Estimation and Inference in Random Attention Models

It is widely documented in psychology, economics and other disciplines that socio-economic agent may not pay full attention to all available alternatives, rendering standard revealed preference theory invalid. This package implements the estimation and inference procedures of Cattaneo, Ma, Masatlioglu and Suleymanov (2019) , which utilizes standard choice data to partially identify and estimate a decision maker's preference. For inference, several simulation-based critical values are provided.


Reference manual

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1.1 by Xinwei Ma, 2 years ago

Browse source code at

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

Documentation:   PDF Manual  

GPL-2 license

Imports MASS

See at CRAN