Jason Abaluck on Muck Rack

Jason Abaluck

Huntingdon, New Haven
As seen in: The New York Times, Post Outlook, YALE Chief Executive Leadership Institute, Yale University, Science Magazine, Yahoo, Medical Xpress, The Salt Lake Tribune, The Everett Daily Herald, National Bureau of Economic Research
Professor of Economics at Yale SOM
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Articles

Insurance with Multiple Actors

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By Jason Abaluck, Oren Sarig, Jintaek Song
| National Bureau of Economic Research
For helpful comments and suggestions, we thank Zarek Brot, Tatyana Deryugina, Amy Finkelstein, Jon Gruber, Yunan Ji, Timothy Layton, Barry Nalebuff, Julian Reif, Molly Schnell, and Mark Shepard. The Medicare data used in this paper were acquired and maintained with support from the National Institute on Aging (R01AG075073) and the National Science Foundation (Award 2049250). The authors have no conflicts of interest to disclose.
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Does LLM Assistance Improve Healthcare Delivery? An Evaluation Using On-site Physicians and Laboratory Tests

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By Jason Abaluck, Robert Pless, Nirmal Ravi, Anja Sautmann
| National Bureau of Economic Research
The authors gratefully acknowledge the research assistance of Nina (Zi Wei) Low, Lisa Timm, Eduardo Arancón Simal, Grady McPeak, Kylie Kim, Owen Hart, and Tedi Totojani. We thank Fatimah Howeidy, Attat Yohannes, Adham Hallal for project support, Ogochukwu Maduabum and George Ohia for building the electronic medical record. Drs. Fatimah Tsiga- Ahmed, Rabiu Jalo and Aminatu Kwaku reviewed the patient notes.
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Trials Avoid High Risk Patients and Underestimate Drug Harms

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By Jason Abaluck, Leila Agha, Sachin J Shah
| National Bureau of Economic Research
We are thankful to Daniel Park and Brendan Balthis for their expert research assistance. We are grateful for Christopher Manz and Hari Raman for their thoughtful guidance on how to classify oncology trials and identify trial-eligible cohorts in SEER-Medicare data. We thank David Chan and seminar participants at University of Massachusetts-Amherst for their helpful feedback on this project. Sachin Shah received grant funding from NIA K76AG074919 to support this work.
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