Document Type
Discussion Paper
Publication Date
3-1-2013
CFDP Number
1890R
CFDP Revision Date
2014-03-01
CFDP Pages
14
Abstract
This paper is an exposition of an experiment on revealed preferences, where we posite a novel discrete binary choice model. To estimate this model, we use general estimating equations or GEE. This is a methodology originating in biostatistics for estimating regression models with correlated data. In this paper, we focus on the motivation for our approach, the logic and intuition underlying our analysis and a summary of our findings. The missing technical details are in the working paper by Bunn, et al. (2013). The experimental data is available from the corresponding author: donald.brown@yale.edu . The recruiting poster and informed consent form are attached as appendices.
Recommended Citation
Brown, Donald J.; Bunn, Oliver D.; and Calsamiglia, Caterina, "Fictive Learning in Choice under Uncertainty: A Logistic Regression Model" (2013). Cowles Foundation Discussion Papers. 2263.
https://elischolar.library.yale.edu/cowles-discussion-paper-series/2263