The New Palgrave Dictionary of Economics

2018 Edition
| Editors: Macmillan Publishers Ltd

Decision Theory in Econometrics

  • Keisuke Hirano
Reference work entry


The decision-theoretic approach to statistics and econometrics explicitly specifies a set of models under consideration, a set of actions that can be taken, and a loss function that quantifies the value to the decision-maker of applying a particular action when a particular model holds. Decision rules, or procedures, map data into actions, and can be ordered according to their Bayes, minmax, or minmax regret risks. Large sample approximations can be used to approximate complicated decision problems with simpler ones that are easier to solve. Some examples of applications of decision theory in econometrics are discussed.


Admissibility criterion Auction models Bayes risk Bayes rule Computational methods Decision rules Decision theory in econometrics Instrumental variables Local asymptotic normality (LAN) Markov chain Monte Carlo methods Maximum likelihood Minmax principle Minmax-regret principle Nonparametric density estimation Nonparametric models Nonparametric regression Point estimators Portfolio choice Savage, L. J. Search models Semiparametric models Statistical decision theory Time series models Treatment assignment White noise 

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© Macmillan Publishers Ltd. 2018

Authors and Affiliations

  • Keisuke Hirano
    • 1
  1. 1.