Replication Data for: Measuring Technological Innovation Over The Long Run

Principal Investigator(s):  View help for Principal Investigator(s) Bryan Kelly, Yale University and NBER; Dimtiris Papanikolaou, Northwestern University and NBER; Amit Seru, Stanford GSB and NBER; Matt Taddy, Amazon

Version:  View help for Version V1

Name File Type Size Last Modified
Assignees.dta application/x-stata 2.1 GB 02/05/2021 05:17:PM
KPSS.dta application/x-stata 111.6 MB 02/05/2021 05:17:PM
Patent2CPCdummy2.dta application/x-stata 309.9 MB 02/05/2021 05:17:PM
PatentChar.dta application/x-stata 69.3 MB 02/05/2021 05:17:PM
PatentCitations.dta application/x-stata 256.2 MB 02/05/2021 05:17:PM
PatentDatesClasses.dta application/x-stata 8.8 GB 02/05/2021 05:17:PM
PatentSimilarity.dta application/x-stata 415.3 MB 02/05/2021 05:17:PM
full_CPC_class.dta application/x-stata 883.1 MB 02/05/2021 05:17:PM

Citation: 

Kelly, Bryan, Papanikolaou, Dimtiris, Seru, Amit, and Taddy, Matt. Replication Data for: Measuring Technological Innovation Over The Long Run: input_data. Nashville, TN: American Economic Association [publisher], 2021. Ann Arbor, MI: Inter-university Consortium for Political and Social Research [distributor], 2021-04-30. https://doi.org/10.3886/E119043V1-110280

To view the citation for the overall project, see http://doi.org/10.3886/E119043V1.

Project Description

Summary:  View help for Summary Replication Data for Measuring Innovation over the Long Run, AERI-2019-0499 

Scope of Project

JEL Classification:  View help for JEL Classification
      N10 Economic History: Macroeconomics and Monetary Economics; Industrial Structure; Growth; Fluctuations: General, International, or Comparative
      O30 Innovation; Research and Development; Technological Change; Intellectual Property Rights: General
      O40 Economic Growth and Aggregate Productivity: General


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Published Versions

V1 [2021-04-30]

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