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Isabelle Laure Salle

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.

Working papers

  1. Cars Hommes & Julien Pinter & Isabelle Salle, 2023. "What People Believe About Monetary Finance and What We Can(’t) Do About It: Evidence from a Large-Scale, Multi-Country Survey Experiment," Staff Working Papers 23-36, Bank of Canada.

    Cited by:

    1. Lena Dräger & Giang Nghiem, 2023. "Inflation Literacy, Inflation Expectations, and Trust in the Central Bank: A Survey Experiment," CESifo Working Paper Series 10539, CESifo.

  2. Jasmina Arifovic & Isabelle Salle & Hung Truong, 2023. "History-Dependent Monetary Regimes: A Lab Experiment and a Henk Model," Tinbergen Institute Discussion Papers 23-028/VI, Tinbergen Institute.

    Cited by:

    1. Salle, Isabelle L., 2023. "What to target? Insights from a lab experiment," Journal of Economic Behavior & Organization, Elsevier, vol. 212(C), pages 514-533.

  3. Alexander Hodbod & Cars Hommes & Stefanie J. Huber & Isabelle Salle, 2021. "The COVID-19 Consumption Game-Changer: Evidence from a Large-Scale Multi-Country Survey," Staff Working Papers 21-57, Bank of Canada.

    Cited by:

    1. Marco Palomeque & Juan de-Lucio, 2024. "The Soundtrack of a Crisis: More Positive Music Preferences During Economic and Social Adversity," Journal of Happiness Studies, Springer, vol. 25(5), pages 1-24, June.
    2. Cassola, Nuno & De Grauwe, Paul & Morana, Claudio & Tirelli, Patrizio, 2022. "The risks of exiting too early the policy responses to the COVID-19 recession," LSE Research Online Documents on Economics 113327, London School of Economics and Political Science, LSE Library.
    3. John Gathergood & Fabian Gunzinger & Benedict Guttman-Kenney & Edika Quispe-Torreblanca & Neil Stewart, 2020. "Levelling Down and the COVID-19 Lockdowns: Uneven Regional Recovery in UK Consumer Spending," Papers 2012.09336, arXiv.org, revised Dec 2020.
    4. Alexander Hodbod & Cars Hommes & Stefanie J. Huber & Isabelle Salle, 2021. "The COVID-19 Consumption Game-Changer: Evidence from a Large-Scale Multi-Country Survey," Staff Working Papers 21-57, Bank of Canada.
    5. Ludmila Fadejeva & Boriss Siliverstovs & Karlis Vilerts & Anete Brinke, 2022. "Consumer Spending in the Covid-19 Pandemic: Evidence from Card Transactions in Latvia," Discussion Papers 2022/01, Latvijas Banka.
    6. Marco Pangallo & Alberto Aleta & R. Maria del Rio Chanona & Anton Pichler & David Mart'in-Corral & Matteo Chinazzi & Franc{c}ois Lafond & Marco Ajelli & Esteban Moro & Yamir Moreno & Alessandro Vespig, 2022. "The unequal effects of the health-economy tradeoff during the COVID-19 pandemic," Papers 2212.03567, arXiv.org.
    7. Witold Chmielarz & Marek Zborowski & Xuetao Jin & Mesut Atasever & Justyna Szpakowska, 2022. "On a Comparative Analysis of Individual Customer Purchases on the Internet for Poland, Turkey and the People’s Republic of China at the Time of the COVID-19 Pandemic," Sustainability, MDPI, vol. 14(12), pages 1-21, June.
    8. Ascari, Guido & Colciago, Andrea & Silvestrini, Riccardo, 2023. "Business dynamism, sectoral reallocation and productivity in a pandemic," European Economic Review, Elsevier, vol. 156(C).
    9. ASUAMAH Yeboah, Samuel, 2023. "Navigating the Waves of Change: Exploring the Impact of COVID-19 on Consumer Behaviour in Developing Countries," MPRA Paper 117976, University Library of Munich, Germany, revised 2023.
    10. Ambrocio, Gene & Hasan, Iftekhar, 2022. "Belief polarization and Covid-19," Bank of Finland Research Discussion Papers 10/2022, Bank of Finland.
    11. MASUHARA Hiroaki & HOSOYA Kei, 2022. "What Impacts Do Human Mobility and Vaccination Have on Trends in COVID-19 Infections? Evidence from four developed countries," Discussion papers 22087, Research Institute of Economy, Trade and Industry (RIETI).
    12. Chen, Fangming & Mao, Shuai & Huang, Rong, 2024. "Age structure of the population and household consumption expenditure on tourism," Finance Research Letters, Elsevier, vol. 60(C).
    13. Marcell Kupi & Eszter Szemerédi, 2021. "Impact of the COVID-19 on the Destination Choices of Hungarian Tourists: A Comparative Analysis," Sustainability, MDPI, vol. 13(24), pages 1-17, December.
    14. Stefanie Huber, 2022. "SHE canÕt afford it and HE doesnÕt want it: The gender gap in the COVID-19 consumption response," Tinbergen Institute Discussion Papers 22-029/II, Tinbergen Institute.

  4. Isabelle Salle, 2021. "What to Target? Insights from a Lab Experiment," Staff Working Papers 21-53, Bank of Canada.

    Cited by:

    1. Jasmina Arifovic & Isabelle Salle & Hung Truong, 2023. "History-Dependent Monetary Regimes: A Lab Experiment and a Henk Model," Tinbergen Institute Discussion Papers 23-028/VI, Tinbergen Institute.
    2. Salle, Isabelle, 2022. "Comment on “No firm is an island? How industry conditions shape firms’ expectations” by Philippe Andrade, Olivier Coibion, Erwan Gautier and Yuriy Gorodnichenko," Journal of Monetary Economics, Elsevier, vol. 125(C), pages 57-61.
    3. Olena Kostyshyna & Luba Petersen & Jing Yang, 2022. "A Horse Race of Monetary Policy Regimes: An Experimental Investigation," NBER Working Papers 30530, National Bureau of Economic Research, Inc.

  5. Jasmina Arifovic & Cars Hommes & Anita Kopányi-Peuker & Isabelle Salle, 2020. "Ten isn’t large! Group size and coordination in a large-scale experiment," Staff Working Papers 20-30, Bank of Canada.

    Cited by:

    1. Hubert J. Kiss & Ismael Rodriguez-Lara & Alfonso Rosa-Garcia, 2021. "Experimental Bank Runs," ThE Papers 21/03, Department of Economic Theory and Economic History of the University of Granada..

  6. Jasmina Arifovic & Alex Grimaud & Isabelle Salle & Gauthier Vermandel, 2020. "Social Learning and Monetary Policy at the Effective Lower Bound," Staff Working Papers 20-2, Bank of Canada.

    Cited by:

    1. Petersen, Luba & Rholes, Ryan, 2022. "Macroeconomic expectations, central bank communication, and background uncertainty: A COVID-19 laboratory experiment," Journal of Economic Dynamics and Control, Elsevier, vol. 143(C).
    2. Tolga Özden, 2021. "Heterogeneous Expectations and the Business Cycle at the Effective Lower Bound," Working Papers 714, DNB.

  7. George Evans & Cars Hommes & Bruce McGough & Isabelle Salle, 2019. "Are Long-Horizon Expectations (De-)Stabilizing? Theory and Experiments," Staff Working Papers 19-27, Bank of Canada.

    Cited by:

    1. Shinichi Hirota & Juergen Huber & Thomas Stock & Shyam Sunder, 2018. "Speculation and Price Indeterminacy in Financial Markets: An Experimental Study," Cowles Foundation Discussion Papers 2134, Cowles Foundation for Research in Economics, Yale University.
    2. Bao, Te & Hommes, Cars & Pei, Jiaoying, 2021. "Expectation formation in finance and macroeconomics: A review of new experimental evidence," Journal of Behavioral and Experimental Finance, Elsevier, vol. 32(C).
    3. Mikhail Anufriev & Aleksei Chernulich & Jan Tuinstra, 2020. "Asset Price Volatility and Investment Horizons: An Experimental Investigation," Working Papers 20200053, New York University Abu Dhabi, Department of Social Science, revised Aug 2020.
    4. Elton Beqiraj & Giovanni Di Bartolomeo & Marco Di Pietro & Carolina Serpieri, 2020. "Bounded rationality and heterogeneous expectations: Euler versus anticipated-utility approach," Journal of Economics, Springer, vol. 130(3), pages 249-273, August.
    5. Leonid Serkov & Sergey Krasnykh, 2023. "The Specific Behavior of Economic Agents with Heterogeneous Expectations in the New Keynesian Model with Rigid Prices and Wages," Mathematics, MDPI, vol. 11(4), pages 1-17, February.
    6. Lustenhouwer, Joep, 2020. "Fiscal Stimulus In Expectations-Driven Liquidity Traps," Working Papers 0683, University of Heidelberg, Department of Economics.
    7. Simone Alfarano & Eva Camacho-Cuena & Annarita Colasante & Alba Ruiz-Buforn, 2024. "The effect of time-varying fundamentals in learning-to-forecast experiments," Journal of Economic Interaction and Coordination, Springer;Society for Economic Science with Heterogeneous Interacting Agents, vol. 19(4), pages 619-647, October.
    8. Lustenhouwer, Joep, 2020. "Fiscal stimulus in expectations-driven liquidity traps," Journal of Economic Behavior & Organization, Elsevier, vol. 177(C), pages 661-687.
    9. Airaudo, Marco, 2020. "Temptation and forward-guidance," Journal of Economic Theory, Elsevier, vol. 186(C).
    10. Lustenhouwer, Joep & Salle, Isabelle, 2022. "Forecast revisions in the presence of news: a lab investigation," Working Papers 0714, University of Heidelberg, Department of Economics.
    11. Ina Hajdini, 2022. "Mis-specified Forecasts and Myopia in an Estimated New Keynesian Model," Working Papers 22-03R, Federal Reserve Bank of Cleveland, revised 06 Mar 2023.

  8. Pascal Seppecher & Isabelle Salle & Marc Lavoie, 2018. "What drives markups? Evolutionary pricing in an agent-based stock-flow consistent macroeconomic model," Post-Print hal-01612320, HAL.

    Cited by:

    1. Eugenio Caverzasi & Alberto Russo, 2018. "Toward a new microfounded macroeconomics in the wake of the crisis," Industrial and Corporate Change, Oxford University Press and the Associazione ICC, vol. 27(6), pages 999-1014.
    2. Federico Bassi & Dany Lang & Raquel Almeida Ramos, 2023. "Bet against the trend and cash in profits: An agent‑based model of endogenous fluctuations of exchange rates," Post-Print hal-04428234, HAL.
    3. Bernardo Alves Furtado, 2022. "PolicySpace2: Modeling Markets and Endogenous Public Policies," Journal of Artificial Societies and Social Simulation, Journal of Artificial Societies and Social Simulation, vol. 25(1), pages 1-8.
    4. Farmer, J. Doyne & Carro, Adrian & Hinterschweiger, Marc & Uluc, Arzu, 2022. "Heterogeneous Effects and Spillovers of Macroprudential Policy in an Agent-Based Model of the UK Housing Market," INET Oxford Working Papers 2022-06, Institute for New Economic Thinking at the Oxford Martin School, University of Oxford.
    5. Carlos M. Fernández-Márquez & Matías Fuentes & Juan José Martínez & Francisco J. Vázquez, 2021. "Productivity and unemployment: an ABM approach," Journal of Economic Interaction and Coordination, Springer;Society for Economic Science with Heterogeneous Interacting Agents, vol. 16(1), pages 133-151, January.
    6. Marc Lavoie & Mario Seccareccia, 2019. "Macroeconomics and natural rates: some reflections on Pasinetti’s fair rate of interest," Bulletin of Political Economy, Bulletin of Political Economy, vol. 13(2), pages 139-165, December.
    7. Nikolas Schiozer & Gilberto Tadeu Lima & Michel Alexandre, 2024. "Heterogeneity in pricing behavior in hybrid DSGE-ABM macrodynamics," Working Papers, Department of Economics 2024_26, University of São Paulo (FEA-USP).
    8. Elena Deryugina & Alexey Ponomarenko, 2021. "Explaining the lead–lag pattern in the money–inflation relationship: a microsimulation approach," Journal of Evolutionary Economics, Springer, vol. 31(4), pages 1113-1128, September.
    9. 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).
    10. Poledna, Sebastian & Miess, Michael Gregor & Hommes, Cars & Rabitsch, Katrin, 2023. "Economic forecasting with an agent-based model," European Economic Review, Elsevier, vol. 151(C).
    11. Salle, Isabelle & Seppecher, Pascal, 2018. "Stabilizing an unstable complex economy on the limitations of simple rules," Journal of Economic Dynamics and Control, Elsevier, vol. 91(C), pages 289-317.
    12. Szymon Chudziak, 2022. "On the sources of economic growth, structural consistency of agent-based models and mental-accounting consumer behaviour," KAE Working Papers 2022-073, Warsaw School of Economics, Collegium of Economic Analysis.
    13. Marc Lavoie, 2020. "Shiozawa, Yoshinori; Morioka, Masashi; Taniguchi, Kasuhisa: Microfoundations of Evolutionary Economics," Review of Evolutionary Political Economy, Springer, vol. 1(2), pages 265-270, August.
    14. Giovanni Dosi & Marcelo C. Pereira & Andrea Roventini & Maria Enrica Virgillito, 2017. "Causes and Consequences of Hysteresis: Aggregate Demand, Productivity and Employment," LEM Papers Series 2017/07, Laboratory of Economics and Management (LEM), Sant'Anna School of Advanced Studies, Pisa, Italy.
    15. Isabelle Salle & Pascal Seppecher, 2017. "Stabilizing an Unstable Complex Economy," Working Papers hal-01527740, HAL.
    16. Bernardo Alves Furtado, 2018. "Modeling tax distribution in metropolitan regions with PolicySpace," Papers 1901.02391, arXiv.org.
    17. Adrian Carro, 2022. "Could Spain be less different? Exploring the effects of macroprudential policy on the house price cycle," Working Papers 2230, Banco de España.
    18. Gross, Marco, 2022. "Beautiful cycles: A theory and a model implying a curious role for interest," Economic Modelling, Elsevier, vol. 106(C).
    19. Adalbert Mayer, 2022. "An Agent-Based Macroeconomic Model with Endogenous Intertemporal Decision Rules," Eastern Economic Journal, Palgrave Macmillan;Eastern Economic Association, vol. 48(4), pages 548-579, October.

  9. Isabelle Salle & Pascal Seppecher, 2017. "Stabilizing an Unstable Complex Economy-On the limitations of simple rules," CEPN Working Papers 2017-07, Centre d'Economie de l'Université de Paris Nord.

    Cited by:

    1. Herbert Dawid & Domenico Delli Gatti & Luca Eduardo Fierro & Sebastian Poledna, 2024. "Implications of Behavioral Rules in Agent-Based Macroeconomics," CESifo Working Paper Series 11411, CESifo.
    2. 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.
    3. Lilit Popoyan & Mauro Napoletano & Andrea Roventini, 2019. "Winter is possibly not coming: mitigating financial instability in an agent-based model with interbank market," SciencePo Working papers Main hal-03403274, HAL.
    4. Marco Bardoscia & Adrian Carro & Marc Hinterschweiger & Mauro Napoletano & Lilit Popoyan & Andrea Roventini & Arzu Uluc, 2024. "The impact of prudential regulations on the UK housing market and economy: Insights from an agent-based model," Working Papers 118, Queen Mary, University of London, School of Business and Management, Centre for Globalisation Research.
    5. Szymon Chudziak, 2022. "On the sources of economic growth, structural consistency of agent-based models and mental-accounting consumer behaviour," KAE Working Papers 2022-073, Warsaw School of Economics, Collegium of Economic Analysis.
    6. Oldham, Matthew, 2020. "Quantifying the concerns of Dimon and Buffett with data and computation," Journal of Economic Dynamics and Control, Elsevier, vol. 113(C).
    7. Alessia Cafferata & Marwil J. Dávila-Fernández & Serena Sordi, 2020. "(Ir)rational explorers in the financial jungle: modelling Minsky with heterogeneous agents," Department of Economics University of Siena 819, Department of Economics, University of Siena.

  10. Isabelle Salle & Murat Yildizoglu & Martin Zumpe & Marc-Alexandre Sénégas, 2017. "Coordination through social learning in a general equilibrium model," Post-Print hal-01848386, HAL.

    Cited by:

    1. Gergely Varga & János Vincze, 2019. "Saver Types: An Evolutionary-Adaptive Approach," Society and Economy, Akadémiai Kiadó, Hungary, vol. 41(2), pages 263-287, June.
    2. Nikolas Schiozer & Gilberto Tadeu Lima & Michel Alexandre, 2024. "Heterogeneity in pricing behavior in hybrid DSGE-ABM macrodynamics," Working Papers, Department of Economics 2024_26, University of São Paulo (FEA-USP).

  11. Arifovic, J. & Hommes, C.H. & Salle, I., 2016. "Learning to believe in Simple Equilibria in a Complex OLG Economy - evidence from the lab," CeNDEF Working Papers 16-06, Universiteit van Amsterdam, Center for Nonlinear Dynamics in Economics and Finance.

    Cited by:

    1. Cars Hommes & Stefanie J. Huber & Daria Minina & Isabelle Salle, 2024. "Learning in a Complex World Insights from an OLG Lab Experiment," ECONtribute Discussion Papers Series 283, University of Bonn and University of Cologne, Germany.
    2. Bao, Te & Hommes, Cars & Pei, Jiaoying, 2021. "Expectation formation in finance and macroeconomics: A review of new experimental evidence," Journal of Behavioral and Experimental Finance, Elsevier, vol. 32(C).
    3. Battiston, Pietro & Harrison, Sharon G., 2024. "Believe it or not: Experimental evidence on sunspot equilibria with social networks," Games and Economic Behavior, Elsevier, vol. 143(C), pages 223-247.
    4. Marx, Robert & Lehmann-Waffenschmidt, Marco, 2022. "The Keynesian beauty contest revisited," Journal of Economic Behavior & Organization, Elsevier, vol. 204(C), pages 164-181.
    5. Mikhail Anufriev & Frieder Neunhoeffer & Jan Tuinstra, 2024. "Time pressure reduces financial bubbles: Evidence from a forecasting experiment," Working Papers REM 2024/0351, ISEG - Lisbon School of Economics and Management, REM, Universidade de Lisboa.
    6. Cavalli, F. & Chen, H.-J. & Li, M.-C. & Naimzada, A. & Pecora, N., 2023. "Heterogeneous expectations and equilibria selection in an evolutionary overlapping generations model," Journal of Mathematical Economics, Elsevier, vol. 104(C).
    7. Salle, Isabelle L., 2023. "What to target? Insights from a lab experiment," Journal of Economic Behavior & Organization, Elsevier, vol. 212(C), pages 514-533.
    8. Hommes, Cars, 2018. "Behavioral & experimental macroeconomics and policy analysis: a complex systems approach," Working Paper Series 2201, European Central Bank.
    9. Zhao, Dongxu & Li, Kai, 2022. "Bounded rationality, adaptive behaviour, and asset prices," International Review of Financial Analysis, Elsevier, vol. 80(C).
    10. Jasmina Arifovic & Cars Hommes & Anita Kopányi-Peuker & Isabelle Salle, 2020. "Ten isn’t large! Group size and coordination in a large-scale experiment," Staff Working Papers 20-30, Bank of Canada.
    11. Cars Hommes, 2017. "From Self-Fulfilling Mistakes to Behavioral Learning Equilibria," Studies in Economic Theory, in: Kazuo Nishimura & Alain Venditti & Nicholas C. Yannelis (ed.), Sunspots and Non-Linear Dynamics, chapter 0, pages 97-123, Springer.

  12. Seppecher, P. & Salle, I. & Lang, D., 2016. "Is the Market Really a Good Teacher?," CeNDEF Working Papers 16-04, Universiteit van Amsterdam, Center for Nonlinear Dynamics in Economics and Finance.

    Cited by:

    1. Pascal Seppecher & Isabelle Salle & Marc Lavoie, 2017. "What drives markups? Evolutionary pricing in an agent-based stock-flow consistent macroeconomic model," CEPN Working Papers 2017-03, Centre d'Economie de l'Université de Paris Nord.
    2. Gennaro Zezza & Michalis Nikiforos, 2017. "Stock-flow Consistent Macroeconomic Models: A Survey," EcoMod2017 10762, EcoMod.
    3. Farmer, J. Doyne & Carro, Adrian & Hinterschweiger, Marc & Uluc, Arzu, 2022. "Heterogeneous Effects and Spillovers of Macroprudential Policy in an Agent-Based Model of the UK Housing Market," INET Oxford Working Papers 2022-06, Institute for New Economic Thinking at the Oxford Martin School, University of Oxford.
    4. Italo Pedrosa & Dany Lang, 2018. "Heterogeneity, distribution and financial fragility of non-financial firms: an agent-based stock-flow consistent (AB-SFC) model," CEPN Working Papers 2018-11, Centre d'Economie de l'Université de Paris Nord.
    5. 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.
    6. 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.
    7. Elena Deryugina & Alexey Ponomarenko, 2021. "Explaining the lead–lag pattern in the money–inflation relationship: a microsimulation approach," Journal of Evolutionary Economics, Springer, vol. 31(4), pages 1113-1128, September.
    8. Salle, Isabelle & Seppecher, Pascal, 2018. "Stabilizing an unstable complex economy on the limitations of simple rules," Journal of Economic Dynamics and Control, Elsevier, vol. 91(C), pages 289-317.
    9. Szymon Chudziak, 2022. "On the sources of economic growth, structural consistency of agent-based models and mental-accounting consumer behaviour," KAE Working Papers 2022-073, Warsaw School of Economics, Collegium of Economic Analysis.
    10. Deryugina, Elena & Ponomarenko, Alexey & Rozhkova, Anna, 2020. "When are credit gap estimates reliable?," Economic Analysis and Policy, Elsevier, vol. 67(C), pages 221-238.
    11. Isabelle Salle & Pascal Seppecher, 2017. "Stabilizing an Unstable Complex Economy," Working Papers hal-01527740, HAL.
    12. Rzeszutek Marcin & Szyszka Adam & Okoń Szymon, 2023. "Behavioral biases in corporate risk management and investment decisions during the COVID-19 pandemic in Poland," International Journal of Management and Economics, Warsaw School of Economics, Collegium of World Economy, vol. 59(1), pages 70-76, March.
    13. Adalbert Mayer, 2022. "An Agent-Based Macroeconomic Model with Endogenous Intertemporal Decision Rules," Eastern Economic Journal, Palgrave Macmillan;Eastern Economic Association, vol. 48(4), pages 548-579, October.
    14. Ítalo Pedrosa & Dany Lang, 2021. "To what extent does aggregate leverage determine financial fragility? New insights from an agent-based stock-flow consistent model," Journal of Evolutionary Economics, Springer, vol. 31(4), pages 1221-1275, September.

  13. Hommes, C.H. & Massaro, D. & Salle, I., 2015. "Monetary and Fiscal Policy Design at the Zero Lower Bound - Evidence from the Lab," CeNDEF Working Papers 15-11, Universiteit van Amsterdam, Center for Nonlinear Dynamics in Economics and Finance.

    Cited by:

    1. Janet Hua Jiang & Daniela Puzzello & Cathy Zhang, 2023. "Inflation, Output, and Welfare in the Laboratory," Staff Working Papers 23-11, Bank of Canada.
    2. Ahrens, Steffen & Lustenhouwer, Joep & Tettamanzi, Michele, 2017. "The Stabilizing Role of Forward Guidance: A Macro Experiment," VfS Annual Conference 2017 (Vienna): Alternative Structures for Money and Banking 168063, Verein für Socialpolitik / German Economic Association.
    3. Bao, Te & Hommes, Cars & Pei, Jiaoying, 2021. "Expectation formation in finance and macroeconomics: A review of new experimental evidence," Journal of Behavioral and Experimental Finance, Elsevier, vol. 32(C).
    4. Camille Cornand & Frank Heinemann, 2018. "Monetary Policy obeying the Taylor Principle Turns Prices into Strategic Substitutes," Working Papers 1805, Groupe d'Analyse et de Théorie Economique Lyon St-Étienne (GATE Lyon St-Étienne), Université de Lyon.
    5. Fatemeh Mokhtarzadeh & Luba Petersen, 2021. "Coordinating expectations through central bank projections," Experimental Economics, Springer;Economic Science Association, vol. 24(3), pages 883-918, September.
    6. Cars Hommes & Anita Kopányi-Peuker & Joep Sonnemans, "undated". "Bubbles, crashes and information contagion in large-group asset market experiments," Tinbergen Institute Discussion Papers 19-016/II, Tinbergen Institute.
    7. Hommes, Cars & Lustenhouwer, Joep, 2019. "Inflation targeting and liquidity traps under endogenous credibility," Journal of Monetary Economics, Elsevier, vol. 107(C), pages 48-62.
    8. Assenza, T. & Heemeijer, P. & Hommes, C.H. & Massaro, D., 2014. "Managing Self-organization of Expectations through Monetary Policy: a Macro Experiment," CeNDEF Working Papers 14-07, Universiteit van Amsterdam, Center for Nonlinear Dynamics in Economics and Finance.
    9. Salle, Isabelle, 2022. "Comment on “No firm is an island? How industry conditions shape firms’ expectations” by Philippe Andrade, Olivier Coibion, Erwan Gautier and Yuriy Gorodnichenko," Journal of Monetary Economics, Elsevier, vol. 125(C), pages 57-61.
    10. Lustenhouwer, Joep, 2020. "Fiscal Stimulus In Expectations-Driven Liquidity Traps," Working Papers 0683, University of Heidelberg, Department of Economics.
    11. Myrna Hennequin & Cars Hommes, 2024. "Managing Bubbles in Experimental Asset Markets with Monetary Policy," Journal of Money, Credit and Banking, Blackwell Publishing, vol. 56(2-3), pages 429-454, March.
    12. Salle, Isabelle L., 2023. "What to target? Insights from a lab experiment," Journal of Economic Behavior & Organization, Elsevier, vol. 212(C), pages 514-533.
    13. Hommes, Cars & Makarewicz, Tomasz, 2021. "Price level versus inflation targeting under heterogeneous expectations: a laboratory experiment," Journal of Economic Behavior & Organization, Elsevier, vol. 182(C), pages 39-82.
    14. Hommes, Cars, 2018. "Behavioral & experimental macroeconomics and policy analysis: a complex systems approach," Working Paper Series 2201, European Central Bank.
    15. Lustenhouwer, Joep, 2020. "Fiscal stimulus in expectations-driven liquidity traps," Journal of Economic Behavior & Organization, Elsevier, vol. 177(C), pages 661-687.
    16. Rholes, Ryan & Petersen, Luba, 2021. "Should central banks communicate uncertainty in their projections?," Journal of Economic Behavior & Organization, Elsevier, vol. 183(C), pages 320-341.
    17. Petersen, Luba & Rholes, Ryan, 2022. "Macroeconomic expectations, central bank communication, and background uncertainty: A COVID-19 laboratory experiment," Journal of Economic Dynamics and Control, Elsevier, vol. 143(C).
    18. Jasmina Arifovic & Alex Grimaud & Isabelle Salle & Gauthier Vermandel, 2020. "Social Learning and Monetary Policy at the Effective Lower Bound," Staff Working Papers 20-2, Bank of Canada.
    19. Arifovic, Jasmina & Petersen, Luba, 2017. "Stabilizing expectations at the zero lower bound: Experimental evidence," Journal of Economic Dynamics and Control, Elsevier, vol. 82(C), pages 21-43.
    20. Oleksiy Kryvtsov & Luba Petersen, 2019. "Central Bank Communication That Works: Lessons from Lab Experiments," Staff Working Papers 19-21, Bank of Canada.
    21. Ryan Rholes & Luba Petersen, 2020. "Should central banks communicate uncertainty in their projections?," Discussion Papers dp20-01, Department of Economics, Simon Fraser University.
    22. Lustenhouwer, Joep, 2018. "Fiscal stimulus in an expectation driven liquidity trap," BERG Working Paper Series 138, Bamberg University, Bamberg Economic Research Group.
    23. Cars Hommes & Domenico Massaro & Matthias Weber, 2015. "Monetary Policy under Behavioral Expectations: Theory and Experiment," Tinbergen Institute Discussion Papers 15-087/II, Tinbergen Institute.
    24. Mayerhoffer, Daniel & Schulz-Gebhard, Jan, 2023. "Social segregation, misperceptions, and emergent cyclical choice patterns," BERG Working Paper Series 186, Bamberg University, Bamberg Economic Research Group.
    25. Mauersberger, Felix, 2021. "Monetary policy rules in a non-rational world: A macroeconomic experiment," Journal of Economic Theory, Elsevier, vol. 197(C).
    26. Nizam, Ahmed Mehedi, 2021. "Effect of Government Transfer on Money Supply: A Closer Look into the Interaction Between Monetary and Fiscal Policy," MPRA Paper 109394, University Library of Munich, Germany.

  14. Seppecher, P. & Salle, I., 2014. "Deleveraging crises and deep recessions: a behavioural approach," CeNDEF Working Papers 14-10, Universiteit van Amsterdam, Center for Nonlinear Dynamics in Economics and Finance.

    Cited by:

    1. Lilit Popoyan & Mauro Napoletano & Andrea Roventini, 2015. "Taming macroeconomic instability: Monetary and macro prudential policy interactions in an agent-based model," Working Papers hal-03459508, HAL.
    2. Francesco Lamperti & Antoine Mandel & Mauro Napoletano & Alessandro Sapio & Andrea Roventini & Tomas Balint & Igor Khorenzhenko, 2017. "Taming macroeconomic instability," Post-Print hal-03399574, HAL.
    3. Mauro Napoletano & Andrea Roventini & Jean-Luc Gaffard, 2015. "Time-Varying Fiscal Multipliers in an Agent-Based Model with Credit Rationing," LEM Papers Series 2015/19, Laboratory of Economics and Management (LEM), Sant'Anna School of Advanced Studies, Pisa, Italy.
    4. Joeri Schasfoort & Antoine Godin & Dirk Bezemer & Alessandro Caiani & Stephen Kinsella, 2017. "Monetary Policy Transmission In A Macroeconomic Agent-Based Model," Advances in Complex Systems (ACS), World Scientific Publishing Co. Pte. Ltd., vol. 20(08), pages 1-35, December.
    5. Gennaro Zezza & Michalis Nikiforos, 2017. "Stock-flow Consistent Macroeconomic Models: A Survey," EcoMod2017 10762, EcoMod.
    6. Gergely Varga & János Vincze, 2019. "Saver Types: An Evolutionary-Adaptive Approach," Society and Economy, Akadémiai Kiadó, Hungary, vol. 41(2), pages 263-287, June.
    7. Bauermann, Tom, 2020. "Governmental policies to reduce unemployment during recessions: Insights from an ABM," Ruhr Economic Papers 847, RWI - Leibniz-Institut für Wirtschaftsforschung, Ruhr-University Bochum, TU Dortmund University, University of Duisburg-Essen.
    8. Giorgio Fagiolo & Andrea Roventini, 2016. "Macroeconomic Policy in DSGE and Agent-Based Models Redux: New Developments and Challenges Ahead," LEM Papers Series 2016/17, Laboratory of Economics and Management (LEM), Sant'Anna School of Advanced Studies, Pisa, Italy.
    9. Song Joonhyuk & Ryu Doojin, 2021. "Houses as Collateral and Household Debt Deleveraging in Korea," Economics - The Open-Access, Open-Assessment Journal, De Gruyter, vol. 15(1), pages 3-27, January.
    10. 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.
    11. Mattia Guerini & Mauro Napoletano & Andrea Roventini, 2016. "No Man Is an Island: The Impact of Heterogeneity and Local Interactions on Macroeconomic Dynamics," LEM Papers Series 2016/24, Laboratory of Economics and Management (LEM), Sant'Anna School of Advanced Studies, Pisa, Italy.
    12. Hulya Dagdeviren & Jiayi Balasuriya & Christopher Nicholas, 2022. "Spatial dynamics of post-crisis deleveraging [Financial geography II: financial geographies of housing and real estate]," Journal of Economic Geography, Oxford University Press, vol. 22(6), pages 1225-1246.
    13. Seppecher, P. & Salle, I. & Lang, D., 2016. "Is the Market Really a Good Teacher?," CeNDEF Working Papers 16-04, Universiteit van Amsterdam, Center for Nonlinear Dynamics in Economics and Finance.
    14. Dawid, Herbert & Harting, Philipp & Neugart, Michael & Hoog, Sander van der, 2019. "Macroeconomics with heterogeneous agent models: fostering transparency, reproducibility and replication," Publications of Darmstadt Technical University, Institute for Business Studies (BWL) 113126, Darmstadt Technical University, Department of Business Administration, Economics and Law, Institute for Business Studies (BWL).
    15. Roberto Veneziani & Luca Zamparelli & Corrado Di Guilmi, 2017. "The Agent-Based Approach To Post Keynesian Macro-Modeling," Journal of Economic Surveys, Wiley Blackwell, vol. 31(5), pages 1183-1203, December.
    16. Lilit Popoyan & Mauro Napoletano & Andrea Roventini, 2019. "Winter is possibly not coming: mitigating financial instability in an agent-based model with interbank market," SciencePo Working papers Main hal-03403274, HAL.
    17. Li, Boyao, 2017. "The impact of the Basel III liquidity coverage ratio on macroeconomic stability: An agent-based approach," Economics Discussion Papers 2017-2, Kiel Institute for the World Economy (IfW Kiel).
    18. Laura Carvalho & Corrado Di Guilmi, 2020. "Technological unemployment and income inequality: a stock-flow consistent agent-based approach," Journal of Evolutionary Economics, Springer, vol. 30(1), pages 39-73, January.
    19. Kirschenmann, Karolin & Malinen, Tuomas & Nyberg, Henri, 2016. "The risk of financial crises: Is there a role for income inequality?," Journal of International Money and Finance, Elsevier, vol. 68(C), pages 161-180.
    20. Salle, Isabelle & Seppecher, Pascal, 2018. "Stabilizing an unstable complex economy on the limitations of simple rules," Journal of Economic Dynamics and Control, Elsevier, vol. 91(C), pages 289-317.
    21. Szymon Chudziak, 2022. "On the sources of economic growth, structural consistency of agent-based models and mental-accounting consumer behaviour," KAE Working Papers 2022-073, Warsaw School of Economics, Collegium of Economic Analysis.
    22. Huub Meijers & Önder Nomaler & Bart Verspagen, 2019. "Demand, credit and macroeconomic dynamics. A micro simulation model," Journal of Evolutionary Economics, Springer, vol. 29(1), pages 337-364, March.
    23. Giorgio Fagiolo & Andrea Roventini, 2016. "Macroeconomic Policy in DGSE and Agent-Based Models Redux," Working Papers hal-03459348, HAL.
    24. Federico Bassi & Dany Lang, 2016. "Investment hysteresis and potential output: a post-Keynesian-Kaleckian agent-based approach," Post-Print hal-01406441, HAL.
    25. Alessio Emanuele Biondo, 2023. "Mr.Keynes and the... Complexity! A suggested agent-based version of the General Theory of Employment, Interest and Money," Papers 2303.00889, arXiv.org, revised Mar 2023.
    26. Arpan Chakraborty, 2024. "Beyond Rationality: Unveiling the Role of Animal Spirits and Inflation Extrapolation in Central Bank Communication of the US," Papers 2409.10938, arXiv.org.
    27. Guilmi, Corrado Di & Fujiwara, Yoshi, 2022. "Dual labor market, financial fragility, and deflation in an agent-based model of the Japanese macroeconomy," Journal of Economic Behavior & Organization, Elsevier, vol. 196(C), pages 346-371.
    28. Mauro Napoletano & Andrea Roventini & Jean Luc Gaffard, 2015. "Toward a low carbon growth in Mexico : is a double dividend possible ? A dynamic general equilibrium assessment," Documents de Travail de l'OFCE 2015-25, Observatoire Francais des Conjonctures Economiques (OFCE).
    29. Emanuele Russo, 2017. "Harrodian instability in decentralized economies: an agent-based approach," LEM Papers Series 2017/17, Laboratory of Economics and Management (LEM), Sant'Anna School of Advanced Studies, Pisa, Italy.
    30. Emanuele Russo, 2021. "Harrodian instability in decentralized economies: an agent-based approach," Economia Politica: Journal of Analytical and Institutional Economics, Springer;Fondazione Edison, vol. 38(2), pages 539-567, July.
    31. Lilit Popoyan, 2020. "Macroprudential Policy: a Blessing or a Curse?," Review of Economics and Institutions, Università di Perugia, vol. 11(1-2).
    32. Bi-Huei Tsai, 2017. "Predicting the competitive relationships of industrial production between Taiwan and China using Lotka–Volterra model," Applied Economics, Taylor & Francis Journals, vol. 49(25), pages 2428-2442, May.
    33. 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).

  15. Isabelle Salle & Murat Yildizoglu & Marc-Alexandre Sénégas, 2013. "Inflation targeting in a learning economy: an ABM perspective," Post-Print hal-00778979, HAL.

    Cited by:

    1. Shea, Paul, 2015. "Red herrings and revelations: does learning about a new variable worsen forecasts?," Economic Modelling, Elsevier, vol. 49(C), pages 395-406.
    2. Roos, Michael W. M., 2015. "The macroeconomics of radical uncertainty," Ruhr Economic Papers 592, RWI - Leibniz-Institut für Wirtschaftsforschung, Ruhr-University Bochum, TU Dortmund University, University of Duisburg-Essen.
    3. Campiglio, Emanuele & Lamperti, Francesco & Terranova, Roberta, 2024. "Believe me when I say green! Heterogeneous expectations and climate policy uncertainty," LSE Research Online Documents on Economics 124234, London School of Economics and Political Science, LSE Library.
    4. Isabelle SALLE & Marc-Alexandre SENEGAS & Murat YILDIZOGLU, 2013. "How Transparent About Its Inflation Target Should a Central Bank be? An Agent-Based Model Assessment," Cahiers du GREThA (2007-2019) 2013-24, Groupe de Recherche en Economie Théorique et Appliquée (GREThA).
    5. Jean-Luc Gaffard & Mauro Napoletano, 2018. "Hétérogénéité des agents, interconnexions financières et politique monétaire : une approche non conventionnelle," SciencePo Working papers Main hal-03458429, HAL.
    6. Giovanni Dosi & Giorgio Fagiolo & Mauro Napoletano & Andrea Roventini & Tania Treibich, 2014. "Fiscal and monetary policies in complex evolving economies," Working Papers hal-03460560, HAL.
    7. Hommes, Cars & Lustenhouwer, Joep, 2019. "Inflation targeting and liquidity traps under endogenous credibility," Journal of Monetary Economics, Elsevier, vol. 107(C), pages 48-62.
    8. Giorgio Fagiolo & Andrea Roventini, 2016. "Macroeconomic Policy in DSGE and Agent-Based Models Redux: New Developments and Challenges Ahead," LEM Papers Series 2016/17, Laboratory of Economics and Management (LEM), Sant'Anna School of Advanced Studies, Pisa, Italy.
    9. Jean-Luc Gaffard & Mauro Napoletano, 2018. "Market disequilibrium, monetary policy, and financial markets : insights from new tools," Documents de Travail de l'OFCE 2018-21, Observatoire Francais des Conjonctures Economiques (OFCE).
    10. Özge Dilaver & Robert Jump & Paul Levine, 2016. "Agent-based Macroeconomics and Dynamic Stochastic General Equilibrium Models: Where do we go from here?," School of Economics Discussion Papers 0116, School of Economics, University of Surrey.
    11. Giovanni Dosi & Mauro Napoletano & Andrea Roventini & Tania Treibich, 2014. "The Short- and Long-Run Damages of Fiscal Austerity: Keynes beyond Schumpeter," LEM Papers Series 2014/22, Laboratory of Economics and Management (LEM), Sant'Anna School of Advanced Studies, Pisa, Italy.
    12. Krug, Sebastian, 2018. "The interaction between monetary and macroprudential policy: Should central banks 'lean against the wind' to foster macro-financial stability?," Economics - The Open-Access, Open-Assessment E-Journal (2007-2020), Kiel Institute for the World Economy (IfW Kiel), vol. 12, pages 1-69.
    13. Douglas Silveira & Ricardo B. L. M. Oscar, 2024. "Inflation Targeting Regimes in Emerging Market Economies: To Invest or Not to Invest?," Computational Economics, Springer;Society for Computational Economics, vol. 64(4), pages 2097-2129, October.
    14. Giri, Federico & Riccetti, Luca & Russo, Alberto & Gallegati, Mauro, 2016. "Monetary policy and large crises in a financial accelerator agent-based model," FinMaP-Working Papers 65, Collaborative EU Project FinMaP - Financial Distortions and Macroeconomic Performance: Expectations, Constraints and Interaction of Agents.
    15. Nikolas Schiozer & Gilberto Tadeu Lima & Michel Alexandre, 2024. "Heterogeneity in pricing behavior in hybrid DSGE-ABM macrodynamics," Working Papers, Department of Economics 2024_26, University of São Paulo (FEA-USP).
    16. Isabelle Salle & Marc-Alexandre Sénégas & Murat Yıldızoğlu, 2019. "How transparent about its inflation target should a central bank be?," Journal of Evolutionary Economics, Springer, vol. 29(1), pages 391-427, March.
    17. Agliari, A. & Massaro, D. & Pecora, N. & Spelta, A., 2014. "Inflation Targeting, Recursive Inattentiveness and Heterogeneous Beliefs," CeNDEF Working Papers 14-12, Universiteit van Amsterdam, Center for Nonlinear Dynamics in Economics and Finance.
    18. Jean-Philippe Bouchaud & Stanislao Gualdi & Marco Tarzia & Francesco Zamponi, 2018. "Optimal inflation target: insights from an agent-based model," Post-Print hal-01768441, HAL.
    19. Sinitskaya, Ekaterina & Tesfatsion, Leigh, 2015. "Macroeconomies as constructively rational games," ISU General Staff Papers 201501010800001008, Iowa State University, Department of Economics.
    20. Francesco LISSONI & Michele PEZZONI & Bianca POTI & Sandra ROMAGNOSI, 2012. "University autonomy, IP legislation and academic patenting: Italy, 1996-2007," Cahiers du GREThA (2007-2019) 2012-26, Groupe de Recherche en Economie Théorique et Appliquée (GREThA).
    21. Haryo Kuncoro, 2020. "Interest Rate Policy and Exchange Rates Volatility Lessons from Indonesia," Journal of Central Banking Theory and Practice, Central bank of Montenegro, vol. 9(2), pages 19-42.
    22. Tang, Ling & Wu, Jiaqian & Yu, Lean & Bao, Qin, 2015. "Carbon emissions trading scheme exploration in China: A multi-agent-based model," Energy Policy, Elsevier, vol. 81(C), pages 152-169.
    23. Michael W. M. Roos, 2018. "Endogenous Economic Growth, Climate Change and Societal Values: A Conceptual Model," Computational Economics, Springer;Society for Computational Economics, vol. 52(3), pages 995-1028, October.
    24. Juan Camilo Galvis Ciro & Helder Ferreira de Mendonça, 2017. "Effect of credibility and reputation on discretionary fiscal policy: empirical evidence from Colombia," Empirical Economics, Springer, vol. 53(4), pages 1529-1552, December.
    25. Zhang, Jinyu & Zhang, Qiaosen & Li, Yong & Wang, Qianchao, 2023. "Sequential Bayesian inference for agent-based models with application to the Chinese business cycle," Economic Modelling, Elsevier, vol. 126(C).
    26. Caiani, Alessandro & Godin, Antoine & Caverzasi, Eugenio & Gallegati, Mauro & Kinsella, Stephen & Stiglitz, Joseph E., 2016. "Agent based-stock flow consistent macroeconomics: Towards a benchmark model," Journal of Economic Dynamics and Control, Elsevier, vol. 69(C), pages 375-408.
    27. Gobbi, Alessandro & Grazzini, Jakob, 2019. "A basic New Keynesian DSGE model with dispersed information: An agent-based approach," Journal of Economic Behavior & Organization, Elsevier, vol. 157(C), pages 101-116.
    28. Leonardo Ciambezi & Mattia Guerini & Mauro Napoletano & Andrea Roventini, 2024. "Accounting for the Multiple Sources of Inflation: an Agent-Based Model Investigation," LEM Papers Series 2024/15, Laboratory of Economics and Management (LEM), Sant'Anna School of Advanced Studies, Pisa, Italy.
    29. Giorgio Fagiolo & Andrea Roventini, 2016. "Macroeconomic Policy in DGSE and Agent-Based Models Redux," Working Papers hal-03459348, HAL.
    30. Gayaker, Savas & Ağaslan, Erkan & Alkan, Buket & Çiçek, Serkan, 2021. "The deterioration in credibility, destabilization of exchange rate and the rise in exchange rate pass-through in Turkey," International Review of Economics & Finance, Elsevier, vol. 76(C), pages 571-587.
    31. Alessio Emanuele Biondo, 2023. "Mr.Keynes and the... Complexity! A suggested agent-based version of the General Theory of Employment, Interest and Money," Papers 2303.00889, arXiv.org, revised Mar 2023.
    32. Alvarez, Emiliano & Brida, Juan Gabriel, 2019. "What about the others? Consensus and equilibria in the presence of self-interest and conformity in social groups," Physica A: Statistical Mechanics and its Applications, Elsevier, vol. 518(C), pages 285-298.
    33. Krug, Sebastian, 2017. "The interaction between monetary and macroprudential policy: Should central banks "lean against the wind" to foster macro-financial stability?," Economics Discussion Papers 2017-85, Kiel Institute for the World Economy (IfW Kiel).
    34. Pooja Kapoor & Sujata Kar, 2023. "A review of inflation expectations and perceptions research in the past four decades: a bibliometric analysis," International Economics and Economic Policy, Springer, vol. 20(2), pages 279-302, May.
    35. Gross, Marco, 2022. "Beautiful cycles: A theory and a model implying a curious role for interest," Economic Modelling, Elsevier, vol. 106(C).
    36. Salle, Isabelle L., 2015. "Modeling expectations in agent-based models — An application to central bank's communication and monetary policy," Economic Modelling, Elsevier, vol. 46(C), pages 130-141.
    37. Emanuele Russo, 2021. "Harrodian instability in decentralized economies: an agent-based approach," Economia Politica: Journal of Analytical and Institutional Economics, Springer;Fondazione Edison, vol. 38(2), pages 539-567, July.
    38. 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.
    39. Zhang, Wei & Li, Guoxiang & Guo, Fanyong, 2022. "Does carbon emissions trading promote green technology innovation in China?," Applied Energy, Elsevier, vol. 315(C).
    40. Francesco Sergi, 2020. "The Standard Narrative about DSGE Models in Central Banks’ Technical Reports," The European Journal of the History of Economic Thought, Taylor & Francis Journals, vol. 27(2), pages 163-193, March.
    41. Bouchaud, Jean-Philippe & Gualdi, Stanislao & Tarzia, Marco & Zamponi, Francesco, 2018. "Optimal inflation target: Insights from an agent-based model," Economics - The Open-Access, Open-Assessment E-Journal (2007-2020), Kiel Institute for the World Economy (IfW Kiel), vol. 12, pages 1-27.

  16. Isabelle SALLE & Marc-Alexandre SENEGAS & Murat YILDIZOGLU, 2013. "How Transparent About Its Inflation Target Should a Central Bank be? An Agent-Based Model Assessment," Cahiers du GREThA (2007-2019) 2013-24, Groupe de Recherche en Economie Théorique et Appliquée (GREThA).

    Cited by:

    1. Krug, Sebastian, 2018. "The interaction between monetary and macroprudential policy: Should central banks 'lean against the wind' to foster macro-financial stability?," Economics - The Open-Access, Open-Assessment E-Journal (2007-2020), Kiel Institute for the World Economy (IfW Kiel), vol. 12, pages 1-69.
    2. Jean-Philippe Bouchaud & Stanislao Gualdi & Marco Tarzia & Francesco Zamponi, 2018. "Optimal inflation target: insights from an agent-based model," Post-Print hal-01768441, HAL.
    3. Helder Mendonça & Felipe Tostes, 2015. "The Effect of Monetary and Fiscal Credibility on Exchange Rate Pass-Through in an Emerging Economy," Open Economies Review, Springer, vol. 26(4), pages 787-816, September.
    4. Szymon Chudziak, 2022. "On the sources of economic growth, structural consistency of agent-based models and mental-accounting consumer behaviour," KAE Working Papers 2022-073, Warsaw School of Economics, Collegium of Economic Analysis.
    5. Helder Ferreira Mendonça & André Filipe Guedes Almeida, 2019. "Importance of credibility for business confidence: evidence from an emerging economy," Empirical Economics, Springer, vol. 57(6), pages 1979-1996, December.
    6. de Mendonça, Helder Ferreira, 2018. "Credibility and Inflation Expectations: What we can tell from seven emerging economies?," Journal of Policy Modeling, Elsevier, vol. 40(6), pages 1165-1181.
    7. Bruno Pires Tiberto & Helder Ferreira de Mendonça, 2023. "Effects of Sustainable Monetary and Fiscal Policy on FDI Inflows to EMDE Countries," Working Papers Series 575, Central Bank of Brazil, Research Department.
    8. de Mendonça, Helder Ferreira & Tiberto, Bruno Pires, 2017. "Effect of credibility and exchange rate pass-through on inflation: An assessment for developing countries," International Review of Economics & Finance, Elsevier, vol. 50(C), pages 196-244.
    9. Krug, Sebastian, 2017. "The interaction between monetary and macroprudential policy: Should central banks "lean against the wind" to foster macro-financial stability?," Economics Discussion Papers 2017-85, Kiel Institute for the World Economy (IfW Kiel).
    10. Pooja Kapoor & Sujata Kar, 2023. "A review of inflation expectations and perceptions research in the past four decades: a bibliometric analysis," International Economics and Economic Policy, Springer, vol. 20(2), pages 279-302, May.
    11. Salle, Isabelle L., 2015. "Modeling expectations in agent-based models — An application to central bank's communication and monetary policy," Economic Modelling, Elsevier, vol. 46(C), pages 130-141.
    12. Helder Ferreira de Mendonça & Pedro Mendes Garcia & José Valentim Machado Vicente, 2021. "Rationality and anchoring of inflation expectations: An assessment from survey‐based and market‐based measures," Journal of Forecasting, John Wiley & Sons, Ltd., vol. 40(6), pages 1027-1053, September.
    13. Bouchaud, Jean-Philippe & Gualdi, Stanislao & Tarzia, Marco & Zamponi, Francesco, 2018. "Optimal inflation target: Insights from an agent-based model," Economics - The Open-Access, Open-Assessment E-Journal (2007-2020), Kiel Institute for the World Economy (IfW Kiel), vol. 12, pages 1-27.

  17. Isabelle Salle, 2013. "Ciblage de l’inflation,transparence et anticipations – une revue de la littérature récente," Post-Print hal-01135592, HAL.

    Cited by:

    1. Zeev Kril & David Leiser & Avia Spivak, 2016. "What Determines the Credibility of the Central Bank of Israel in the Public Eye?," International Journal of Central Banking, International Journal of Central Banking, vol. 12(1), pages 67-93, March.
    2. Martin ZUMPE, 2015. "The New Keynesian Model: an Interpretation of Michael Woodford\'s \"Interest and Prices\" (In French)," Cahiers du GREThA (2007-2019) 2015-30, Groupe de Recherche en Economie Théorique et Appliquée (GREThA).

  18. Isabelle Salle & Pascal Seppecher, 2013. "Social Learning about Consumption," GREDEG Working Papers 2013-18, Groupe de REcherche en Droit, Economie, Gestion (GREDEG CNRS), Université Côte d'Azur, France, revised Sep 2013.

    Cited by:

    1. Seppecher, P. & Salle, I. & Lang, D., 2016. "Is the Market Really a Good Teacher?," CeNDEF Working Papers 16-04, Universiteit van Amsterdam, Center for Nonlinear Dynamics in Economics and Finance.
    2. Isabelle Salle & Murat Yildizoglu & Martin Zumpe & Marc-Alexandre Sénégas, 2017. "Coordination through social learning in a general equilibrium model," Post-Print hal-01848386, HAL.

  19. Isabelle SALLE & Martin ZUMPE & Murat YILDIZOGLU & Marc-Alexandre SENEGAS, 2012. "Modelling Social Learning in an Agent-Based New Keynesian Macroeconomic Model," Cahiers du GREThA (2007-2019) 2012-20, Groupe de Recherche en Economie Théorique et Appliquée (GREThA).

    Cited by:

    1. Lengnick, Matthias, 2011. "Agent-based macroeconomics - a baseline model," Economics Working Papers 2011-04, Christian-Albrechts-University of Kiel, Department of Economics.
    2. 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.
    3. Isabelle SALLE & Marc-Alexandre SENEGAS & Murat YILDIZOGLU, 2013. "How Transparent About Its Inflation Target Should a Central Bank be? An Agent-Based Model Assessment," Cahiers du GREThA (2007-2019) 2013-24, Groupe de Recherche en Economie Théorique et Appliquée (GREThA).
    4. Lissoni, Francesco & Montobbio, Fabio, 2012. "The ownership of academic patents and their impact. Evidence from five European countries," Department of Economics and Statistics Cognetti de Martiis LEI & BRICK - Laboratory of Economics of Innovation "Franco Momigliano", Bureau of Research in Innovation, Complexity and Knowledge, Collegio 201220, University of Turin.
    5. Isabelle SALLE & Martin ZUMPE & Murat YILDIZOGLU & Marc-Alexandre SENEGAS, 2012. "Modelling Social Learning in an Agent-Based New Keynesian Macroeconomic Model," Cahiers du GREThA (2007-2019) 2012-20, Groupe de Recherche en Economie Théorique et Appliquée (GREThA).
    6. 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.
    7. Salle, Isabelle & Seppecher, Pascal, 2016. "Social Learning About Consumption," Macroeconomic Dynamics, Cambridge University Press, vol. 20(7), pages 1795-1825, October.
    8. Emmanuel PETIT & Anna TCHERKASSOF & Xavier GASSMANN, 2012. "Sincere Giving and Shame in a Dictator Game," Cahiers du GREThA (2007-2019) 2012-25, Groupe de Recherche en Economie Théorique et Appliquée (GREThA).

  20. Murat YILDIZOGLU & Isabelle SALLE, 2012. "Efficient Sampling and Metamodeling for Computational Economic Models," Cahiers du GREThA (2007-2019) 2012-18, Groupe de Recherche en Economie Théorique et Appliquée (GREThA).

    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. Christian Troost & Julia Parussis-Krech & Matías Mejaíl & Thomas Berger, 2023. "Boosting the Scalability of Farm-Level Models: Efficient Surrogate Modeling of Compositional Simulation Output," Computational Economics, Springer;Society for Computational Economics, vol. 62(3), pages 721-759, October.
    3. 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.
    4. Ernesto Carrella & Richard M. Bailey & Jens Koed Madsen, 2018. "Indirect inference through prediction," Papers 1807.01579, arXiv.org.
    5. Francesco Lamperti & Andrea Roventini & Amir Sani, 2017. "Agent-Based Model Calibration using Machine Learning Surrogates," Papers 1703.10639, arXiv.org, revised Apr 2017.
    6. 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.
    7. Isabelle SALLE & Marc-Alexandre SENEGAS & Murat YILDIZOGLU, 2013. "How Transparent About Its Inflation Target Should a Central Bank be? An Agent-Based Model Assessment," Cahiers du GREThA (2007-2019) 2013-24, Groupe de Recherche en Economie Théorique et Appliquée (GREThA).
    8. Giovanni Dosi & Richard B. Freeman & Marcelo C. Pereira & Andrea Roventini & Maria Enrica Virgillito, 2020. "The Impact of Deunionization on the Growth and Dispersion of Productivity and Pay," Documents de Travail de l'OFCE 2020-05, Observatoire Francais des Conjonctures Economiques (OFCE).
    9. 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.
    10. Domenico Delli Gatti & Jakob Grazzini, 2019. "Rising to the Challenge: Bayesian Estimation and Forecasting Techniques for Macroeconomic Agent-Based Models," CESifo Working Paper Series 7894, CESifo.
    11. Sylvain Barde & Ofce Observatoire Français Des Conjonctures Économiques, 2016. "Direct comparison of agent-based models of herding in financial markets," Post-Print hal-03604749, HAL.
    12. G. Dosi & M. C. Pereira & M. E. Virgillito, 2018. "On the robustness of the fat-tailed distribution of firm growth rates: a global sensitivity analysis," Journal of Economic Interaction and Coordination, Springer;Society for Economic Science with Heterogeneous Interacting Agents, vol. 13(1), pages 173-193, April.
    13. Giorgio Fagiolo & Andrea Roventini, 2016. "Macroeconomic Policy in DSGE and Agent-Based Models Redux: New Developments and Challenges Ahead," LEM Papers Series 2016/17, Laboratory of Economics and Management (LEM), Sant'Anna School of Advanced Studies, Pisa, Italy.
    14. Caiani, Alessandro & Russo, Alberto & Gallegati, Mauro, 2017. "Are higher wages good for business? An assessment under alternative innovation and investment scenarios," MPRA Paper 80439, University Library of Munich, Germany.
    15. 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.
    16. Sander Hoog, 2019. "Surrogate Modelling in (and of) Agent-Based Models: A Prospectus," Computational Economics, Springer;Society for Computational Economics, vol. 53(3), pages 1245-1263, March.
    17. Platt, Donovan, 2020. "A comparison of economic agent-based model calibration methods," Journal of Economic Dynamics and Control, Elsevier, vol. 113(C).
    18. Ziesmer, Johannes & Jin, Ding & Mukashov, Askar & Henning, Christian, 2023. "Integrating fundamental model uncertainty in policy analysis," Socio-Economic Planning Sciences, Elsevier, vol. 87(PB).
    19. Sylvain Barde & Sander van der Hoog, 2017. "An empirical validation protocol for large-scale agent-based models," Studies in Economics 1712, School of Economics, University of Kent.
    20. Vivien Lespagnol & Juliette Rouchier, 2018. "Trading Volume and Price Distortion: An Agent-Based Model with Heterogenous Knowledge of Fundamentals," Computational Economics, Springer;Society for Computational Economics, vol. 51(4), pages 991-1020, April.
    21. Isabelle Salle & Marc-Alexandre Sénégas & Murat Yıldızoğlu, 2019. "How transparent about its inflation target should a central bank be?," Journal of Evolutionary Economics, Springer, vol. 29(1), pages 391-427, March.
    22. 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.
    23. Leonardo Bargigli & Luca Riccetti & Alberto Russo & Mauro Gallegati, 2016. "Network Calibration and Metamodeling of a Financial Accelerator Agent Based Model," Working Papers - Economics wp2016_01.rdf, Universita' degli Studi di Firenze, Dipartimento di Scienze per l'Economia e l'Impresa.
    24. Giorgio Fagiolo & Mattia Guerini & Francesco Lamperti & Alessio Moneta & Andrea Roventini, 2017. "Validation of Agent-Based Models in Economics and Finance," LEM Papers Series 2017/23, Laboratory of Economics and Management (LEM), Sant'Anna School of Advanced Studies, Pisa, Italy.
    25. Francesco LISSONI & Michele PEZZONI & Bianca POTI & Sandra ROMAGNOSI, 2012. "University autonomy, IP legislation and academic patenting: Italy, 1996-2007," Cahiers du GREThA (2007-2019) 2012-26, Groupe de Recherche en Economie Théorique et Appliquée (GREThA).
    26. Laura Carvalho & Corrado Di Guilmi, 2020. "Technological unemployment and income inequality: a stock-flow consistent agent-based approach," Journal of Evolutionary Economics, Springer, vol. 30(1), pages 39-73, January.
    27. 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.
    28. Giovanni Dosi & Marcelo C. Pereira & Andrea Roventini & Maria Enrica Virgillito, 2022. "A complexity view on the future of work. Meta-modelling exploration of the multi-sector K+S agent based model," LEM Papers Series 2022/22, Laboratory of Economics and Management (LEM), Sant'Anna School of Advanced Studies, Pisa, Italy.
    29. 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.
    30. 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.
    31. 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.
    32. Leonardo Bargigli & Filippo Pietrini, 2024. "Conformism, distinction and heterogeneity in an agent-based model of fads," Journal of Economic Interaction and Coordination, Springer;Society for Economic Science with Heterogeneous Interacting Agents, vol. 19(4), pages 807-829, October.
    33. Lilian N. Rolim & Carolina Troncoso Baltar & Gilberto Tadeu Lima, 2023. "Income distribution, productivity growth, and workers’ bargaining power in an agent-based macroeconomic model," Journal of Evolutionary Economics, Springer, vol. 33(2), pages 473-516, April.
    34. Barde, Sylvain, 2024. "Bayesian estimation of large-scale simulation models with Gaussian process regression surrogates," Computational Statistics & Data Analysis, Elsevier, vol. 196(C).
    35. 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.
    36. Giovanni Dosi & Marcelo C. Pereira & Andrea Roventini & Maria Enrica Virgillito, 2017. "Causes and Consequences of Hysteresis: Aggregate Demand, Productivity and Employment," LEM Papers Series 2017/07, Laboratory of Economics and Management (LEM), Sant'Anna School of Advanced Studies, Pisa, Italy.
    37. Donovan Platt, 2019. "A Comparison of Economic Agent-Based Model Calibration Methods," Papers 1902.05938, arXiv.org.
    38. 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.
    39. Caiani, Alessandro & Catullo, Ermanno & Gallegati, Mauro, 2019. "The effects of alternative wage regimes in a monetary union: A multi-country agent based-stock flow consistent model," Journal of Economic Behavior & Organization, Elsevier, vol. 162(C), pages 389-416.
    40. Guilmi, Corrado Di & Fujiwara, Yoshi, 2022. "Dual labor market, financial fragility, and deflation in an agent-based model of the Japanese macroeconomy," Journal of Economic Behavior & Organization, Elsevier, vol. 196(C), pages 346-371.
    41. Severin Reissl & Alessandro Caiani & Francesco Lamperti & Mattia Guerini & Fabio Vanni & Giorgio Fagiolo & Tommaso Ferraresi & Leonardo Ghezzi & Mauro Napoletano & Andrea Roventini, 2021. "Assessing the economic effects of lockdowns in Italy: a computational Input-Output approach," LEM Papers Series 2021/03, Laboratory of Economics and Management (LEM), Sant'Anna School of Advanced Studies, Pisa, Italy.
    42. Sander van der Hoog, 2017. "Deep Learning in (and of) Agent-Based Models: A Prospectus," Papers 1706.06302, arXiv.org.
    43. Vivien Lespagnol & Juliette Rouchier, 2018. "Trading Volume and Price Distortion: An Agent-Based Model with Heterogenous Knowledge of Fundamentals," Post-Print hal-02084910, HAL.
    44. Johannes Ziesmer & Ding Jin & Sneha D Thube & Christian Henning, 2023. "A Dynamic Baseline Calibration Procedure for CGE models," Computational Economics, Springer;Society for Computational Economics, vol. 61(4), pages 1331-1368, April.
    45. Ítalo Pedrosa & Dany Lang, 2021. "To what extent does aggregate leverage determine financial fragility? New insights from an agent-based stock-flow consistent model," Journal of Evolutionary Economics, Springer, vol. 31(4), pages 1221-1275, September.

  21. Murat Yildizoglu & Marc-Alexandre Sénégas & Isabelle Salle & Martin Zumpe, 2011. "Learning the optimal buffer-stock consumption rule of Carroll," Post-Print hal-00645763, HAL.

    Cited by:

    1. Isabelle Salle & Murat Yıldızoğlu, 2014. "Efficient Sampling and Meta-Modeling for Computational Economic Models," Computational Economics, Springer;Society for Computational Economics, vol. 44(4), pages 507-536, December.
    2. Rostam-Afschar, Davud & Meissner, Thomas, 2014. "Do tax cuts increase consumption? An experimental test of Ricardian Equivalence," VfS Annual Conference 2014 (Hamburg): Evidence-based Economic Policy 100348, Verein für Socialpolitik / German Economic Association.
    3. Isabelle SALLE & Marc-Alexandre SENEGAS & Murat YILDIZOGLU, 2013. "How Transparent About Its Inflation Target Should a Central Bank be? An Agent-Based Model Assessment," Cahiers du GREThA (2007-2019) 2013-24, Groupe de Recherche en Economie Théorique et Appliquée (GREThA).
    4. Isabelle SALLE & Murat YILDIZOGLU & Marc-Alexandre SENEGAS, 2012. "Inflation targeting in a learning economy: An ABM perspective," Cahiers du GREThA (2007-2019) 2012-15, Groupe de Recherche en Economie Théorique et Appliquée (GREThA).
    5. Arifovic, Jasmina & Yıldızoğlu, Murat, 2019. "Learning the Ramsey outcome in a Kydland & Prescott economy," Journal of Economic Behavior & Organization, Elsevier, vol. 157(C), pages 191-208.
    6. Isabelle Salle & Marc-Alexandre Sénégas & Murat Yıldızoğlu, 2019. "How transparent about its inflation target should a central bank be?," Journal of Evolutionary Economics, Springer, vol. 29(1), pages 391-427, March.
    7. Salle, Isabelle & Seppecher, Pascal, 2016. "Social Learning About Consumption," Macroeconomic Dynamics, Cambridge University Press, vol. 20(7), pages 1795-1825, October.
    8. Salle, Isabelle L., 2015. "Modeling expectations in agent-based models — An application to central bank's communication and monetary policy," Economic Modelling, Elsevier, vol. 46(C), pages 130-141.

Articles

  1. Salle, Isabelle L., 2023. "What to target? Insights from a lab experiment," Journal of Economic Behavior & Organization, Elsevier, vol. 212(C), pages 514-533.
    See citations under working paper version above.
  2. Jasmina Arifovic & Cars Hommes & Anita Kopányi-Peuker & Isabelle Salle, 2023. "Ten Isn't Large! Group Size and Coordination in a Large-Scale Experiment," American Economic Journal: Microeconomics, American Economic Association, vol. 15(1), pages 580-617, February.
    See citations under working paper version above.
  3. Evans, George W. & Hommes, Cars & McGough, Bruce & Salle, Isabelle, 2022. "Are long-horizon expectations (de-)stabilizing? Theory and experiments," Journal of Monetary Economics, Elsevier, vol. 132(C), pages 44-63.
    See citations under working paper version above.
  4. Salle, Isabelle, 2022. "Comment on “No firm is an island? How industry conditions shape firms’ expectations” by Philippe Andrade, Olivier Coibion, Erwan Gautier and Yuriy Gorodnichenko," Journal of Monetary Economics, Elsevier, vol. 125(C), pages 57-61.

    Cited by:

    1. Lustenhouwer, Joep & Salle, Isabelle, 2022. "Forecast revisions in the presence of news: a lab investigation," Working Papers 0714, University of Heidelberg, Department of Economics.

  5. Hodbod, Alexander & Hommes, Cars & Huber, Stefanie J. & Salle, Isabelle, 2021. "The COVID-19 consumption game-changer: Evidence from a large-scale multi-country survey," European Economic Review, Elsevier, vol. 140(C).
    See citations under working paper version above.
  6. Cars Hommes & Domenico Massaro & Isabelle Salle, 2019. "Monetary And Fiscal Policy Design At The Zero Lower Bound: Evidence From The Lab," Economic Inquiry, Western Economic Association International, vol. 57(2), pages 1120-1140, April.
    See citations under working paper version above.
  7. Pascal Seppecher & Isabelle Salle & Dany Lang, 2019. "Is the market really a good teacher?," Journal of Evolutionary Economics, Springer, vol. 29(1), pages 299-335, March.
    See citations under working paper version above.
  8. Arifovic, Jasmina & Hommes, Cars & Salle, Isabelle, 2019. "Learning to believe in simple equilibria in a complex OLG economy - evidence from the lab," Journal of Economic Theory, Elsevier, vol. 183(C), pages 106-182.
    See citations under working paper version above.
  9. Isabelle Salle & Marc-Alexandre Sénégas & Murat Yıldızoğlu, 2019. "How transparent about its inflation target should a central bank be?," Journal of Evolutionary Economics, Springer, vol. 29(1), pages 391-427, March.

    Cited by:

    1. Douglas Silveira & Ricardo B. L. M. Oscar, 2024. "Inflation Targeting Regimes in Emerging Market Economies: To Invest or Not to Invest?," Computational Economics, Springer;Society for Computational Economics, vol. 64(4), pages 2097-2129, October.
    2. 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.
    3. de Mendonça, Helder Ferreira & Tiberto, Bruno Pires, 2024. "Are prudent monetary and fiscal policy drivers of FDI inflows?," Latin American Journal of Central Banking (previously Monetaria), Elsevier, vol. 5(1).
    4. Bruno Pires Tiberto & Helder Ferreira de Mendonça, 2023. "Effects of Sustainable Monetary and Fiscal Policy on FDI Inflows to EMDE Countries," Working Papers Series 575, Central Bank of Brazil, Research Department.
    5. Pooja Kapoor & Sujata Kar, 2023. "A review of inflation expectations and perceptions research in the past four decades: a bibliometric analysis," International Economics and Economic Policy, Springer, vol. 20(2), pages 279-302, May.
    6. Yingying Xu & Zhixin Liu & Jingjing Chen & Sultan Salem, 2024. "How official TV news affect public inflation expectations? Evidence from the Chinese national broadcaster China Central Television," International Journal of Finance & Economics, John Wiley & Sons, Ltd., vol. 29(1), pages 819-831, January.
    7. Helder Ferreira de Mendonça & Pedro Mendes Garcia & José Valentim Machado Vicente, 2021. "Rationality and anchoring of inflation expectations: An assessment from survey‐based and market‐based measures," Journal of Forecasting, John Wiley & Sons, Ltd., vol. 40(6), pages 1027-1053, September.

  10. Pascal Seppecher & Isabelle L Salle & Marc Lavoie, 2018. "What drives markups? Evolutionary pricing in an agent-based stock-flow consistent macroeconomic model," Industrial and Corporate Change, Oxford University Press and the Associazione ICC, vol. 27(6), pages 1045-1067.
    See citations under working paper version above.
  11. Salle, Isabelle & Seppecher, Pascal, 2018. "Stabilizing an unstable complex economy on the limitations of simple rules," Journal of Economic Dynamics and Control, Elsevier, vol. 91(C), pages 289-317.
    See citations under working paper version above.
  12. Salle, Isabelle & Yildizoglu, Murat & Zumpe, Martin & Sénégas, Marc-Alexandre, 2017. "Coordination through social learning in a general equilibrium model," Journal of Economic Behavior & Organization, Elsevier, vol. 141(C), pages 64-82.
    See citations under working paper version above.
  13. Salle, Isabelle & Seppecher, Pascal, 2016. "Social Learning About Consumption," Macroeconomic Dynamics, Cambridge University Press, vol. 20(7), pages 1795-1825, October.
    See citations under working paper version above.
  14. Salle, Isabelle L., 2015. "Modeling expectations in agent-based models — An application to central bank's communication and monetary policy," Economic Modelling, Elsevier, vol. 46(C), pages 130-141.

    Cited by:

    1. 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.
    2. Giovanni Dosi & Mauro Napoletano & Andrea Roventini & Joseph Stiglitz & Tania Treibich, 2020. "Rational heuristics? Expectations and behaviors in evolving economies with heterogeneous interacting agents," Post-Print halshs-03046977, HAL.
    3. Jean-Luc Gaffard & Mauro Napoletano, 2018. "Hétérogénéité des agents, interconnexions financières et politique monétaire : une approche non conventionnelle," SciencePo Working papers Main hal-03458429, HAL.
    4. Bence Mérõ, 2019. "Novel Modelling of the Operation of the Financial Intermediary System – Agent-based Macro Models," Financial and Economic Review, Magyar Nemzeti Bank (Central Bank of Hungary), vol. 18(3), pages 83-113.
    5. 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.
    6. Giorgio Fagiolo & Andrea Roventini, 2016. "Macroeconomic Policy in DSGE and Agent-Based Models Redux: New Developments and Challenges Ahead," LEM Papers Series 2016/17, Laboratory of Economics and Management (LEM), Sant'Anna School of Advanced Studies, Pisa, Italy.
    7. Jean-Luc Gaffard & Mauro Napoletano, 2018. "Market disequilibrium, monetary policy, and financial markets : insights from new tools," Documents de Travail de l'OFCE 2018-21, Observatoire Francais des Conjonctures Economiques (OFCE).
    8. Douglas Silveira & Ricardo B. L. M. Oscar, 2024. "Inflation Targeting Regimes in Emerging Market Economies: To Invest or Not to Invest?," Computational Economics, Springer;Society for Computational Economics, vol. 64(4), pages 2097-2129, October.
    9. 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.
    10. Cars Hommes & Mario He & Sebastian Poledna & Melissa Siqueira & Yang Zhang, 2022. "CANVAS: A Canadian Behavioral Agent-Based Model," Staff Working Papers 22-51, Bank of Canada.
    11. Gobbi, Alessandro & Grazzini, Jakob, 2019. "A basic New Keynesian DSGE model with dispersed information: An agent-based approach," Journal of Economic Behavior & Organization, Elsevier, vol. 157(C), pages 101-116.
    12. Ermanno Catullo & Mauro Gallegati & Alberto Russo, 2020. "Forecasting in a complex environment: Machine learning sales expectations in a Stock Flow Consistent Agent-Based simulation model," Working Papers 2020/17, Economics Department, Universitat Jaume I, Castellón (Spain).
    13. Giorgio Fagiolo & Andrea Roventini, 2016. "Macroeconomic Policy in DGSE and Agent-Based Models Redux," Working Papers hal-03459348, HAL.
    14. Federico Bassi & Dany Lang, 2016. "Investment hysteresis and potential output: a post-Keynesian-Kaleckian agent-based approach," Post-Print hal-01406441, HAL.
    15. Baranowski, Paweł & Doryń, Wirginia & Łyziak, Tomasz & Stanisławska, Ewa, 2021. "Words and deeds in managing expectations: Empirical evidence from an inflation targeting economy," Economic Modelling, Elsevier, vol. 95(C), pages 49-67.
    16. Severin Reissl, 2022. "Fiscal multipliers, expectations and learning in a macroeconomic agent‐based model," Economic Inquiry, Western Economic Association International, vol. 60(4), pages 1704-1729, October.
    17. Emanuele Russo, 2021. "Harrodian instability in decentralized economies: an agent-based approach," Economia Politica: Journal of Analytical and Institutional Economics, Springer;Fondazione Edison, vol. 38(2), pages 539-567, July.
    18. 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).

  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.
    See citations under working paper version above.
  16. Yıldızoğlu, Murat & Sénégas, Marc-Alexandre & Salle, Isabelle & Zumpe, Martin, 2014. "Learning The Optimal Buffer-Stock Consumption Rule Of Carroll," Macroeconomic Dynamics, Cambridge University Press, vol. 18(4), pages 727-752, June.
    See citations under working paper version above.
  17. Isabelle Salle & Murat Yıldızoğlu, 2014. "Efficient Sampling and Meta-Modeling for Computational Economic Models," Computational Economics, Springer;Society for Computational Economics, vol. 44(4), pages 507-536, December.
    See citations under working paper version above.
  18. Salle, Isabelle & Yıldızoğlu, Murat & Sénégas, Marc-Alexandre, 2013. "Inflation targeting in a learning economy: An ABM perspective," Economic Modelling, Elsevier, vol. 34(C), pages 114-128.
    See citations under working paper version above.
  19. Isabelle Salle, 2013. "Ciblage de l'inflation, transparence et anticipations – une revue de la littérature récente," Revue d'économie politique, Dalloz, vol. 123(5), pages 697-736.
    See citations under working paper version above.
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