Multiple Nash equilibria in tariff games
Hui Huang,
John Whalley and
Shunming Zhang ()
Applied Economics Letters, 2013, vol. 20, issue 4, 332-342
Abstract:
Unlike the case of competitive equilibria for which there is the index theorem, almost nothing is known about multiple equilibria in Nash games. Multiple Nash equilibria are hard to find computationally accounting for spare prior literature discussion. Existing numerical literature on tariff games either assumes uniqueness or uses restrictive functional forms that guarantees this is the case. Here, we show for pure exchange Constant Elasticity of Substitution (CES) two country models with tariffs both how the introduction of a tariff can generate multiple competitive equilibria and related examples of widely separated multiple Nash equilibria. These typically occur when substitution elasticities are low, although implied import demand elasticities can still be high if the shares of trade in consumption are small. The implication seems to be that as one moves away from the constant elasticity excess demands (offer curve) formulations used in the optimal tariff literature to explicit structural models of international trade, multiplicity of Nash equilibria may well be present.
Date: 2013
References: View complete reference list from CitEc
Citations:
Downloads: (external link)
http://hdl.handle.net/10.1080/13504851.2012.701003 (text/html)
Access to full text is restricted to subscribers.
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:taf:apeclt:v:20:y:2013:i:4:p:332-342
Ordering information: This journal article can be ordered from
http://www.tandfonline.com/pricing/journal/RAEL20
DOI: 10.1080/13504851.2012.701003
Access Statistics for this article
Applied Economics Letters is currently edited by Anita Phillips
More articles in Applied Economics Letters from Taylor & Francis Journals
Bibliographic data for series maintained by Chris Longhurst ().