Revealed Preference and Attention Analysis in Random Limited Attention Models

Implements identification, estimation, inference, and specification procedures for random limited-attention models, including the Random Attention Model of Cattaneo, Ma, Masatlioglu, and Suleymanov (2020) and the Attention Overload Model of Cattaneo, Cheung, Ma, and Masatlioglu (2026) . The methods use standard choice data to partially identify preferences and attention and provide simulation-based procedures for statistical inference.


Reference manual

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install.packages("ramchoice")

3.0.0 by Matias D. Cattaneo, a month ago


https://github.com/mdcattaneo/ramchoice, https://arxiv.org/abs/2110.10650


Report a bug at https://github.com/mdcattaneo/ramchoice/issues


Browse source code at https://github.com/cran/ramchoice


Authors: Matias D. Cattaneo [aut, cre] , Paul Cheung [aut] , Xinwei Ma [aut] , Yusufcan Masatlioglu [aut] , Elchin Suleymanov [aut]


Documentation:   PDF Manual  


GPL-2 license


Imports lpSolve, MASS

Suggests testthat


See at CRAN