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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
- Article
The Imperfect Intermediation of Money-Like Assets
By: Jeremy C. Stein and Jonathan Wallen
We study supply-and-demand effects in the U.S. Treasury bill market by comparing the returns on T-bills to the administered policy rate on the Federal Reserve’s reverse repurchase (RRP) facility. In spite of the arguably more money-like properties of an investment in... View Details
Stein, Jeremy C., and Jonathan Wallen. "The Imperfect Intermediation of Money-Like Assets." Journal of Finance (forthcoming).
- Research Summary
Understanding Human Nature
By: Nitin Nohria
Recent advances in biological sciences provide great insights into the workings of the human brain and thereby into human nature. Drawing upon this research, my colleague Paul Lawrence and I propose a neo-Darwinian theory of human motivation based on four basic human... View Details
- Forthcoming
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Variation in Batch Ordering of Imaging Tests in the Emergency Department and the Impact on Care Delivery
By: Jacob C. Jameson, Soroush Saghafian, Robert S. Huckman and Nicole Hodgson
Objectives: To examine heterogeneity in physician batch ordering practices and measure the impact of a physician's tendency to batch order imaging tests on patient outcomes and resource utilization.
Study Setting and Design: In this retrospective study, we used... View Details
Study Setting and Design: In this retrospective study, we used... View Details
Keywords: Health Care; Operations Management; Productivity; Health Care and Treatment; Operations; Outcome or Result; Resource Allocation; Health Industry; United States
Jameson, Jacob C., Soroush Saghafian, Robert S. Huckman, and Nicole Hodgson. "Variation in Batch Ordering of Imaging Tests in the Emergency Department and the Impact on Care Delivery." Health Services Research (forthcoming). (Pre-published online November 5, 2024.)
- Research Summary
What Really Works: Fundamental Drivers of Corporate Performance
By: Nitin Nohria
Based on a systematic examination of over 200 management practices that have been hypothesized to influence corporate performance, we identify eight management practices that appear to be the most robust drivers of long term corporate success. We are now trying to... View Details
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