Quantifying subjective uncertainty in survey expectations

Several recent surveys ask for a person's subjective probabilities that the in- ation rate falls into various outcome ranges. We provide a new measure of the uncertainty implicit in such probabilities. The measure has several advantages over existing methods: It is trivial to implement, require...

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Bibliographische Detailangaben
Hauptverfasser: Krüger, Fabian (VerfasserIn) , Pavlova, Lora (VerfasserIn)
Dokumenttyp: Book/Monograph Arbeitspapier
Sprache:Englisch
Veröffentlicht: Heidelberg Universitätsbibliothek Heidelberg 2019
Schriftenreihe:Discussion paper series / University of Heidelberg, Department of Economics no. 664
In: Discussion paper series (no. 664)

DOI:10.11588/heidok.00026507
Schlagworte:
Online-Zugang:Verlag, kostenfrei, Volltext: https://nbn-resolving.de/urn:nbn:de:bsz:16-heidok-265072
Resolving-System, kostenfrei, Volltext: http://dx.doi.org/10.11588/heidok.00026507
Verlag, kostenfrei, Volltext: http://www.ub.uni-heidelberg.de/archiv/26507
Resolving-System, kostenfrei: http://hdl.handle.net/10419/207640
Volltext
Verfasserangaben:Fabian Krüger and Lora Pavlova, Heidelberg University
Beschreibung
Zusammenfassung:Several recent surveys ask for a person's subjective probabilities that the in- ation rate falls into various outcome ranges. We provide a new measure of the uncertainty implicit in such probabilities. The measure has several advantages over existing methods: It is trivial to implement, requires no functional form assumptions, and is well-defined for all logically possible probabilities. From a theoretical viewpoint, the measure can be motivated as the entropy function of a strictly proper scoring rule. We demonstrate the measure's good performance in a simulation study based on empirical data from the Survey of Consumer Expectations.
Beschreibung:Online Resource
DOI:10.11588/heidok.00026507