Bitte verwenden Sie diesen Link, um diese Publikation zu zitieren, oder auf sie als Internetquelle zu verweisen: https://hdl.handle.net/10419/195566 
Erscheinungsjahr: 
2018
Quellenangabe: 
[Journal:] Quantitative Economics [ISSN:] 1759-7331 [Volume:] 9 [Issue:] 1 [Publisher:] The Econometric Society [Place:] New Haven, CT [Year:] 2018 [Pages:] 183-216
Verlag: 
The Econometric Society, New Haven, CT
Zusammenfassung: 
Accounting for sample selection is a challenge not only for empirical researchers, but also for the agents populating our models. Yet most models abstract from these issues and assume that agents successfully tackle selection problems. We design an experiment where a person who understands selection observes all the data required to account for it. Subjects make choices under uncertainty and their choices reveal valuable information that is biased due to the presence of unobservables. We find that almost no subjects optimally account for endogenous selection. On the other hand, behavior is far from random, but actually quite amenable to analysis: Subjects follow simple heuristics that result in a partial accounting of selection and mitigate mistakes.
Schlagwörter: 
Contingent thinking
learning
sample selection
JEL: 
C91
D83
Persistent Identifier der Erstveröffentlichung: 
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Dokumentart: 
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