What Can We Learn from Experiments? Understanding the Threats to the Scalability of Experimental Results
By Omar Al-Ubaydli, John A. List, D. Suskind. 2017
121 citations recorded by the source corpus.
Subfields: Economics and Econometrics, General Health Professions, Statistics and Probability
View Paper: https://www.semanticscholar.org/paper/5b844c43926b8e0e23078e6fcb33c1e18f03bab3
How researchers see this paper
The researchers whose trusted networks rank it highest, strongest advocate first. Every researcher gets a different order.
In Economics and Econometrics
- John A. List
- Jayson L. Lusk
- Imran Rasul
- Thomas Brown
- S. B. Olsen
- J. Ladenburg
- Jackson Loomis
- F. Norwood
In General Health Professions
In Statistics and Probability
Citations in the corpus
- Objecting to experiments that compare two unobjectionable policies or treatments (2019, unknown): “The A/B effect explored here may be one of many factors that explain why it is difficult to scale the results of small laboratory or field experiments up to the level of larger populations (24).”
- Non est Disputandum de Generalizability? A Glimpse into The External Validity Trial (2020, background): “Non-negotiables are features that if changed at scale will considerably impact outcomes (see Al-Ubaydli et al., 2017b). best shot, as well as exploring causal mechanisms.”