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Record W1561889056 · doi:10.3386/w20799

Intellectual Property Rights and Access to Innovation: Evidence from TRIPS

2014· preprint· en· W1561889056 on OpenAlexaff
Margaret Kyle, Yi Qian

Bibliographic record

VenueNational Bureau of Economic Research · 2014
Typepreprint
Languageen
FieldEconomics, Econometrics and Finance
TopicPharmaceutical Economics and Policy
Canadian institutionsKellogg's (Canada)
Fundersnot available
KeywordsTRIPS architectureIntellectual propertyBusinessCompetition (biology)TRIPS AgreementPrice premiumProduct (mathematics)International economicsInternational tradeDrug pricesIndustrial organizationEconomicsPublic economicsMicroeconomics

Abstract

fetched live from OpenAlex

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.

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.

How this classification was reachedexpand

Full frame machine prediction

Teacher imitation

Not 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.

metaresearch head score (Codex)0.004
metaresearch head score (Gemma)0.030
Version: metacan-v3-hybrid-931329e0061cValidation status: machine_predicted_unvalidated
Candidate categoriesnone
Consensus categoriesnone
DomainCandidate signal: none · Consensus signal: none
Study designCandidate signal: Observational · Consensus signal: Observational
GenreCandidate signal: Empirical · Consensus signal: Empirical
Teacher disagreement score0.013
Threshold uncertainty score0.043

Distilled classifier scores by category (both heads)

CategoryCodexGemma
Metaresearch0.0040.030
Meta-epidemiology (narrow)0.0000.000
Meta-epidemiology (broad)0.0000.001
Bibliometrics0.0020.004
Science and technology studies0.0010.002
Scholarly communication0.0020.002
Open science0.0010.003
Research integrity0.0010.002
Insufficient payload (model declined to judge)0.0130.001

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.

Opus teacher head0.673
GPT teacher head0.543
Teacher spread0.130 · how far apart the two teachers sit on this one work
Validation statusscore_only:v0-immature-baseline · verbatim from the scoring run: score_only means the number may rank works, and no category label ships from it

Classification

machine, unvalidated

Machine predicted; a candidate call from one source (direct Gemma or distilled Codex), not a consensus.

The models applied no category: nothing in the taxonomy fit this work.
Study designObservational
Domainnot available
GenreEmpirical

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".

Quick stats

Citations90
Published2014
Admission routes1
Has abstractyes

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