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Microsimulation - A Survey of Methods and Applications for Analyzing Economic and Social Policy

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  • Merz, Joachim

Abstract

This essential dimensions of microsimulation as an instrument to analyze and forecast the individual impacts of alternative economic and social policy measures are surveyed in this study. The basic principles of microsimulation, which is a tool for practical policy advising as well as for research and teaching, are pointed out and the static and dynamic (cross-section and life-cycle) approaches are compared to one another. Present and past developments of microsimulation models and their areas of application are reviewed, focusing on the US, Europe and Australia. Based on general requirements and components of microsimulation models a microsimulation model's actual working mechanism are discussed by a concrete example: the concept and realization of MICSIM, a PC microsimulation model based on a relational database system, an offspring of the Sfb 3 Statitic Microsimulation Model. Common issues of microsimulation modeling are regarded: micro/macro link, behavioural response and the important question of evaluating microsimulation results. The concluding remarks accentuate the increasing use of microcomputers for microsimulation models also for teaching purposes

Suggested Citation

  • Merz, Joachim, 1994. "Microsimulation - A Survey of Methods and Applications for Analyzing Economic and Social Policy," MPRA Paper 7232, University Library of Munich, Germany.
    • Handle: RePEc:pra:mprapa:7232
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    Cited by:

    1. Merz, Joachim & Böhm, Paul & Burgert, Derik, 2005. "Timing, Fragmentation of Work and Income Inequality - An Earnings Treatment Effects Approach," MPRA Paper 5972, University Library of Munich, Germany.
    2. C. A. de Kam & J. de Haan & C. Giles & A. Manresa & E. Berenguer & S. Calonge & J. Merz, 1996. "Who pays the taxes?," FFB-Discussionpaper 18, Research Institute on Professions (Forschungsinstitut Freie Berufe (FFB)), LEUPHANA University Lüneburg.
      • de Kam, C. A. & de Haan, J. & Giles, C. & Manresa, A. & Berenguer, E. & Calonge, S., 1996. "Who pays the taxes?," MPRA Paper 7146, University Library of Munich, Germany.
    3. Joachim Merz & Henning Stolze, 2005. "Representative Time Use Data and Calibration of the American Time Use Studies 1965-1999," FFB-Discussionpaper 54, Research Institute on Professions (Forschungsinstitut Freie Berufe (FFB)), LEUPHANA University Lüneburg, revised Jan 2006.
    4. Merz, Joachim & Lang, Rainer, 1997. "Preferred vs. Actual Working Hours - A Ten Years Paneleconometric Analysis for Professions, Entrepreneurs and Employees in Germany," MPRA Paper 7142, University Library of Munich, Germany.
    5. Peichl, Andreas, 2005. "Die Evaluation von Steuerreformen durch Simulationsmodelle," FiFo Discussion Papers - Finanzwissenschaftliche Diskussionsbeiträge 05-1, University of Cologne, FiFo Institute for Public Economics.
    6. Clemens Fuest & Andreas Peichl & Thilo Schaefer, 2007. "Führt Steuervereinfachung zu einer „gerechteren” Einkommensverteilung? Eine empirische Analyse für Deutschland," Perspektiven der Wirtschaftspolitik, Verein für Socialpolitik, vol. 8(1), pages 20-37, January.
    7. Ulrich Widmaier & Hiltrud Niggemann & Joachim Merz, 1994. "What makes the Difference between Unsuccessful and Successful Firms in the German Mechanical Engineering Industry?," FFB-Discussionpaper 11, Research Institute on Professions (Forschungsinstitut Freie Berufe (FFB)), LEUPHANA University Lüneburg.
    8. Merz, Joachim, 1994. "Microdata Adjustment by the Minimum Information Loss Principle," MPRA Paper 7231, University Library of Munich, Germany.
    9. Joachim Merz, 1993. "Market and Non-market Labor Supply and Recent German Tax Reform Impacts - Behavioral Response in a Combined Dynamic and Static Microsimulation Model," FFB-Discussionpaper 06, Research Institute on Professions (Forschungsinstitut Freie Berufe (FFB)), LEUPHANA University Lüneburg.
    10. Tilmann Rave & Ursula Triebswetter, 2006. "Economic impacts of environmental regulations," ifo Forschungsberichte, ifo Institute - Leibniz Institute for Economic Research at the University of Munich, number 30, September.
    11. Merz, Joachim, 1995. "MICSIM : Concept, Developments and Applications of a PC-Microsimulation Model for Research and Teaching," MPRA Paper 16029, University Library of Munich, Germany.
    12. Franziska Gassmann & Cecile Cherrier & Andrés Mideros Mora & Pierre Mohnen, 2013. "Making the Investment Case for Social Protection: Methodological challenges with lessons learnt from a recent study in Cambodia," Papers inwopa694, Innocenti Working Papers.
    13. 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.
    14. Mideros A. & Gassmann F. & Mohnen P., 2013. "Estimation of rates of return of social protection instruments. Making the case for non-contributory social transfers in Cambodia," MERIT Working Papers 2013-063, United Nations University - Maastricht Economic and Social Research Institute on Innovation and Technology (MERIT).
    15. Dekkers, gijs, 1999. "The future development of living standards of the retirees in Belgium. [:] an application of the static microsimulation model station," MPRA Paper 36005, University Library of Munich, Germany.
    16. Konopczak, Karolina & Skibicki, Jakub, 2012. "Mikrosymulacyjny model podatkowo-zasiłkowy Ministerstwa Finansów – dokumentacja," MF Working Papers 33, Ministry of Finance in Poland.
    17. Blagica Petreski & Pavle Gacov, 2018. "Sustainability of the pension system in Macedonia: A comprehensive analysis and reform proposal with MK-PENS – dynamic microsimulation model," Finance Think Policy Studies 2018-02/14, Finance Think - Economic Research and Policy Institute.

    More about this item

    Keywords

    Microsimulation; Microanalytic Simulation Models; Microanalysis; Economic and Social Policy Analysis;
    All these keywords.

    JEL classification:

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

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