The New Palgrave Dictionary of Economics

2018 Edition
| Editors: Macmillan Publishers Ltd

Model Uncertainty

  • Alexei Onatski
Reference work entry


Model uncertainty is a condition of analysis when the specification of the model of analysed process is open to doubt. A failure to account for model uncertainty may result in poor decisions. This article reviews various approaches to representing model uncertainty. The approaches depend on the research context, differ in their degree of generality, and may be classified as deterministic versus stochastic, Bayesian versus frequentist, and treating model uncertainty as static versus viewing model uncertainty as evolving over time.


Ambiguity aversion Approximating model Axioms of choice Bayesian statistics Bootstrap Detection error probability Dynamic stochastic general equilibrium models Ellsberg paradox ε-contaminated priors Heterogeneity uncertainty Identification scheme Identified vector autoregressions Incommensurability Incomplete information Judgement Laplace transform Learning Linear quadratic Gaussian problem Markov processes Model averaging Model expansion Model uncertainty Model uncertainty set Models Monetary policy Overconfidence Probability Rational expectations Relative entropy Risk-sensitive control Specification uncertainty Theory uncertainty Uncertainty Vector autoregressions 

JEL Classifications

C10 C50 D81 E52 O40 
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Copyright information

© Macmillan Publishers Ltd. 2018

Authors and Affiliations

  • Alexei Onatski
    • 1
  1. 1.