@TechReport{iza:izadps:dp12355,
            	author={Jelnov, Pavel},
            	title={Comparison Dimensions and Similarity: Addressing Individual Heterogeneity},
            	year={2019},
	month={May},
            	institution={Institute of Labor Economics (IZA)},
            	address={Bonn},
            	type={IZA Discussion Paper},
            	number={12355},
            	url={https://www.iza.org/index.php/publications/dp12355},
	abstract={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. },
	keywords={multidimensional scaling;similarity;latent dimensions;dimensionality},
            }