ramchoice v1.1


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Estimation and Inference in Random 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 (2019) <arXiv:1712.03448>, which utilizes standard choice data to partially identify and estimate a decision maker's preference. For inference, several simulation-based critical values are provided.

Functions in ramchoice

Name Description
ramdata ramdata: Simulated Data
sumData ramchoice Package: Generate Summary Statistics
print.CMMRandomAttention Internal function.
rAtte rAtte: Estimation and Inference in Random Attention Models
genMat ramchoice Package: Generate Constraint Matrices
ramchoice-package ramchoice: Estimation and Inference in Random Attention Models
summary.CMMRandomAttention Internal function.
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Type Package
License GPL-2
Encoding UTF-8
RoxygenNote 6.1.1
NeedsCompilation no
Packaged 2019-07-11 17:52:56 UTC; xinweima
Repository CRAN
Date/Publication 2019-07-11 21:57:28 UTC

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