A Bayesian spatial probit estimation of Free Trade Agreement contagion

Dany Jaimovich

Applied Economics Letters, 2012, vol. 19, issue 6, 579-583

Abstract: This article analyses the spatial interdependence of Free Trade Agreements (FTAs) in a cross-section framework using the Contagion Index proposed by Baldwin and Jaimovich (2010). A Bayesian heteroskedastic probit model is estimated, where a spatial lag is built based on the Contagion Index , finding evidence of interdependence related with a domino-like effect. I compare the results with other spatial specifications previously used in the literature.

Date: 2012
References: View references in EconPapers View complete reference list from CitEc
Citations: View citations in EconPapers (2)

Downloads: (external link)
http://hdl.handle.net/10.1080/13504851.2011.587958 (text/html)
Access to full text is restricted to subscribers.

Related works:
Working Paper: A Bayesian spatial probit estimation of Free Trade Agreement contagion (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:taf:apeclt:v:19:y:2012:i:6:p:579-583

Ordering information: This journal article can be ordered from
http://www.tandfonline.com/pricing/journal/RAEL20

DOI: 10.1080/13504851.2011.587958

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 ().