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.

Version: 0.2
Depends: R (≥ 3.1.0)
Imports: MASS
Published: 2018-01-05
Author: Matias D. Cattaneo, Xinwei Ma, Yusufcan Masatlioglu, Elchin Suleymanov
Maintainer: Xinwei Ma <xinweima at umich.edu>
License: GPL-2
NeedsCompilation: no
CRAN checks: ramchoice results


Reference manual: ramchoice.pdf
Package source: ramchoice_0.2.tar.gz
Windows binaries: r-devel: ramchoice_0.2.zip, r-release: ramchoice_0.2.zip, r-oldrel: ramchoice_0.2.zip
OS X binaries: r-release: ramchoice_0.2.tgz, r-oldrel: ramchoice_0.2.tgz
Old sources: ramchoice archive


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