Reputation and Learning: Japanese Car Exports to the United States

Goksel, Turkmen

Reputation and Learning: Japanese Car Exports to the United States

MPRA Paper from University Library of Munich, Germany

Abstract: This paper incorporates learning and reputation building into a simple dynamic stochastic model of international trade with asymmetric information. We use the model to study a bilateral trade flow influenced significantly by learning and reputation, namely U.S. imports of Japanese cars over the period 1961-2005. Numerical simulations replicate the trade flow in a robust fashion. In addition to matching this event, we explore further implications of our framework for understanding international trade patterns. Since learning and reputation building require time, predicted short run trade patterns can be quite different than those predicted in the long run. Sectorial differences in the speed of learning and reputation building affect predicted trade patterns. The extent of asymmetric information existing between importers and exporters also changes under different trade policies.

Keywords: international trade; reputation; learning; asymmetric information; automobile (search for similar items in EconPapers)
JEL-codes: F10 (search for similar items in EconPapers)
Date: 2011-02
References: View references in EconPapers View complete reference list from CitEc
Citations: View citations in EconPapers (1)

Downloads: (external link)
https://mpra.ub.uni-muenchen.de/40805/1/MPRA_paper_40805.pdf original version (application/pdf)

Related works:
Journal Article: Reputation and learning: Japanese car exports to the United States (2013)
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:pra:mprapa:40805

Access Statistics for this paper

More papers in MPRA Paper from University Library of Munich, Germany Ludwigstraße 33, D-80539 Munich, Germany. Contact information at EDIRC.
Bibliographic data for series maintained by Joachim Winter ().