Intellectual Property Rights and Access to Innovation: Evidence from TRIPS
Bibliographic record
Abstract
We examine the effect of pharmaceutical patent protection on the speed of drug launch, price, and quantity in 60 countries from 2000-2013. The World Trade Organization required its member countries to implement a minimum level of patent protection within a specified time period as part of the TRIPS Agreement. However, members retained the right to impose price controls and to issue compulsory licenses under certain conditions. These countervailing policies were intended to reduce the potential static losses that result from reduced competition during the patent term. We take advantage of the fact that at the product level, selection into TRIPS "treatment" is exogenously determined by compliance deadlines that vary across countries. We find that patents have important consequences for access to new drugs: in the absence of a patent, launch is unlikely. That is, even when no patent barrier exists, generic entry may not occur. Conditional on launch, patented drugs have higher prices but higher sales as well. The price premium associated with patents is smaller in poorer countries. Price discrimination across countries has increased for drugs patented post-TRIPS and prices are negatively related to the burden of disease, suggesting that countervailing policies to offset expected price increases may have had the intended effects.
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How this classification was reachedexpand
Full frame machine prediction
Teacher imitationNot calibrated prevalence, not ground truth. Human validation pending. The Gemma side is a direct model label for every work in the frame, read from the title-only record. The Codex side is a classifier learned from the 10,348 direct Codex labels and calibrated to design-weighted sample rates; fields without enough sample support carry no Codex call. Candidate is the union of the two sides; consensus is their intersection. These outputs are machine_predicted_unvalidated and are not human labels.
Distilled classifier scores by category (both heads)
| Category | Codex | Gemma |
|---|---|---|
| Metaresearch | 0.004 | 0.030 |
| Meta-epidemiology (narrow) | 0.000 | 0.000 |
| Meta-epidemiology (broad) | 0.000 | 0.001 |
| Bibliometrics | 0.002 | 0.004 |
| Science and technology studies | 0.001 | 0.002 |
| Scholarly communication | 0.002 | 0.002 |
| Open science | 0.001 | 0.003 |
| Research integrity | 0.001 | 0.002 |
| Insufficient payload (model declined to judge) | 0.013 | 0.001 |
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 itClassification
machine, unvalidatedMachine predicted; a candidate call from one source (direct Gemma or distilled Codex), not a consensus.
How this classification was reached, model by model and score by score, is at the end of the page under "How this classification was reached".