Twin Peaks

Alejandro Riaño and Fabrice Defever

No 454, 2017 Meeting Papers from Society for Economic Dynamics

Abstract: This paper highlights a new stylized fact by documenting a great degree of heterogeneity in the distribution of export intensity across countries. Contrary to received wisdom from studies focusing on a single country, we show that export intensity distributions tend to exhibit modes at both ends of the support, a phenomenon that we refer to as `twin peaks'. Using a standard trade model with rm-destination specificc demand shifters we show that i) this feature directly results from heavy-tailed sale distributions ii) this feature (statistically) vanish for countries with large or small domestic market compared to their export market. Using publicly available firm-level data, we show that the model's structural parameters are easily estimated and can account for approximately 89 percent of cross-country variation in the distribution of export intensity. Our finding have many applications, notably with regards to volatility of firm's sales.

Date: 2017
New Economics Papers: this item is included in nep-int
References: View references in EconPapers View complete reference list from CitEc
Citations:

Downloads: (external link)
https://red-files-public.s3.amazonaws.com/meetpapers/2017/paper_454.pdf (application/pdf)

Related works:
Working Paper: Twin peaks (2017)
Working Paper: Twin Peaks (2017)
Working Paper: Twin Peaks (2017)
Working Paper: Twin peaks (2017)
Working Paper: Twin peaks (2017)
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:red:sed017:454

Access Statistics for this paper

More papers in 2017 Meeting Papers from Society for Economic Dynamics Society for Economic Dynamics Marina Azzimonti Department of Economics Stonybrook University 10 Nicolls Road Stonybrook NY 11790 USA. Contact information at EDIRC.
Bibliographic data for series maintained by Christian Zimmermann ().