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ramchoice: Revealed Preference and Attention Analysis in Random Limited Attention Models
Implements identification, estimation, inference, and specification procedures for random limited-attention models, including the Random Attention Model of Cattaneo, Ma, Masatlioglu, and Suleymanov (2020) <doi:10.1086/706861> and the Attention Overload Model of Cattaneo, Cheung, Ma, and Masatlioglu (2026) <doi:10.48550/arXiv.2110.10650>. The methods use standard choice data to partially identify preferences and attention and provide simulation-based procedures for statistical inference.
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Package details |
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| Author | Matias D. Cattaneo [aut, cre], Paul Cheung [aut], Xinwei Ma [aut], Yusufcan Masatlioglu [aut], Elchin Suleymanov [aut] |
| Maintainer | Matias D. Cattaneo <matias.d.cattaneo@gmail.com> |
| License | GPL-2 |
| Version | 3.0.0 |
| URL | https://github.com/mdcattaneo/ramchoice https://arxiv.org/abs/2110.10650 |
| Package repository | View on CRAN |
| Installation |
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