Artikel
Nonparametric identification of dynamic decision processes with discrete and continuous choices
This paper establishes conditions for nonparametric identification of dynamic optimization models in which agents make both discrete and continuous choices. We consider identification of both the payoff function and the distribution of unobservables. Models of this kind are prevalent in applied microeconomics and many of the required conditions are standard assumptions currently used in empirical work. We focus on conditions on the model that can be implied by economic theory and assumptions about the data generating process that are likely to be satisfied in a typical application. Our analysis is intended to highlight the identifying power of each assumption individually, where possible, and our proofs are constructive in nature.
- Sprache
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Englisch
- Erschienen in
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Journal: Quantitative Economics ; ISSN: 1759-7331 ; Volume: 5 ; Year: 2014 ; Issue: 3 ; Pages: 531-554 ; New Haven, CT: The Econometric Society
- Klassifikation
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Wirtschaft
- Thema
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Nonparametric identification
Markov decision processes
dynamic decision processes
discrete choice
continuous choice
- Ereignis
-
Geistige Schöpfung
- (wer)
-
Blevins, Jason R.
- Ereignis
-
Veröffentlichung
- (wer)
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The Econometric Society
- (wo)
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New Haven, CT
- (wann)
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2014
- DOI
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doi:10.3982/QE117
- Handle
- Letzte Aktualisierung
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10.03.2025, 11:43 MEZ
Datenpartner
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ZBW - Deutsche Zentralbibliothek für Wirtschaftswissenschaften - Leibniz-Informationszentrum Wirtschaft. Bei Fragen zum Objekt wenden Sie sich bitte an den Datenpartner.
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Objekttyp
- Artikel
Beteiligte
- Blevins, Jason R.
- The Econometric Society
Entstanden
- 2014
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