ramchoice

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

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Description file content

Package
ramchoice
Type
Package
Title
Estimation and Inference in Random Attention Models
Description
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.
Version
1.1
Author
Matias D. Cattaneo, Xinwei Ma, Yusufcan Masatlioglu, Elchin Suleymanov
Maintainer
Xinwei Ma
Imports
MASS
Depends
R (>= 3.1.0)
License
GPL-2
Encoding
UTF-8
RoxygenNote
6.1.1
NeedsCompilation
no
Packaged
2019-07-11 17:52:56 UTC; xinweima
Repository
CRAN
Date/Publication
2019-07-11 21:57:28 UTC

install.packages('ramchoice')

1.1

6 days ago

Xinwei Ma

GPL-2

Depends on

R (>= 3.1.0)

Imports

MASS

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