print.ramchoiceRevealPrefModel

internal

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 (2020) <arXiv:1712.03448> and Cattaneo, Cheung, Ma, and Masatlioglu (2022) <arXiv:2110.10650>, which utilizes standard choice data to partially identify and estimate a decision maker's preference and attention. For inference, several simulation-based critical values are provided.

Xinwei Ma

ramchoice

Revealed Preference and Attention Analysis in Random Limited
Attention Models

print.ramchoiceRevealPrefModel function

<dl><dt>x</dt>
<dd>Class <code>ramchoiceRevealPrefModel</code> objects.</dd></dl>

Arguments

Internal function. — print.ramchoiceRevealPrefModel

<dl>

<dt>x</dt>
<dd>Class <code>ramchoiceRevealPrefModel</code> objects.</dd>

</dl>

print.ramchoiceRevealPrefModel: Internal function.

Description

Usage

Arguments