Economics at your fingertips  

Herding, Technology Adoption and Boom-Bust Cycles

Edouard Schaal and Mathieu Taschereau-Dumouchel ()

No 111, 2018 Meeting Papers from Society for Economic Dynamics

Abstract: We embed a theory of rational herding into a real business-cycle framework. In the model, technological innovations arrive randomly over time. New innovations are not immediately productive, and there is uncertainty about how productive the technology will be. Investors receive private signals about the future productivity and decide whether to invest in the technology or not. Macroeconomic variables and prices partially aggregate private information but do not reveal the true fundamentals as the agents ignore the degree of correlation in their information sets. Herd-driven boom-bust cycles may arise in this environment when the technology is unproductive but investors' initial signals are optimistic and highly correlated. When the technology appears, investors mistakenly attribute observed high investment rates to high fundamentals, leading to a pattern of increasing optimism and investment until the economy reaches a peak, followed by a quick collapse, as agents ultimately learn their mistake. As such, the theory can shed light on bubble-like episodes in which excessive optimism about uncertain technology fueled overinvestment, and were followed by sudden recessions. We calibrate the model to the U.S. economy and show that the theory can explain various features of the data that relate to the cyclicality and the predictability of business cycles. Finally, we show that leaning-against-the-wind policies can be welfare improving as they increase the amount of private information that becomes public.

Date: 2018
New Economics Papers: this item is included in nep-dge
References: Add references at CitEc
Citations: Track citations by RSS feed

Downloads: (external link) (application/pdf)

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:

Access Statistics for this paper

More papers in 2018 Meeting Papers from Society for Economic Dynamics Society for Economic Dynamics Marina Azzimonti Department of Economics Stonybrook University 10 Nicolls Road Stonybrook NY 11790 USA. Contact information at EDIRC.
Bibliographic data for series maintained by Christian Zimmermann ().

Page updated 2020-09-07
Handle: RePEc:red:sed018:111