Data and Code for Productivity J-Curve
收藏ICPSR2020-01-01 更新2026-04-16 收录
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https://www.openicpsr.org/openicpsr/project/117947/version/V1/view
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资源简介：
General purpose technologies (GPTs) like AI enable and require significant complementary investments. These investments are often intangible and poorly measured in national accounts. We develop a model that shows how this can lead to underestimation of productivity growth in a new GPTs early years and, later, when the benefits of intangible investments are harvested, productivity growth overestimation. We call this phenomenon the Productivity J-Curve. We apply our method to U.S. data and find that adjusting for intangibles related to computer hardware and software yields a TFP level that is 15.9% higher than official measures by the end of 2017.
提供机构：
University of Chicago; Massachusetts Institute of Technology
创建时间：
2020-01-01
