Replication data for: On the Cyclicality of Research and Development
Principal Investigator(s): View help for Principal Investigator(s) Gadi Barlevy
Version: View help for Version V1
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Project Citation:
Barlevy, Gadi. Replication data for: On the Cyclicality of Research and Development. Nashville, TN: American Economic Association [publisher], 2007. Ann Arbor, MI: Inter-university Consortium for Political and Social Research [distributor], 2019-12-07. https://doi.org/10.3886/E116283V1
Project Description
Summary:
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Economists have recently argued recessions play a useful role in fostering growth.
Yet a major source of growth, R&D, is procyclical. This paper argues one reason
for procyclical R&D is a dynamic externality inherent in R&D that makes entrepreneurs
short-sighted and concentrate their innovation in booms, even when it is
optimal to concentrate it in recessions. Additional forces may imply that procyclical
R&D is desirable, but equilibrium R&D is likely to be too procyclical, and macroeconomic
shocks are likely to have overly persistent effects on output and make
growth more costly than in the absence of such shocks.
Scope of Project
Subject Terms:
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programming code for numerically solving model;
Data from different databases
JEL Classification:
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E32 Business Fluctuations; Cycles
L26 Entrepreneurship
O32 Management of Technological Innovation and R&D
O47 Empirical Studies of Economic Growth; Aggregate Productivity; Cross-Country Output Convergence
E32 Business Fluctuations; Cycles
L26 Entrepreneurship
O32 Management of Technological Innovation and R&D
O47 Empirical Studies of Economic Growth; Aggregate Productivity; Cross-Country Output Convergence
Geographic Coverage:
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United States
Time Period(s):
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1953 – 2003 (One dataset on total US that starts in 1953 and ends in 2003, one dataset starts in 1958 and ends in 2004 is by industry and year)
Universe:
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R and D expenditures for industries in the US as reported to NSF or compiled in NBER Productivity database or reported in Compustat
Data Type(s):
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census/enumeration data;
program source code
Methodology
Data Source:
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Compustat BEA NBER Productivity database
Unit(s) of Observation:
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Year,
Industry by year,
Related Publications
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