Simplicity, inference and modelling : keeping it sophisticatedly simple

Bibliographic Information

Simplicity, inference and modelling : keeping it sophisticatedly simple

edited by Arnold Zellner, Hugo A. Keuzenkamp and Michael McAleer

Cambridge University Press, 2001

  • : hbk

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Description and Table of Contents

Description

The idea that simplicity matters in science is as old as science itself, with the much cited example of Ockham's Razor, 'entia non sunt multiplicanda praeter necessitatem': entities are not to be multiplied beyond necessity. A problem with Ockham's razor is that nearly everybody seems to accept it, but few are able to define its exact meaning and to make it operational in a non-arbitrary way. Using a multidisciplinary perspective including philosophers, mathematicians, econometricians and economists, this 2002 monograph examines simplicity by asking six questions: what is meant by simplicity? How is simplicity measured? Is there an optimum trade-off between simplicity and goodness-of-fit? What is the relation between simplicity and empirical modelling? What is the relation between simplicity and prediction? What is the connection between simplicity and convenience? The book concludes with reflections on simplicity by Nobel Laureates in Economics.

Table of Contents

  • 1. The importance of simplicity in theory and practice A. Zellner, H. A. Keuzenkamp and M. McAleer
  • 2. What is the problem of simplicity? E. Sober
  • 3 Science seeks parsimony - not simplicity searching for pattern in phenomena H. Simon
  • 4. A macroeconomic approach to complexity M. Boumans
  • 5. The new science of simplicity M. R. Forster
  • 6. What explains complexity? B. Hamminga
  • 7. Occam's bonus A. W. F. Edwards
  • 8. Simplicity, information, Kolmogorov complexity, and prediction P. Vitanyi and M. Li
  • 9. Simplicity and statistical inference J. Rissanen
  • 10. Rissanen's theorem and econometric series W. Ploberger and P. C. B. Phillips
  • 11. Parametric versus non-parametric inference: satistical models and simplicity
  • 12. The role of simplicity in an econometric model selection process A. Aznar, M. Isable Ayuda and C. Garcia-Olaverri
  • 13. Simplicity in a behavioural, non-parametric context D. Tempelaar
  • 14. Keep it sophisticatedly simple A. Zellner
  • 15. Communication, complexity and coordination in games M. Ganslandt
  • 16. The simplicity of an earnings frontier U. Jensen
  • 17. Simplicity - views of the Nobel Laureates in economic science H. A. Keuzenkamp and M. McAleer.

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Details

  • NCID
    BA56562483
  • ISBN
    • 0521803616
  • Country Code
    uk
  • Title Language Code
    eng
  • Text Language Code
    eng
  • Place of Publication
    Cambridge
  • Pages/Volumes
    ix, 302 p.
  • Size
    24 cm
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