Pitfalls of a Minimax Approach to Model Uncertainty
By Christopher A. Sims. 2001
139 citations recorded by the source corpus.
Subfields: Economics and Econometrics, General Decision Sciences
View Paper: https://www.semanticscholar.org/paper/588494ab8b5f94e7ca3446781d5a4a5bca559896
How researchers see this paper
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In Economics and Econometrics
- Antony Millner
- Gary Chamberlain
- Geoffrey M. Heal
- Jörg Stoye
- Lars Peter Hansen
- Martin P. Weidner
- Iv'an Fern'andez-Val
- Robert S. Pindyck
In General Decision Sciences
- Gary Chamberlain
- Geoffrey M. Heal
- Antony Millner
- Jörg Stoye
- Lars Peter Hansen
- Massimo Marinacci
- J. Porter
- Keisuke Hirano
Citations in the corpus
- Decision Theory Applied to an Instrumental Variables Model (2007, background): “Sims (2001) discusses pitfalls in a minimax approach to model uncertainty, but does see a potential use for automatic procedures to generate priors and associated decision rules.”
- Reflections Uncertainty and Decision Making in Climate Change Economics (2014, background): “In fact, many economists interpret Ellsberg’s (1961) results as a contribution to behavioral economics, grouping it with other behavioral “mistakes” (e.g., Sims 2001).”
- Solution of macromodels with HansenSargent robust policies: some extensions (2002, unknown): “…and 4: the public fears more persistent effects of shocks and multiperiod interest rates overreact.21 Application: Publishing Central Bank Forecasts Sims (2001a) argues that a min-max approach to robustness is better suited to capture 21We obtained similar results on the behavior of long interest…”