On the cyclicality of R&D activities
Matthias Mand
Journal of Macroeconomics, 2019, vol. 59, issue C, 38-58
Abstract:
This paper develops a real business cycle model with endogenous innovation, in order to explore cyclical fluctuations in R&D activities. A calibrated version of the model is used to discriminate between different R&D production technologies on their ability to account for the observation that R&D in the U.S. is procyclical. The analysis finds that the knowledge-driven specification, commonly used in the growth literature, fails to account for important features of the business cycle, most notably the procycical movement of both R&D investment and R&D employment. An alternative specification that allows for multiple inputs including scientists, staff, and final goods can account for the business cycle phenomena of the U.S. economy, including the procyclicality of R&D activities. An implication of this particular specification of the R&D process is that productivity shocks amplify the business cycle by stimulating more ideas in good times.
Keywords: R&D; Endogenous growth; Real business cycle (search for similar items in EconPapers)
JEL-codes: E32 O31 O33 (search for similar items in EconPapers)
Date: 2019
References: View references in EconPapers View complete reference list from CitEc
Citations: View citations in EconPapers (6)
Downloads: (external link)
http://www.sciencedirect.com/science/article/pii/S0164070417302914
Full text for ScienceDirect subscribers only
Related works:
This item may be available elsewhere in EconPapers: Search for items with the same title.
Export reference: BibTeX
RIS (EndNote, ProCite, RefMan)
HTML/Text
Persistent link: https://EconPapers.repec.org/RePEc:eee:jmacro:v:59:y:2019:i:c:p:38-58
DOI: 10.1016/j.jmacro.2018.10.008
Access Statistics for this article
Journal of Macroeconomics is currently edited by Douglas McMillin and Theodore Palivos
More articles in Journal of Macroeconomics from Elsevier
Bibliographic data for series maintained by Catherine Liu ().