Bitte verwenden Sie diesen Link, um diese Publikation zu zitieren, oder auf sie als Internetquelle zu verweisen: https://hdl.handle.net/10419/202701 
Autor:innen: 
Erscheinungsjahr: 
2019
Schriftenreihe/Nr.: 
IZA Discussion Papers No. 12355
Verlag: 
Institute of Labor Economics (IZA), Bonn
Zusammenfassung: 
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.
Schlagwörter: 
multidimensional scaling
similarity
latent dimensions
dimensionality
JEL: 
D12
Dokumentart: 
Working Paper

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