DeepSData
Dataset guide · 经济与社会科学

Long-run dynamics of the US patent classification system

This dataset contains several files used in the paper by François Lafond and Daniel Kim, covering the evolution of the number of classes in the US Patent Classification System from 1836 to 2015, and original and current classification data for patents granted between 1976 and 2015.

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经济与社会科学Free to access

Key facts

InstitutionFrançois Lafond and Daniel Kim
CoverageUS Patent Classification System
Time span1836-2015 (class count evolution); 1976-2015 (patent classification data)
Scale7 files
LicenseLicense pending verification
AccessHarvard Dataverse

Contents & fields

The dataset contains 7 files supporting the paper's analysis. Files include: data on the evolution of the number of classes in the US Patent Classification System (1836-2015), and original (at grant) and current (2015) primary classification at the class level for patents granted between 1976 and 2015. No field-level description is publicly available on the source page.

Research uses

Suitable for research on patent classification evolution, technological change, and innovation economics.

This card was drafted from the source page; institution, coverage, time span, scale, fields and license are subject to the official page (pending human review).

Keywords

US patent classificationlong-run dynamicspatent classification evolutiontechnological changeinnovation economics

Access & license

License: License pending verification | Free to access

Why this is hard to get on your own

When obtaining structured data on the long-run dynamics of patent classification, it is often extracted from paper supplements with incomplete field descriptions.

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