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  "Title": "Revealed Preference and Attention Analysis in Random Limited\nAttention Models",
  "Description": "It is widely documented in psychology, economics and other\ndisciplines that socio-economic agent may not pay full\nattention to all available alternatives, rendering standard\nrevealed preference theory invalid. This package implements the\nestimation and inference procedures of Cattaneo, Ma,\nMasatlioglu and Suleymanov (2020) <arXiv:1712.03448> and\nCattaneo, Cheung, Ma, and Masatlioglu (2022)\n<arXiv:2110.10650>, which utilizes standard choice data to\npartially identify and estimate a decision maker's preference\nand attention. For inference, several simulation-based critical\nvalues are provided.",
  "Version": "2.2",
  "Author": "Matias D. Cattaneo, Paul Cheung, Xinwei Ma, Yusufcan\nMasatlioglu, Elchin Suleymanov",
  "Maintainer": "Xinwei Ma <x1ma@ucsd.edu>",
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      "title": "ramchoice: Revealed Preference and Attention Analysis in Random Limited Attention Models",
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        "ramchoice"
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        "menu",
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