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image/svg+xml Jakob Voss, based on art designer at PLoS, modified by Wikipedia users Nina and Beao Closed Access logo, derived from PLoS Open Access logo. This version with transparent background. http://commons.wikimedia.org/wiki/File:Closed_Access_logo_transparent.svg Jakob Voss, based on art designer at PLoS, modified by Wikipedia users Nina and Beao World Economyarrow_drop_down
image/svg+xml Jakob Voss, based on art designer at PLoS, modified by Wikipedia users Nina and Beao Closed Access logo, derived from PLoS Open Access logo. This version with transparent background. http://commons.wikimedia.org/wiki/File:Closed_Access_logo_transparent.svg Jakob Voss, based on art designer at PLoS, modified by Wikipedia users Nina and Beao
World Economy
Article . 2020 . Peer-reviewed
License: Wiley Online Library User Agreement
Data sources: Crossref
EconStor
Research . 2017
Data sources: EconStor
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Vertical specialisation and gains from trade

Authors: Alexander, Patrick;

Vertical specialisation and gains from trade

Abstract

AbstractMulti‐stage production is a significant source of gains from trade in many recent quantitative trade models. Meanwhile, specialisation across stages of production, or ‘vertical specialisation’, has been largely ignored in these models. In this paper, I provide evidence that vertical specialisation is a salient feature in the international trade data, which suggests that standard models are inaccurate. I develop a model with multi‐stage production where country‐level productivity differences provide a basis for vertical specialisation and potentially new gains from trade. I then quantify the gains from vertical specialisation according to the model using data. Despite the evidence of vertical specialisation in the data, I find that the average gains from trade due to this channel are modest at less than 1% of GDP. These results suggest that, if vertical specialisation is an important source of gains from trade, then revealing these gains may require either more complex models, or more granular data, than are typically used in workhorse quantitative trade models.

Related Organizations
Keywords

F60, ddc:330, F14, Trade integration, International topics, F11, Economic models

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selected citations
These citations are derived from selected sources.
This is an alternative to the "Influence" indicator, which also reflects the overall/total impact of an article in the research community at large, based on the underlying citation network (diachronically).
BIP!Citations provided by BIP!
popularity
This indicator reflects the "current" impact/attention (the "hype") of an article in the research community at large, based on the underlying citation network.
BIP!Popularity provided by BIP!
influence
This indicator reflects the overall/total impact of an article in the research community at large, based on the underlying citation network (diachronically).
BIP!Influence provided by BIP!
impulse
This indicator reflects the initial momentum of an article directly after its publication, based on the underlying citation network.
BIP!Impulse provided by BIP!
6
Top 10%
Average
Top 10%
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