5. 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.
    6. 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.
    7. 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.
    8. Wang, Zijun, 2012. "The causal structure of bond yields," The Quarterly Review of Economics and Finance, Elsevier, vol. 52(1), pages 93-102.
    9. Piyachart Phiromswad & Takeshi Yagihashi, 2016. "Empirical identification of factor models," Empirical Economics, Springer, vol. 51(2), pages 621-658, September.
    10. Tommaso Ferraresi & Andrea Roventini & Giorgio Fagiolo, 2015. "Fiscal Policies and Credit Regimes: A TVAR Approach," Journal of Applied Econometrics, John Wiley & Sons, Ltd., vol. 30(7), pages 1047-1072, November.
    11. 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.
    12. 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.
    13. 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.
    14. Roberto Casarin & Daniel Felix Ahelegbey & Monica Billio, 2014. "Sparse Graphical Vector Autoregression: A Bayesian Approach," Working Papers 2014:29, Department of Economics, University of Venice "Ca' Foscari".
    15. Bryant, Henry L. & Bessler, David A. & Haigh, Michael S., 2006. "Disproving Causal Relationships Using Observational Data," 2006 Annual meeting, July 23-26, Long Beach, CA 21166, American Agricultural Economics Association (New Name 2008: Agricultural and Applied Economics Association).
    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.
    17. Wongboonsin, Kua & Phiromswad, Piyachart, 2017. "Searching for empirical linkages between demographic structure and economic growth," Economic Modelling, Elsevier, vol. 60(C), pages 364-379.
    18. Piyachart Phiromswad, 2014. "Measuring monetary policy with empirically grounded identifying restrictions," Empirical Economics, Springer, vol. 46(2), pages 681-699, March.
    19. 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.
    20. 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.
    21. 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.
    22. Daniel Felix Ahelegbey, 2015. "The Econometrics of Networks: A Review," Working Papers 2015:13, Department of Economics, University of Venice "Ca' Foscari".
    23. Francesco Cordoni & Nicolas Doremus & Alessio Moneta, 2023. "Identification of Vector Autoregressive Models with Nonlinear Contemporaneous Structure," LEM Papers Series 2023/07, Laboratory of Economics and Management (LEM), Sant'Anna School of Advanced Studies, Pisa, Italy.

  19. 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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    1. Xin-gang, Zhao & Yi, Zuo & Hui, Wang & Zhen, Wang, 2022. "How can the cost and effectiveness of renewable portfolio standards be coordinated? Incentive mechanism design from the coevolution perspective," Renewable and Sustainable Energy Reviews, Elsevier, vol. 158(C).
    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. Otto, Christian & Willner, Sven Norman & Wenz, Leonie & Frieler, Katja & Levermann, Anders, 2017. "Modeling loss-propagation in the global supply network: The dynamic agent-based model acclimate," OSF Preprints 7yyhd, Center for Open Science.
    5. 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.
    6. Heshmati, Almas & Lenz-Cesar, Flávio, 2014. "Policy Simulation of Firms Cooperation in Innovation," Working Paper Series in Economics and Institutions of Innovation 357, Royal Institute of Technology, CESIS - Centre of Excellence for Science and Innovation Studies.
    7. 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.
    8. Ernesto Carrella & Richard M. Bailey & Jens Koed Madsen, 2018. "Indirect inference through prediction," Papers 1807.01579, arXiv.org.
    9. Philip Arestis & Alexander Mihailov, 2008. "Classifying Monetary Economics: Fields and Methods from Past to Future," Economics Discussion Papers em-dp2008-64, Department of Economics, University of Reading.
    10. 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.
    11. 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.
    12. 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.
    13. 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.
    14. 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.
    15. Iori, G. & Porter, J., 2012. "Agent-Based Modelling for Financial Markets," Working Papers 12/08, Department of Economics, City University London.
    16. Gianluca Manzo & Delia Baldassarri, 2015. "Heuristics, Interactions, and Status Hierarchies," Sociological Methods & Research, , vol. 44(2), pages 329-387, May.
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    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 & Elisa Palagi & Andrea Roventini & Emanuele Russo, 2021. "Do patents really foster innovation in the pharmaceutical sector? Results from an evolutionary, agent-based model," LEM Papers Series 2021/37, Laboratory of Economics and Management (LEM), Sant'Anna School of Advanced Studies, Pisa, Italy.
    4. Giorgio Fagiolo & Sandrine Jacob Leal & Mauro Napoletano & Andrea Roventini, 2015. "Rock around the Clock: An Agent-Based Model of Low- and High-Frequency Trading," Post-Print hal-03411703, HAL.
    5. 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.
    6. 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).
    7. 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.
    8. 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.
    9. Francesco Lamperti & Valentina Bosetti & Andrea Roventini & Massimo Tavoni & Tania Treibich, 2021. "Three green financial policies to address climate risks," Post-Print hal-04103920, HAL.
    10. 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.
    11. Francesco Lamperti & Giovanni Dosi & Mauro Napoletano & Andrea Roventini & Alessandro Sapio, 2017. "Faraway, so Close: Coupled Climate and Economic Dynamics in an Agent-Based Integrated Assessment Model," LEM Papers Series 2017/12, Laboratory of Economics and Management (LEM), Sant'Anna School of Advanced Studies, Pisa, Italy.
    12. 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.
    13. 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.
    14. Sylvain Barde & Sander van Der Hoog, 2017. "An empirical validation protocol for large-scale agent-based models," SciencePo Working papers Main hal-03458672, HAL.
    15. 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.
    16. Francesco Lamperti & Andrea Roventini & Amir Sani, 2017. "Agent-Based Model Calibration using Machine Learning Surrogates," Papers 1703.10639, arXiv.org, revised Apr 2017.
    17. 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.
    18. Glismann, Samuel, 2021. "Ancillary Services Acquisition Model: Considering market interactions in policy design," Applied Energy, Elsevier, vol. 304(C).
    19. 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.
    20. Joanna Tyrowicz & Krzysztof Makarski & Marcin Bielecki, 2018. "Inequality in an OLG economy with heterogeneous cohorts and pension systems," The Journal of Economic Inequality, Springer;Society for the Study of Economic Inequality, vol. 16(4), pages 583-606, December.
    21. 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.
    22. 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.
    23. John DiNardo & David S. Lee, 2010. "Program Evaluation and Research Designs," NBER Working Papers 16016, National Bureau of Economic Research, Inc.
    24. Sandrine Jacob Leal & Mauro Napoletano, 2016. "Market Stability vs. Market Resilience: Regulatory Policies Experiments in an Agent-Based Model with Low- and High-Frequency Trading," Post-Print hal-01512779, HAL.
    25. He, Zhou & Xiong, Jie & Ng, Tsan Sheng & Fan, Bo & Shoemaker, Christine A., 2017. "Managing competitive municipal solid waste treatment systems: An agent-based approach," European Journal of Operational Research, Elsevier, vol. 263(3), pages 1063-1077.
    26. 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.
    27. 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.
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    32. 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.
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    78. 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.
    79. 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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    85. 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.
    86. 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.
    87. Nils ROLOFF & Ulrike LEHR & Wolfram KREWITT & Gerhard FUCHS & Sandra WASSERMANN & Wolfganf WEIMER-JEHLE & Bernd SCHMIDT, 2008. "Success Determinants for Technological Innovations in the Energy Sector - The Case of Photovoltaics," EcoMod2008 23800118, EcoMod.
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    89. 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).
    90. Marcelo De Carvalho Pereira, 2014. "When Competition May Hinder Technologydiffusion: The Case Of Internet Access Services In Brazil," Anais do XL Encontro Nacional de Economia [Proceedings of the 40th Brazilian Economics Meeting] 152, ANPEC - Associação Nacional dos Centros de Pós-Graduação em Economia [Brazilian Association of Graduate Programs in Economics].
    91. 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.
    92. 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.
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    94. Magda Fontana, 2010. "Can Neoclassical Economics Handle Complexity? The Fallacy of the Oil Spot Dynamic," Post-Print hal-00911826, HAL.
    95. Teglio, Andrea & Mazzocchetti, Andrea & Ponta, Linda & Raberto, Marco & Cincotti, Silvano, 2019. "Budgetary rigour with stimulus in lean times: Policy advices from an agent-based model," Journal of Economic Behavior & Organization, Elsevier, vol. 157(C), pages 59-83.
    96. 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.
    97. 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.
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    101. 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.
    102. 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.
    103. Fontana Magda, 2008. "The complexity approach to economics : a Paradigm shift," CESMEP Working Papers 200801, University of Turin.
    104. 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.
    105. Lamperti, Francesco, 2018. "An information theoretic criterion for empirical validation of simulation models," Econometrics and Statistics, Elsevier, vol. 5(C), pages 83-106.
    106. 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.
    107. 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.
    108. 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.
    109. 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.
    110. 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.
    111. 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.
    112. Grazzini Jakob, 2011. "Estimating Micromotives from Macrobehavior," Department of Economics and Statistics Cognetti de Martiis. Working Papers 201111, University of Turin.
    113. Weidlich, Anke & Veit, Daniel, 2008. "A critical survey of agent-based wholesale electricity market models," Energy Economics, Elsevier, vol. 30(4), pages 1728-1759, July.
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    115. 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.
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    117. 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.
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    119. 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.
    120. 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.

  21. 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. 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.
    5. Erdal Atukeren, 2008. "Christmas cards, Easter bunnies, and Granger-causality," Quality & Quantity: International Journal of Methodology, Springer, vol. 42(6), pages 835-844, December.
    6. Piero Ferri & Anna Maria Variato, 2007. "Macro Dynamics in a Model with Uncertainty," Working Papers (-2012) 0704, University of Bergamo, Department of Economics.
    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.

  22. 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.

  23. 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, 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.
    3. 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.

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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