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Simulation Experiments and Significance Tests

  • Klaus G. TroitzschEmail author
Chapter
Part of the Lecture Notes in Economics and Mathematical Systems book series (LNE, volume 669)

Abstract

The paper uses two formal models of simple processes in artificial worlds—one with and one without an analytical solution—to discuss the role of statistical analysis and significance tests of results from multiple simulation runs. Moreover the paper argues that it is not the sheer existence of an effect of input parameters on simulation results but the effect size which is the interesting outcome of a simulation and that significance tests of differences in means are much less important than the distribution of output variables which are more often than not non-normal distributions.

Keywords

Unemployment Rate Minimum Wage Random Number Generator Approximate Analytical Solution Work Agent 
These keywords were added by machine and not by the authors. This process is experimental and the keywords may be updated as the learning algorithm improves.

References

  1. 1.
    Alker HR Jr (1974) Computer simulations: inelegant mathematics and worse social science? Int J Math Educ Sci Technol 5:139–155CrossRefGoogle Scholar
  2. 2.
    Balzer W, Moulines CU, Sneed JD (1987) An architectonic for science. The structuralist program. Volume 186 of synthese library. Reidel, DordrechtGoogle Scholar
  3. 3.
    Epstein JM, Axtell R (1996) Growing artificial societies – social science from the bottom up. MIT, Cambridge MAGoogle Scholar
  4. 4.
    Ihrig M, Troitzsch KG (2013) An extended research framework for the simulation era. In: Diaz R, Longo F (eds) 2013 Spring simulation multiconference on emerging M&S applications in industry and academia symposium and the modeling and humanities (EAIA and MathH 2013) (SpringSim ’13). Simulation Series, vol 45(5). Curran Associates, Red Hook, pp 99–106Google Scholar
  5. 5.
    Jazayeri P, Tohum MH (2012) Auswirkung der Einführung eines Mindestlohns auf den Arbeitsmarkt, anhand eines Simulationsmodells. http://kola.opus.hbz-nrw.de/volltexte/2012/759/
  6. 6.
    Ostrom T (1988) Computer simulation: the third symbol system. J Exp Soc Psychol 24:381–392CrossRefGoogle Scholar
  7. 7.
    Weidlich W, Haag G (1983) Concepts and models of a quantitative sociology. The dynamics of interacting populations. Springer series in synergetics, vol 14. Springer, BerlinGoogle Scholar
  8. 8.
    Ziliak ST, McCloskey DN (2007) The cult of statistical significance. The University of Michigan Press, Ann ArborGoogle Scholar

Copyright information

© Springer International Publishing Switzerland 2014

Authors and Affiliations

  1. 1.Institut für Wirtschafts- und VerwaltungsinformatikUniversität Koblenz-LandauKoblenzGermany

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