Revealed Preference and Attention Analysis in Random Limited Attention Models
Generate Constraint Matrices
Compute Choice Probabilities and Attention Frequencies for the Logit A...
Choice Data Simulation Following the Logit Attention Rule
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ramchoice: Revealed Preference and Attention Analysis in Random Limite...
Revealed Preference Analysis in Random Limited Attention Models
Revealed Attention Analysis in Random Limited Attention Models
Revealed Preference Analysis in Random Limited Attention Models
Model Falsification with Random Limited Attention
Generate Summary Statistics
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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.