Growth, R&D, and uncertainty
Mizuki Tsuboi
Economic Modelling, 2020, vol. 87, issue C, 394-400
Abstract:
I develop and analytically solve the stochastic Romer model in which the creation of ideas is driven by a stochastic process. I show that higher uncertainty about R&D, through the reallocation effects of resources among sectors, slows down economic growth and deteriorates welfare. The results suggest that persistently high uncertainty tends to severely restrict the scope of sustained income growth.
Keywords: R&D; Growth; Welfare; Uncertainty (search for similar items in EconPapers)
JEL-codes: C60 O33 O41 (search for similar items in EconPapers)
Date: 2020
References: View references in EconPapers View complete reference list from CitEc
Citations: View citations in EconPapers (1)
Downloads: (external link)
http://www.sciencedirect.com/science/article/pii/S0264999319305036
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:ecmode:v:87:y:2020:i:c:p:394-400
DOI: 10.1016/j.econmod.2019.08.012
Access Statistics for this article
Economic Modelling is currently edited by S. Hall and P. Pauly
More articles in Economic Modelling from Elsevier
Bibliographic data for series maintained by Catherine Liu ().