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Statistical Inference in Micro Simulation Models: Incorporationg External Information

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Author Info

  • Klevmarken, N.A.

Abstract

In practical applications of micro simulation models very little is usually known about the properties of the simulated values. This paper argues that we need to apply the same rigourous standards for inference in micro simulation work as in scientific worl generally. If not, then micro simulation models will loose in credibility.

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Bibliographic Info

Paper provided by Uppsala - Working Paper Series in its series Papers with number 1998:20.

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Length: 25 pages
Date of creation: 1998
Date of revision:
Handle: RePEc:fth:uppaal:1998:20

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Postal: UPPSALA UNIVERSITY, DEPARTMENT OF ECONOMICS, S-751 20 UPPSALA SWEDEN.
Phone: + 46 18 471 25 00
Fax: + 46 18 471 14 78
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Web page: http://www.nek.uu.se/
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Keywords: ECONOMIC MODELS ; SIMULATION;

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Cited by:
  1. 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.
  2. Pasquale Cirillo & Mauro Gallegati, 2012. "The Empirical Validation of an Agent-based Model," Eastern Economic Journal, Palgrave Macmillan, vol. 38(4), pages 525-547.
  3. Goedemé, Tim & Van den Bosch, Karel & Salanauskaite, Lina & Verbist, Gerlinde, 2013. "Testing the Statistical Significance of Microsimulation Results: Often Easier than You Think. A Technical Note," EUROMOD Working Papers em18/13, EUROMOD at the Institute for Social and Economic Research.
  4. John Creedy, 2003. "Survey Reweighting for Tax Microsimulation Modelling," Treasury Working Paper Series 03/17, New Zealand Treasury.
  5. Pasquale Cirillo & Carlo Bianchi & Mauro Gallegati & Pietro Vagliasindi, 2006. "Validating and Calibrating Agent-based Models: a Case Study," Computing in Economics and Finance 2006 277, Society for Computational Economics.
  6. Zamac, Jovan & Hallberg, Daniel & Lindh, Thomas, 2008. "Low fertility and long run growth in an economy with a large public sector," CAFO Working Papers 2009:5, Centre for Labour Market Policy Research (CAFO), School of Business and Economics, Linnaeus University.
  7. Eugenio Zucchelli & Andrew M Jones & Nigel Rice, 2012. "The evaluation of health policies through dynamic microsimulation methods," International Journal of Microsimulation, Interational Microsimulation Association, vol. 5(1), pages 2-20.

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