Animal spirits and the composition of innovation in a lab-equipment R&D model with transition
Pedro Gil
Journal of Economics, 2013, vol. 108, issue 1, 33 pages
Abstract:
We study the effect of animal spirits on the composition of aggregate R&D, the consumption level and economic growth in a tournament model of horizontal and vertical R&D. By considering a full lab-equipment specification, the model predicts a positive effect of animal spirits on the balanced-growth-path (BGP) level of per-capita consumption without impacting on economic growth and on aggregate vertical R&D. However, transition is slower under “waves of enthusiasm”, implying a longer period in which growth rates are higher than the BGP level. An economy that is subject to expectations shocks then converges at a time-varying speed. On average over time, transition is longer but less “painful”—i.e., with higher per-capita consumption levels—than otherwise. Copyright Springer-Verlag 2013
Keywords: Animal spirits; Endogenous growth; Horizontal and vertical R&D; Time-varying speed of transition; O41; E32; D43; L16 (search for similar items in EconPapers)
Date: 2013
References: View references in EconPapers View complete reference list from CitEc
Citations: View citations in EconPapers (3)
Downloads: (external link)
http://hdl.handle.net/10.1007/s00712-012-0266-8 (text/html)
Access to full text is restricted to subscribers.
Related works:
Working Paper: Animal Spirits and the Composition of Innovation in a Lab-Equipment R&D Model with Transition (2010)
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:kap:jeczfn:v:108:y:2013:i:1:p:1-33
DOI: 10.1007/s00712-012-0266-8
Access Statistics for this article
Journal of Economics is currently edited by Giacomo Corneo
More articles in Journal of Economics from Springer
Bibliographic data for series maintained by Sonal Shukla () and Springer Nature Abstracting and Indexing ().