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ramchoice (version 1.1)

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.

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Version

Install

install.packages('ramchoice')

Monthly Downloads

195

Version

1.1

License

GPL-2

Maintainer

Xinwei Ma

Last Published

July 11th, 2019

Functions in ramchoice (1.1)

ramdata

ramdata: Simulated Data
sumData

ramchoice Package: Generate Summary Statistics
print.CMMRandomAttention

Internal function.
rAtte

rAtte: Estimation and Inference in Random Attention Models
genMat

ramchoice Package: Generate Constraint Matrices
ramchoice-package

ramchoice: Estimation and Inference in Random Attention Models
summary.CMMRandomAttention

Internal function.