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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) <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.
| Version: | 2.2 |
| Depends: | R (≥ 3.1.0) |
| Imports: | MASS |
| Published: | 2024-01-22 |
| DOI: | 10.32614/CRAN.package.ramchoice |
| Author: | Matias D. Cattaneo, Paul Cheung, Xinwei Ma, Yusufcan Masatlioglu, Elchin Suleymanov |
| Maintainer: | Xinwei Ma <x1ma at ucsd.edu> |
| License: | GPL-2 |
| NeedsCompilation: | no |
| CRAN checks: | ramchoice results |
| Reference manual: | ramchoice.pdf |
| Package source: | ramchoice_2.2.tar.gz |
| Windows binaries: | r-devel: ramchoice_2.2.zip, r-release: ramchoice_2.2.zip, r-oldrel: ramchoice_2.2.zip |
| macOS binaries: | r-release (arm64): ramchoice_2.2.tgz, r-oldrel (arm64): ramchoice_2.2.tgz, r-release (x86_64): ramchoice_2.2.tgz, r-oldrel (x86_64): ramchoice_2.2.tgz |
| Old sources: | ramchoice archive |
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These binaries (installable software) and packages are in development.
They may not be fully stable and should be used with caution. We make no claims about them.