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Matteo G. Richiardi

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. Richiardi, Matteo & Kopasker, Daniel & McCartney, Gerry & Vittal Katikireddi, Srinivasa & McKee, Martin & Meier, Petra & Thomson, Rachel & Philip, Broadbent, 2023. "The public health implications of the cost-of-living crisis: outlining mechanisms and modelling consequences," Centre for Microsimulation and Policy Analysis Working Paper Series CEMPA3/23, Centre for Microsimulation and Policy Analysis at the Institute for Social and Economic Research.

    Cited by:

    1. Brook, Anna & Rendall, Georgia & Hearty, Wendy & Meier, Petra & Thomson, Hilary & Macnamara, Alexandra & Westborne, Rachel & Campbell, Mhairi & McCartney, Gerry, 2024. "What is the relationship between changes in the size of economies and mortality derived population health measures in high income countries: A causal systematic review," Social Science & Medicine, Elsevier, vol. 357(C).
    2. Rachel Granger & Ned Hartfiel & Victory Ezeofor & Katharine Abba & Rhiannon Corcoran & Rachel Anderson de Cuevas & Benjamin Barr & Aregawi Gebremedhin Gebremariam & Roberta Piroddi & Clare Mahoney & M, 2025. "Social Return on Investment (SROI) Evaluation of Citizens Advice on Prescription: A Whole-Systems Approach to Mitigating Poverty and Improving Wellbeing," IJERPH, MDPI, vol. 22(2), pages 1-14, February.

  2. Richiardi, Matteo & Bronka, Patryk & van de Ven, Justin & Kopasker, Daniel & Vittal Katikireddi, Srinivasa, 2023. "SimPaths: an open-source microsimulation model for life course analysis," Centre for Microsimulation and Policy Analysis Working Paper Series CEMPA6/23, Centre for Microsimulation and Policy Analysis at the Institute for Social and Economic Research.

    Cited by:

    1. Kopasker, Daniel & Bronka, Patryk & Thomson, Rachel M. & Khodygo, Vladimir & Kromydas, Theocharis & Meier, Petra & Heppenstall, Alison & Bambra, Clare & Lomax, Nik & Craig, Peter & Richiardi, Matteo &, 2024. "Evaluating the influence of taxation and social security policies on psychological distress: A microsimulation study of the UK during the COVID-19 economic crisis," Social Science & Medicine, Elsevier, vol. 351(C).

  3. J. Doyne Farmer & John Geanakoplos & Matteo G. Richiardi & Miquel Montero & Josep Perell'o & Jaume Masoliver, 2023. "Discounting the distant future: What do historical bond prices imply about the long term discount rate?," Papers 2312.17157, arXiv.org.

    Cited by:

    1. Thomas J. Sargent & John Stachurski, 2024. "Dynamic Programming: Finite States," Papers 2401.10473, arXiv.org.
    2. Jaume Masoliver & Miquel Montero & Josep Perelló, 2021. "Jump-Diffusion Models for Valuing the Future: Discounting under Extreme Situations," Mathematics, MDPI, vol. 9(14), pages 1-26, July.

  4. Richiardi, Matteo & Bronka, Patryk, 2022. "LABSim: a dynamic life course model of individual life course trajectories for Italy," Centre for Microsimulation and Policy Analysis Working Paper Series CEMPA5/22, Centre for Microsimulation and Policy Analysis at the Institute for Social and Economic Research.

    Cited by:

    1. Bavaro, Michele & Boscolo, Stefano & Tedeschi, Simone, 2024. "Simulating Long-Run Wealth Distribution and Transmission: The Role of Intergenerational Transfers," INET Oxford Working Papers 2024-01, Institute for New Economic Thinking at the Oxford Martin School, University of Oxford.

  5. Richiardi, Matteo & Kopasker, Daniel & H. Leyland, Alastair & Vittal Katikireddi, Srinivasa & Pearce, Anna & Rostila, Mikael, 2022. "Health Equity and Its Economic Determinants (HEED): protocol for a pan-European microsimulation model for health impacts of income and social security policies," Centre for Microsimulation and Policy Analysis Working Paper Series CEMPA10/22, Centre for Microsimulation and Policy Analysis at the Institute for Social and Economic Research.

    Cited by:

    1. Kopasker, Daniel & Bronka, Patryk & Thomson, Rachel M. & Khodygo, Vladimir & Kromydas, Theocharis & Meier, Petra & Heppenstall, Alison & Bambra, Clare & Lomax, Nik & Craig, Peter & Richiardi, Matteo &, 2024. "Evaluating the influence of taxation and social security policies on psychological distress: A microsimulation study of the UK during the COVID-19 economic crisis," Social Science & Medicine, Elsevier, vol. 351(C).

  6. Richiardi, Matteo & Bronka, Patryk & van de Ven, Justin, 2022. "Dynamic simulation of taxes and welfare benefits by database imputation," Centre for Microsimulation and Policy Analysis Working Paper Series CEMPA3/22, Centre for Microsimulation and Policy Analysis at the Institute for Social and Economic Research.

    Cited by:

    1. Richiardi, Matteo & Bronka, Patryk & van de Ven, Justin, 2024. "Attenuation and reinforcement mechanisms over the life course," Centre for Microsimulation and Policy Analysis Working Paper Series CEMPA2/24, Centre for Microsimulation and Policy Analysis at the Institute for Social and Economic Research.
    2. Richiardi, Matteo & Bronka, Patryk & van de Ven, Justin & Kopasker, Daniel & Vittal Katikireddi, Srinivasa, 2023. "SimPaths: an open-source microsimulation model for life course analysis," Centre for Microsimulation and Policy Analysis Working Paper Series CEMPA6/23, Centre for Microsimulation and Policy Analysis at the Institute for Social and Economic Research.

  7. Richiardi, Matteo & Collado, Diego & Popova, Daria, 2021. "UKMOD – a new tax-benefit model for the four nations of the UK," Centre for Microsimulation and Policy Analysis Working Paper Series CEMPA7/21, Centre for Microsimulation and Policy Analysis at the Institute for Social and Economic Research.

    Cited by:

    1. Richiardi, Matteo & Bronka, Patryk & van de Ven, Justin, 2024. "Attenuation and reinforcement mechanisms over the life course," Centre for Microsimulation and Policy Analysis Working Paper Series CEMPA2/24, Centre for Microsimulation and Policy Analysis at the Institute for Social and Economic Research.

  8. Jesse Lastunen & Pia Rattenhuber & Kwabena Adu-Ababio & Katrin Gasior & Xavier Jara & Maria Jouste & David McLennan & Enrico Nichelatti & Rodrigo Oliveira & Jukka Pirttilä & Matteo Richiardi & Gemma W, 2021. "The mitigating role of tax and benefit rescue packages for poverty and inequality in Africa amid the COVID-19 pandemic," WIDER Working Paper Series wp-2021-148, World Institute for Development Economic Research (UNU-WIDER).

    Cited by:

    1. Mahler,Daniel Gerszon & Yonzan,Nishant & Lakner,Christoph, 2022. "The Impact of COVID-19 on Global Inequality and Poverty," Policy Research Working Paper Series 10198, The World Bank.
    2. Adermon, Adrian & Laun, Lisa & Lind, Patrik & Olsson, Martin & Sauermann, Jan & Sjögren, Anna, 2022. "Earnings Losses and the Role of the Welfare State during the COVID-19 Pandemic: Evidence from Sweden," IZA Discussion Papers 15662, Institute of Labor Economics (IZA).
    3. Glenn Abela, 2022. "Assessing the impacts of the COVID-19 wage supplement scheme: A microsimulation study," CBM Working Papers WP/06/2022, Central Bank of Malta.
    4. Gasior, Katrin & Jara, H. Xavier & Makovec, Mattia, 2024. "Assessing the effectiveness of social protection measures in mitigating COVID-19-related income shocks in the European union," Economic Analysis and Policy, Elsevier, vol. 83(C), pages 583-605.
    5. Ronald Waiswa & Jesse Lastunen & Gemma Wright & Michael Noble & Joseph Okello Ayo & Milly Isingoma Nalukwago & Tina Kaidu Barugahara & Susan Kavuma & Isaac Arinaitwe & Martin Mwesigye & Wilson Asiimwe, 2021. "An assessment of presumptive tax in Uganda: Evaluating the 2020 reform and four alternative reform scenarios using UGAMOD, a tax-benefit microsimulation model for Uganda," WIDER Working Paper Series wp-2021-163, World Institute for Development Economic Research (UNU-WIDER).
    6. Lanau, Alba & Grieve, Tigist & Tengbeh, Angus Fayia & Enria, Luisa & Wayack-Pambé, Madeleine, 2023. "“Since the market is closed, there is no more money, there is nothing we can do”: Voices of adolescent girls in Burkina Faso and Sierra Leone on poverty and COVID-19," Children and Youth Services Review, Elsevier, vol. 155(C).
    7. Vincenzo Salvucci & Finn Tarp, 2024. "Assessing the Impact of Covid-19 in Mozambique in 2020," The European Journal of Development Research, Palgrave Macmillan;European Association of Development Research and Training Institutes (EADI), vol. 36(4), pages 803-840, August.

  9. Bronka, Patryk & Collado, Diego & Richiardi, Matteo, 2020. "The Covid-19 Crisis Response Helps the Poor: The Distributional and Budgetary Consequences of the UK lock-down," INET Oxford Working Papers 2020-17, Institute for New Economic Thinking at the Oxford Martin School, University of Oxford.

    Cited by:

    1. Glenn Abela, 2022. "Assessing the impacts of the COVID-19 wage supplement scheme: A microsimulation study," CBM Working Papers WP/06/2022, Central Bank of Malta.
    2. Denisa Sologon & Cathal O’Donoghue & Iryna Kyzyma & Jinjing Li & Jules Linden & Raymond Wagener, 2020. "The COVID-19 Resilience of a Continental Welfare Regime - Nowcasting the Distributional Impact of the Crisis," LISER Working Paper Series 2020-14, Luxembourg Institute of Socio-Economic Research (LISER).
    3. Valentinova Tasseva, Iva & Brewer, Mike, 2020. "Did the UK policy response to Covid-19 protect household incomes?," Centre for Microsimulation and Policy Analysis Working Paper Series CEMPA6/20, Centre for Microsimulation and Policy Analysis at the Institute for Social and Economic Research.
    4. Wright, Gemma & Noble, Michael & Barnes, Helen & Moechtar, Ali & McLennan, David & Anshory Yusuf, Arief & Gasior, Katrin & Muyanto, Ratnawati, 2021. "Estimating the distributional impacts of the COVID-19 pandemic and the remedial tax and benefit policies on poverty in Indonesia," Centre for Microsimulation and Policy Analysis Working Paper Series CEMPA2/21, Centre for Microsimulation and Policy Analysis at the Institute for Social and Economic Research.
    5. Kopasker, Daniel & Bronka, Patryk & Thomson, Rachel M. & Khodygo, Vladimir & Kromydas, Theocharis & Meier, Petra & Heppenstall, Alison & Bambra, Clare & Lomax, Nik & Craig, Peter & Richiardi, Matteo &, 2024. "Evaluating the influence of taxation and social security policies on psychological distress: A microsimulation study of the UK during the COVID-19 economic crisis," Social Science & Medicine, Elsevier, vol. 351(C).
    6. Richiardi, Matteo & Collado, Diego & Popova, Daria, 2021. "UKMOD – a new tax-benefit model for the four nations of the UK," Centre for Microsimulation and Policy Analysis Working Paper Series CEMPA7/21, Centre for Microsimulation and Policy Analysis at the Institute for Social and Economic Research.
    7. Richiardi, Matteo & Collado, Diego & Popova, Daria, 2021. "Covid-19 and financial hardship in London," Centre for Microsimulation and Policy Analysis Working Paper Series CEMPA9/21, Centre for Microsimulation and Policy Analysis at the Institute for Social and Economic Research.

  10. Richiardi, Matteo & He, Zhechun, 2020. "Measuring economic insecurity: a review of the literature," Centre for Microsimulation and Policy Analysis Working Paper Series CEMPA1/20, Centre for Microsimulation and Policy Analysis at the Institute for Social and Economic Research.

    Cited by:

    1. Mohammed, Ahmed & Yazdani, Morteza & Govindan, Kannan & Chatterjee, Prasenjit & Hubbard, Nicolas, 2023. "Would your company’s resilience be internally viable after COVID-19 pandemic disruption?: A new PADRIC-based diagnostic methodology," Transportation Research Part E: Logistics and Transportation Review, Elsevier, vol. 180(C).
    2. Alessandro Belmonte & Harry Pickard, 2024. "Safe at Last? Late Effects of a Mass Immunization Campaign on Households' Economic Insecurity," Review of Income and Wealth, International Association for Research in Income and Wealth, vol. 70(2), pages 466-497, June.

  11. Richiardi, Matteo & He, Zhechun, 2020. "Measuring economic insecurity: a simulation approach," Centre for Microsimulation and Policy Analysis Working Paper Series CEMPA2/20, Centre for Microsimulation and Policy Analysis at the Institute for Social and Economic Research.

    Cited by:

    1. Mohammed, Ahmed & Yazdani, Morteza & Govindan, Kannan & Chatterjee, Prasenjit & Hubbard, Nicolas, 2023. "Would your company’s resilience be internally viable after COVID-19 pandemic disruption?: A new PADRIC-based diagnostic methodology," Transportation Research Part E: Logistics and Transportation Review, Elsevier, vol. 180(C).

  12. Richiardi, Matteo & Valenzuela, Luis, 2019. "Firm Heterogeneity and the Aggregate Labour Share," INET Oxford Working Papers 2019-08, Institute for New Economic Thinking at the Oxford Martin School, University of Oxford.

    Cited by:

    1. Anatolijs Prohorovs & Julija Bistrova, 2022. "Labour Share Convergence in the European Union," Economies, MDPI, vol. 10(9), pages 1-21, August.

  13. Brian Nolan & Matteo Richiardi & Luis Valenzuela, 2019. "The drivers of income inequality in rich countries," LABORatorio R. Revelli Working Papers Series 165, LABORatorio R. Revelli, Centre for Employment Studies.

    Cited by:

    1. Jasmine Mondolo, 2021. "Macroeconomic dynamics and the role of market power. The case of Italy," DEM Working Papers 2021/17, Department of Economics and Management.
    2. Manwar Hossein Malla & Pairote Pathranarakul, 2022. "Fiscal Policy and Income Inequality: The Critical Role of Institutional Capacity," Economies, MDPI, vol. 10(5), pages 1-16, May.
    3. Muhammed Ashiq Villanthenkodath & Shreya Pal & Mantu Kumar Mahalik, 2024. "Income Inequality in Globalization Context: Evidence from Global Data," Journal of the Knowledge Economy, Springer;Portland International Center for Management of Engineering and Technology (PICMET), vol. 15(1), pages 3872-3902, March.
    4. Lucia Errico & Andrea Mosca & Sandro Rondinella & Carmela Ciccarelli, 2024. "The Role Of Natural Hazard On Income Inequality," Working Papers 202402, Università della Calabria, Dipartimento di Economia, Statistica e Finanza "Giovanni Anania" - DESF.
    5. Gravina, Antonio Francesco & Foster-McGregor, Neil, 2020. "Automation, globalisation and relative wages: An empirical analysis of winners and losers," MERIT Working Papers 2020-040, United Nations University - Maastricht Economic and Social Research Institute on Innovation and Technology (MERIT).
    6. Mehdi El Herradi & Aurélien Leroy, 2022. "The rich, poor, and middle class: Banking crises and income distribution," Post-Print hal-03770620, HAL.
    7. Tim Goedemé & Brian Nolan & Marii Paskov & David Weisstanner, 2022. "Occupational Social Class and Earnings Inequality in Europe: A Comparative Assessment," Social Indicators Research: An International and Interdisciplinary Journal for Quality-of-Life Measurement, Springer, vol. 159(1), pages 215-233, January.
    8. De Pascale, Gianluigi & Romagno, Anna, 2024. "Globalization and ICT capital endowment: How do they impact on an inclusive Green Growth Index?," Structural Change and Economic Dynamics, Elsevier, vol. 69(C), pages 463-474.
    9. Hermann Ndoya & Simplice A. Asongu, 2022. "Digital Divide, Globalization and Income Inequality in sub-Saharan African countries: Analysing cross-country heterogeneity," Working Papers of the African Governance and Development Institute. 22/064, African Governance and Development Institute..
    10. Jasmine Mondolo, 2022. "The composite link between technological change and employment: A survey of the literature," Journal of Economic Surveys, Wiley Blackwell, vol. 36(4), pages 1027-1068, September.
    11. Fulvio Castellacci, 2021. "Innovation and social welfare: A new research agenda," Working Papers on Innovation Studies 20210705, Centre for Technology, Innovation and Culture, University of Oslo.
    12. Li, Wei & He, Weiwei, 2024. "Revenue-increasing effect of rural e-commerce: A perspective of farmers' market integration and employment growth," Economic Analysis and Policy, Elsevier, vol. 81(C), pages 482-493.
    13. Gravina, Antonio Francesco & Lanzafame, Matteo, 2021. "Finance, globalisation, technology and inequality: Do nonlinearities matter?," Economic Modelling, Elsevier, vol. 96(C), pages 96-110.
    14. Laura A. Harvey & Jochen O. Mierau & James Rockey, 2024. "Inequality in an Equal Society," Oxford Bulletin of Economics and Statistics, Department of Economics, University of Oxford, vol. 86(4), pages 871-904, August.
    15. Adugna, Hailu, 2024. "Fintech dividend: How would digital financial services impact income inequality across countries?," Technology in Society, Elsevier, vol. 77(C).
    16. Paul Koster, 2023. "Urban income inequality and social welfare," Tinbergen Institute Discussion Papers 23-009/VIII, Tinbergen Institute.
    17. Bação, Pedro & Duarte, Joshua & Simões, Marta, 2024. "Social expenditure composition, inequality and growth in the OECD: Labour market policies are most effective," Journal of Policy Modeling, Elsevier, vol. 46(1), pages 75-89.
    18. Rajaguru, Gulasekaran & Srivastava, Sadhana & Sen, Rahul & Mukhopadhaya, Pundarik, 2023. "Does globalization drive long-run inequality within OECD countries? A guide to policy making," Journal of Policy Modeling, Elsevier, vol. 45(3), pages 469-493.
    19. Bernhard Ganglmair & Alexander Kann & Ilona Tsanko, 2021. "Markups for Consumers," CRC TR 224 Discussion Paper Series crctr224_2021_282, University of Bonn and University of Mannheim, Germany.
    20. Pedro Cavalcanti Gonçalves Ferreira, 2021. "Market Power and Inequality: a model of the Brazilian economy," Working Papers REM 2021/0201, ISEG - Lisbon School of Economics and Management, REM, Universidade de Lisboa.
    21. Stefano Di Bucchianico, 2020. "A note on financialization from a Classical-Keynesian standpoint," Department of Economics University of Siena 824, Department of Economics, University of Siena.
    22. Rafael Granell & Amadeo Fuenmayor & Teresa Savall, 2024. "Redistributive effects of tax-benefit policies in the EU. Simulation of reform proposals," International Review of Economics, Springer;Happiness Economics and Interpersonal Relations (HEIRS), vol. 71(4), pages 933-957, December.
    23. Kirill Borissov & Aleksey Minabutdinov & Roman Popov, 2024. "Ability Distribution and Dynamics of Wage Inequality: Unintended Consequences of Human Capital Accumulation," CER-ETH Economics working paper series 24/393, CER-ETH - Center of Economic Research (CER-ETH) at ETH Zurich.
    24. Dreger, Christian & Fourné, Marius & Holtemöller, Oliver, 2023. "Globalization, Productivity Growth, and Labor Compensation," IZA Discussion Papers 16010, Institute of Labor Economics (IZA).
    25. Huang, Kaixing & Yan, Wenshou & Sim, Nicholas & Guo, Yuqing & Xie, Fang, 2022. "Can trade explain the rising trends in income inequality? Insights from 40 years of empirical studies," Economic Modelling, Elsevier, vol. 107(C).
    26. Mondolo, Jasmine, 2021. "Macroeconomic dynamics and the role of market power. The case of Italy," MPRA Paper 110172, University Library of Munich, Germany, revised 05 Oct 2021.
    27. Graziella Bonanno & Filippo Domma & Lucia Errico, 2022. "Income Inequality And Inner Areas. A Study On The Italian Case," Working Papers 202203, Università della Calabria, Dipartimento di Economia, Statistica e Finanza "Giovanni Anania" - DESF.
    28. Omoniyi B. Alimi & David C. Mare & Jacques Poot, 2022. "Immigration, skills and changing urban income inequality in New Zealand," Australian Journal of Labour Economics (AJLE), Bankwest Curtin Economics Centre (BCEC), Curtin Business School, vol. 25(1), pages 81-109.
    29. Omoniyi B. Alimi & David C. Maré & Jacques Poot, 2022. "Who partners up? Homogamy and income inequality in New Zealand cities," Journal of Regional Science, Wiley Blackwell, vol. 62(1), pages 171-193, January.
    30. George Petrakos & Konstantinos Rontos & Chara Vavoura & Ioannis Vavouras, 2023. "The Impact of Recent Economic Crises on Income Inequality and the Risk of Poverty in Greece," Economies, MDPI, vol. 11(6), pages 1-23, June.
    31. Azio Barani, 2021. "Innovazione tecnologica e lavoro: automazione, occupazione e impatti socio-economici," QUADERNI DI ECONOMIA DEL LAVORO, FrancoAngeli Editore, vol. 0(114), pages 51-79.
    32. Mondolo, Jasmine, 2020. "Macro and microeconomic evidence on investment, factor shares, firm and labor dynamics in Italy and in Trentino," MPRA Paper 99138, University Library of Munich, Germany.
    33. Sintos, Andreas, 2023. "Does inflation worsen income inequality? A meta-analysis," Economic Systems, Elsevier, vol. 47(4).
    34. Trung V Vu, 2023. "Long-term relatedness and income distribution: understanding the deep roots of inequality," Oxford Economic Papers, Oxford University Press, vol. 75(3), pages 704-728.
    35. Antonio Francesco Gravina & Neil Foster-McGregor, 2024. "Unraveling wage inequality: tangible and intangible assets, globalization and labor market regulations," Empirical Economics, Springer, vol. 67(4), pages 1375-1420, October.

  14. Nolan, Brian & Richiardi, Matteo & Valenzuela, Luis, 2018. "The Drivers of Inequality in Rich Countries," INET Oxford Working Papers 2018-15, Institute for New Economic Thinking at the Oxford Martin School, University of Oxford.

    Cited by:

    1. Brzeziński, Michał & Myck, Michal & Najsztub, Mateusz, 2019. "Reevaluating Distributional Consequences of the Transition to Market Economy in Poland: New Results from Combined Household Survey and Tax Return Data," IZA Discussion Papers 12734, Institute of Labor Economics (IZA).
    2. Alexander Schiersch & Caroline Stiel, 2020. "Testing the Superstar Firm Hypothesis," Discussion Papers of DIW Berlin 1849, DIW Berlin, German Institute for Economic Research.
    3. Pedro Cavalcanti Gonçalves Ferreira, 2021. "Market Power and Inequality: a model of the Brazilian economy," Working Papers REM 2021/0201, ISEG - Lisbon School of Economics and Management, REM, Universidade de Lisboa.
    4. Brzezinski, Michal & Myck, Michał & Najsztub, Mateusz, 2022. "Sharing the gains of transition: Evaluating changes in income inequality and redistribution in Poland using combined survey and tax return data," European Journal of Political Economy, Elsevier, vol. 73(C).

  15. Richiardi, Matteo & Nolan, Brian & Kenworthy, Lane, 2018. "The US labour force participation debacle: learning from the contrast with Britain," ISER Working Paper Series 2018-12, Institute for Social and Economic Research.

    Cited by:

    1. Matteo Richiardi, 2018. "Editorial," International Journal of Microsimulation, International Microsimulation Association, vol. 11(2), pages 1-4.

  16. Fabio Berton & Sauro Mocetti & Andrea F. Presbitero & Matteo Richiardi, 2017. "Banks, Firms, and Jobs," Mo.Fi.R. Working Papers 136, Money and Finance Research group (Mo.Fi.R.) - Univ. Politecnica Marche - Dept. Economic and Social Sciences.

    Cited by:

    1. Cornille, David & Rycx, François & Tojerow, Ilan, 2019. "Heterogeneous effects of credit constraints on SMEs’ employment: Evidence from the European sovereign debt crisis," Journal of Financial Stability, Elsevier, vol. 41(C), pages 1-13.
    2. Laeven, Luc & McAdam, Peter & Popov, Alexander, 2018. "Credit shocks, employment protection, and growth: firm-level evidence from Spain," Working Paper Series 2166, European Central Bank.
    3. Doerr, Sebastian & Raissi, Mehdi & Weber, Anke, 2018. "Credit-supply shocks and firm productivity in Italy," Journal of International Money and Finance, Elsevier, vol. 87(C), pages 155-171.
    4. Balduzzi, Pierluigi & Brancati, Emanuele & Schiantarelli, Fabio, 2013. "Financial Markets, Banks' Cost of Funding, and Firms' Decisions: Lessons from Two Crises," IZA Discussion Papers 7872, Institute of Labor Economics (IZA).
    5. Bodnár, Katalin & Fadejeva, Ludmila & Hoeberichts, Marco & Peinado, Mario Izquierdo & Jadeau, Christophe & Viviano, Eliana, 2018. "Credit shocks and the European labour market," Working Paper Series 2124, European Central Bank.
    6. Sasan Bakhtiari & Robert Breunig & Lisa Magnani & Jacquelyn Zhang, 2020. "Financial Constraints and Small and Medium Enterprises: A Review," The Economic Record, The Economic Society of Australia, vol. 96(315), pages 506-523, December.
    7. Francesco Devicienti & Bernardo Fanfani, 2021. "Firms' Margins of Adjustment to Wage Growth. The Case of Italian Collective Bargaining," DISCE - Working Papers del Dipartimento di Economia e Finanza def102, Università Cattolica del Sacro Cuore, Dipartimenti e Istituti di Scienze Economiche (DISCE).
    8. David Cornille & François Rycx & Ilan Tojerow, 2018. "Heterogeneous Effects of Credit Constraints on SMEs’ Employment: Evidence from the Great Recession," Working Papers CEB 18-003, ULB -- Universite Libre de Bruxelles.
    9. Concetta Rondinelli & Roberta Zizza, 2020. "Spend today or spend tomorrow? The role of inflation expectations in consumer behaviour," Temi di discussione (Economic working papers) 1276, Bank of Italy, Economic Research and International Relations Area.
    10. Nyasha, Sheilla & Odhiambo, Nicholas M & Musakwa, Mercy T, 2022. "The impact of stock market development on unemployment: Empirical evidence from South Africa," Working Papers 29229, University of South Africa, Department of Economics.
    11. Rojas Cama, Freddy A. & Emara, Noha, 2022. "Financial inclusion and gross capital formation: A sectoral analysis approach for the MENA region and EMs," International Review of Financial Analysis, Elsevier, vol. 79(C).
    12. Brausewetter, Lars & Ludolph, Melina & Tonzer, Lena, 2023. "Distributional income effects of banking regulation in Europe," IWH Discussion Papers 24/2023, Halle Institute for Economic Research (IWH).
    13. Aguilar-Gomez, Sandra & Gutierrez, Emilio & Heres, David & Jaume, David & Tobal, Martin, 2024. "Thermal stress and financial distress: Extreme temperatures and firms’ loan defaults in Mexico," Journal of Development Economics, Elsevier, vol. 168(C).
    14. Hans Degryse & Olivier De Jonghe & Sanja Jakovljevic & Klaas Mulier & Glenn Schepens, 2018. "Identifying credit supply shocks with bank-firm data: methods and applications," Working Paper Research 347, National Bank of Belgium.
    15. Ananou, Foly & Chronopoulos, Dimitris K. & Tarazi, Amine & Wilson, John O.S., 2021. "Liquidity regulation and bank lending," Journal of Corporate Finance, Elsevier, vol. 69(C).
    16. Yoontae Hwang & Yongjae Lee & Frank J. Fabozzi, 2023. "Identifying household finance heterogeneity via deep clustering," Annals of Operations Research, Springer, vol. 325(2), pages 1255-1289, June.
    17. Acosta, Román & Cortés, Josué, 2022. "Loans and employment: Evidence from bank-specific liquidity shocks," Latin American Journal of Central Banking (previously Monetaria), Elsevier, vol. 3(2).
    18. Davide Dottori & Giacinto Micucci & Laura Sigalotti, 2022. "Trade debts and bank lending in years of crisis," Questioni di Economia e Finanza (Occasional Papers) 695, Bank of Italy, Economic Research and International Relations Area.
    19. Gete, Pedro, 2018. "Lending standards and macroeconomic dynamics," Working Paper Series 2207, European Central Bank.
    20. Qi, Wenhao & Li, Biao & Liu, Qiqi & Lv, Jiaqi, 2023. "Low-skill lock-in? Financial resource mismatch and low-skilled labor demand," Finance Research Letters, Elsevier, vol. 55(PB).
    21. Adamopoulou, Effrosyni & De Philippis, Marta & Sette, Enrico & Viviano, Eliana, 2020. "The Long Run Earnings Effects of a Credit Market Disruption," IZA Discussion Papers 13185, Institute of Labor Economics (IZA).
    22. S. Nyasha & N.M. Odhiambo & M.T. Musakwa, 2021. "The Impact of Stock Market Development on Unemployment: Empirical Evidence from South Africa," Working Papers AESRI-2021-17, African Economic and Social Research Institute (AESRI), revised Jul 2021.
    23. Elena Mattana & Ettore Panetti, 2021. "The Welfare Costs of Self‐Fulfilling Bank Runs," Journal of Money, Credit and Banking, Blackwell Publishing, vol. 53(2-3), pages 401-440, March.
    24. Berger, Allen N. & Molyneux, Phil & Wilson, John O.S., 2020. "Banks and the real economy: An assessment of the research," Journal of Corporate Finance, Elsevier, vol. 62(C).
    25. Emilio Gutierrez & David Jaume & Martín Tobal, 2021. "Do Credit Supply Shocks Affect Employment in Middle-Income Countries?," CEDLAS, Working Papers 0277, CEDLAS, Universidad Nacional de La Plata.
    26. Vacca, Valerio Paolo & Bichlmeier, Fabian & Biraschi, Paolo & Boschi, Natalie & Álvarez, Antonio J. Bravo & Di Primio, Luciano & Ebner, André & Hoeretzeder, Silvia & Ballesteros, Elisa Llorente & Mian, 2021. "Measuring the impact of a bank failure on the real economy: an EU-wide analytical framework," ESRB Working Paper Series 122, European Systemic Risk Board.
    27. Matteo Bugamelli & Francesca Lotti & Monica Amici & Emanuela Ciapanna & Fabrizio Colonna & Francesco D�Amuri & Silvia Giacomelli & Andrea Linarello & Francesco Manaresi & Giuliana Palumbo & Filippo , 2018. "Productivity growth in Italy: a tale of a slow-motion change," Questioni di Economia e Finanza (Occasional Papers) 422, Bank of Italy, Economic Research and International Relations Area.
    28. Alessandro Sforza, 2020. "Shocks and the Organization of the Firm: Who Pays the Bill?," CESifo Working Paper Series 8084, CESifo.
    29. Philipp Meinen & Ana Cristina Soares, 2022. "Markups and Financial Shocks," The Economic Journal, Royal Economic Society, vol. 132(647), pages 2471-2499.
    30. Spokeviciute, Laima & Keasey, Kevin & Vallascas, Francesco, 2019. "Do financial crises cleanse the banking industry? Evidence from US commercial bank exits," Journal of Banking & Finance, Elsevier, vol. 99(C), pages 222-236.
    31. Vincent FROMENTIN & Joris MICHEL & Sylvain WEBER, 2021. "L’effet des fluctuations financières sur le nombre de travailleurs frontaliers : une analyse comparative du Luxembourg et de la Suisse," Region et Developpement, Region et Developpement, LEAD, Universite du Sud - Toulon Var, vol. 53, pages 51-68.
    32. Mbanyele, William & Huang, Hongyun & Muchenje, Linda T. & Zhao, Jun, 2024. "How does climate regulatory risk influence labor employment decisions? Evidence from a quasi-natural experiment," China Economic Review, Elsevier, vol. 87(C).
    33. Fonseca, Julia & Matray, Adrien, 2024. "Financial inclusion, economic development, and inequality: Evidence from Brazil," Journal of Financial Economics, Elsevier, vol. 156(C).
    34. Sobiech, Anna L. & Chronopoulos, Dimitris K. & Wilson, John O.S., 2021. "The real effects of bank taxation: Evidence for corporate financing and investment," Journal of Corporate Finance, Elsevier, vol. 69(C).
    35. Thorsten Beck & Samuel Da-Rocha-Lopes & André F Silva & Francesca Cornelli, 2021. "Sharing the Pain? Credit Supply and Real Effects of Bank Bail-ins [High wage workers and high wage firms]," The Review of Financial Studies, Society for Financial Studies, vol. 34(4), pages 1747-1788.
    36. Brockman, Paul & Luo, Juan & Xu, Limin, 2020. "The impact of short-selling pressure on corporate employee relations," Journal of Corporate Finance, Elsevier, vol. 64(C).
    37. Accetturo, Antonio & Barboni, Giorgia & Cascarano, Michele & Garcia-Appendini, Emilia & Tomasi, Marco, 2022. "Credit supply and green Investments," CAGE Online Working Paper Series 615, Competitive Advantage in the Global Economy (CAGE).
    38. Christian Abele & Agnès Bénassy-Quéré & Lionel Fontagné, 2020. "One Size Does Not Fit All: TFP in the Aftermath of Financial Crises in Three European Countries," Working Papers halshs-02883685, HAL.
    39. Guler, Ozan & Mariathasan, Mike & Mulier, Klaas & Okatan, Nejat G., 2019. "The Real Effects of Credit Supply: Review, Synthesis, and Future Directions," MPRA Paper 96542, University Library of Munich, Germany.
    40. Ring, Marius, 2019. "Entrepreneurial Wealth and Employment: Tracing Out the Effects of a Stock Market Crash," MPRA Paper 107020, University Library of Munich, Germany, revised 06 Apr 2021.
    41. Keil, Jan, 2023. "Lending relationships when creditors are in control," Journal of Corporate Finance, Elsevier, vol. 79(C).
    42. Acharya, Viral V. & Pedersen, Lasse Heje, 2019. "Economics with Market Liquidity Risk," Critical Finance Review, now publishers, vol. 8(1-2), pages 111-125, December.
    43. Antonio Accetturo & Giulia Canzian & Michele Cascarano & Maria Lucia Stefani, 2019. "Debt maturity and firm performance: evidence from a quasi-natural experiment," Temi di discussione (Economic working papers) 1250, Bank of Italy, Economic Research and International Relations Area.
    44. Michal Brzozowski, 2019. "Access to Credit and Growth of Firms," Czech Journal of Economics and Finance (Finance a uver), Charles University Prague, Faculty of Social Sciences, vol. 69(3), pages 253-274, June.
    45. Thang Bach & Charles Harvie & Thanh Le, 2021. "How credit constraints affect small and medium enterprises' strategic employment decisions and employees' labour outcomes: Evidence from Vietnam1," Economics of Transition and Institutional Change, John Wiley & Sons, vol. 29(2), pages 319-341, April.
    46. Ekkehard Ernst, 2019. "Finance and Jobs: How Financial Markets and Prudential Regulation Shape Unemployment Dynamics," JRFM, MDPI, vol. 12(1), pages 1-30, January.
    47. Fonseca, Julia & Van Doornik, Bernardus, 2022. "Financial development and labor market outcomes: Evidence from Brazil," Journal of Financial Economics, Elsevier, vol. 143(1), pages 550-568.
    48. Pavel Chakraborty, 2024. "Bank ownership and firm performance," Economica, London School of Economics and Political Science, vol. 91(361), pages 238-267, January.
    49. Radeef Chundakkadan & Rajesh Raj Natarajan & Subash Sasidharan, 2022. "Small firms amidst COVID‐19: Financial constraints and role of government support," Economic Notes, Banca Monte dei Paschi di Siena SpA, vol. 51(3), November.
    50. Povilas Lastauskas, 2022. "Lockdown, employment adjustment, and financial frictions," Small Business Economics, Springer, vol. 58(2), pages 919-942, February.
    51. Ozan Güler & Mike Mariathasan & Klaas Mulier & Nejat G. Okatan, 2021. "The real effects of banks' corporate credit supply: A literature review," Economic Inquiry, Western Economic Association International, vol. 59(3), pages 1252-1285, July.
    52. Andrea Fabiani & Martha López & José-Luis Peydró & Paul E. Soto, 2023. "Capital Controls, Corporate Debt and Real Effects: Evidence from Boom and Crisis Times," Borradores de Economia 1244, Banco de la Republica de Colombia.

  17. Ross Richardson & Matteo G. Richiardi, 2016. "JAS-mine: A new platform for microsimulation and agent-based modelling," LABORatorio R. Revelli Working Papers Series 147, LABORatorio R. Revelli, Centre for Employment Studies.

    Cited by:

    1. Melanie N Tomintz & Bernhard Kosar & Victor M García-Barrios, 2017. "simSALUD: Design and Implementation of an Open-source Wizard based Spatial Microsimulation Framework," International Journal of Microsimulation, International Microsimulation Association, vol. 10(2), pages 118-143.
    2. Giovanni Dosi & Andrea Roventini, 2017. "Agent-Based Macroeconomics and Classical Political Economy: Some Italian Roots," Post-Print hal-03399668, HAL.
    3. Matteo Richiardi & Ross E. Richardson, 2017. "JAS-mine: A new platform for microsimulation and agent-based modelling," International Journal of Microsimulation, International Microsimulation Association, vol. 10(1), pages 106-134.
    4. Matteo Richiardi, 2015. "The future of agent-based modelling," Economics Papers 2015-W06, Economics Group, Nuffield College, University of Oxford.
    5. van de Ven, Justin, 2017. "SIDD: An adaptable framework for analysing the distributional implications of policy alternatives where savings and employment decisions matter," Economic Modelling, Elsevier, vol. 63(C), pages 161-174.
    6. Richiardi, Matteo & Bronka, Patryk & van de Ven, Justin, 2024. "The life course effects of care," Centre for Microsimulation and Policy Analysis Working Paper Series CEMPA7/24, Centre for Microsimulation and Policy Analysis at the Institute for Social and Economic Research.
    7. 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.
    8. Cathal O'Donoghue & Gijs Dekkers, 2018. "Increasing the Impact of Dynamic Microsimulation Modelling," International Journal of Microsimulation, International Microsimulation Association, vol. 11(1), pages 61-96.
    9. Richiardi, Matteo & Bronka, Patryk & van de Ven, Justin, 2024. "Attenuation and reinforcement mechanisms over the life course," Centre for Microsimulation and Policy Analysis Working Paper Series CEMPA2/24, Centre for Microsimulation and Policy Analysis at the Institute for Social and Economic Research.
    10. Luzius Meisser, 2017. "The Code is the Model," International Journal of Microsimulation, International Microsimulation Association, vol. 10(3), pages 184-201.
    11. 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).
    12. Martin Spielauer & Thomas Horvath & Marian Fink, 2020. "microWELT: A Dynamic Microsimulation Model for the Study of Welfare Transfer Flows in Ageing Societies from a Comparative Welfare State Perspective," WIFO Working Papers 609, WIFO.
    13. Richiardi, Matteo & Bronka, Patryk, 2022. "LABSim: a dynamic life course model of individual life course trajectories for Italy," Centre for Microsimulation and Policy Analysis Working Paper Series CEMPA5/22, Centre for Microsimulation and Policy Analysis at the Institute for Social and Economic Research.
    14. Richiardi, Matteo & Bronka, Patryk & van de Ven, Justin & Kopasker, Daniel & Vittal Katikireddi, Srinivasa, 2023. "SimPaths: an open-source microsimulation model for life course analysis," Centre for Microsimulation and Policy Analysis Working Paper Series CEMPA6/23, Centre for Microsimulation and Policy Analysis at the Institute for Social and Economic Research.
    15. Matteo Coronese & Davide Luzzati, 2022. "Economic impacts of natural hazards and complexity science: a critical review," LEM Papers Series 2022/13, Laboratory of Economics and Management (LEM), Sant'Anna School of Advanced Studies, Pisa, Italy.
    16. Richiardi, Matteo & Bronka, Patryk & van de Ven, Justin, 2023. "Back to the future: Agent-based modelling and dynamic microsimulation," Centre for Microsimulation and Policy Analysis Working Paper Series CEMPA8/23, Centre for Microsimulation and Policy Analysis at the Institute for Social and Economic Research.

  18. Ross Richardson & Lia Pacelli & Ambra Poggi & Matteo G. Richiardi, 2016. "Female labour force projections using microsimulation for six EU countries," LABORatorio R. Revelli Working Papers Series 148, LABORatorio R. Revelli, Centre for Employment Studies.

    Cited by:

    1. Matteo Richiardi & Ross E. Richardson, 2017. "JAS-mine: A new platform for microsimulation and agent-based modelling," International Journal of Microsimulation, International Microsimulation Association, vol. 10(1), pages 106-134.
    2. Filandri, Marianna & Pasqua, Silvia, 2019. "Gender discrimination in academic careers in Italy," Department of Economics and Statistics Cognetti de Martiis. Working Papers 201921, University of Turin.
    3. Richiardi, Matteo & He, Zhechun, 2020. "Measuring economic insecurity: a simulation approach," Centre for Microsimulation and Policy Analysis Working Paper Series CEMPA2/20, Centre for Microsimulation and Policy Analysis at the Institute for Social and Economic Research.

  19. Ross Richardson & Lia Pacelli & Matteo G. Richiardi, 2016. "Understanding low female labour force participation: Policy evaluation using microsimulation," LABORatorio R. Revelli Working Papers Series 149, LABORatorio R. Revelli, Centre for Employment Studies.

    Cited by:

    1. Matteo Richiardi & Ross E. Richardson, 2017. "JAS-mine: A new platform for microsimulation and agent-based modelling," International Journal of Microsimulation, International Microsimulation Association, vol. 10(1), pages 106-134.
    2. Ross Richardson & Lia Pacelli & Ambra Poggi & Matteo Richiardi, 2018. "Female Labour Force Projections Using Microsimulation for Six EU Countries," International Journal of Microsimulation, International Microsimulation Association, vol. 11(2), pages 5-51.

  20. Campaniello, N & Richiardi, M, 2015. "The role of museums in bilateral tourist flows: Evidence from Italy," Economics Discussion Papers 15638, University of Essex, Department of Economics.

    Cited by:

    1. Nadia Campaniello & Ciarlantini Sara & Mollisi Vincenzo, 2024. "The impact of Twitter on consumption: Evidence from museums," Working papers 089, Department of Economics, Social Studies, Applied Mathematics and Statistics (Dipartimento di Scienze Economico-Sociali e Matematico-Statistiche), University of Torino.
    2. Martin Thomas Falk & Eva Hagsten & Xiang Lin, 2022. "Domestic tourism demand in the North and the South of Europe in the Covid-19 summer of 2020," The Annals of Regional Science, Springer;Western Regional Science Association, vol. 69(2), pages 537-553, October.

  21. Jakob Grazzini & Matteo G. Richiardi & Mike Tsionas, 2015. "Bayesian Estimation of Agent-Based Models," LABORatorio R. Revelli Working Papers Series 145, LABORatorio R. Revelli, Centre for Employment Studies.

    Cited by:

    1. Francesco Lamperti & Andrea Roventini & Amir Sani, 2017. "Agent-Based Model Calibration using Machine Learning Surrogates," Université Paris1 Panthéon-Sorbonne (Post-Print and Working Papers) hal-01499344, HAL.
    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. 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.
    4. Barde, Sylvain, 2024. "Bayesian estimation of large-scale simulation models with Gaussian process regression surrogates," Computational Statistics & Data Analysis, Elsevier, vol. 196(C).
    5. 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).
    6. Flavio Calvino & Daniele Giachini & Mattia Guerini, 2020. "The age distribution of business firms," LEM Papers Series 2020/20, Laboratory of Economics and Management (LEM), Sant'Anna School of Advanced Studies, Pisa, Italy.
    7. Platt, Donovan, 2020. "A comparison of economic agent-based model calibration methods," Journal of Economic Dynamics and Control, Elsevier, vol. 113(C).
    8. Catullo, Ermanno & Gallegati, Mauro & Russo, Alberto, 2022. "Forecasting in a complex environment: Machine learning sales expectations in a stock flow consistent agent-based simulation model," Journal of Economic Dynamics and Control, Elsevier, vol. 139(C).
    9. Giovanni Dosi & Andrea Roventini & Emmanuele Russo, 2018. "Endogenous growth and global divergence in a multi-country agent - based model," SciencePo Working papers Main hal-03471735, HAL.
    10. Sylvain Barde, 2019. "Macroeconomic simulation comparison with a multivariate extension of the Markov Information Criterion," Studies in Economics 1908, School of Economics, University of Kent.
    11. Lux, Thomas, 2020. "Bayesian estimation of agent-based models via adaptive particle Markov chain Monte Carlo," Economics Working Papers 2020-01, Christian-Albrechts-University of Kiel, Department of Economics.
    12. Joel Dyer & Patrick Cannon & J. Doyne Farmer & Sebastian Schmon, 2022. "Black-box Bayesian inference for economic agent-based models," Papers 2202.00625, arXiv.org.
    13. Elizabeth Jane Casabianca & Alessia Lo Turco & Daniela Maggioni, 2021. "Migration And The Structure Of Manufacturing Production. A View From Italian Provinces," Working Papers 448, Universita' Politecnica delle Marche (I), Dipartimento di Scienze Economiche e Sociali.
    14. 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.
    15. 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.
    16. 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.
    17. 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.
    18. Kukacka, Jiri & Sacht, Stephen, 2023. "Estimation of heuristic switching in behavioral macroeconomic models," Journal of Economic Dynamics and Control, Elsevier, vol. 146(C).
    19. 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.
    20. Lux, Thomas, 2017. "Estimation of agent-based models using sequential Monte Carlo methods," Economics Working Papers 2017-07, Christian-Albrechts-University of Kiel, Department of Economics.
    21. Valerio Scalone, 2018. "Estimating Non-Linear DSGEs with the Approximate Bayesian Computation: an application to the Zero Lower Bound," Working papers 688, Banque de France.
    22. Shiono, Takashi, 2021. "Estimation of agent-based models using Bayesian deep learning approach of BayesFlow," Journal of Economic Dynamics and Control, Elsevier, vol. 125(C).
    23. 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.
    24. Steinbacher, Mitja & Raddant, Matthias & Karimi, Fariba & Camacho-Cuena, Eva & Alfarano, Simone & Iori, Giulia & Lux, Thomas, 2021. "Advances in the Agent-Based Modeling of Economic and Social Behavior," MPRA Paper 107317, University Library of Munich, Germany.
    25. Blake LeBaron, 2021. "Microconsistency in Simple Empirical Agent-Based Financial Models," Computational Economics, Springer;Society for Computational Economics, vol. 58(1), pages 83-101, June.
    26. Tae-Seok Jang & Stephen Sacht, 2022. "Macroeconomic dynamics under bounded rationality: on the impact of consumers’ forecast heuristics," Journal of Economic Interaction and Coordination, Springer;Society for Economic Science with Heterogeneous Interacting Agents, vol. 17(3), pages 849-873, July.
    27. Lux, Thomas, 2018. "Estimation of agent-based models using sequential Monte Carlo methods," Journal of Economic Dynamics and Control, Elsevier, vol. 91(C), pages 391-408.
    28. Chenkai Wang & Junji Ren & Peng Yang, 2024. "Alleviating Non-identifiability: a High-fidelity Calibration Objective for Financial Market Simulation with Multivariate Time Series Data," Papers 2407.16566, arXiv.org, revised Oct 2024.
    29. 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.
    30. 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.
    31. 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.
    32. 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.
    33. 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.
    34. Ernesto Carrella, 2021. "No Free Lunch when Estimating Simulation Parameters," Journal of Artificial Societies and Social Simulation, Journal of Artificial Societies and Social Simulation, vol. 24(2), pages 1-7.
    35. Giovanni Dosi & Andrea Roventini, 2019. "More is different ... and complex! the case for agent-based macroeconomics," Journal of Evolutionary Economics, Springer, vol. 29(1), pages 1-37, March.
    36. 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.
    37. Dyer, Joel & Cannon, Patrick & Farmer, J. Doyne & Schmon, Sebastian M., 2024. "Black-box Bayesian inference for agent-based models," Journal of Economic Dynamics and Control, Elsevier, vol. 161(C).
    38. 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.
    39. 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.
    40. Mohammad Ghaderi, 2020. "Public Health Interventions in the Face of Pandemics: Network Structure, Social Distancing, and Heterogeneity," Working Papers 1193, Barcelona School of Economics.
    41. Tubbenhauer, Tobias & Fieberg, Christian & Poddig, Thorsten, 2021. "Multi-agent-based VaR forecasting," Journal of Economic Dynamics and Control, Elsevier, vol. 131(C).
    42. Lucas Fievet & Didier Sornette, 2018. "Calibrating emergent phenomena in stock markets with agent based models," PLOS ONE, Public Library of Science, vol. 13(3), pages 1-17, March.
    43. Kukacka, Jiri & Barunik, Jozef, 2017. "Estimation of financial agent-based models with simulated maximum likelihood," Journal of Economic Dynamics and Control, Elsevier, vol. 85(C), pages 21-45.
    44. 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.
    45. Ernesto Carrella & Richard Bailey & Jens Koed Madsen, 2020. "Calibrating Agent-Based Models with Linear Regressions," Journal of Artificial Societies and Social Simulation, Journal of Artificial Societies and Social Simulation, vol. 23(1), pages 1-7.
    46. Donovan Platt, 2019. "A Comparison of Economic Agent-Based Model Calibration Methods," Papers 1902.05938, arXiv.org.
    47. 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).
    48. 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).
    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. 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.
    51. Gene Yu & Ce Guo & Wayne Luk, 2024. "Robust Time Series Causal Discovery for Agent-Based Model Validation," Papers 2410.19412, arXiv.org.
    52. Ivonne Schwartz & Mark Kirstein, 2022. "Time is limited on the road to asymptopia," Papers 2208.08169, arXiv.org.
    53. Svitlana Vyetrenko & David Byrd & Nick Petosa & Mahmoud Mahfouz & Danial Dervovic & Manuela Veloso & Tucker Hybinette Balch, 2019. "Get Real: Realism Metrics for Robust Limit Order Book Market Simulations," Papers 1912.04941, arXiv.org.
    54. Lux, Thomas, 2024. "Lack of identification of parameters in a simple behavioral macroeconomic model," Journal of Economic Dynamics and Control, Elsevier, vol. 168(C).
    55. Yi Zhang & Zhe Li & Yongchao Zhang, 2020. "Validation and Calibration of an Agent-Based Model: A Surrogate Approach," Discrete Dynamics in Nature and Society, Hindawi, vol. 2020, pages 1-9, January.
    56. 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.
    57. Lamperti, Francesco, 2018. "An information theoretic criterion for empirical validation of simulation models," Econometrics and Statistics, Elsevier, vol. 5(C), pages 83-106.
    58. 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.
    59. Ghaderi, Mohammad, 2022. "Public health interventions in the face of pandemics: Network structure, social distancing, and heterogeneity," European Journal of Operational Research, Elsevier, vol. 298(3), pages 1016-1031.
    60. Tuong Manh Vu & Charlotte Probst & Alexandra Nielsen & Hao Bai & Petra S. Meier & Charlotte Buckley & Mark Strong & Alan Brennan & Robin Purhouse, 2020. "A Software Architecture for Mechanism-Based Social Systems Modelling in Agent-Based Simulation Models," Journal of Artificial Societies and Social Simulation, Journal of Artificial Societies and Social Simulation, vol. 23(3), pages 1-1.
    61. Troost, Christian & Huber, Robert & Bell, Andrew R. & van Delden, Hedwig & Filatova, Tatiana & Le, Quang Bao & Lippe, Melvin & Niamir, Leila & Polhill, J. Gareth & Sun, Zhanli & Berger, Thomas, 2023. "How to keep it adequate: A protocol for ensuring validity in agent-based simulation," EconStor Open Access Articles and Book Chapters, ZBW - Leibniz Information Centre for Economics, vol. 159, pages 1-21.
    62. Thomas Lux, 2022. "Bayesian Estimation of Agent-Based Models via Adaptive Particle Markov Chain Monte Carlo," Computational Economics, Springer;Society for Computational Economics, vol. 60(2), pages 451-477, August.
    63. 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.
    64. 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.
    65. Mohammad Ghaderi, 2020. "Public health interventions in the face of pandemics: network structure, social distancing, and heterogeneity," Economics Working Papers 1732, Department of Economics and Business, Universitat Pompeu Fabra.
    66. Tilfani, Oussama & Kristoufek, Ladislav & Ferreira, Paulo & El Boukfaoui, My Youssef, 2022. "Heterogeneity in economic relationships: Scale dependence through the multivariate fractal regression," Physica A: Statistical Mechanics and its Applications, Elsevier, vol. 588(C).
    67. Gao, Rui & Li, Yaqiong & Lin, Lisha, 2019. "Bayesian statistical inference for European options with stock liquidity," Physica A: Statistical Mechanics and its Applications, Elsevier, vol. 518(C), pages 312-322.
    68. Aldo Glielmo & Marco Favorito & Debmallya Chanda & Domenico Delli Gatti, 2023. "Reinforcement Learning for Combining Search Methods in the Calibration of Economic ABMs," Papers 2302.11835, arXiv.org, revised Dec 2023.
    69. Lux, Thomas, 2024. "Lack of identification of parameters in a simple behavioral macroeconomic model," Economics Working Papers 2024-02, Christian-Albrechts-University of Kiel, Department of Economics.

  22. Matteo G. Richiardi, 2015. "The future of agent-based modelling," LABORatorio R. Revelli Working Papers Series 141, LABORatorio R. Revelli, Centre for Employment Studies.

    Cited by:

    1. 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).
    2. Bauermann, Tom & Roos, Michael W. M. & Schaff, Frederik, 2020. "POSA: Policy implementation sensitivity analysis," Ruhr Economic Papers 854, RWI - Leibniz-Institut für Wirtschaftsforschung, Ruhr-University Bochum, TU Dortmund University, University of Duisburg-Essen.
    3. Bulent Ozel & Reynold Christian Nathanael & Marco Raberto & Andrea Teglio & Silvano Cincotti, 2016. "Macroeconomic implications of mortgage loans requirements: An agent based approach," Working Papers 2016/05, Economics Department, Universitat Jaume I, Castellón (Spain).
    4. Eliasson, Gunnar, 2023. "Bringing markets back into economics," Journal of Economic Behavior & Organization, Elsevier, vol. 216(C), pages 686-710.
    5. Sylvain Barde & Sander van Der Hoog, 2017. "An empirical validation protocol for large-scale agent-based models," SciencePo Working papers Main hal-03458672, HAL.
    6. Silvano Cincotti & Marco Raberto & Andrea Teglio, 2022. "Why do we need agent-based macroeconomics?," Review of Evolutionary Political Economy, Springer, vol. 3(1), pages 5-29, April.
    7. Gunnar Eliasson, 2018. "Why Complex, Data Demanding and Difficult to Estimate Agent Based Models? Lessons from a Decades Long Research Program," International Journal of Microsimulation, International Microsimulation Association, vol. 11(1), pages 4-60.
    8. Skardaa, Ieva & Asaria, Miqdad & Cookson, Richard, 2022. "Evaluating childhood policy impacts on lifetime health, wellbeing and inequality: lifecourse distributional economic evaluation," LSE Research Online Documents on Economics 114575, London School of Economics and Political Science, LSE Library.
    9. Andrea Teglio, 2025. "Rationality, inequality, and the output gap: evidence from a disaggregated Keynesian cross diagram," Journal of Economic Interaction and Coordination, Springer;Society for Economic Science with Heterogeneous Interacting Agents, vol. 20(1), pages 107-139, January.
    10. Hepburn, Cameron & Mealy, Penny, 2017. "Transformational Change: Parallels for addressing climate and development goals," INET Oxford Working Papers 2019-02, Institute for New Economic Thinking at the Oxford Martin School, University of Oxford, revised May 2019.

  23. Jakob Grazzini & Matteo Richiardi, 2014. "Estimation of Ergodic Agent-Based Models by Simulated Minimum Distance," Economics Papers 2014-W07, Economics Group, Nuffield College, University of Oxford.

    Cited by:

    1. Francesco Lamperti & Andrea Roventini & Amir Sani, 2017. "Agent-Based Model Calibration using Machine Learning Surrogates," Université Paris1 Panthéon-Sorbonne (Post-Print and Working Papers) hal-01499344, HAL.
    2. Federico Bassi, 2020. "Chronic Excess Capacity and Unemployment Hysteresis in EU Countries. A Structural Approach," DISCE - Working Papers del Dipartimento di Economia e Finanza def091, Università Cattolica del Sacro Cuore, Dipartimenti e Istituti di Scienze Economiche (DISCE).
    3. Xin, Baohua, 2022. "From Lab Experiments to the Field: The Case of a Price Formation Model Based on Laboratory Findings," Journal of Economic Dynamics and Control, Elsevier, vol. 141(C).
    4. Severin Reissl & Alessandro Caiani & Francesco Lamperti & Mattia Guerini & Fabio Vanni & Giorgio Fagiolo & Tommaso Ferraresi & Leonardo Ghezzi & Mauro Napoletano & Andrea Roventini, 2021. "Assessing the economic impact of lockdowns in Italy: a computational input-output approach," SciencePo Working papers Main hal-03373672, HAL.
    5. 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).
    6. Jessica M. Mc Lay & Roy Lay-Yee & Barry J. Milne & Peter Davis, 2015. "Regression-Style Models for Parameter Estimation in Dynamic Microsimulation: An Empirical Performance Assessment," International Journal of Microsimulation, International Microsimulation Association, vol. 8(2), pages 83-127.
    7. Barde, Sylvain, 2024. "Bayesian estimation of large-scale simulation models with Gaussian process regression surrogates," Computational Statistics & Data Analysis, Elsevier, vol. 196(C).
    8. Zhenxi, Chen & Lux, Thomas, 2015. "Estimation of sentiment effects in financial markets: A simulated method of moments approach," FinMaP-Working Papers 37, Collaborative EU Project FinMaP - Financial Distortions and Macroeconomic Performance: Expectations, Constraints and Interaction of Agents.
    9. 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).
    10. Zakaria Babutsidze, 2018. "The rise of electronic social networks and implications for advertisers," Post-Print hal-03471523, HAL.
    11. Platt, Donovan, 2020. "A comparison of economic agent-based model calibration methods," Journal of Economic Dynamics and Control, Elsevier, vol. 113(C).
    12. Ross Richardson & Matteo G. Richiardi & Michael Wolfson, 2015. "We ran one billion agents. Scaling in simulation models," LABORatorio R. Revelli Working Papers Series 142, LABORatorio R. Revelli, Centre for Employment Studies.
    13. Francisco Blasques & Falk Bräuning & Iman Van Lelyveld, 2016. "A dynamic network model of the unsecured interbank lending market," Working Papers 16-3, Federal Reserve Bank of Boston.
    14. Sylvain Barde, 2019. "Macroeconomic simulation comparison with a multivariate extension of the Markov Information Criterion," Studies in Economics 1908, School of Economics, University of Kent.
    15. Sylvain Barde, 2022. "Bayesian Estimation of Large-Scale Simulation Models with Gaussian Process Regression Surrogates," Studies in Economics 2203, School of Economics, University of Kent.
    16. Ernesto Carrella & Richard M. Bailey & Jens Koed Madsen, 2018. "Indirect inference through prediction," Papers 1807.01579, arXiv.org.
    17. Trond G. Husby & Elco E. Koks, 2017. "Household migration in disaster impact analysis: incorporating behavioural responses to risk," Natural Hazards: Journal of the International Society for the Prevention and Mitigation of Natural Hazards, Springer;International Society for the Prevention and Mitigation of Natural Hazards, vol. 87(1), pages 287-305, May.
    18. Matteo Richiardi, 2015. "The future of agent-based modelling," Economics Papers 2015-W06, Economics Group, Nuffield College, University of Oxford.
    19. Elizabeth Jane Casabianca & Alessia Lo Turco & Daniela Maggioni, 2021. "Migration And The Structure Of Manufacturing Production. A View From Italian Provinces," Working Papers 448, Universita' Politecnica delle Marche (I), Dipartimento di Scienze Economiche e Sociali.
    20. 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.
    21. Jaqueson K. Galimberti & Nicolas Suhadolnik & Sergio Silva, 2017. "Cowboying Stock Market Herds with Robot Traders," Computational Economics, Springer;Society for Computational Economics, vol. 50(3), pages 393-423, October.
    22. 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.
    23. 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.
    24. Anna Klabunde & Frans Willekens, 2016. "Decision-Making in Agent-Based Models of Migration: State of the Art and Challenges," European Journal of Population, Springer;European Association for Population Studies, vol. 32(1), pages 73-97, February.
    25. 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.
    26. Eliasson, Gunnar, 2023. "Bringing markets back into economics," Journal of Economic Behavior & Organization, Elsevier, vol. 216(C), pages 686-710.
    27. Mattia Guerini & Mauro Napoletano & Andrea Roventini, 2016. "No Man is an Island: The Impact of Heterogeneity and Local Interactions on Macroeconomic Dynamics," Working Papers hal-03459315, HAL.
    28. Sylvain Barde & Sander van Der Hoog, 2017. "An empirical validation protocol for large-scale agent-based models," SciencePo Working papers Main hal-03458672, HAL.
    29. 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.
    30. Andrea Vandin & Daniele Giachini & Francesco Lamperti & Francesca Chiaromonte, 2021. "Automated and Distributed Statistical Analysis of Economic Agent-Based Models," Papers 2102.05405, arXiv.org, revised Nov 2023.
    31. Toby Pilditch & Jens Koed Madsen, 2021. "Targeting Your Preferences: Modelling Micro-Targeting for an Increasingly Diverse Electorate," Journal of Artificial Societies and Social Simulation, Journal of Artificial Societies and Social Simulation, vol. 24(1), pages 1-5.
    32. Kukacka, Jiri & Sacht, Stephen, 2023. "Estimation of heuristic switching in behavioral macroeconomic models," Journal of Economic Dynamics and Control, Elsevier, vol. 146(C).
    33. 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.
    34. 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.
    35. Michael Creel, 2016. "Neural Nets for Indirect Inference," Working Papers 942, Barcelona School of Economics.
    36. Lux, Thomas, 2017. "Estimation of agent-based models using sequential Monte Carlo methods," Economics Working Papers 2017-07, Christian-Albrechts-University of Kiel, Department of Economics.
    37. Shiono, Takashi, 2021. "Estimation of agent-based models using Bayesian deep learning approach of BayesFlow," Journal of Economic Dynamics and Control, Elsevier, vol. 125(C).
    38. 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.
    39. Steinbacher, Mitja & Raddant, Matthias & Karimi, Fariba & Camacho-Cuena, Eva & Alfarano, Simone & Iori, Giulia & Lux, Thomas, 2021. "Advances in the Agent-Based Modeling of Economic and Social Behavior," MPRA Paper 107317, University Library of Munich, Germany.
    40. 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.
    41. Lux, Thomas, 2018. "Estimation of agent-based models using sequential Monte Carlo methods," Journal of Economic Dynamics and Control, Elsevier, vol. 91(C), pages 391-408.
    42. 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.
    43. 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.
    44. 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.
    45. Anna Varga-Csajkás & Tamás Sebestyén & Attila Varga, 2023. "Dynamics of collaboration among high-growth firms: results from an agent-based policy simulation," The Annals of Regional Science, Springer;Western Regional Science Association, vol. 70(2), pages 353-377, April.
    46. 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.
    47. Alexandru Mandes & Peter Winker, 2015. "Complexity and Model Comparison in Agent Based Modeling of Financial Markets," MAGKS Papers on Economics 201528, Philipps-Universität Marburg, Faculty of Business Administration and Economics, Department of Economics (Volkswirtschaftliche Abteilung).
    48. Giovanni Dosi & Andrea Roventini, 2019. "More is different ... and complex! the case for agent-based macroeconomics," Journal of Evolutionary Economics, Springer, vol. 29(1), pages 1-37, March.
    49. 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.
    50. Reissl, Severin, 2020. "Minsky from the bottom up – Formalising the two-price model of investment in a simple agent-based framework," Journal of Economic Behavior & Organization, Elsevier, vol. 177(C), pages 109-142.
    51. 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.
    52. 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.
    53. Filippo Gusella & Giorgio Ricchiuti, 2021. "State Space Model to Detect Cycles in Heterogeneous Agents Models," Working Papers - Economics wp2021_10.rdf, Universita' degli Studi di Firenze, Dipartimento di Scienze per l'Economia e l'Impresa.
    54. Tubbenhauer, Tobias & Fieberg, Christian & Poddig, Thorsten, 2021. "Multi-agent-based VaR forecasting," Journal of Economic Dynamics and Control, Elsevier, vol. 131(C).
    55. Giorgio Fagiolo & Andrea Roventini, 2016. "Macroeconomic Policy in DGSE and Agent-Based Models Redux," Working Papers hal-03459348, HAL.
    56. Kukacka, Jiri & Barunik, Jozef, 2017. "Estimation of financial agent-based models with simulated maximum likelihood," Journal of Economic Dynamics and Control, Elsevier, vol. 85(C), pages 21-45.
    57. 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.
    58. Yanqiao Zheng & Xiaobing Zhao & Xiaoqi Zhang & Xinyue Ye & Qiwen Dai, 2019. "Mining the Hidden Link Structure from Distribution Flows for a Spatial Social Network," Complexity, Hindawi, vol. 2019, pages 1-17, May.
    59. 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.
    60. Donovan Platt, 2019. "A Comparison of Economic Agent-Based Model Calibration Methods," Papers 1902.05938, arXiv.org.
    61. 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.
    62. 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).
    63. 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).
    64. 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.
    65. Dinghai Xu & Jingru Ji & Donghua Wang, 2018. "Modelling the spreading process of extreme risks via a simple agent-based model: Evidence from the China stock market," Working Papers 1806, University of Waterloo, Department of Economics, revised 09 Jan 2018.
    66. Timothy Haas, 2020. "Developing political-ecological theory: The need for many-task computing," PLOS ONE, Public Library of Science, vol. 15(11), pages 1-26, November.
    67. 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.
    68. Lamperti, Francesco, 2018. "An information theoretic criterion for empirical validation of simulation models," Econometrics and Statistics, Elsevier, vol. 5(C), pages 83-106.
    69. 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.
    70. 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.
    71. Kang Gao & Perukrishnen Vytelingum & Stephen Weston & Wayne Luk & Ce Guo, 2022. "Understanding intra-day price formation process by agent-based financial market simulation: calibrating the extended chiarella model," Papers 2208.14207, arXiv.org.
    72. 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).
    73. Delli Gatti,Domenico & Fagiolo,Giorgio & Gallegati,Mauro & Richiardi,Matteo & Russo,Alberto (ed.), 2018. "Agent-Based Models in Economics," Cambridge Books, Cambridge University Press, number 9781108400046, January.
    74. Troost, Christian & Huber, Robert & Bell, Andrew R. & van Delden, Hedwig & Filatova, Tatiana & Le, Quang Bao & Lippe, Melvin & Niamir, Leila & Polhill, J. Gareth & Sun, Zhanli & Berger, Thomas, 2023. "How to keep it adequate: A protocol for ensuring validity in agent-based simulation," EconStor Open Access Articles and Book Chapters, ZBW - Leibniz Information Centre for Economics, vol. 159, pages 1-21.
    75. Richiardi, Matteo & Bronka, Patryk & van de Ven, Justin, 2023. "Back to the future: Agent-based modelling and dynamic microsimulation," Centre for Microsimulation and Policy Analysis Working Paper Series CEMPA8/23, Centre for Microsimulation and Policy Analysis at the Institute for Social and Economic Research.
    76. 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.
    77. 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.
    78. Matteo Richiardi, 2016. "Editorial," International Journal of Microsimulation, International Microsimulation Association, vol. 9(2), pages 1-4.
    79. Aldo Glielmo & Marco Favorito & Debmallya Chanda & Domenico Delli Gatti, 2023. "Reinforcement Learning for Combining Search Methods in the Calibration of Economic ABMs," Papers 2302.11835, arXiv.org, revised Dec 2023.
    80. Filippo Gusella & Giorgio Ricchiuti, 2022. "A State-Space Approach for Time-Series Prediction of an Heterogeneous Agent Model," Working Papers - Economics wp2022_20.rdf, Universita' degli Studi di Firenze, Dipartimento di Scienze per l'Economia e l'Impresa.
    81. 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).

  24. Matteo G. Richiardi & Michele Sonnessa, 2013. "JAS 2: a new Java platform for AB modeling and dynamic microsimulation," LABORatorio R. Revelli Working Papers Series 134, LABORatorio R. Revelli, Centre for Employment Studies.

    Cited by:

    1. Matteo Richiardi & Ross E. Richardson, 2017. "JAS-mine: A new platform for microsimulation and agent-based modelling," International Journal of Microsimulation, International Microsimulation Association, vol. 10(1), pages 106-134.
    2. Michele Sonnessa & Elena Tànfani & Angela Testi, 2017. "An agent-based simulation model to evaluate alternative co-payment scenarios for contributing to health systems financing," Journal of the Operational Research Society, Palgrave Macmillan;The OR Society, vol. 68(5), pages 591-604, May.

  25. Fabio Berton & Matteo Richiardi & Stefano Sacchi, 2013. "Non-standard work, low-paid work and employment dynamics: evidence from an occupational perspective," Carlo Alberto Notebooks 336, Collegio Carlo Alberto.

    Cited by:

    1. Luca Cattani & Giovanni Guidetti & Giulio Pedrini, 2021. "Work Flexibility and Workplace Training in Italy Before and After the Jobs Act Reform," Review of Economics and Institutions, Università di Perugia, vol. 12(1).

  26. Jakob Grazzini & Matteo G. Richiardi & Lisa Sella, 2013. "Analysis of Agent-based Models," LABORatorio R. Revelli Working Papers Series 135, LABORatorio R. Revelli, Centre for Employment Studies.

    Cited by:

    1. 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.
    2. Sander van der Hoog, 2017. "Deep Learning in (and of) Agent-Based Models: A Prospectus," Papers 1706.06302, arXiv.org.

  27. Jakob Grazzini & Matteo G. Richiardi, 2013. "Consistent Estimation of Agent-Based Models by Simulated Minimum Distance," LABORatorio R. Revelli Working Papers Series 130, LABORatorio R. Revelli, Centre for Employment Studies.

    Cited by:

    1. 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.
    2. Ross Richardson & Matteo G. Richiardi & Michael Wolfson, 2015. "We ran one billion agents. Scaling in simulation models," LABORatorio R. Revelli Working Papers Series 142, LABORatorio R. Revelli, Centre for Employment Studies.
    3. Matteo Richiardi, 2015. "The future of agent-based modelling," Economics Papers 2015-W06, Economics Group, Nuffield College, University of Oxford.
    4. 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.
    5. Sander van der Hoog, 2017. "Deep Learning in (and of) Agent-Based Models: A Prospectus," Papers 1706.06302, arXiv.org.
    6. G. Rigatos, 2021. "Statistical Validation of Multi-Agent Financial Models Using the H-Infinity Kalman Filter," Computational Economics, Springer;Society for Computational Economics, vol. 58(3), pages 777-798, October.
    7. Oliver Reinhardt & Jason Hilton & Tom Warnke & Jakub Bijak & Adelinde M. Uhrmacher, 2018. "Streamlining Simulation Experiments with Agent-Based Models in Demography," Journal of Artificial Societies and Social Simulation, Journal of Artificial Societies and Social Simulation, vol. 21(3), pages 1-9.

  28. Jacob Grazzini & Matteo Richiardi & Lisa Sella, 2012. "Indirect estimation of agent-based models.An application to a simple diffusion model," LABORatorio R. Revelli Working Papers Series 118, LABORatorio R. Revelli, Centre for Employment Studies.

    Cited by:

    1. Neugart, Michael & Richiardi, Matteo, 2018. "Agent-based models of the labor market," Publications of Darmstadt Technical University, Institute for Business Studies (BWL) 110862, Darmstadt Technical University, Department of Business Administration, Economics and Law, Institute for Business Studies (BWL).
    2. 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.
    3. 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.
    4. Sander van der Hoog, 2017. "Deep Learning in (and of) Agent-Based Models: A Prospectus," Papers 1706.06302, arXiv.org.
    5. Jakob Grazzini & Matteo Richiardi, 2014. "Estimation of Ergodic Agent-Based Models by Simulated Minimum Distance," Economics Papers 2014-W07, Economics Group, Nuffield College, University of Oxford.
    6. Jean-Luc Gaffard & Mauro Napoletano, 2012. "Introduction - Improving the Toolbox: New Advances in Agent-Based and Computational Models," SciencePo Working papers Main hal-01053562, HAL.
    7. Grazzini, Jakob & Richiardi, Matteo, 2013. "Consistent Estimation of Agent-Based Models by Simulated Minimum Distance," Department of Economics and Statistics Cognetti de Martiis. Working Papers 201335, University of Turin.

  29. Andrea Filippo Presbitero & Matteo G. Richiardi & Alessia Amighini, 2012. "Is labor flexibility a substitute to offshoring? Evidence from Italian manafacturing," Mo.Fi.R. Working Papers 72, Money and Finance Research group (Mo.Fi.R.) - Univ. Politecnica Marche - Dept. Economic and Social Sciences.

    Cited by:

    1. Ayumu Tanaka, 2016. "Foreign Direct Investment and Temporary Workers in Japan," Discussion papers e-16-011, Graduate School of Economics , Kyoto University.
    2. Edouard Ribes, 2021. "Scoping the transformation of the professional services industry," Working Papers hal-01889350, HAL.

  30. Michael Neugart & Matteo G. Richiardi, 2012. "Agent-based models of the labor market," LABORatorio R. Revelli Working Papers Series 125, LABORatorio R. Revelli, Centre for Employment Studies.

    Cited by:

    1. Giovanni Dosi & Marcelo Pereira & Andrea Roventini & Maria Enrica Virgillito, 2018. "What if supply-side policies are not enough ? The perverse interaction of flexibility and austerity," SciencePo Working papers Main hal-03458460, HAL.
    2. Giovanni Dosi & Marcelo C. Pereira & Andrea Roventini & Maria Enrica Virgillito, 2016. "When more Flexibility Yields more Fragility: the Microfoundations of Keynesian Aggregate Unemployment," LEM Papers Series 2016/06, Laboratory of Economics and Management (LEM), Sant'Anna School of Advanced Studies, Pisa, Italy.
    3. Dawid, Herbert & Neugart, Michael, 2024. "Effects of technological change and automation on industry structure and (wage-)inequality: insights from a dynamic task-based model," Publications of Darmstadt Technical University, Institute for Business Studies (BWL) 146300, Darmstadt Technical University, Department of Business Administration, Economics and Law, Institute for Business Studies (BWL).
    4. Chen, Siyan & Desiderio, Saul, 2017. "What moves the Beveridge curve and the Phillips curve: An agent-based analysis," Economics Discussion Papers 2017-65, Kiel Institute for the World Economy (IfW Kiel).
    5. Matteo Richiardi, 2015. "The future of agent-based modelling," Economics Papers 2015-W06, Economics Group, Nuffield College, University of Oxford.
    6. Riccetti, Luca & Russo, Alberto & Gallegati, Mauro, 2012. "An Agent Based Decentralized Matching Macroeconomic Model," MPRA Paper 42211, University Library of Munich, Germany.
    7. 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.
    8. Zaharieva, Anna & Neugart, Michael, 2020. "Social Networks, Promotions, and the Glass-Ceiling Effect," VfS Annual Conference 2020 (Virtual Conference): Gender Economics 224534, Verein für Socialpolitik / German Economic Association.
    9. Damdinsuren, Erdenebulgan & Zaharieva, Anna, 2018. "Expectation Formation and Learning in the Labour Market with On-the-Job Search and Nash Bargaining," Center for Mathematical Economics Working Papers 604, Center for Mathematical Economics, Bielefeld University.
    10. Furtado, Bernardo Alves & Eberhardt, Isaque Daniel Rocha, 2015. "Modelo espacial simples da economia: uma proposta teórico-metodológica [A simple spatial economic model: a proposal]," MPRA Paper 67005, University Library of Munich, Germany.
    11. 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.
    12. 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.
    13. Rolf Aaberge & Ugo Colombino, 2018. "Structural Labour Supply Models and Microsimulation," International Journal of Microsimulation, International Microsimulation Association, vol. 11(1), pages 162-197.
    14. Jung-Seung Yang, 2022. "Dynamics of Firm’s Investment in Education and Training: An Agent-based Approach," Computational Economics, Springer;Society for Computational Economics, vol. 60(4), pages 1317-1351, December.
    15. Herbert Dawid & Jasper Hepp, 2022. "Distributional effects of technological regime changes: hysteresis, concentration and inequality dynamics," Review of Evolutionary Political Economy, Springer, vol. 3(1), pages 137-167, April.
    16. Bernardo Alves Furtado & Isaque Daniel Rocha Eberhardt, 2015. "A simple agent-based spatial model of the economy: tools for policy," Papers 1510.04967, arXiv.org, revised Oct 2016.
    17. Jakob Grazzini & Matteo Richiardi, 2014. "Estimation of Ergodic Agent-Based Models by Simulated Minimum Distance," Economics Papers 2014-W07, Economics Group, Nuffield College, University of Oxford.
    18. Georg Jäger & Laura S. Zilian & Christian Hofer & Manfred Füllsack, 2019. "Crowdworking: working with or against the crowd?," Journal of Economic Interaction and Coordination, Springer;Society for Economic Science with Heterogeneous Interacting Agents, vol. 14(4), pages 761-788, December.
    19. Grazzini, Jakob & Richiardi, Matteo, 2013. "Consistent Estimation of Agent-Based Models by Simulated Minimum Distance," Department of Economics and Statistics Cognetti de Martiis. Working Papers 201335, University of Turin.
    20. Mário Amorim-Lopes & Álvaro Almeida & Bernardo Almada-Lobo, 2019. "Physician Emigration: Should they Stay or Should they Go? A Policy Analysis," Computational Economics, Springer;Society for Computational Economics, vol. 54(3), pages 905-931, October.
    21. Bernardo Alves Furtado, 2018. "Modeling tax distribution in metropolitan regions with PolicySpace," Papers 1901.02391, arXiv.org.
    22. André Veski & Kaire Põder, 2018. "Zero-intelligence agents looking for a job," Journal of Economic Interaction and Coordination, Springer;Society for Economic Science with Heterogeneous Interacting Agents, vol. 13(3), pages 615-640, October.
    23. Mário Amorim Lopes & Álvaro Almeida & Bernardo Almada-Lobo, 2017. "Physician emigration: should they stay or should they go? A policy analysis," FEP Working Papers 585, Universidade do Porto, Faculdade de Economia do Porto.

  31. Matteo Richiardi & Ambra Poggi, 2012. "Imputing Individual Effects in Dynamic Microsimulation Models. An application of the Rank Method," Carlo Alberto Notebooks 267, Collegio Carlo Alberto.

    Cited by:

    1. Jessica M. Mc Lay & Roy Lay-Yee & Barry J. Milne & Peter Davis, 2015. "Regression-Style Models for Parameter Estimation in Dynamic Microsimulation: An Empirical Performance Assessment," International Journal of Microsimulation, International Microsimulation Association, vol. 8(2), pages 83-127.
    2. Matteo Richiardi & Ross E. Richardson, 2017. "JAS-mine: A new platform for microsimulation and agent-based modelling," International Journal of Microsimulation, International Microsimulation Association, vol. 10(1), pages 106-134.
    3. Matteo Richiardi & Ambra Poggi, 2014. "Imputing Individual Effects in Dynamic Microsimulation Models. An application to household formation and labour market participation in Italy," International Journal of Microsimulation, International Microsimulation Association, vol. 7(2), pages 3-39.
    4. Ross Richardson & Lia Pacelli & Ambra Poggi & Matteo Richiardi, 2018. "Female Labour Force Projections Using Microsimulation for Six EU Countries APPENDIX," International Journal of Microsimulation, International Microsimulation Association, vol. 11(2), pages 52-83.

  32. Matteo G. Richiardi, 2012. "Forecasting with Unobserved Heterogeneity," LABORatorio R. Revelli Working Papers Series 123, LABORatorio R. Revelli, Centre for Employment Studies.

    Cited by:

    1. Richiardi Matteo & Poggi Ambra, 2012. "Imputing Individual Effects in Dynamic Microsimulation Models. An application of the Rank Method," Department of Economics and Statistics Cognetti de Martiis. Working Papers 201213, University of Turin.
    2. Jinjing Li & Denisa Maria Sologon, 2014. "A Continuous Labour Supply Model in Microsimulation: A Life-Cycle Modelling Approach with Heterogeneity and Uncertainty Extension," PLOS ONE, Public Library of Science, vol. 9(11), pages 1-15, November.
    3. Matteo Richiardi & Ambra Poggi, 2014. "Imputing Individual Effects in Dynamic Microsimulation Models. An application to household formation and labour market participation in Italy," International Journal of Microsimulation, International Microsimulation Association, vol. 7(2), pages 3-39.
    4. Ross Richardson & Lia Pacelli & Ambra Poggi & Matteo Richiardi, 2018. "Female Labour Force Projections Using Microsimulation for Six EU Countries," International Journal of Microsimulation, International Microsimulation Association, vol. 11(2), pages 5-51.

  33. Michael Neugart & Matteo Richiardi, 2011. "Sequential Teamwork in Competitive Environments: Theory and Evidence from Swimming Data," LABORatorio R. Revelli Working Papers Series 109, LABORatorio R. Revelli, Centre for Employment Studies.

    Cited by:

    1. Matthes, Julian & Piazolo, David, 2024. "Don’t put all your legs in one basket: Theory and evidence on coopetition in road cycling," European Economic Review, Elsevier, vol. 170(C).
    2. Dong, Lu & Huang, Lingbo, 2019. "Is there no ‘I’ in team? Strategic effects in multi-battle team competition," Journal of Economic Psychology, Elsevier, vol. 75(PB).
    3. Bar-Eli, Michael & Krumer, Alex & Morgulev, Elia, 2020. "Ask not what economics can do for sports - Ask what sports can do for economics," Journal of Behavioral and Experimental Economics (formerly The Journal of Socio-Economics), Elsevier, vol. 89(C).
    4. Matthes, Julian & Piazolo, David, 2024. "Don’t Put All Your Legs in One Basket: Theory and Evidence on Coopetition in Road Cycling," Working Papers 0751, University of Heidelberg, Department of Economics.
    5. Philipp Wegelin & Johannes Orlowski & Helmut M. Dietl, 2022. "The importance of high performing team members in complex team work: Results from quasi‐experiments in professional team sports," Economic Inquiry, Western Economic Association International, vol. 60(3), pages 1296-1310, July.
    6. Ashby, Nathan J. & Ramos, Miguel A., 2023. "Productivity within groups: An analysis of shirking in high school cross country competitions," Journal of Behavioral and Experimental Economics (formerly The Journal of Socio-Economics), Elsevier, vol. 106(C).
    7. Ashby, Nathan J., 2023. "An examination of peer effects using high school competition realignments," Journal of Economic Behavior & Organization, Elsevier, vol. 206(C), pages 122-135.
    8. Xiandeng Jiang, 2018. "Relative Performance Prizes and Dynamic Incentives in Best-of-N Contests," Review of Industrial Organization, Springer;The Industrial Organization Society, vol. 53(3), pages 563-590, November.

  34. Alessia Amighini & Andrea Filippo Presbitero & Matteo G. Richiardi, 2010. "Delocalizzazione produttiva e mix occupazionale," Mo.Fi.R. Working Papers 42, Money and Finance Research group (Mo.Fi.R.) - Univ. Politecnica Marche - Dept. Economic and Social Sciences.

    Cited by:

    1. Klodian Muço & Emiljan Karma, 2023. "The Determining Factors of the Delocalization of Italian Companies to East European Countries," Economies, MDPI, vol. 11(11), pages 1-16, November.
    2. Alberto Zazzaro, 2011. "The Costs of Inter-Firm Networks," QA - Rivista dell'Associazione Rossi-Doria, Associazione Rossi Doria, issue 4, December.

  35. Dalit Contini & Matteo Richiardi, 2009. "Welfare stigma with decreasing employability," LABORatorio R. Revelli Working Papers Series 90, LABORatorio R. Revelli, Centre for Employment Studies.

    Cited by:

    1. Denton R. Vaughan & Barbara A. Haley & Aref N. Dajani, 2021. "Ten years later: Self‐sufficiency of welfare mothers before the Great Recession," Poverty & Public Policy, John Wiley & Sons, vol. 13(2), pages 184-223, June.

  36. Giuseppe Costa & Roberto Leombruni & Matteo Richiardi, 2008. "Aspettative di vita, lavori usuranti e equità del sistema previdenziale. Prime evidenze dal Work Histories Italian Panel," LABORatorio R. Revelli Working Papers Series 75, LABORatorio R. Revelli, Centre for Employment Studies.

    Cited by:

    1. Roberto Leombruni & Michele Mosca, 2011. "The lifetime gender gap in Italy. Do the pension system countervails labour market outcomes?," LABORatorio R. Revelli Working Papers Series 113, LABORatorio R. Revelli, Centre for Employment Studies.
    2. Adriaan Kalwij, 2014. "An empirical analysis of the importance of controlling for unobserved heterogeneity when estimating the income-mortality gradient," Demographic Research, Max Planck Institute for Demographic Research, Rostock, Germany, vol. 31(30), pages 913-940.
    3. Leombruni Roberto & Mosca Michele, 2013. "The lifetime gender gap in Italy. Does the pension system countervail labour market outcomes?," Department of Economics and Statistics Cognetti de Martiis. Working Papers 201302, University of Turin.

  37. Giovanni Sulis, 2008. "Gender Wage Differentials in Italy: A Structural Estimation Approach," LABORatorio R. Revelli Working Papers Series 74, LABORatorio R. Revelli, Centre for Employment Studies.

    Cited by:

    1. Marilena Furno, 2020. "Returns to Education and Gender Wage Gap Across Quantiles in Italy," Central European Journal of Economic Modelling and Econometrics, Central European Journal of Economic Modelling and Econometrics, vol. 12(2), pages 145-169, June.
    2. Giovanni Sulis, 2011. "What can monopsony explain of the gender wage differential in Italy?," International Journal of Manpower, Emerald Group Publishing Limited, vol. 32(4), pages 446-470, July.
    3. Caliendo, Marco & Lee, Wang-Sheng & Mahlstedt, Robert, 2014. "The Gender Wage Gap: Does a Gender Gap in Reservation Wages Play a Part?," IZA Discussion Papers 8305, Institute of Labor Economics (IZA).
    4. Katie Meara & Francesco Pastore & Allan Webster, 2020. "The gender pay gap in the USA: a matching study," Journal of Population Economics, Springer;European Society for Population Economics, vol. 33(1), pages 271-305, January.
    5. Alexander S. Kritikos & Mika Maliranta & Veera Nippala & Satu Nurmi, 2024. "Does gender of firm ownership matter? Female entrepreneurs and the gender pay gap," Journal of Population Economics, Springer;European Society for Population Economics, vol. 37(2), pages 1-31, June.
    6. Marcela Perticará & Mauricio Tejada, 2022. "Sources of gender wage gaps for skilled workers in Latin American countries," The Journal of Economic Inequality, Springer;Society for the Study of Economic Inequality, vol. 20(2), pages 439-463, June.
    7. d'Agostino, Giorgio & Patriarca, Fabrizio & Pieroni, Luca & Scarlato, Margherita, 2020. "The perverse effects of hiring credits as a place-based policy: Evidence from Southern Italy," MPRA Paper 102240, University Library of Munich, Germany.
    8. Manuela Deidda & Adriana Di Liberto & Marta Foddi & Giovanni Sulis, 2015. "Employment subsidies, informal economy and women’s transition into work in a depressed area: evidence from a matching approach," IZA Journal of Labor Policy, Springer;Forschungsinstitut zur Zukunft der Arbeit GmbH (IZA), vol. 4(1), pages 1-25, December.
    9. Marilena Furno, 2014. "Returns to education and gender gap," International Review of Applied Economics, Taylor & Francis Journals, vol. 28(5), pages 628-649, September.

  38. Mauro Gallegati & Bruce Greenwald & Matteo Richiardi & Joseph Stiglitz, 2007. "The Asymmetric Effect of Diffusion Processes: Risk Sharing and Contagion," LABORatorio R. Revelli Working Papers Series 71, LABORatorio R. Revelli, Centre for Employment Studies.

    Cited by:

    1. Nuno Silva, 2010. "Inter-Sector Relations in the Portuguese Economy: an Application of Contingent," Economic Bulletin and Financial Stability Report Articles and Banco de Portugal Economic Studies, Banco de Portugal, Economics and Research Department.
    2. Frank A.G. den Butter, 2011. "The Macroeconomics of the Credit Crisis: In Search of Externalities for Macro Prudential Supervision," Chapters, in: Emiel F.M. Wubben (ed.), Institutions and Regulation for Economic Growth?, chapter 10, Edward Elgar Publishing.
    3. Mayer-Foulkes David A, 2010. "Long-Term Fundamentals of the 2008 Economic Crisis," Global Economy Journal, De Gruyter, vol. 9(4), pages 1-25, January.
    4. Joseph E. Stiglitz, 2013. "Stable Growth in an Era of Crises; Learning from Economic Theory and History," Ekonomi-tek - International Economics Journal, Turkish Economic Association, vol. 2(1), pages 1-39, January.
    5. Bulent Ozel & Reynold Christian Nathanael & Marco Raberto & Andrea Teglio & Silvano Cincotti, 2016. "Macroeconomic implications of mortgage loans requirements: An agent based approach," Working Papers 2016/05, Economics Department, Universitat Jaume I, Castellón (Spain).
    6. Anna Ferragina & Fernanda Mazzotta, 2015. "Agglomeration economies in Italy: impact on heterogeneous firms’ exit in a multilevel framework," Economia e Politica Industriale: Journal of Industrial and Business Economics, Springer;Associazione Amici di Economia e Politica Industriale, vol. 42(4), pages 395-440, December.
    7. Roy, Saktinil & Kemme, David M., 2012. "Causes of banking crises: Deregulation, credit booms and asset bubbles, then and now," International Review of Economics & Finance, Elsevier, vol. 24(C), pages 270-294.
    8. Joseph E. Stiglitz, 2011. "Rethinking Macroeconomics: What Failed, And How To Repair It," Journal of the European Economic Association, European Economic Association, vol. 9(4), pages 591-645, August.
    9. Joseph E. Stiglitz, 2017. "Where Modern Macroeconomics Went Wrong," NBER Working Papers 23795, National Bureau of Economic Research, Inc.
    10. David Rooney & Tom Mandeville & Tim Kastelle, 2013. "Abstract Knowledge and Reified Financial Innovation: Building Wisdom and Ethics Into Financial Innovation Networks," Journal of Business Ethics, Springer, vol. 118(3), pages 447-459, December.
    11. Roy, Saktinil & Kemme, David M., 2020. "The run-up to the global financial crisis: A longer historical view of financial liberalization, capital inflows, and asset bubbles," International Review of Financial Analysis, Elsevier, vol. 69(C).
    12. Ky-Hyang Yuhn & Sang Bong Kim & Joo Ha Nam, 2015. "Bubbles and the Weibull distribution: was there an explosive bubble in US stock prices before the global economic crisis?," Applied Economics, Taylor & Francis Journals, vol. 47(3), pages 255-271, January.
    13. Highfill Jannett, 2008. "The Economic Crisis as of December 2008: The Global Economy Journal Weighs In," Global Economy Journal, De Gruyter, vol. 8(4), pages 1-7, December.
    14. Soete, Luc, 2009. "Malthus' Revenge," MERIT Working Papers 2009-030, United Nations University - Maastricht Economic and Social Research Institute on Innovation and Technology (MERIT).
    15. Giulio Cainelli & Sandro Montresor & Giuseppe Vittucci Marzetti, 2012. "Production and financial linkages in inter-firm networks: structural variety, risk-sharing and resilience," Journal of Evolutionary Economics, Springer, vol. 22(4), pages 711-734, September.
    16. Naude Wim, 2011. "Global Finance after the Crisis: Reform Imperatives and Vested Interests," Global Economy Journal, De Gruyter, vol. 11(2), pages 1-22, July.
    17. Shoham Amir & Pelzman Joseph, 2011. "A Review of the Crises," Global Economy Journal, De Gruyter, vol. 11(2), pages 1-19, July.
    18. Joseph E. Stiglitz, 2010. "Risk and Global Economic Architecture: Why Full Financial Integration May Be Undesirable," NBER Working Papers 15718, National Bureau of Economic Research, Inc.
    19. Roy, Saktinil, 2022. "What drives the systemic banking crises in advanced economies?," Global Finance Journal, Elsevier, vol. 54(C).
    20. Emiel F.M. Wubben (ed.), 2011. "Institutions and Regulation for Economic Growth?," Books, Edward Elgar Publishing, number 14256.
    21. Firano, Zakaria & Filali adib, Fatine, 2019. "Intersectorial contagion risk in Morocco," MPRA Paper 95343, University Library of Munich, Germany.
    22. Joseph E. Stiglitz, 2015. "Towards a General Theory of Deep Downturns," NBER Working Papers 21444, National Bureau of Economic Research, Inc.
    23. Di Guilmi, C. & Gallegati, M. & Landini, S. & Stiglitz, J.E., 2020. "An analytical solution for network models with heterogeneous and interacting agents," Journal of Economic Behavior & Organization, Elsevier, vol. 171(C), pages 189-220.
    24. Anna Maria Ferragina & Fernanda Mazzotta, 2014. "Agglomeration economies and global activities: impact on firm survival," ERSA conference papers ersa14p348, European Regional Science Association.
    25. Stiglitz Joseph E., 2010. "Contagion, Liberalization, and the Optimal Structure of Globalization," Journal of Globalization and Development, De Gruyter, vol. 1(2), pages 1-47, December.
    26. Joseph E Stiglitz & Mauro Gallegati, 2011. "Heterogeneous Interacting Agent Models for Understanding Monetary Economies," Eastern Economic Journal, Palgrave Macmillan;Eastern Economic Association, vol. 37(1), pages 6-12.
    27. Andrei GIURESCU, 2019. "The global context of economic crises and cohesion funds in the EU," Theoretical and Applied Economics, Asociatia Generala a Economistilor din Romania / Editura Economica, vol. 0(1(618), S), pages 37-50, Spring.

  39. Matteo Richiardi, 2007. "Should (and Could) We Ban Prescriptions?," LABORatorio R. Revelli Working Papers Series 70, LABORatorio R. Revelli, Centre for Employment Studies.

    Cited by:

    1. Neugart, Michael & Richiardi, Matteo, 2018. "Agent-based models of the labor market," Publications of Darmstadt Technical University, Institute for Business Studies (BWL) 110862, Darmstadt Technical University, Department of Business Administration, Economics and Law, Institute for Business Studies (BWL).
    2. Iori, G. & Porter, J., 2012. "Agent-Based Modelling for Financial Markets," Working Papers 12/08, Department of Economics, City University London.
    3. Flavio Lenz-Cesar & Almas Heshmati, 2010. "Agent-based Simulation of Cooperative Innovation," TEMEP Discussion Papers 201052, Seoul National University; Technology Management, Economics, and Policy Program (TEMEP), revised Jan 2010.

  40. Dalit Contini & Annette Riehl & Andrea Scagni, 2007. "The Role of Family Background on Secondary School Choices," LABORatorio R. Revelli Working Papers Series 72, LABORatorio R. Revelli, Centre for Employment Studies.

    Cited by:

    1. Joseph E. Stiglitz, 2010. "Risk and Global Economic Architecture: Why Full Financial Integration May Be Undesirable," NBER Working Papers 15718, National Bureau of Economic Research, Inc.
    2. António R. Antunes & Nuno Silva & Nuno Ribeiro, 2011. "Towards a CCA-based Systemic Risk Indicator," Economic Bulletin and Financial Stability Report Articles and Banco de Portugal Economic Studies, Banco de Portugal, Economics and Research Department.

  41. Matteo Richiardi, 2007. "Agent-based Computational Economics. A Short Introduction," LABORatorio R. Revelli Working Papers Series 69, LABORatorio R. Revelli, Centre for Employment Studies.

    Cited by:

    1. 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.
    2. Matteo Richiardi, 2003. "The Promises and Perils of Agent-Based Computational Economics," LABORatorio R. Revelli Working Papers Series 29, LABORatorio R. Revelli, Centre for Employment Studies.
    3. Matteo Richiardi, 2015. "The future of agent-based modelling," Economics Papers 2015-W06, Economics Group, Nuffield College, University of Oxford.
    4. Jakob Grazzini & Matteo Richiardi, 2014. "Estimation of Ergodic Agent-Based Models by Simulated Minimum Distance," Economics Papers 2014-W07, Economics Group, Nuffield College, University of Oxford.
    5. Grazzini, Jakob & Richiardi, Matteo, 2013. "Consistent Estimation of Agent-Based Models by Simulated Minimum Distance," Department of Economics and Statistics Cognetti de Martiis. Working Papers 201335, University of Turin.
    6. Flavio Lenz-Cesar & Almas Heshmati, 2010. "Agent-based Simulation of Cooperative Innovation," TEMEP Discussion Papers 201052, Seoul National University; Technology Management, Economics, and Policy Program (TEMEP), revised Jan 2010.
    7. Heshmati, Almas & Lenz-Cesar, Flávio, 2013. "Determinants and Policy Simulation of Firms Cooperation in Innovation," IZA Discussion Papers 7487, Institute of Labor Economics (IZA).

  42. Elisa Baroni & Matteo Richiardi, 2007. "Orcutt’s Vision, 50 years on," LABORatorio R. Revelli Working Papers Series 65, LABORatorio R. Revelli, Centre for Employment Studies.

    Cited by:

    1. Andrew Feltenstein & Luciana Lopes & Janet Porras Mendoza & Sally Wallace, 2013. "“The Impact of Micro-simulation and CGE modeling on Tax Reform and Tax Advice in Developing Countries”: A Survey of Alternative Approaches and an Application to Pakistan," International Center for Public Policy Working Paper Series, at AYSPS, GSU paper1309, International Center for Public Policy, Andrew Young School of Policy Studies, Georgia State University.
    2. Eugenio Zucchelli & Andrew M Jones & Nigel Rice, 2012. "The evaluation of health policies through dynamic microsimulation methods," International Journal of Microsimulation, International Microsimulation Association, vol. 5(1), pages 2-20.
    3. Zucchelli, E & Jones, A.M & Rice, N, 2010. "The evaluation of health policies through microsimulation methods," Health, Econometrics and Data Group (HEDG) Working Papers 10/03, HEDG, c/o Department of Economics, University of York.
    4. Georg Struch, 2012. "Entwicklung des integrierten Mikrosimulationsmodells EITDsim," Working Papers 122, Bavarian Graduate Program in Economics (BGPE).

  43. Roberto Leombruni & Matteo Richiardi, 2006. "LABORsim: an Agent-Based Microsimulation of Labour Supply. An Application to Italy," LABORatorio R. Revelli Working Papers Series 46, LABORatorio R. Revelli, Centre for Employment Studies.

    Cited by:

    1. Giovanni Dosi & Andrea Roventini, 2017. "Agent-Based Macroeconomics and Classical Political Economy: Some Italian Roots," Post-Print hal-03399668, HAL.
    2. Farooq, Bilal & Miller, Eric J. & Chingcuanco, Franco & Giroux-Cook, Martin, 2013. "Microsimulation framework for urban price-taker markets," The Journal of Transport and Land Use, Center for Transportation Studies, University of Minnesota, vol. 6(1), pages 41-51.
    3. Matteo Richiardi & Ross E. Richardson, 2017. "JAS-mine: A new platform for microsimulation and agent-based modelling," International Journal of Microsimulation, International Microsimulation Association, vol. 10(1), pages 106-134.
    4. Jinjing Li & Cathal O'Donoghue, 2013. "A survey of dynamic microsimulation models: uses, model structure and methodology," International Journal of Microsimulation, International Microsimulation Association, vol. 6(2), pages 3-55.
    5. Meritxell Solé & Guadalupe Souto & Concepció Patxot, 2018. "Sustainability and adequacy of the Spanish pension system after the 2013 reform: a microsimulation analysis," UB School of Economics Working Papers 2018/372, University of Barcelona School of Economics.
    6. Mathias Dolls & Karina Doorley & Alari Paulus & Hilmar Schneider & Sebastian Siegloch & Eric Sommer, 2017. "Fiscal sustainability and demographic change: a micro-approach for 27 EU countries," International Tax and Public Finance, Springer;International Institute of Public Finance, vol. 24(4), pages 575-615, August.
    7. Concepció Patxot & Meritxell Solé & Guadalupe Souto & Martin Spielauer, 2018. "The Impact of the Retirement Decision and Demographics on Pension Sustainability: A Dynamic Microsimulation Analysis," International Journal of Microsimulation, International Microsimulation Association, vol. 11(2), pages 84-108.
    8. Ross Richardson & Lia Pacelli & Ambra Poggi & Matteo Richiardi, 2018. "Female Labour Force Projections Using Microsimulation for Six EU Countries," International Journal of Microsimulation, International Microsimulation Association, vol. 11(2), pages 5-51.
    9. Roberto Leombruni & Michele Mosca, 2011. "The lifetime gender gap in Italy. Do the pension system countervails labour market outcomes?," LABORatorio R. Revelli Working Papers Series 113, LABORatorio R. Revelli, Centre for Employment Studies.
    10. Juan Manuel Larrosa, 2016. "Agentes computacionales y análisis económico," Revista de Economía Institucional, Universidad Externado de Colombia - Facultad de Economía, vol. 18(34), pages 87-113, January-J.
    11. Hänisch, Carsten & Klos, Jonas, 2016. "Long-run effects of career interruptions: A micro-simulation study," Discussion Paper Series 2016-03, University of Freiburg, Wilfried Guth Endowed Chair for Constitutional Political Economy and Competition Policy.
    12. Georg Jäger & Laura S. Zilian & Christian Hofer & Manfred Füllsack, 2019. "Crowdworking: working with or against the crowd?," Journal of Economic Interaction and Coordination, Springer;Society for Economic Science with Heterogeneous Interacting Agents, vol. 14(4), pages 761-788, December.
    13. Leombruni Roberto & Mosca Michele, 2013. "The lifetime gender gap in Italy. Does the pension system countervail labour market outcomes?," Department of Economics and Statistics Cognetti de Martiis. Working Papers 201302, University of Turin.
    14. Elisa Baroni & Matteo Richiardi, 2007. "Orcutt’s Vision, 50 years on," LABORatorio R. Revelli Working Papers Series 65, LABORatorio R. Revelli, Centre for Employment Studies.
    15. Oliver Mannion & Roy Lay-Yee & Wendy Wrapson & Peter Davis & Janet Pearson, 2012. "JAMSIM: a Microsimulation Modelling Policy Tool," Journal of Artificial Societies and Social Simulation, Journal of Artificial Societies and Social Simulation, vol. 15(1), pages 1-8.
    16. Ross Richardson & Lia Pacelli & Ambra Poggi & Matteo Richiardi, 2018. "Female Labour Force Projections Using Microsimulation for Six EU Countries APPENDIX," International Journal of Microsimulation, International Microsimulation Association, vol. 11(2), pages 52-83.

  44. Dalit Contini & Matteo Richiardi, 2006. "Active and Passive Policies Against Poverty with Decreasing Employability," LABORatorio R. Revelli Working Papers Series 49, LABORatorio R. Revelli, Centre for Employment Studies.

    Cited by:

    1. Contini, Dalit & Richiardi, Matteo G., 2012. "Reconsidering the effect of welfare stigma on unemployment," Journal of Economic Behavior & Organization, Elsevier, vol. 84(1), pages 229-244.

  45. Bruno Contini & Roberto Leombruni & Matteo Richiardi, 2006. "Exploring a New ExpAce: The Complementarities between Experimental Economics and Agent-based Computational Economics," LABORatorio R. Revelli Working Papers Series 45, LABORatorio R. Revelli, Centre for Employment Studies.

    Cited by:

    1. Jason Shachat & J. Todd Swarthout, 2011. "Learning about learning in games through experimental control of strategic interdependence," Working Papers 1103, Xiamen Unversity, The Wang Yanan Institute for Studies in Economics, Finance and Economics Experimental Laboratory, revised 28 Apr 2011.
    2. Grazzini, J., 2011. "Experimental Based, Agent Based Stock Market," CeNDEF Working Papers 11-07, Universiteit van Amsterdam, Center for Nonlinear Dynamics in Economics and Finance.

  46. Roberto Leombruni & Matteo Richiardi & Nicole J. Saam & Michele Sonnessa, 2005. "A Common Protocol for Agent-Based Social Simulation," LABORatorio R. Revelli Working Papers Series 47, LABORatorio R. Revelli, Centre for Employment Studies.

    Cited by:

    1. G. Fagiolo & C. Birchenhall & P. Windrum, 2007. "Empirical Validation in Agent-based Models: Introduction to the Special Issue," Computational Economics, Springer;Society for Computational Economics, vol. 30(3), pages 189-194, October.
    2. Giovanni Dosi & Andrea Roventini, 2017. "Agent-Based Macroeconomics and Classical Political Economy: Some Italian Roots," Post-Print hal-03399668, HAL.
    3. 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).
    4. Gian Maria Campedelli, 2021. "Where are we? Using Scopus to map the literature at the intersection between artificial intelligence and research on crime," Journal of Computational Social Science, Springer, vol. 4(2), pages 503-530, November.
    5. 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.
    6. 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.
    7. Ernesto Carrella & Richard M. Bailey & Jens Koed Madsen, 2018. "Indirect inference through prediction," Papers 1807.01579, arXiv.org.
    8. Thomas Brenner & Claudia Werker, 2007. "A Taxonomy of Inference in Simulation Models," Computational Economics, Springer;Society for Computational Economics, vol. 30(3), pages 227-244, October.
    9. Albert Banal-Estañol & Augusto Rupérez-Micola, 2010. "Are agent-based simulations robust? The wholesale electricity trading case," Economics Working Papers 1214, Department of Economics and Business, Universitat Pompeu Fabra.
    10. Matteo Richiardi, 2015. "The future of agent-based modelling," Economics Papers 2015-W06, Economics Group, Nuffield College, University of Oxford.
    11. Sara McPhee-Knowles, 2015. "Growing Food Safety from the Bottom Up: An Agent-Based Model of Food Safety Inspections," Journal of Artificial Societies and Social Simulation, Journal of Artificial Societies and Social Simulation, vol. 18(2), pages 1-9.
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    13. 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.
    14. 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.
    15. Iris Lorscheid & Bernd-Oliver Heine & Matthias Meyer, 2012. "Opening the ‘black box’ of simulations: increased transparency and effective communication through the systematic design of experiments," Computational and Mathematical Organization Theory, Springer, vol. 18(1), pages 22-62, March.
    16. Karolina Safarzyńska & Jeroen Bergh, 2010. "Evolutionary models in economics: a survey of methods and building blocks," Journal of Evolutionary Economics, Springer, vol. 20(3), pages 329-373, June.
    17. 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.
    18. Enrico Cozzoni & Carmine Passavanti & Cristina Ponsiglione & Simonetta Primario & Pierluigi Rippa, 2021. "Interorganizational Collaboration in Innovation Networks: An Agent Based Model for Responsible Research and Innovation in Additive Manufacturing," Sustainability, MDPI, vol. 13(13), pages 1-17, July.
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    29. 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.
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    32. 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.
    33. Jakob Grazzini, 2011. "Consistent Estimation of Agent Based Models," LABORatorio R. Revelli Working Papers Series 110, LABORatorio R. Revelli, Centre for Employment Studies.
    34. Nadia N Abuelezam & Kathryn Rough & George R Seage III, 2013. "Individual-Based Simulation Models of HIV Transmission: Reporting Quality and Recommendations," PLOS ONE, Public Library of Science, vol. 8(9), pages 1-1, September.
    35. Weidlich Anke & Veit Daniel, 2008. "Agent-Based Simulations for Electricity Market Regulation Advice: Procedures and an Example," Journal of Economics and Statistics (Jahrbuecher fuer Nationaloekonomie und Statistik), De Gruyter, vol. 228(2-3), pages 149-172, April.
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    38. 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).
    39. Ian McCarthy, 2008. "Simulating Sequential Search Models with Genetic Algorithms: Analysis of Price Ceilings, Taxes, Advertising and Welfare," CAEPR Working Papers 2008-010, Center for Applied Economics and Policy Research, Department of Economics, Indiana University Bloomington.
    40. Elizabeth Hunter & Brian Mac Namee & John D. Kelleher, 2020. "A Model for the Spread of Infectious Diseases in a Region," IJERPH, MDPI, vol. 17(9), pages 1-19, April.
    41. Roberto Leombruni & Matteo Richiardi, 2006. "Introduction," Computational Economics, Springer;Society for Computational Economics, vol. 27(1), pages 1-1, February.
    42. Friederike Wall, 2016. "Agent-based modeling in managerial science: an illustrative survey and study," Review of Managerial Science, Springer, vol. 10(1), pages 135-193, January.
    43. José Manuel Galán & Luis R. Izquierdo & Segismundo S. Izquierdo & José Ignacio Santos & Ricardo del Olmo & Adolfo López-Paredes & Bruce Edmonds, 2009. "Errors and Artefacts in Agent-Based Modelling," Journal of Artificial Societies and Social Simulation, Journal of Artificial Societies and Social Simulation, vol. 12(1), pages 1-1.
    44. Ugo Merlone & Michele Sonnessa & Pietro Terna, 2008. "Horizontal and Vertical Multiple Implementations in a Model of Industrial Districts," Journal of Artificial Societies and Social Simulation, Journal of Artificial Societies and Social Simulation, vol. 11(2), pages 1-5.
    45. Ivonne Schwartz & Mark Kirstein, 2022. "Time is limited on the road to asymptopia," Papers 2208.08169, arXiv.org.
    46. Stuart Rossiter & Jason Noble & Keith R.W. Bell, 2010. "Social Simulations: Improving Interdisciplinary Understanding of Scientific Positioning and Validity," Journal of Artificial Societies and Social Simulation, Journal of Artificial Societies and Social Simulation, vol. 13(1), pages 1-10.
    47. Flaminio Squazzoni, 2010. "The impact of agent-based models in the social sciences after 15 years of incursions," History of Economic Ideas, Fabrizio Serra Editore, Pisa - Roma, vol. 18(2), pages 197-234.
    48. Sina Hocke & Matthias Meyer & Iris Lorscheid, 2015. "Improving simulation model analysis and communication via design of experiment principles: an example from the simulation-based design of cost accounting systems," Journal of Management Control: Zeitschrift für Planung und Unternehmenssteuerung, Springer, vol. 26(2), pages 131-155, August.
    49. Lamperti, Francesco, 2018. "An information theoretic criterion for empirical validation of simulation models," Econometrics and Statistics, Elsevier, vol. 5(C), pages 83-106.
    50. Hepburn, Cameron & Mealy, Penny, 2017. "Transformational Change: Parallels for addressing climate and development goals," INET Oxford Working Papers 2019-02, Institute for New Economic Thinking at the Oxford Martin School, University of Oxford, revised May 2019.
    51. 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.
    52. 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.
    53. Cathérine Grisar & Matthias Meyer, 2016. "Use of simulation in controlling research: a systematic literature review for German-speaking countries," Management Review Quarterly, Springer, vol. 66(2), pages 117-157, April.
    54. Páez-Pérez, David & Sánchez-Silva, Mauricio, 2016. "A dynamic principal-agent framework for modeling the performance of infrastructure," European Journal of Operational Research, Elsevier, vol. 254(2), pages 576-594.
    55. 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.
    56. 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.
    57. Grazzini Jakob, 2011. "Estimating Micromotives from Macrobehavior," Department of Economics and Statistics Cognetti de Martiis. Working Papers 201111, University of Turin.
    58. 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.
    59. J. Gareth Polhill & Dawn C. Parker & Daniel Brown & Volker Grimm, 2008. "Using the ODD Protocol for Describing Three Agent-Based Social Simulation Models of Land-Use Change," Journal of Artificial Societies and Social Simulation, Journal of Artificial Societies and Social Simulation, vol. 11(2), pages 1-3.
    60. James Nolan & Dawn Parker & G. Cornelis Van Kooten & Thomas Berger, 2009. "An Overview of Computational Modeling in Agricultural and Resource Economics," Canadian Journal of Agricultural Economics/Revue canadienne d'agroeconomie, Canadian Agricultural Economics Society/Societe canadienne d'agroeconomie, vol. 57(4), pages 417-429, December.
    61. Ahmed Laatabi & Nicolas Marilleau & Tri Nguyen-Huu & Hassan Hbid & Mohamed Ait Babram, 2018. "ODD+2D: An ODD Based Protocol for Mapping Data to Empirical ABMs," Journal of Artificial Societies and Social Simulation, Journal of Artificial Societies and Social Simulation, vol. 21(2), pages 1-9.
    62. James F. Robison-Cox & Richard F. Martell & Cynthia G. Emrich, 2007. "Simulating Gender Stratification," Journal of Artificial Societies and Social Simulation, Journal of Artificial Societies and Social Simulation, vol. 10(3), pages 1-8.
    63. Javier Arroyo & Samer Hassan & Celia Gutiérrez & Juan Pavón, 2010. "Re-thinking simulation: a methodological approach for the application of data mining in agent-based modelling," Computational and Mathematical Organization Theory, Springer, vol. 16(4), pages 416-435, December.
    64. Stephan Leitner & Friederike Wall, 2015. "Simulation-based research in management accounting and control: an illustrative overview," Journal of Management Control: Zeitschrift für Planung und Unternehmenssteuerung, Springer, vol. 26(2), pages 105-129, August.
    65. Olaru, Doina & Purchase, Sharon, 2014. "Rethinking validation: Efficient search of the space of parameters for an agent-based model," Australasian marketing journal, Elsevier, vol. 22(1), pages 60-68.
    66. J. Farmer & Cameron Hepburn & Penny Mealy & Alexander Teytelboym, 2015. "A Third Wave in the Economics of Climate Change," Environmental & Resource Economics, Springer;European Association of Environmental and Resource Economists, vol. 62(2), pages 329-357, October.
    67. Rubén Fuentes-Fernández & Samer Hassan & Juan Pavón & José M. Galán & Adolfo López-Paredes, 2012. "Metamodels for role-driven agent-based modelling," Computational and Mathematical Organization Theory, Springer, vol. 18(1), pages 91-112, March.
    68. Luis R. Izquierdo & Segismundo S. Izquierdo & José Manuel Galán & José Ignacio Santos, 2009. "Techniques to Understand Computer Simulations: Markov Chain Analysis," Journal of Artificial Societies and Social Simulation, Journal of Artificial Societies and Social Simulation, vol. 12(1), pages 1-6.
    69. 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.
    70. Jakob Grazzini, 2012. "Analysis of the Emergent Properties: Stationarity and Ergodicity," Journal of Artificial Societies and Social Simulation, Journal of Artificial Societies and Social Simulation, vol. 15(2), pages 1-7.
    71. Niamir, Leila & Filatova, Tatiana & Voinov, Alexey & Bressers, Hans, 2018. "Transition to low-carbon economy: Assessing cumulative impacts of individual behavioral changes," Energy Policy, Elsevier, vol. 118(C), pages 325-345.
    72. 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.

  47. Matteo Richiardi, 2005. "Towards a Non-Equilibrium Unemployment Theory," LABORatorio R. Revelli Working Papers Series 37, LABORatorio R. Revelli, Centre for Employment Studies.

    Cited by:

    1. Orlando, Giuseppe, 2022. "Simulating heterogeneous corporate dynamics via the Rulkov map," Structural Change and Economic Dynamics, Elsevier, vol. 61(C), pages 32-42.
    2. Araujo, Ricardo Azevedo & de Souza, Nathalia Almeida, 2010. "An evolutionary game theory approach to the dynamics of the labour market: A formal and informal perspective," Structural Change and Economic Dynamics, Elsevier, vol. 21(2), pages 101-110, May.
    3. Delli Gatti,Domenico & Fagiolo,Giorgio & Gallegati,Mauro & Richiardi,Matteo & Russo,Alberto (ed.), 2018. "Agent-Based Models in Economics," Cambridge Books, Cambridge University Press, number 9781108400046, January.

  48. Matteo Richiardi, 2003. "Generalizing Gibrat. Reasonable Multiplicative Models of Firm Dynamics," Industrial Organization 0304004, University Library of Munich, Germany.

    Cited by:

    1. Guido Fioretti, 2005. "The Production Function," Papers physics/0511191, arXiv.org.
    2. Emeterio Navarro & Ruben Cantero & Joao Rodrigues & Frank Schweitzer, 2007. "Investments in Random Environments," Papers 0709.3630, arXiv.org, revised Sep 2008.
    3. Segarra, Agustí & Teruel, Mercedes, 2012. "An appraisal of firm size distribution: Does sample size matter?," Journal of Economic Behavior & Organization, Elsevier, vol. 82(1), pages 314-328.
    4. Delli Gatti, Domenico & Di Guilmi, Corrado & Gaffeo, Edoardo & Gallegati, Mauro, 2004. "Bankruptcy as an exit mechanism for systems with a variable number of components," Physica A: Statistical Mechanics and its Applications, Elsevier, vol. 344(1), pages 8-13.

  49. Matteo Richiardi, 2003. "A Search Model of Unemployment and Firm Dynamics," LABORatorio R. Revelli Working Papers Series 30, LABORatorio R. Revelli, Centre for Employment Studies.

    Cited by:

    1. Neugart, Michael & Richiardi, Matteo, 2018. "Agent-based models of the labor market," Publications of Darmstadt Technical University, Institute for Business Studies (BWL) 110862, Darmstadt Technical University, Department of Business Administration, Economics and Law, Institute for Business Studies (BWL).
    2. Neugart, Michael, 2006. "Labor market policy evaluation with an agent-based model," MPRA Paper 4726, University Library of Munich, Germany.
    3. Neugart, Michael, 2008. "Labor market policy evaluation with ACE," Publications of Darmstadt Technical University, Institute for Business Studies (BWL) 57259, Darmstadt Technical University, Department of Business Administration, Economics and Law, Institute for Business Studies (BWL).
    4. Michael Neugart, 2004. "Endogenous Matching Functions: An Agent-Based Computational Approach," Advances in Complex Systems (ACS), World Scientific Publishing Co. Pte. Ltd., vol. 7(02), pages 187-201.
    5. Damdinsuren, Erdenebulgan & Zaharieva, Anna, 2018. "Expectation Formation and Learning in the Labour Market with On-the-Job Search and Nash Bargaining," Center for Mathematical Economics Working Papers 604, Center for Mathematical Economics, Bielefeld University.
    6. Matteo Richiardi, 2006. "Toward a Non-Equilibrium Unemployment Theory," Computational Economics, Springer;Society for Computational Economics, vol. 28(4), pages 421-446, November.
    7. André Veski & Kaire Põder, 2018. "Zero-intelligence agents looking for a job," Journal of Economic Interaction and Coordination, Springer;Society for Economic Science with Heterogeneous Interacting Agents, vol. 13(3), pages 615-640, October.

  50. Matteo Richiardi, 2003. "The Promises and Perils of Agent-Based Computational Economics," LABORatorio R. Revelli Working Papers Series 29, LABORatorio R. Revelli, Centre for Employment Studies.

    Cited by:

    1. Matteo Richiardi, 2004. "A Search Model Of Unemployment And Firm Dynamics," World Scientific Book Chapters, in: Roberto Leombruni & Matteo Richiardi (ed.), Industry And Labor Dynamics The Agent-Based Computational Economics Approach, chapter 7, pages 107-128, World Scientific Publishing Co. Pte. Ltd..
    2. 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.
    3. Matteo Richiardi, 2003. "The Promises and Perils of Agent-Based Computational Economics," LABORatorio R. Revelli Working Papers Series 29, LABORatorio R. Revelli, Centre for Employment Studies.
    4. Babatunde, Kazeem Alasinrin & Begum, Rawshan Ara & Said, Fathin Faizah, 2017. "Application of computable general equilibrium (CGE) to climate change mitigation policy: A systematic review," Renewable and Sustainable Energy Reviews, Elsevier, vol. 78(C), pages 61-71.
    5. Matteo Richiardi, 2003. "On the Use of Agent-Based Simulations," LABORatorio R. Revelli Working Papers Series 32, LABORatorio R. Revelli, Centre for Employment Studies.
    6. 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.
    7. 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.
    8. Weigt, Hannes, 2009. "A Review of Liberalization and Modeling of Electricity Markets," MPRA Paper 65651, University Library of Munich, Germany.
    9. Juan Manuel Larrosa, 2016. "Agentes computacionales y análisis económico," Revista de Economía Institucional, Universidad Externado de Colombia - Facultad de Economía, vol. 18(34), pages 87-113, January-J.
    10. 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.
    11. 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.
    12. 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.
    13. Schuster, Stephan, 2012. "Applications in Agent-Based Computational Economics," MPRA Paper 47201, University Library of Munich, Germany.

  51. Matteo Richiardi, 2002. "What Does the ECHP Tell Us About Labour Status Misperception: a Journey in Less Known Regions of Labour Discomfort," LABORatorio R. Revelli Working Papers Series 10, LABORatorio R. Revelli, Centre for Employment Studies.

    Cited by:

    1. Luebker, Malte., 2008. "Decent work and informal employment : a survey of workers in Glen View, Harare," ILO Working Papers 994206953402676, International Labour Organization.
    2. Peder Pedersen & Torben Schmidt, 2011. "What is unemployment in Europe? Concepts and measurement in the European community household panel," Empirical Economics, Springer, vol. 40(3), pages 705-728, May.

Articles

  1. Matteo G. Richiardi & Luis Valenzuela, 2024. "Firm heterogeneity and the aggregate labour share," LABOUR, CEIS, vol. 38(1), pages 66-101, March.
    See citations under working paper version above.
  2. J. Doyne Farmer & John Geanakoplos & Matteo G. Richiardi & Miquel Montero & Josep Perelló & Jaume Masoliver, 2024. "Discounting the Distant Future: What Do Historical Bond Prices Imply about the Long-Term Discount Rate?," Mathematics, MDPI, vol. 12(5), pages 1-25, February.
    See citations under working paper version above.
  3. Matteo G Richiardi & Diego Collado & Daria Popova, 2021. "UKMOD – A new tax-benefit model for the four nations of the UK," International Journal of Microsimulation, International Microsimulation Association, vol. 14(1), pages 92-101.

    Cited by:

    1. Richiardi, Matteo & Bronka, Patryk & van de Ven, Justin, 2024. "Attenuation and reinforcement mechanisms over the life course," Centre for Microsimulation and Policy Analysis Working Paper Series CEMPA2/24, Centre for Microsimulation and Policy Analysis at the Institute for Social and Economic Research.

  4. Costanza Pizzi & Matteo Richiardi & Marie-Aline Charles & Barbara Heude & Jean-Louis Lanoe & Sandrine Lioret & Sonia Brescianini & Virgilia Toccaceli & Martine Vrijheid & Franco Merletti & Daniela Zug, 2020. "Measuring Child Socio-Economic Position in Birth Cohort Research: The Development of a Novel Standardized Household Income Indicator," IJERPH, MDPI, vol. 17(5), pages 1-17, March.

    Cited by:

    1. Cristina Canova & Anna Cantarutti, 2020. "Population-Based Birth Cohort Studies in Epidemiology," IJERPH, MDPI, vol. 17(15), pages 1-6, July.
    2. Pizzi, Costanza & Moirano, Giovenale & Moccia, Chiara & Maule, Milena & D'Errico, Antonio & Vrijheid, Martine & Cadman, Timothy J. & Fossati, Serena & Nieuwenhuijsen, Mark & Beneito, Andrea & Calas, L, 2024. "Socioeconomic position during pregnancy and pre-school exposome in children from eight European birth cohort studies," Social Science & Medicine, Elsevier, vol. 359(C).

  5. Ross Richardson & Lia Pacelli & Matteo Richiardi, 2019. "Understanding low female labour force participation: Policy evaluation using microsimulation," International Journal of Microsimulation, International Microsimulation Association, vol. 12(2), pages 52-68.
    See citations under working paper version above.
  6. Brian Nolan & Matteo G. Richiardi & Luis Valenzuela, 2019. "The Drivers Of Income Inequality In Rich Countries," Journal of Economic Surveys, Wiley Blackwell, vol. 33(4), pages 1285-1324, September.
    See citations under working paper version above.
  7. Nadia Campaniello & Matteo Richiardi, 2018. "The role of museums in bilateral tourist flows: evidence from Italy," Oxford Economic Papers, Oxford University Press, vol. 70(3), pages 658-679.
    See citations under working paper version above.
  8. Ross Richardson & Lia Pacelli & Ambra Poggi & Matteo Richiardi, 2018. "Female Labour Force Projections Using Microsimulation for Six EU Countries," International Journal of Microsimulation, International Microsimulation Association, vol. 11(2), pages 5-51.
    See citations under working paper version above.
  9. Ross Richardson & Lia Pacelli & Ambra Poggi & Matteo Richiardi, 2018. "Female Labour Force Projections Using Microsimulation for Six EU Countries APPENDIX," International Journal of Microsimulation, International Microsimulation Association, vol. 11(2), pages 52-83.

    Cited by:

    1. Ross Richardson & Lia Pacelli & Ambra Poggi & Matteo Richiardi, 2018. "Female Labour Force Projections Using Microsimulation for Six EU Countries," International Journal of Microsimulation, International Microsimulation Association, vol. 11(2), pages 5-51.
    2. Filandri, Marianna & Pasqua, Silvia, 2019. "Gender discrimination in academic careers in Italy," Department of Economics and Statistics Cognetti de Martiis. Working Papers 201921, University of Turin.
    3. Richiardi, Matteo & He, Zhechun, 2020. "Measuring economic insecurity: a simulation approach," Centre for Microsimulation and Policy Analysis Working Paper Series CEMPA2/20, Centre for Microsimulation and Policy Analysis at the Institute for Social and Economic Research.

  10. Fabio Berton & Sauro Mocetti & Andrea F. Presbitero & Matteo Richiardi, 2018. "Banks, Firms, and Jobs," The Review of Financial Studies, Society for Financial Studies, vol. 31(6), pages 2113-2156.
    See citations under working paper version above.
  11. Matteo G. Richiardi, 2017. "The Future of Agent-Based Modeling," Eastern Economic Journal, Palgrave Macmillan;Eastern Economic Association, vol. 43(2), pages 271-287, March.
    See citations under working paper version above.
  12. Matteo Richiardi & Ross E. Richardson, 2017. "JAS-mine: A new platform for microsimulation and agent-based modelling," International Journal of Microsimulation, International Microsimulation Association, vol. 10(1), pages 106-134.
    See citations under working paper version above.
  13. 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.
    See citations under working paper version above.
  14. Grazzini, Jakob & Richiardi, Matteo, 2015. "Estimation of ergodic agent-based models by simulated minimum distance," Journal of Economic Dynamics and Control, Elsevier, vol. 51(C), pages 148-165.
    See citations under working paper version above.
  15. Andrea F. Presbitero & Matteo G. Richiardi & Alessia A. Amighini, 2015. "Is labor flexibility a substitute to offshoring? Evidence from Italian manufacturing," International Economics, CEPII research center, issue 142, pages 81-93.
    See citations under working paper version above.
  16. Matteo Richiardi & Ambra Poggi, 2014. "Imputing Individual Effects in Dynamic Microsimulation Models. An application to household formation and labour market participation in Italy," International Journal of Microsimulation, International Microsimulation Association, vol. 7(2), pages 3-39.

    Cited by:

    1. Jessica M. Mc Lay & Roy Lay-Yee & Barry J. Milne & Peter Davis, 2015. "Regression-Style Models for Parameter Estimation in Dynamic Microsimulation: An Empirical Performance Assessment," International Journal of Microsimulation, International Microsimulation Association, vol. 8(2), pages 83-127.
    2. Matteo Richiardi & Ross E. Richardson, 2017. "JAS-mine: A new platform for microsimulation and agent-based modelling," International Journal of Microsimulation, International Microsimulation Association, vol. 10(1), pages 106-134.
    3. Cathal O'Donoghue & Gijs Dekkers, 2018. "Increasing the Impact of Dynamic Microsimulation Modelling," International Journal of Microsimulation, International Microsimulation Association, vol. 11(1), pages 61-96.
    4. Ross Richardson & Lia Pacelli & Ambra Poggi & Matteo Richiardi, 2018. "Female Labour Force Projections Using Microsimulation for Six EU Countries," International Journal of Microsimulation, International Microsimulation Association, vol. 11(2), pages 5-51.
    5. Richiardi, Matteo & He, Zhechun, 2020. "Measuring economic insecurity: a simulation approach," Centre for Microsimulation and Policy Analysis Working Paper Series CEMPA2/20, Centre for Microsimulation and Policy Analysis at the Institute for Social and Economic Research.
    6. Li Tan, 2021. "Imputing Top‐Coded Income Data in Longitudinal Surveys," Oxford Bulletin of Economics and Statistics, Department of Economics, University of Oxford, vol. 83(1), pages 66-87, February.
    7. Ross Richardson & Lia Pacelli & Ambra Poggi & Matteo Richiardi, 2018. "Female Labour Force Projections Using Microsimulation for Six EU Countries APPENDIX," International Journal of Microsimulation, International Microsimulation Association, vol. 11(2), pages 52-83.

  17. Neugart, Michael & Richiardi, Matteo G., 2013. "Sequential teamwork in competitive environments: Theory and evidence from swimming data," European Economic Review, Elsevier, vol. 63(C), pages 186-205.
    See citations under working paper version above.
  18. Contini, Dalit & Richiardi, Matteo G., 2012. "Reconsidering the effect of welfare stigma on unemployment," Journal of Economic Behavior & Organization, Elsevier, vol. 84(1), pages 229-244.

    Cited by:

    1. Michelle Peterie & Gaby Ramia & Greg Marston & Roger Patulny, 2019. "Emotional Compliance and Emotion as Resistance: Shame and Anger among the Long-Term Unemployed," Work, Employment & Society, British Sociological Association, vol. 33(5), pages 794-811, October.
    2. Yann Algan & Pierre Cahuc, 2009. "Civic Virtue and Labor Market Institutions," SciencePo Working papers Main hal-03384694, HAL.
    3. Long, Iain W. & Polito, Vito, 2015. "Cash-in-Hand, Benefit Fraud and Unemployment Insurance," Cardiff Economics Working Papers E2015/4, Cardiff University, Cardiff Business School, Economics Section.
    4. Wolf, Tobias, 2020. "Welfare while working: How does the life satisfaction approach help to explain job search behavior?," Discussion Papers 2020/14, Free University Berlin, School of Business & Economics.
    5. Kamil ORHAN, 2018. "Fatality Fire of the Unemployment Hills: Fatality Tendency and Job Search Tools," Sosyoekonomi Journal, Sosyoekonomi Society, issue 26(38).
    6. Santiago Acerenza, 2021. "Partial Identification of Marginal Treatment Effects with discrete instruments and misreported treatment," Papers 2110.06285, arXiv.org, revised Mar 2023.

  19. Richiardi Matteo G, 2009. "Should (and Could) We Ban Prescriptions?," The B.E. Journal of Economic Analysis & Policy, De Gruyter, vol. 9(1), pages 1-28, January.
    See citations under working paper version above.
  20. Gallegati Mauro & Greenwald Bruce & Richiardi Matteo G & Stiglitz Joseph E., 2008. "The Asymmetric Effect of Diffusion Processes: Risk Sharing and Contagion," Global Economy Journal, De Gruyter, vol. 8(3), pages 1-22, September.
    See citations under working paper version above.
  21. Matteo Richiardi & Dalit Contini, 2008. "Active and Passive Policies Against Poverty with Decreasing Employability," Rivista italiana degli economisti, Società editrice il Mulino, issue 2, pages 245-272.
    See citations under working paper version above.
  22. Matteo Richiardi & Roberto Leombruni & Nicole J. Saam & Michele Sonnessa, 2006. "A Common Protocol for Agent-Based Social Simulation," Journal of Artificial Societies and Social Simulation, Journal of Artificial Societies and Social Simulation, vol. 9(1), pages 1-15.
    See citations under working paper version above.
  23. Matteo Richiardi, 2006. "Toward a Non-Equilibrium Unemployment Theory," Computational Economics, Springer;Society for Computational Economics, vol. 27(1), pages 135-160, February.
    See citations under working paper version above.
  24. Richiardi, Matteo, 2006. "Jesus vs. Hillel. From moral to social norms and back," European Journal of Economic and Social Systems, Lavoisier, vol. 19(2), pages 171-190.

    Cited by:

    1. Matteo Richiardi, 2007. "Should (and Could) We Ban Prescriptions?," LABORatorio R. Revelli Working Papers Series 70, LABORatorio R. Revelli, Centre for Employment Studies.

  25. Roberto Leombruni & Matteo Richiardi, 2006. "LABORsim: An Agent-Based Microsimulation of Labour Supply – An Application to Italy," Computational Economics, Springer;Society for Computational Economics, vol. 27(1), pages 63-88, February.
    See citations under working paper version above.
  26. Leombruni, Roberto & Richiardi, Matteo, 2005. "Why are economists sceptical about agent-based simulations?," Physica A: Statistical Mechanics and its Applications, Elsevier, vol. 355(1), pages 103-109.

    Cited by:

    1. Neugart, Michael & Richiardi, Matteo, 2018. "Agent-based models of the labor market," Publications of Darmstadt Technical University, Institute for Business Studies (BWL) 110862, Darmstadt Technical University, Department of Business Administration, Economics and Law, Institute for Business Studies (BWL).
    2. Roberto Leombruni & Matteo Richiardi & Nicole J. Saam & Michele Sonnessa, 2005. "A Common Protocol for Agent-Based Social Simulation," LABORatorio R. Revelli Working Papers Series 47, LABORatorio R. Revelli, Centre for Employment Studies.
    3. 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.
    4. Midgley, David & Marks, Robert & Kunchamwar, Dinesh, 2007. "Building and assurance of agent-based models: An example and challenge to the field," Journal of Business Research, Elsevier, vol. 60(8), pages 884-893, August.
    5. Matteo Richiardi, 2015. "The future of agent-based modelling," Economics Papers 2015-W06, Economics Group, Nuffield College, University of Oxford.
    6. Matthew Oldham, 2019. "Understanding How Short-Termism and a Dynamic Investor Network Affects Investor Returns: An Agent-Based Perspective," Complexity, Hindawi, vol. 2019, pages 1-21, July.
    7. Otto, C. & Willner, S.N. & Wenz, L. & Frieler, K. & Levermann, A., 2017. "Modeling loss-propagation in the global supply network: The dynamic agent-based model acclimate," Journal of Economic Dynamics and Control, Elsevier, vol. 83(C), pages 232-269.
    8. 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.
    9. Klaus Jaffe, 2015. "Agent based simulations visualize Adam Smith's invisible hand by solving Friedrich Hayek's Economic Calculus," Papers 1509.04264, arXiv.org, revised Nov 2015.
    10. Held, Fabian P. & Wilkinson, Ian F. & Marks, Robert E. & Young, Louise, 2014. "Agent-based Modelling, a new kind of research," Australasian marketing journal, Elsevier, vol. 22(1), pages 4-14.
    11. Gianluca Manzo & Delia Baldassarri, 2015. "Heuristics, Interactions, and Status Hierarchies," Sociological Methods & Research, , vol. 44(2), pages 329-387, May.
    12. Vijayanarasimha Hindupur Pakka & Richard Mark Rylatt, 2016. "Design and Analysis of Electrical Distribution Networks and Balancing Markets in the UK: A New Framework with Applications," Energies, MDPI, vol. 9(2), pages 1, February.
    13. Chen Gao & Xiaochong Lan & Nian Li & Yuan Yuan & Jingtao Ding & Zhilun Zhou & Fengli Xu & Yong Li, 2024. "Large language models empowered agent-based modeling and simulation: a survey and perspectives," Palgrave Communications, Palgrave Macmillan, vol. 11(1), pages 1-24, December.
    14. Rixen, Martin & Weigand, Jürgen, 2014. "Agent-based simulation of policy induced diffusion of smart meters," Technological Forecasting and Social Change, Elsevier, vol. 85(C), pages 153-167.
    15. Kuhla, Kilian & Willner, Sven N & Otto, Christian & Levermann, Anders, 2023. "Resilience of international trade to typhoon-related supply disruptions," Journal of Economic Dynamics and Control, Elsevier, vol. 151(C).
    16. Jacob Grazzini & Matteo Richiardi & Lisa Sella, 2012. "Indirect estimation of agent-based models.An application to a simple diffusion model," LABORatorio R. Revelli Working Papers Series 118, LABORatorio R. Revelli, Centre for Employment Studies.
    17. Jakob Grazzini, 2011. "Consistent Estimation of Agent Based Models," LABORatorio R. Revelli Working Papers Series 110, LABORatorio R. Revelli, Centre for Employment Studies.
    18. Mohammad Ghaderi, 2020. "Public Health Interventions in the Face of Pandemics: Network Structure, Social Distancing, and Heterogeneity," Working Papers 1193, Barcelona School of Economics.
    19. Matteo Richiardi, 2006. "Toward a Non-Equilibrium Unemployment Theory," Computational Economics, Springer;Society for Computational Economics, vol. 28(4), pages 421-446, November.
    20. Ladley, Daniel & Wilkinson, Ian & Young, Louise, 2015. "The impact of individual versus group rewards on work group performance and cooperation: A computational social science approach," Journal of Business Research, Elsevier, vol. 68(11), pages 2412-2425.
    21. Juan Manuel Larrosa, 2016. "Agentes computacionales y análisis económico," Revista de Economía Institucional, Universidad Externado de Colombia - Facultad de Economía, vol. 18(34), pages 87-113, January-J.
    22. Ian McCarthy, 2008. "Simulating Sequential Search Models with Genetic Algorithms: Analysis of Price Ceilings, Taxes, Advertising and Welfare," CAEPR Working Papers 2008-010, Center for Applied Economics and Policy Research, Department of Economics, Indiana University Bloomington.
    23. Friederike Wall, 2016. "Agent-based modeling in managerial science: an illustrative survey and study," Review of Managerial Science, Springer, vol. 10(1), pages 135-193, January.
    24. José Manuel Galán & Luis R. Izquierdo & Segismundo S. Izquierdo & José Ignacio Santos & Ricardo del Olmo & Adolfo López-Paredes & Bruce Edmonds, 2009. "Errors and Artefacts in Agent-Based Modelling," Journal of Artificial Societies and Social Simulation, Journal of Artificial Societies and Social Simulation, vol. 12(1), pages 1-1.
    25. Ben-Alexander Cassell & Michael P. Wellman, 2012. "Asset pricing under ambiguous information: an empirical game-theoretic analysis," Computational and Mathematical Organization Theory, Springer, vol. 18(4), pages 445-462, December.
    26. 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.
    27. Jakob Grazzini & Matteo Richiardi, 2014. "Estimation of Ergodic Agent-Based Models by Simulated Minimum Distance," Economics Papers 2014-W07, Economics Group, Nuffield College, University of Oxford.
    28. Grazzini, Jakob & Richiardi, Matteo, 2013. "Consistent Estimation of Agent-Based Models by Simulated Minimum Distance," Department of Economics and Statistics Cognetti de Martiis. Working Papers 201335, University of Turin.
    29. Ghaderi, Mohammad, 2022. "Public health interventions in the face of pandemics: Network structure, social distancing, and heterogeneity," European Journal of Operational Research, Elsevier, vol. 298(3), pages 1016-1031.
    30. 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.
    31. Benjamin Patrick Evans & Sumitra Ganesh, 2024. "Learning and Calibrating Heterogeneous Bounded Rational Market Behaviour with Multi-Agent Reinforcement Learning," Papers 2402.00787, arXiv.org.
    32. Klaus Jaffé, 2017. "The “Invisible Hand” of Economic Markets Can Be Visualized through the Synergy Created by Division of Labor," Complexity, Hindawi, vol. 2017, pages 1-10, December.
    33. C Marijn Hazelbag & Jonathan Dushoff & Emanuel M Dominic & Zinhle E Mthombothi & Wim Delva, 2020. "Calibration of individual-based models to epidemiological data: A systematic review," PLOS Computational Biology, Public Library of Science, vol. 16(5), pages 1-17, May.
    34. Grazzini Jakob, 2011. "Estimating Micromotives from Macrobehavior," Department of Economics and Statistics Cognetti de Martiis. Working Papers 201111, University of Turin.
    35. 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_v1, Center for Open Science.
    36. Kersting, Stefan & Hüttel, Silke & Odening, Martin, 2015. "Structural change in agriculture under capacity constraints: An equilibrium approach," Thuenen-Series of Applied Economic Theory 140, University of Rostock, Institute of Economics.
    37. Richiardi, Matteo & Bronka, Patryk & van de Ven, Justin, 2023. "Back to the future: Agent-based modelling and dynamic microsimulation," Centre for Microsimulation and Policy Analysis Working Paper Series CEMPA8/23, Centre for Microsimulation and Policy Analysis at the Institute for Social and Economic Research.
    38. Ricardo González-López & Javier B. Gómez & Amalio F. Pacheco, 2020. "A Minimal Agent-Based Model For The Size-Frequency Distribution Of Firms," Advances in Complex Systems (ACS), World Scientific Publishing Co. Pte. Ltd., vol. 23(01), pages 1-27, March.
    39. Kersting, Stefan & Hüttel, Silke & Odening, Martin, 2016. "Industry dynamics under production constraints — The case of the EU dairy sector," Economic Modelling, Elsevier, vol. 55(C), pages 135-151.
    40. Chandra, Yanto & Wilkinson, Ian F., 2017. "Firm internationalization from a network-centric complex-systems perspective," Journal of World Business, Elsevier, vol. 52(5), pages 691-701.
    41. Cathérine Grisar & Matthias Meyer, 2015. "Use of Monte Carlo simulation: an empirical study of German, Austrian and Swiss controlling departments," Journal of Management Control: Zeitschrift für Planung und Unternehmenssteuerung, Springer, vol. 26(2), pages 249-273, August.
    42. Mohammad Ghaderi, 2020. "Public health interventions in the face of pandemics: network structure, social distancing, and heterogeneity," Economics Working Papers 1732, Department of Economics and Business, Universitat Pompeu Fabra.
    43. Heshmati, Almas & Lenz-Cesar, Flávio, 2013. "Determinants and Policy Simulation of Firms Cooperation in Innovation," IZA Discussion Papers 7487, Institute of Labor Economics (IZA).
    44. David C. Earnest & Ian F. Wilkinson, 2018. "An agent based model of the evolution of supplier networks," Computational and Mathematical Organization Theory, Springer, vol. 24(1), pages 112-144, March.
    45. Luis R. Izquierdo & Segismundo S. Izquierdo & José Manuel Galán & José Ignacio Santos, 2009. "Techniques to Understand Computer Simulations: Markov Chain Analysis," Journal of Artificial Societies and Social Simulation, Journal of Artificial Societies and Social Simulation, vol. 12(1), pages 1-6.
    46. Jakob Grazzini, 2012. "Analysis of the Emergent Properties: Stationarity and Ergodicity," Journal of Artificial Societies and Social Simulation, Journal of Artificial Societies and Social Simulation, vol. 15(2), pages 1-7.
    47. Schuster, Stephan, 2012. "Applications in Agent-Based Computational Economics," MPRA Paper 47201, University Library of Munich, Germany.

  27. Richiardi Matteo G, 2005. "On the Virtues of the Shame Lane," The B.E. Journal of Economic Analysis & Policy, De Gruyter, vol. 5(1), pages 1-25, May.

    Cited by:

    1. Delli Gatti,Domenico & Fagiolo,Giorgio & Gallegati,Mauro & Richiardi,Matteo & Russo,Alberto (ed.), 2018. "Agent-Based Models in Economics," Cambridge Books, Cambridge University Press, number 9781108400046, January.
    2. Cameron Hepburn, 2006. "Regulation by Prices, Quantities, or Both: A Review of Instrument Choice," Oxford Review of Economic Policy, Oxford University Press and Oxford Review of Economic Policy Limited, vol. 22(2), pages 226-247, Summer.

  28. Matteo Richiardi, 2004. "A Search Model Of Unemployment And Firm Dynamics," Advances in Complex Systems (ACS), World Scientific Publishing Co. Pte. Ltd., vol. 7(02), pages 203-221.
    See citations under working paper version above.
  29. Matteo Richiardi, 2004. "Generalizing Gibrat: Reasonable Multiplicative Models of Firm Dynamics," Journal of Artificial Societies and Social Simulation, Journal of Artificial Societies and Social Simulation, vol. 7(1), pages 1-2.
    See citations under working paper version above.

Chapters

  1. Matteo Richiardi, 2014. "The Missing Link: AB Models and Dynamic Microsimulation," Lecture Notes in Economics and Mathematical Systems, in: Stephan Leitner & Friederike Wall (ed.), Artificial Economics and Self Organization, edition 127, pages 3-15, Springer.

    Cited by:

    1. van de Ven, Justin, 2017. "SIDD: An adaptable framework for analysing the distributional implications of policy alternatives where savings and employment decisions matter," Economic Modelling, Elsevier, vol. 63(C), pages 161-174.
    2. Richiardi, Matteo & Bronka, Patryk & van de Ven, Justin, 2022. "Dynamic simulation of taxes and welfare benefits by database imputation," Centre for Microsimulation and Policy Analysis Working Paper Series CEMPA3/22, Centre for Microsimulation and Policy Analysis at the Institute for Social and Economic Research.
    3. Justin van de Ven, 2017. "Exploring the Importance of Incentive Responses for Policy Projections," International Journal of Microsimulation, International Microsimulation Association, vol. 10(3), pages 134-164.

  2. Jakob Grazzini & Matteo Richiardi & Lisa Sella, 2012. "Small sample bias in MSM estimation of agent-based models," Lecture Notes in Economics and Mathematical Systems, in: Andrea Teglio & Simone Alfarano & Eva Camacho-Cuena & Miguel Ginés-Vilar (ed.), Managing Market Complexity, edition 127, chapter 0, pages 237-247, Springer.

    Cited by:

    1. 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.
    2. Delli Gatti,Domenico & Fagiolo,Giorgio & Gallegati,Mauro & Richiardi,Matteo & Russo,Alberto (ed.), 2018. "Agent-Based Models in Economics," Cambridge Books, Cambridge University Press, number 9781108400046, January.

  3. Matteo Richiardi, 2004. "A Search Model Of Unemployment And Firm Dynamics," World Scientific Book Chapters, in: Roberto Leombruni & Matteo Richiardi (ed.), Industry And Labor Dynamics The Agent-Based Computational Economics Approach, chapter 7, pages 107-128, World Scientific Publishing Co. Pte. Ltd..
    See citations under working paper version above.

Books

  1. Delli Gatti,Domenico & Fagiolo,Giorgio & Gallegati,Mauro & Richiardi,Matteo & Russo,Alberto (ed.), 2018. "Agent-Based Models in Economics," Cambridge Books, Cambridge University Press, number 9781108400046, January.

    Cited by:

    1. Chen, Siyan & Desiderio, Saul, 2019. "Job duration and inequality," Economics Discussion Papers 2019-44, Kiel Institute for the World Economy (IfW Kiel).
    2. Cathal O'Donoghue & Gijs Dekkers, 2018. "Increasing the Impact of Dynamic Microsimulation Modelling," International Journal of Microsimulation, International Microsimulation Association, vol. 11(1), pages 61-96.
    3. Damdinsuren, Erdenebulgan & Zaharieva, Anna, 2018. "Expectation Formation and Learning in the Labour Market with On-the-Job Search and Nash Bargaining," Center for Mathematical Economics Working Papers 604, Center for Mathematical Economics, Bielefeld University.
    4. 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.
    5. Filippo Gusella & Anna Maria Variato, 2021. "Financial Instability and Income Inequality: why the connection Minsky-Piketty matters for Macroeconomics," Working Papers - Economics wp2021_15.rdf, Universita' degli Studi di Firenze, Dipartimento di Scienze per l'Economia e l'Impresa.
    6. Michael Paul Kramer & Linda Bitsch & Jon Hanf, 2021. "Blockchain and Its Impacts on Agri-Food Supply Chain Network Management," Sustainability, MDPI, vol. 13(4), pages 1-22, February.
    7. 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.
    8. Adão, Luiz F.S. & Silveira, Douglas & Ely, Regis A. & Cajueiro, Daniel O., 2022. "The impacts of interest rates on banks’ loan portfolio risk-taking," Journal of Economic Dynamics and Control, Elsevier, vol. 144(C).
    9. 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.
    10. Terranova, Roberta & Turco, Enrico M., 2022. "Concentration, stagnation and inequality: An agent-based approach," Journal of Economic Behavior & Organization, Elsevier, vol. 193(C), pages 569-595.
    11. Riccardo Pariboni & Pasquale Tridico, 2020. "Structural change, institutions and the dynamics of labor productivity in Europe," Journal of Evolutionary Economics, Springer, vol. 30(5), pages 1275-1300, November.

  2. Delli Gatti,Domenico & Fagiolo,Giorgio & Gallegati,Mauro & Richiardi,Matteo & Russo,Alberto (ed.), 2018. "Agent-Based Models in Economics," Cambridge Books, Cambridge University Press, number 9781108414999, January.

    Cited by:

    1. Chen, Siyan & Desiderio, Saul, 2019. "Job duration and inequality," Economics Discussion Papers 2019-44, Kiel Institute for the World Economy (IfW Kiel).
    2. Zaharieva, Anna & Neugart, Michael, 2020. "Social Networks, Promotions, and the Glass-Ceiling Effect," VfS Annual Conference 2020 (Virtual Conference): Gender Economics 224534, Verein für Socialpolitik / German Economic Association.
    3. Cathal O'Donoghue & Gijs Dekkers, 2018. "Increasing the Impact of Dynamic Microsimulation Modelling," International Journal of Microsimulation, International Microsimulation Association, vol. 11(1), pages 61-96.
    4. Damdinsuren, Erdenebulgan & Zaharieva, Anna, 2018. "Expectation Formation and Learning in the Labour Market with On-the-Job Search and Nash Bargaining," Center for Mathematical Economics Working Papers 604, Center for Mathematical Economics, Bielefeld University.
    5. Caner Ates & Dietmar Maringer, 2021. "A Parsimonious Macroeconomic ABM for Labor Market Regulations," LEM Papers Series 2021/46, Laboratory of Economics and Management (LEM), Sant'Anna School of Advanced Studies, Pisa, Italy.
    6. Rolf Aaberge & Ugo Colombino, 2018. "Structural Labour Supply Models and Microsimulation," International Journal of Microsimulation, International Microsimulation Association, vol. 11(1), pages 162-197.
    7. Filippo Gusella & Anna Maria Variato, 2021. "Financial Instability and Income Inequality: why the connection Minsky-Piketty matters for Macroeconomics," Working Papers - Economics wp2021_15.rdf, Universita' degli Studi di Firenze, Dipartimento di Scienze per l'Economia e l'Impresa.
    8. Michael Paul Kramer & Linda Bitsch & Jon Hanf, 2021. "Blockchain and Its Impacts on Agri-Food Supply Chain Network Management," Sustainability, MDPI, vol. 13(4), pages 1-22, February.
    9. 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.
    10. 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.
    11. Terranova, Roberta & Turco, Enrico M., 2022. "Concentration, stagnation and inequality: An agent-based approach," Journal of Economic Behavior & Organization, Elsevier, vol. 193(C), pages 569-595.
    12. Riccardo Pariboni & Pasquale Tridico, 2020. "Structural change, institutions and the dynamics of labor productivity in Europe," Journal of Evolutionary Economics, Springer, vol. 30(5), pages 1275-1300, November.

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