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
RA OCR Audit			02/06/2021 09:17:AM
old_scraper			02/06/2021 08:36:AM
temp			02/06/2021 08:39:AM
ComputeSim2019_agg.py	text/x-python	6.2 KB	02/06/2021 03:35:AM
ComputeSim2019_agg2stat.py	text/x-python	7.5 KB	02/06/2021 03:35:AM
ComputeSim2019_pws.py	text/x-python	5.6 KB	02/06/2021 03:35:AM
CreateFig1_step1a.do	text/x-stata-syntax	236 bytes	02/06/2021 03:35:AM
KeyItemParser.py	application/x-sh	5.1 KB	02/06/2021 03:35:AM
PatScraper.py	text/x-python	2.5 KB	02/06/2021 03:35:AM
dict_aggregator.py	text/x-python	1.1 KB	02/06/2021 03:35:AM

Project Description

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

Scope of Project

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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