Arbeitspapier
Comparison Dimensions and Similarity: Addressing Individual Heterogeneity
How many comparison dimensions individuals consider when they are asked to judge how similar two different objects are? I address individual heterogeneity in the number of comparison dimensions with data from a laboratory experiment. I estimate the smallest number of dimensions such that objects may be represented in space where distance corresponds to similarity. I find that the mean smallest number of dimensions in real data is one standard deviation smaller than in randomly simulated data. Furthermore, I find that individuals who find the objects relatively similar to each other are also the ones who implicitly consider fewer dimensions.
- Sprache
-
Englisch
- Erschienen in
-
Series: IZA Discussion Papers ; No. 12355
- Klassifikation
-
Wirtschaft
Consumer Economics: Empirical Analysis
- Thema
-
multidimensional scaling
similarity
latent dimensions
dimensionality
- Ereignis
-
Geistige Schöpfung
- (wer)
-
Jelnov, Pavel
- Ereignis
-
Veröffentlichung
- (wer)
-
Institute of Labor Economics (IZA)
- (wo)
-
Bonn
- (wann)
-
2019
- Handle
- Letzte Aktualisierung
-
10.03.2025, 11:45 MEZ
Datenpartner
Dieses Objekt wird bereitgestellt von:
ZBW - Deutsche Zentralbibliothek für Wirtschaftswissenschaften - Leibniz-Informationszentrum Wirtschaft. Bei Fragen zum Objekt wenden Sie sich bitte an den Datenpartner.
ZBW - Deutsche Zentralbibliothek für Wirtschaftswissenschaften - Leibniz-Informationszentrum Wirtschaft. Bei Fragen zum Objekt wenden Sie sich bitte an den Datenpartner.
Objekttyp
- Arbeitspapier
Beteiligte
- Jelnov, Pavel
- Institute of Labor Economics (IZA)
Entstanden
- 2019
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