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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

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Bibliographic Info

Paper provided by University Library of Munich, Germany in its series MPRA Paper with number 7232.

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Date of creation: Jun 1994
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Handle: RePEc:pra:mprapa:7232

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Keywords: Microsimulation; Microanalytic Simulation Models; Microanalysis; Economic and Social Policy Analysis;

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Cited by:
  1. Joachim Merz, 1994. "Microdata Adjustment by the Minimum Information Loss Principle," FFB-Discussionpaper, Research Institute on Professions (Forschungsinstitut Freie Berufe (FFB)), LEUPHANA University Lüneburg 10, Research Institute on Professions (Forschungsinstitut Freie Berufe (FFB)), LEUPHANA University Lüneburg.
  2. Joachim Merz & Henning Stolze, 2005. "Representative Time Use Data and Calibration of the American Time Use Studies 1965-1999," FFB-Discussionpaper, Research Institute on Professions (Forschungsinstitut Freie Berufe (FFB)), LEUPHANA University Lüneburg 54, Research Institute on Professions (Forschungsinstitut Freie Berufe (FFB)), LEUPHANA University Lüneburg, revised Jan 2006.
  3. 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, Journal of Artificial Societies and Social Simulation, vol. 9(1), pages 15.
  4. 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.
  5. Mideros Mora, Andres & Gassmann, Franziska & Mohnen, Pierre, 2013. "Estimation of rates of return on social protection: Making the case for non-contributory social transfers in Cambodia," MERIT Working Papers 063, United Nations University - Maastricht Economic and Social Research Institute on Innovation and Technology (MERIT).
  6. Ulrich Widmaier & Hiltrud Niggemann & Joachim Merz, 1994. "What makes the Difference between Unsuccessful and Successful Firms in the German Mechanical Engineering Industry?," FFB-Discussionpaper, Research Institute on Professions (Forschungsinstitut Freie Berufe (FFB)), LEUPHANA University Lüneburg 11, Research Institute on Professions (Forschungsinstitut Freie Berufe (FFB)), LEUPHANA University Lüneburg.
  7. 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, Research Institute on Professions (Forschungsinstitut Freie Berufe (FFB)), LEUPHANA University Lüneburg 06, Research Institute on Professions (Forschungsinstitut Freie Berufe (FFB)), LEUPHANA University Lüneburg.
  8. Peichl, Andreas, 2005. "Die Evaluation von Steuerreformen durch Simulationsmodelle," FiFo Discussion Papers - Finanzwissenschaftliche Diskussionsbeiträge 05-1, University of Cologne, FiFo Institute for Public Economics.
  9. Clemens Fuest & Andreas Peichl & Thilo Schaefer, 2007. "Führt Steuervereinfachung zu einer „gerechteren” Einkommensverteilung? Eine empirische Analyse für Deutschland," Perspektiven der Wirtschaftspolitik, Verein für Socialpolitik, Verein für Socialpolitik, vol. 8(1), pages 20-37, 01.
  10. 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.
  11. 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.
  12. Joachim Merz & Paul Böhm & Derik Burgert, 2005. "Timing, Fragmentation of Work and Income Inequality - An Earnings Treatment Effects Approach," FFB-Discussionpaper, Research Institute on Professions (Forschungsinstitut Freie Berufe (FFB)), LEUPHANA University Lüneburg 48, Research Institute on Professions (Forschungsinstitut Freie Berufe (FFB)), LEUPHANA University Lüneburg.

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