Corpus ID: 39136530

Dynamically Optimized Sequential Experimentation ( DOSE ) for Estimating Economic Preference Parameters 1

@inproceedings{Wang2010DynamicallyOS,
  title={Dynamically Optimized Sequential Experimentation ( DOSE ) for Estimating Economic Preference Parameters 1},
  author={S. Wang and Michelle Filiba and C. Camerer},
  year={2010}
}
  • S. Wang, Michelle Filiba, C. Camerer
  • Published 2010
  • Dynamically optimized sequential experiments (DOSEs) to estimate risk preferences start with a distribution of beliefs about risk preference parameters, and a set of questions, then dynamically choose questions that maximizes information gain considering previous answers. Applying the method to the 10-question set of Holt and Laury (2002) and the 140-question set of Sokol-Hessner et al. (2009) to measure risk-aversion and lossaversion shows that DOSE sequences create a 50-70% increase in speed… CONTINUE READING
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