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MICSIM-4j - A General Microsimulation Model User Guide (Version 1.1)

Author

Listed:
  • Joachim Merz
  • Lars Rusch

    (LEUPHANA University Lüneburg,Department of Economic, Behaviour and Law Sciences, Research Institute on Professions (Forschungsinstitut Freie Berufe (FFB)))

Abstract

Microsimulation models allow targeted simulations to analyze the impacts of alternative policies, measures, scenarios based on microunits like persons, families, households, firms etc. Meanwhile it is out of question that microsimulation models are a helpful, successful and an imperative instrument for a wide range of policy analyses in the political administration, business area, private and university institutes and consulting groups in general. Though there is a multitude of microsimulation models nowadays developed and in use, however, in most cases they still need skilled handling and experience or another program system when applied. A general, generic stand-alone and platform independent microsimulation model which provides all necessary simulation tools under a common shield, and which is easy to use for non-expert scholars, is still required. The overall objective of this paper and of the new MICSIM-4J is to describe and offer such a userfriendly, non-technical and powerful general microsimulation model, to support impact microanalyses for applied research, teaching and consulting. Though the stand-alone MICSIM-4J as a general tool also allows dynamic model building, its focus is on static microsimulation with a powerful module for the adjustment of microdata.

Suggested Citation

  • Joachim Merz & Lars Rusch, 2015. "MICSIM-4j - A General Microsimulation Model User Guide (Version 1.1)," FFB-Discussionpaper 100, Research Institute on Professions (Forschungsinstitut Freie Berufe (FFB)), LEUPHANA University Lüneburg.
  • Handle: RePEc:leu:wpaper:100
    as

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    File URL: http://www.leuphana.de/fileadmin/user_upload/Forschungseinrichtungen/ffb/files/publikationen/diskussion/DP_100_-_MICSIM-4J.pdf
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    References listed on IDEAS

    as
    1. Merz, Joachim, 1994. "Microdata Adjustment by the Minimum Information Loss Principle," MPRA Paper 7231, University Library of Munich, Germany.
    2. Joachim Merz & Tim Rathjen, 2010. "Sind Selbständige zeit- und einkommensarm? Eine Mikroanalyse der Dynamik interdependenter multidimensionaler Armut mit dem Sozio-ökonomischen Panel und den deutschen Zeitbudgeterhebungen," FFB-Discussionpaper 82, Research Institute on Professions (Forschungsinstitut Freie Berufe (FFB)), LEUPHANA University Lüneburg.
    3. Merz, Joachim & Stolze, Henning, 2010. "Cumulation of Cross-Section Surveys: Evaluation of Alternative Concepts for the Cumulated Continuous Household Budget Surveys (LWR) 1999 until 2003 Compared to the Sample Survey of Income and Expendit," IZA Discussion Papers 5072, Institute of Labor Economics (IZA).
    4. Joachim Merz, 1992. "Time Use Dynamics in Paid Work and Household Activities of Married Women - A Panel Analysis with Household Information and Regional Labour Demand," FFB-Discussionpaper 02, Research Institute on Professions (Forschungsinstitut Freie Berufe (FFB)), LEUPHANA University Lüneburg.
    5. Eva Österbacka & Joachim Merz & Cathleen D. Zick, 2012. "Human capital investments in children –A comparative analysis of the role of parent-child shared time in selected countries," electronic International Journal of Time Use Research, Research Institute on Professions (Forschungsinstitut Freie Berufe (FFB)) and The International Association for Time Use Research (IATUR), vol. 9(1), pages 120-143, November.
    6. Merz, Joachim, 1991. "Microsimulation -- A survey of principles, developments and applications," International Journal of Forecasting, Elsevier, vol. 7(1), pages 77-104, May.
    7. Joachim Merz, 1993. "Statistik und Freie Berufe im Rahmen einer empirischen Wirtschafts- und Sozialforschung," FFB-Discussionpaper 04, Research Institute on Professions (Forschungsinstitut Freie Berufe (FFB)), LEUPHANA University Lüneburg.
    8. Bettina Scherg, 2014. "Multidimensional Polarization of Income and Wealth: The Extent and Intensity of Poverty and Affluence," FFB-Discussionpaper 98, Research Institute on Professions (Forschungsinstitut Freie Berufe (FFB)), LEUPHANA University Lüneburg.
    9. J.F. Volrad Deneke, 2007. "Freie Berufe-Herausforderungen an die Wissenschaft," FFB-Discussionpaper 71, Research Institute on Professions (Forschungsinstitut Freie Berufe (FFB)), LEUPHANA University Lüneburg.
    10. Joachim Merz, 1995. "MICSIM - Concept, Developments and Applications of a PC-Microsimulation Model for Research and Teaching," FFB-Discussionpaper 14, Research Institute on Professions (Forschungsinstitut Freie Berufe (FFB)), LEUPHANA University Lüneburg.
    11. Bettina Scherg, 2014. "Ist die Einkommenspolarisierung gestiegen? - Alternative Messkonzepte und ihre Ergebnisse für Selbständige und abhängig Beschäftigte in Deutschland," FFB-Discussionpaper 97, Research Institute on Professions (Forschungsinstitut Freie Berufe (FFB)), LEUPHANA University Lüneburg.
    12. Robert Tanton, 2014. "A Review of Spatial Microsimulation Methods," International Journal of Microsimulation, International Microsimulation Association, vol. 7(1), pages 4-25.
    13. Joachim Merz, 2015. "Sind Rentner zufriedener? Eine Panelanalyse von Antizipations- und Adaptionseffekten," FFB-Discussionpaper 99, Research Institute on Professions (Forschungsinstitut Freie Berufe (FFB)), LEUPHANA University Lüneburg.
    14. 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.
    15. Merz, Joachim, 1993. "Microsimulation as an Instrument to Evaluate Economic and Social Programmes," MPRA Paper 7236, University Library of Munich, Germany.
    16. 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.
    17. Joachim Merz & Henning Stolze, 2010. "Kumulation von Querschnitten - Evaluierung alternativer Konzepte für die kumulierten laufenden Wirtschaftsrechnungen 1999 bis 2003 im Vergleich zur Einkommens- und Verbrauchsstichprobe 2003," FFB-Discussionpaper 85, Research Institute on Professions (Forschungsinstitut Freie Berufe (FFB)), LEUPHANA University Lüneburg.
    18. 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.
    19. 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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    More about this item

    Keywords

    Stand-alone general microsimulation model; impact analysis of economic and social policies; simulation of microdata; static and dynamic aging; microdata adjustment; information theory;
    All these keywords.

    JEL classification:

    • C80 - Mathematical and Quantitative Methods - - Data Collection and Data Estimation Methodology; Computer Programs - - - General
    • C81 - Mathematical and Quantitative Methods - - Data Collection and Data Estimation Methodology; Computer Programs - - - Methodology for Collecting, Estimating, and Organizing Microeconomic Data; Data Access
    • D10 - Microeconomics - - Household Behavior - - - General
    • D30 - Microeconomics - - Distribution - - - General
    • D31 - Microeconomics - - Distribution - - - Personal Income and Wealth Distribution
    • J20 - Labor and Demographic Economics - - Demand and Supply of Labor - - - General

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