The Great Trade Collapse: An Evaluation of Competing Stories
Hakan Yilmazkuday
No 1902, Working Papers from Florida International University, Department of Economics
Abstract:
The reduction in international trade has been more than the reduction in economic activity during the 2008 financial crisis, against the one-to-one relationship between them implied by standard trade models. This so-called the great trade collapse (GTC) has been investigated extensively in the literature resulting in alternative competing stories as potential explanations. By introducing and estimating a dynamic stochastic general equilibrium model using eighteen quarterly series from the U.S., including those that represent the competing stories, this paper evaluates the contribution of each story to GTC. The results show that retail inventories have contributed the most to the collapse and the corresponding recovery, followed by protectionist policies, intermediate-input trade, and trade finance. Productivity and demand shocks have played negligible roles.
Keywords: Trade Collapse; Inventories; Intermediate Inputs; Trade Finance; Protectionist Policies (search for similar items in EconPapers)
JEL-codes: E32 F12 F41 (search for similar items in EconPapers)
Pages: 52 pages
Date: 2019-08
New Economics Papers: this item is included in nep-dge, nep-int and nep-mac
References: View references in EconPapers View complete reference list from CitEc
Citations:
Downloads: (external link)
https://economics.fiu.edu/research/pdfs/2019_working_papers/1902.pdf First version, 2019 (application/pdf)
Related works:
Journal Article: THE GREAT TRADE COLLAPSE: AN EVALUATION OF COMPETING STORIES (2021) 
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:fiu:wpaper:1902
Access Statistics for this paper
More papers in Working Papers from Florida International University, Department of Economics Contact information at EDIRC.
Bibliographic data for series maintained by Sheng Guo ().