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ramchoice (version 3.0.0)

Revealed Preference and Attention Analysis in Random Limited Attention Models

Description

Implements identification, estimation, inference, and specification procedures for random limited-attention models, including the Random Attention Model of Cattaneo, Ma, Masatlioglu, and Suleymanov (2020) and the Attention Overload Model of Cattaneo, Cheung, Ma, and Masatlioglu (2026) . The methods use standard choice data to partially identify preferences and attention and provide simulation-based procedures for statistical inference.

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Install

install.packages('ramchoice')

Monthly Downloads

136

Version

3.0.0

License

GPL-2

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Repository

https://github.com/mdcattaneo/ramchoice

Homepage

https://arxiv.org/abs/2110.10650

Maintainer

Matias D. Cattaneo

Last Published

September 4th, 2026

Functions in ramchoice (3.0.0)

Revealed Attention Analysis in Random Limited Attention Models

print.ramchoiceRevealPrefModel

Internal function.

Sample Inference for the Random Attention Model

Revealed Preference Analysis in Random Limited Attention Models

ramdata: Simulated Choice Data

ramchoice-package

ramchoice: Revealed Preference and Attention Analysis in Random Limited Attention Models

Revealed Preference Analysis in Random Limited Attention Models

print.ramchoiceRevealAtte

Internal function.

print.ramchoiceRevealPref

Internal function.

summary.ramchoiceRevealPrefModel

Internal function.

Generate Summary Statistics

revealPrefModel

Model Falsification with Random Limited Attention

summary.ramchoiceRevealPref

Internal function.

summary.ramchoiceRevealAtte

Internal function.

Population Identification for Homogeneous AOM

Population Analysis for Heterogeneous List-Based Attention Overload

Population Analysis for the Homogeneous Attention Overload Model

Sample Inference for the Homogeneous Attention Overload Model

Compute Choice Probabilities and Attention Frequencies for the Logit Attention Rule

Structured H-LAO Preference Event

Inference for Heterogeneous List-Based Attention Overload

Generate Constraint Matrices

Enumerate Strict Preference Rankings

Path-Independence-Robust Inference for H-LAO

Choice Data Simulation Following the Logit Attention Rule