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Project Citation: 

Jones, Benjamin, and Liu, Xiaojie. Data and Code for:  A Framework for Economic Growth with Capital-Embodied Technical Change. Nashville, TN: American Economic Association [publisher], 2024. Ann Arbor, MI: Inter-university Consortium for Political and Social Research [distributor], 2024-04-01. https://doi.org/10.3886/E195364V1

Project Description

Summary:  View help for Summary Technological advance is often embodied in capital inputs, like computers, airplanes, and robots.  This paper builds a framework where capital inputs advance through (1) increased automation, and (2) increased productivity.  The interplay of these two innovation dimensions can produce balanced growth, satisfying the Uzawa Growth Theorem even though technological progress is capital-embodied. The framework can further address structural transformation, general purpose technologies, the limited macroeconomic impact of computing, and declining productivity growth and labor shares.  Overall, this tractable framework can help resolve puzzling tensions between micro-level observations of innovation and balanced growth, while providing new perspectives on numerous macroeconomic phenomena.
Funding Sources:  View help for Funding Sources Air Force Office of Scientific Research (FA9550-19-1-0354)

Scope of Project

Subject Terms:  View help for Subject Terms economic growth; automation; Uzawa growth theorem; balanced growth; structural change; labor share of income; Solow's paradox; artificial intelligence
JEL Classification:  View help for JEL Classification
      O10 Economic Development: General
      O30 Innovation; Research and Development; Technological Change; Intellectual Property Rights: General
      O40 Economic Growth and Aggregate Productivity: General
Geographic Coverage:  View help for Geographic Coverage United States
Time Period(s):  View help for Time Period(s) 1945 – 2023
Collection Date(s):  View help for Collection Date(s) 8/19/2021 – 12/16/2023
Universe:  View help for Universe
1. U.S. economy aggregate output and sectoral output.  
2. U.S. employment, compensation, and average labor productivity.
3. Microprocessor advances and costs per floating point operation.
Data Type(s):  View help for Data Type(s) aggregate data; event/transaction data

Methodology

Data Source:  View help for Data Source No primary data was collected.  Data was downloaded from existing sources.  See ReadMe.
Unit(s) of Observation:  View help for Unit(s) of Observation Annual; aggregate and sectoral output, labor shares of income; also, computing costs.

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