ramchoice: 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) <arXiv:1712.03448>, which utilizes standard choice data to partially identify and estimate decision maker's preference. For inference, several simulation-based critical values are provided.

Package details

AuthorMatias D. Cattaneo, Xinwei Ma, Yusufcan Masatlioglu, Elchin Suleymanov
MaintainerXinwei Ma <[email protected]>
LicenseGPL-2
Version0.2
Package repositoryView on CRAN
Installation Install the latest version of this package by entering the following in R:
install.packages("ramchoice")

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ramchoice documentation built on Jan. 6, 2018, 1:04 a.m.