Estimation and Inference in Random Attention Models

It is widely documented in psychology, economics and other disciplines that socio-economic agents do not pay full attention to all available choices, rendering standard revealed preference theory invalid. This package implements the estimation and inference procedures documented in Cattaneo, Ma, Masatlioglu and Suleymanov (2017) , which utilizes standard choice data to partially identify and estimate decision maker's preference. For inference, several simulation-based critical values are provided.


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install.packages("ramchoice")

0.2 by Xinwei Ma, a year ago


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


Authors: Matias D. Cattaneo , Xinwei Ma , Yusufcan Masatlioglu , Elchin Suleymanov


Documentation:   PDF Manual  


GPL-2 license


Imports MASS


See at CRAN