Preferred Pharmacy Networks and Drug Costs
Why this work is in the frame
A frame that forgets how it found something cannot be audited. These are the routes that admitted this work.
Bibliographic record
Abstract
Selective contracting is an increasingly popular tool for reducing health care costs, but any savings must be weighed against consumer surplus losses from restricted access. Recently, many prescription drug plans (PDPs) utilize preferred pharmacy networks to reduce drug prices. Our results suggest that Medicare Part D plans with preferred pharmacy networks pay lower retail drug prices, while subsidized enrollees’ insensitivity to preferred pharmacy cost-sharing discounts reduces these savings. We then estimate pharmacy demand models to quantify the costs and benefits of preferred pharmacy networks, finding that the average enrollee benefits from preferred pharmacy contracting due to reduced out-of-pocket (OOP) costs at preferred pharmacies. (JEL G22, H51, I13, I18, L65, L81)
Fetched live from OpenAlex and de-inverted. Abstracts are not stored in this database: the inverted indexes are 8.6 GB of the frame’s 9.3 GB of text, and the host has 13 GB free.
Full frame distilled prediction
Teacher imitationNot calibrated prevalence, not ground truth. Human validation pending. Learned from the 10,348 direct Codex labels and 10,348 direct Gemma labels. Candidate is the union of thresholded teacher heads; consensus is their intersection. These outputs are machine_predicted_unvalidated and are not human labels or direct frontier model labels.
Codex and Gemma teacher scores by category
| Category | Codex | Gemma |
|---|---|---|
| Metaresearch | 0.001 | 0.000 |
| Meta-epidemiology (narrow) | 0.000 | 0.001 |
| Meta-epidemiology (broad) | 0.001 | 0.000 |
| Bibliometrics | 0.001 | 0.000 |
| Science and technology studies | 0.000 | 0.001 |
| Scholarly communication | 0.001 | 0.001 |
| Open science | 0.001 | 0.000 |
| Research integrity | 0.000 | 0.001 |
| Insufficient payload (model declined to judge) | 0.002 | 0.002 |
Machine scores (provisional)
The two teacher heads of the student model, read on this work. A score orders the frame for review; it never asserts a category, and the validation status ships verbatim with every row.
Baseline scores from an immature model (maturity gate not passed, 7 training rounds). Scores rank; they never assert a category.
score_only:v0-immature-baseline · verbatim from the scoring run: score_only means the number may rank works, and no category label ships from it