Arbeitspapier
Robust Decision-Making under Risk and Ambiguity
Economists often estimate economic models on data and use the point estimates as a stand-in for the truth when studying the model's implications for optimal decision-making. This practice ignores model ambiguity, exposes the decision problem to misspecification, and ultimately leads to post-decision disappointment. Using statistical decision theory, we develop a framework to explore, evaluate, and optimize robust decision rules that explicitly account for estimation uncertainty. We show how to operationalize our analysis by studying robust decisions in a stochastic dynamic investment model in which a decision-maker directly accounts for uncertainty in the model's transition dynamics.
- Sprache
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Englisch
- Erschienen in
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Series: Discussion Paper ; No. 463
- Klassifikation
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Wirtschaft
Criteria for Decision-Making under Risk and Uncertainty
Operations Research; Statistical Decision Theory
Intertemporal Firm Choice: Investment, Capacity, and Financing
- Thema
-
decision-making under uncertainty
robust Markov decision process
- Ereignis
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Geistige Schöpfung
- (wer)
-
Blesch, Maximilian
Eisenhauer, Philipp
- Ereignis
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Veröffentlichung
- (wer)
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Ludwig-Maximilians-Universität München und Humboldt-Universität zu Berlin, Collaborative Research Center Transregio 190 - Rationality and Competition
- (wo)
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München und Berlin
- (wann)
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2023
- Handle
- Letzte Aktualisierung
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10.03.2025, 11:43 MEZ
Datenpartner
ZBW - Deutsche Zentralbibliothek für Wirtschaftswissenschaften - Leibniz-Informationszentrum Wirtschaft. Bei Fragen zum Objekt wenden Sie sich bitte an den Datenpartner.
Objekttyp
- Arbeitspapier
Beteiligte
- Blesch, Maximilian
- Eisenhauer, Philipp
- Ludwig-Maximilians-Universität München und Humboldt-Universität zu Berlin, Collaborative Research Center Transregio 190 - Rationality and Competition
Entstanden
- 2023