Job market candidate
Tel. +34 93 542 2696
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Available for Interviews at :
Simposio de la Asociación Española de Economía (SAEe), December 14-16, Barcelona, Spain
Allied Social Science Associations (ASSA), January 5-7, Philadelphia, US
Judgment and Decision Making, Behavioral Economics, Organizational Behavior.
"An Information Sampling Explanation for the In-Group Heterogeneity Effect." with G. Le Mens (Job Market Paper)
People often perceive their in-groups as more heterogeneous than their out-groups. We propose an information sampling explanation for this in-group heterogeneity effect. We analyze a model in which an agent forms beliefs and attitudes about social groups from her experience. Consistent with robust evidence from the social sciences, we assume that people are more likely to interact with in-group members than with out-group members. Therefore, they obtain larger samples of information about in-groups than about outgroups. Because estimators of variability tend to be right-skewed, but less so when sample size is large, sampled in-group variability will tend to be higher than sampled out-group variability. This implies that even agents who process information correctly will be subject to the in-group heterogeneity effect. Using computer simulations, we demonstrate that this effect also emerges under a wide range of assumptions about the structure of the environment and how experience translates into perceived group variability. Our findings rely on the assumption that perceived group variability depends on sample variability. We provide evidence in support for this assumption by analyzing data from two nationally representative surveys, re-analyzing data from an existing experiment and in a new experiment. Our explanation complements existing explanations that propose that information about in-group and out-group is processed differently. It suggests that the ingroup heterogeneity effect is a consequence of the structure of the environment in which people live.
Research in Progress
"The Person versus the Situation: A Rational Analysis", with G. Le Mens and J. Denrell
"Rational Analysis of Inferences with Uncertain Categorization" with G. Le Mens
Konovalova, E., & Le Mens, G. "Feature Inference with Uncertain Categorization: Re-assessing Anderson's Rational Model", Psychonomic Bulletin and Review, forthcoming.
Konovalova, E., & Le Mens, G. (2017). Selective Information Sampling and the In-Group Heterogeneity Effect, In G. Gunzelmann, A. Howes, T. Tenbrink, & E. J. Davelaar (Eds.), Proceedings of the 39th Annual Conference of the Cognitive Science Society (pp. 688-693). Austin, TX: Cognitive Science Society.
Konovalova, E., & Le Mens, G. (2016). Predictions with Uncertain Categorization: A Rational Model, In J. Trueswell, A. Papafragou, D. Grodner, & D. Mirman (Eds.), Proceedings of the 38th Annual Conference of the Cognitive Science Society (pp. 722-727). Austin, TX.