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A Theory of Experimenters / Abhijit Banerjee, Sylvain Chassang, Sergio Montero, Erik Snowberg.
- Format:
- Book
- Author/Creator:
- Banerjee, Abhijit.
- Series:
- Working Paper Series (National Bureau of Economic Research) no. w23867.
- NBER working paper series no. w23867
- Language:
- English
- Physical Description:
- 1 online resource: illustrations (black and white);
- Place of Publication:
- Cambridge, Mass. National Bureau of Economic Research 2017.
- Summary:
- This paper proposes a decision-theoretic framework for experiment design. We model experimenters as ambiguity-averse decision-makers, who make trade-offs between subjective expected performance and robustness. This framework accounts for experimenters' preference for randomization, and clarifies the circumstances in which randomization is optimal: when the available sample size is large enough or robustness is an important concern. We illustrate the practical value of such a framework by studying the issue of rerandomization. Rerandomization creates a trade-off between subjective performance and robustness. However, robustness loss grows very slowly with the number of times one randomizes. This argues for rerandomizing in most environments.
- Notes:
- Print version record
- September 2017.
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