Simplicity, Inference and Modelling

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.