Please use this identifier to cite or link to this item: http://hdl.handle.net/10419/87544
Year of Publication: 
2012
Series/Report no.: 
Tinbergen Institute Discussion Paper No. 12-065/3
Publisher: 
Tinbergen Institute, Amsterdam and Rotterdam
Abstract: 
We empirically examine the heterogeneity in the effects of multiple dimensions of distance on trade across detailed product groups. Using finite mixture modeling on bilateral trade data at the 3-digit SITC level, we endogenously group product categories into an, a priori unknown, number of segments based on estimated coefficients of multiple dimensions of distance in the gravity equation. We find that institutional distance, whether countries belong to the same trade block and especially geographical distance are crucial and distinct factors to classify commodities in homogeneous groups.
Subjects: 
bilateral trade
gravity models
distance
institutions
product heterogeneity
finite mixture modeling
JEL: 
F14
F21
F23
Persistent Identifier of the first edition: 
Document Type: 
Working Paper

Files in This Item:
File
Size
385.5 kB





Items in EconStor are protected by copyright, with all rights reserved, unless otherwise indicated.