reportJan 1, 2024Closed access

Field Experiments: Design, Analysis, and Interpretation

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Abstract

This five-day workshop, led by Donald Green from Columbia University, provides a comprehensive guide to designing, executing, and interpreting field experiments across various social science fields. Participants will receive a broad-based introduction to causal inference and experimental designs that address complications such as noncompliance or attrition, while gaining hands-on experience with statistical software and learning best practices for conducting scientifically rigorous and ethically sound research.

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Authors

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Topics & keywords

Keywords
  • Interpretation (philosophy)
  • Field (mathematics)
  • Computer science
  • Mathematics
  • Programming language
  • Pure mathematics
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