Increasing the Impact of Dynamic Microsimulation Modelling
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- Andrés Mideros & Franziska Gassmann & Pierre Mohnen, 2016. "Estimation of rates of return on social protection: ex ante microsimulation of social transfers in Cambodia," Journal of Development Effectiveness, Taylor & Francis Journals, vol. 8(1), pages 67-86, March.
- Elisa Palagi & Mauro Napoletano & Andrea Roventini & Jean-Luc Gaffard, 2017.
"Inequality, Redistributive Policies and Multiplier Dynamics in an Agent-based Model with Credit Rationing,"
Italian Economic Journal: A Continuation of Rivista Italiana degli Economisti and Giornale degli Economisti, Springer;Società Italiana degli Economisti (Italian Economic Association), vol. 3(3), pages 367-387, November.
- Elisa Palagi & Mauro Napoletano & Andrea Roventini & Jean-Luc Gaffard, 2017. "Inequality, Redistributive Policies and Multiplier Dynamics in an Agent-based Model with Credit Rationing," SciencePo Working papers Main hal-03455401, HAL.
- Elisa Palagi & Mauro Napoletano & Andrea Roventini & Jean-Luc Gaffard, 2017. "Inequality, Redistributive Policies and Multiplier Dynamics in an Agent-Based Model with Credit Rationing," LEM Papers Series 2017/05, Laboratory of Economics and Management (LEM), Sant'Anna School of Advanced Studies, Pisa, Italy.
- Elisa Palagi & Mauro Napoletano & Andrea Roventini & Jean-Luc Gaffard, 2017. "Inequality, Redistributive Policies and multipliers dynamics in an agent based model with Credit rationing," Documents de Travail de l'OFCE 2017-06, Observatoire Francais des Conjonctures Economiques (OFCE).
- Elisa Palagi & Mauro Napoletano & Andrea Roventini & Jean-Luc Gaffard, 2017. "Inequality, Redistributive Policies and Multiplier Dynamics in an Agent-Based Model with Credit Rationing," GREDEG Working Papers 2017-39, Groupe de REcherche en Droit, Economie, Gestion (GREDEG CNRS), Université Côte d'Azur, France.
- Elisa Palagi & Mauro Napoletano & Andrea Roventini & Jean-Luc Gaffard, 2017. "Inequality, redistributive policies and multiplierdynamics in an agent-based model with credit rationing," Working Papers hal-03458967, HAL.
- Elisa Palagi & Mauro Napoletano & Andrea Roventini & Jean-Luc Gaffard, 2017. "Inequality, Redistributive Policies and Multiplier Dynamics in an Agent-based Model with Credit Rationing," Post-Print hal-03455401, HAL.
- Elisa Palagi & Mauro Napoletano & Andrea Roventini & Jean-Luc Gaffard, 2017. "Inequality, redistributive policies and multiplierdynamics in an agent-based model with credit rationing," SciencePo Working papers Main hal-03458967, HAL.
- 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.
- Matteo Richiardi & Ross E Richardson, 2016. "JAS-mine: A new platform for microsimulation and agent-based modelling," Economics Papers 2016-W04, Economics Group, Nuffield College, University of Oxford.
- 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.
- Gijs Dekkers, 2015. "The simulation properties of microsimulation models with static and dynamic ageing a brief guide into choosing one type of model over the other," International Journal of Microsimulation, International Microsimulation Association, vol. 8(1), pages 97-109.
- Simone Tedeschi & Elena Pisano & Carlo Mazzaferro & Marcello Morciano, 2013.
"Modelling Private Wealth Accumulation and Spend-down in the Italian Microsimulation Model CAPP_DYN: A Life-Cycle Approach,"
International Journal of Microsimulation, International Microsimulation Association, vol. 6(2), pages 76-122.
- Carlo Mazzaferro & Marcello Morciano & Elena Pisano & Simone Tedeschi, 2010. "Modelling Private Wealth Accumulation and Spend-down in the Italian Microsimulation Model CAPP_DYN: A Life-Cycle Approach," Center for the Analysis of Public Policies (CAPP) 0073, Universita di Modena e Reggio Emilia, Dipartimento di Economia "Marco Biagi", revised Nov 2010.
- Nicholas-James Clavet & Jean-Yves Duclos & Bernard Fortin & Steeve Marchand, 2015.
"Reforming Old Age Security: Effects and Alternatives,"
Canadian Tax Journal, Canadian Tax Foundation, vol. 63(2), pages 357-373.
- Nicholas-James Clavet & Jean-Yves Duclos & Bernard Fortin & Steeve Marchand, 2014. "Reforming Old Age Security: Effects and Alternatives," Cahiers de recherche 1410, Chaire de recherche Industrielle Alliance sur les enjeux économiques des changements démographiques.
- Nicholas-James Clavet & Jean-Yves Duclos & Bernard Fortin & Steeve Marchand, 2015. "Reforming Old Age Security: Effects And Alternatives," CIRANO Papers 2015n-04a, CIRANO.
- Nicholas-James Clavet & Jean-Yves Duclos & Bernard Fortin & Steeve Marchand, 2015. "Reforming Old Age Security: Effects and Alternatives," CIRANO Working Papers 2015s-11, CIRANO.
- Deborah Schofield & Rupendra Shrestha & Simon Kelly & Lennert Veerman & Robert Tanton & Megan Passey & Theo Vos & Michelle Cunich & Emily Callander, 2014. "Health&WealthMOD2030: A Microsimulation Model of the Long Term Economic Impacts of Disease Leading to Premature Retirements of Australians Aged 45-64 Years Old," International Journal of Microsimulation, International Microsimulation Association, vol. 7(2), pages 94-118.
- Paul Davidsson, 2002. "Agent Based Social Simulation: a Computer Science View," Journal of Artificial Societies and Social Simulation, Journal of Artificial Societies and Social Simulation, vol. 5(1), pages 1-7.
- 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, September.
- Nicholas Geard & James M McCaw & Alan Dorin & Kevin B Korb & Jodie McVernon, 2013. "Synthetic Population Dynamics: A Model of Household Demography," Journal of Artificial Societies and Social Simulation, Journal of Artificial Societies and Social Simulation, vol. 16(1), pages 1-8.
- Solveig Christiansen & Nico Keilman, 2013. "Probabilistic household forecasts based on register data- the case of Denmark and Finland," Demographic Research, Max Planck Institute for Demographic Research, Rostock, Germany, vol. 28(43), pages 1263-1302.
- Justin van de Ven, 2017. "Exploring the Importance of Incentive Responses for Policy Projections; APPENDIX," International Journal of Microsimulation, International Microsimulation Association, vol. 10(3), pages 165-183.
- Marko Petrovic & Bulent Ozel & Andrea Teglio & Marco Raberto & Silvano Cincotti, 2017. "Eurace Open: An agent-based multi-country model," Working Papers 2017/09, Economics Department, Universitat Jaume I, Castellón (Spain).
- Higgins, Tim & Sinning, Mathias, 2013.
"Modeling income dynamics for public policy design: An application to income contingent student loans,"
Economics of Education Review, Elsevier, vol. 37(C), pages 273-285.
- Higgins, Tim & Sinning, Mathias, 2013. "Modeling Income Dynamics for Public Policy Design: An Application to Income Contingent Student Loans," IZA Discussion Papers 7556, Institute of Labor Economics (IZA).
- Gijs Dekkers & Asghar Zaidi, 2011. "Note - The European Network for Dynamic Microsimulation (EURODYM) A vision and the state of affairs," International Journal of Microsimulation, International Microsimulation Association, vol. 4(1), pages 100-105.
- 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.
- Justin van de Ven, 2016. "LINDA: A dynamic microsimulation model for analysing policy effects on the evolving population cross-section," National Institute of Economic and Social Research (NIESR) Discussion Papers 459, National Institute of Economic and Social Research.
- Frans Willekens & Hein Putter, 2014. "Software for multistate analysis," Demographic Research, Max Planck Institute for Demographic Research, Rostock, Germany, vol. 31(14), pages 381-420.
- Cathal O'Donoghue & Dimitris Ballas & Graham Clarke & Stephen Hynes & Karyn Morrissey (ed.), 2013. "Spatial Microsimulation for Rural Policy Analysis," Advances in Spatial Science, Springer, edition 127, number 978-3-642-30026-4.
- Gijs Dekkers & Richard Cumpston, 2012. "On weights in dynamic-ageing microsimulation models," International Journal of Microsimulation, International Microsimulation Association, vol. 5(2), pages 59-65.
- Lay-Yee, Roy & Milne, Barry & Davis, Peter & Pearson, Janet & McLay, Jessica, 2015. "Determinants and disparities: A simulation approach to the case of child health care," Social Science & Medicine, Elsevier, vol. 128(C), pages 202-211.
- repec:hal:spmain:info:hdl:2441/6u2usmuctn9r3rgj50gbomltva is not listed on IDEAS
- Eveline S. Leeuwen, 2010. "Microsimulation of Rural Households," Contributions to Economics, in: Urban-Rural Interactions, chapter 0, pages 115-135, Springer.
- Roy Lay-Yee & Gerry Cotterell, 2015. "The Role of Microsimulation in the Development of Public Policy," Public Administration and Information Technology, in: Marijn Janssen & Maria A. Wimmer & Ameneh Deljoo (ed.), Policy Practice and Digital Science, edition 127, chapter 14, pages 305-320, Springer.
- Nora Eisemann & Annika Waldmann & Claus Garbe & Alexander Katalinic, 2015. "Development of a Microsimulation of Melanoma Mortality for Evaluating the Effectiveness of Population-Based Skin Cancer Screening," Medical Decision Making, , vol. 35(2), pages 243-254, February.
- repec:ijm:journl:v109:y:2017:i:1:p:106-134 is not listed on IDEAS
- Amy Rehder Harris & John Sabelhaus & Almudena Sevilla-Sanz, 2005. "Behavioral Effects of Social Security Reform in a Dynamic Micro-Simulation with Life-Cycle Agents: Working Paper 2005-06," Working Papers 16494, Congressional Budget Office.
- Courtioux, Pierre & Gregoir, Stéphane & Houeto, Dede, 2014. "Modelling the distribution of returns on higher education: A microsimulation approach," Economic Modelling, Elsevier, vol. 38(C), pages 328-340.
- John Creedy & Guyonne Kalb & Hsein Kew, 2007.
"Confidence Intervals For Policy Reforms In Behavioural Tax Microsimulation Modelling,"
Bulletin of Economic Research, Wiley Blackwell, vol. 59(1), pages 37-65, January.
- John Creedy & Guyonne Kalb & Hsein Kew, 2004. "Confidence Intervals for Policy Reforms in Behavioural Tax Microsimulation Modelling," Melbourne Institute Working Paper Series wp2004n32, Melbourne Institute of Applied Economic and Social Research, The University of Melbourne.
- John Creedy & Guyonne Kalb & Hsein Kew, 2005. "Confidence Intervals for Policy Reforms in Behavioural Tax Microsimulation Modelling," Department of Economics - Working Papers Series 936, The University of Melbourne.
- Niels Erik Kaaber Rasmussen & Marianne Frank Hansen & Peter Stephensen, 2013. "Conditional inference trees in dynamic microsimulation - modelling transition probabilities in the SMILE model," DREAM Working Paper Series 201302, Danish Rational Economic Agents Model, DREAM.
- Melnikov, Nikolai B. & O’Neill, Brian C. & Dalton, Michael G. & van Ruijven, Bas J., 2017. "Downscaling heterogeneous household outcomes in dynamic CGE models for energy-economic analysis," Energy Economics, Elsevier, vol. 65(C), pages 87-97.
- Lovelace, Robin & Ballas, Dimitris & Watson, Matt, 2014. "A spatial microsimulation approach for the analysis of commuter patterns: from individual to regional levels," Journal of Transport Geography, Elsevier, vol. 34(C), pages 282-296.
- Lyndon Walker & Peter Davis, 2013. "Modelling "Marriage Markets": A Population-Scale Implementation and Parameter Test," Journal of Artificial Societies and Social Simulation, Journal of Artificial Societies and Social Simulation, vol. 16(1), pages 1-6.
- Susan M. Rogers & James Rineer & Matthew D. Scruggs & William D. Wheaton & Phillip C. Cooley & Douglas J. Roberts & Diane K. Wagener, 2014. "A Geospatial Dynamic Microsimulation Model for Household Population Projections," International Journal of Microsimulation, International Microsimulation Association, vol. 7(2), pages 119-146.
- Jakub Bijak & Jason D. Hilton & Eric Silverman & Viet Dung Cao, 2013. "Reforging the Wedding Ring," Demographic Research, Max Planck Institute for Demographic Research, Rostock, Germany, vol. 29(27), pages 729-766.
- Carolyn M. Rutter & Alan M. Zaslavsky & Eric J. Feuer, 2011. "Dynamic Microsimulation Models for Health Outcomes," Medical Decision Making, , vol. 31(1), pages 10-18, January.
- Stock, James H & Wise, David A, 1990.
"Pensions, the Option Value of Work, and Retirement,"
Econometrica, Econometric Society, vol. 58(5), pages 1151-1180, September.
- James H. Stock & David A. Wise, 1988. "Pensions, The Option Value of Work, and Retirement," NBER Working Papers 2686, National Bureau of Economic Research, Inc.
- Jonas Zangenberg Hansen & Peter Stephensen, 2013. "Modeling Household Formation and Housing Demand in Denmark using the Dynamic Microsimulation Model SMILE," DREAM Working Paper Series 201304, Danish Rational Economic Agents Model, DREAM.
- Cathal O'Donoghue & Jason Loughrey, 2014. "Nowcasting in Microsimulation Models: A Methodological Survey," Journal of Artificial Societies and Social Simulation, Journal of Artificial Societies and Social Simulation, vol. 17(4), pages 1-12.
- 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.
- 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, September.
- repec:hal:spmain:info:hdl:2441/3tvjqhncd09rqbcrqaen7hlmlg is not listed on IDEAS
- Martin Spielauer, 2006. "The "LifeCourse" model, a competing risk cohort microsimulation model: source code and basic concepts of the generic microsimulation programming language Modgen," MPIDR Working Papers WP-2006-046, Max Planck Institute for Demographic Research, Rostock, Germany.
- Pei-jun Ye & Xiao Wang & Cheng Chen & Yue-tong Lin & Fei-Yue Wang, 2016. "Hybrid Agent Modeling in Population Simulation: Current Approaches and Future Directions," Journal of Artificial Societies and Social Simulation, Journal of Artificial Societies and Social Simulation, vol. 19(1), pages 1-12.
- Alessandra Caretta & Sara Flisi & Cecilia Frale & Michele Raitano & Simone Tedeschi, 2013. "T-DYMM : the treasury dynamic microsimulation model of the Italian pension system," Working Papers 11, Department of the Treasury, Ministry of the Economy and of Finance.
- Paul Lambert & Mark Birkin, 2013. "Occupation, Education and Social Inequalities: A Case Study Linking Survey Data Sources to an Urban Microsimulation Analysis," Advances in Spatial Science, in: Francesca Pagliara & Michiel de Bok & David Simmonds & Alan Wilson (ed.), Employment Location in Cities and Regions, edition 127, chapter 0, pages 203-222, Springer.
- Peter Stephensen, 2013. "The Danish Microsimulation Model SMILE – An overview," DREAM Working Paper Series 201305, Danish Rational Economic Agents Model, DREAM.
- Agnieszka M. Werpachowska & Roman Werpachowski, 2017. "Microsimulations of Demographic Changes in England and Wales Under Different EU Referendum Scenarios," International Journal of Microsimulation, International Microsimulation Association, vol. 10(2), pages 103-117.
- Gaëtan de Menten & Gijs Dekkers & Geert Bryon & Philippe Liégeois & Cathal O'Donoghue, 2014. "LIAM2: a New Open Source Development Tool for Discrete-Time Dynamic Microsimulation Models," Journal of Artificial Societies and Social Simulation, Journal of Artificial Societies and Social Simulation, vol. 17(3), pages 1-9.
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Cited by:
- 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.
- 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.
- Burgard Jan Pablo & Dieckmann Hanna & Krause Joscha & Merkle Hariolf & Münnich Ralf & Neufang Kristina M. & Schmaus Simon, 2020. "A generic business process model for conducting microsimulation studies," Statistics in Transition New Series, Statistics Poland, vol. 21(4), pages 191-211, August.
- 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.
- Jan Pablo Burgard & Hanna Dieckmann & Joscha Krause & Hariolf Merkle & Ralf Münnich & Kristina M. Neufang & Simon Schmaus, 2020. "A generic business process model for conducting microsimulation studies," Statistics in Transition New Series, Polish Statistical Association, vol. 21(4), pages 191-211, August.
- 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.
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More about this item
Keywords
MICROSIMULATION MODELLING; KNOWLEDGE TRANSFER;JEL classification:
- C53 - Mathematical and Quantitative Methods - - Econometric Modeling - - - Forecasting and Prediction Models; Simulation Methods
- C63 - Mathematical and Quantitative Methods - - Mathematical Methods; Programming Models; Mathematical and Simulation Modeling - - - Computational Techniques
- D04 - Microeconomics - - General - - - Microeconomic Policy: Formulation; Implementation; Evaluation
- I32 - Health, Education, and Welfare - - Welfare, Well-Being, and Poverty - - - Measurement and Analysis of Poverty
- H55 - Public Economics - - National Government Expenditures and Related Policies - - - Social Security and Public Pensions
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