ramchoice
Revealed Preference and Attention Analysis in Random Limited 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 (2020) doi:10.48550/arXiv.1712.03448 and Cattaneo, Cheung, Ma, and Masatlioglu (2022) doi:10.48550/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.
- Version2.2
- R versionunknown
- LicenseGPL-2
- Needs compilation?No
- Last release01/22/2024
Team
Xinwei Ma
Matias D. Cattaneo
Paul Cheung
Yusufcan Masatlioglu
Elchin Suleymanov
Insights
Last 30 days
Last 365 days
The following line graph shows the downloads per day. You can hover over the graph to see the exact number of downloads per day.
Data provided by CRAN
Binaries
Dependencies
- Imports1 package