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TitleAn R&D-based real business cycle model
Creator
Date Issued2016-12-01
Source PublicationInternational Review of Economics
ISSN1865-1704
Volume63Issue:4Pages:327-358
AbstractThe New Keynesian Real Business Cycle model with staggered price adjustment is augmented with an R&D producing sector. Two sources of economic shocks are considered, namely random participation (perturbances to the value of alternative investment opportunities in another sector) and financial intermediation (shocks to the cost of raising capital in the financial intermediation market). We find that, when compared to the baseline model, both models can explain procyclical R&D spending. Additionally, the investment oversensitivity problem is corrected. However, only the financial intermediation model is consistent with the observed finding that the volatility of R&D is larger than those of investment and output.
KeywordAsymmetric information Endogenous growth model Real business cycle Research and development
DOI10.1007/s12232-016-0257-0
URLView source
Language英语English
Scopus ID2-s2.0-84969772227
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Cited Times [WOS]:0   [WOS Record]     [Related Records in WOS]
Document TypeJournal article
Identifierhttp://repository.uic.edu.cn/handle/39GCC9TT/6390
CollectionBeijing Normal-Hong Kong Baptist University
Corresponding AuthorFung,Ka Wai Terence
Affiliation
1.Division of Business and Management,United International College,Zhuhai,China
2.Newcastle Business School,Northumbria University,Newcastle upon Tyne,United Kingdom
First Author AffilicationBeijing Normal-Hong Kong Baptist University
Corresponding Author AffilicationBeijing Normal-Hong Kong Baptist University
Recommended Citation
GB/T 7714
Fung,Ka Wai Terence,Lau,Chi Keung Marco,Chan,Kwok Ho. An R&D-based real business cycle model[J]. International Review of Economics, 2016, 63(4): 327-358.
APA Fung,Ka Wai Terence, Lau,Chi Keung Marco, & Chan,Kwok Ho. (2016). An R&D-based real business cycle model. International Review of Economics, 63(4), 327-358.
MLA Fung,Ka Wai Terence,et al."An R&D-based real business cycle model". International Review of Economics 63.4(2016): 327-358.
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