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- Forthcoming
- Article
Statistical Inference for Heterogeneous Treatment Effects Discovered by Generic Machine Learning in Randomized Experiments
By: Kosuke Imai and Michael Lingzhi Li
Researchers are increasingly turning to machine learning (ML) algorithms to investigate causal heterogeneity in randomized experiments. Despite their promise, ML algorithms may fail to accurately ascertain heterogeneous treatment effects under practical settings with... View Details
Imai, Kosuke, and Michael Lingzhi Li. "Statistical Inference for Heterogeneous Treatment Effects Discovered by Generic Machine Learning in Randomized Experiments." Journal of Business & Economic Statistics (forthcoming). (Pre-published online July 8, 2024.)
- Forthcoming
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The Case Study as an Academic Methodology
By: David J. Collis
Pankaj Ghemawat made contributions to the strategy field with his application of case research as an academic methodology. View Details
- Research Summary
The Transition to Retirement
My current major research program is the Retirement Transitions Study: a broad study of retiring professionals' everyday experiences, including identification with work; identity stability, change, and development; meaningfulness of work; changes in life structure,... View Details
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