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Decision Theoretic Approaches to Experiment Design and External Validity / Abhijit Banerjee, Sylvain Chassang, Erik Snowberg.
- Format:
- Book
- Author/Creator:
- Banerjee, Abhijit.
- Series:
- Working Paper Series (National Bureau of Economic Research) no. w22167.
- NBER working paper series no. w22167
- Language:
- English
- Physical Description:
- 1 online resource: illustrations (black and white);
- Place of Publication:
- Cambridge, Mass. National Bureau of Economic Research 2016.
- Summary:
- A modern, decision-theoretic framework can help clarify important practical questions of experimental design. Building on our recent work, this chapter begins by summarizing our framework for understanding the goals of experimenters, and applying this to re-randomization. We then use this framework to shed light on questions related to experimental registries, pre-analysis plans, and most importantly, external validity. Our framework implies that even when large samples can be collected, external decision-making remains inherently subjective. We embrace this conclusion, and argue that in order to improve external validity, experimental research needs to create a space for structured speculation.
- Notes:
- Print version record
- April 2016.
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