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SSRN Electronic Journal
Article . 2008 . Peer-reviewed
Data sources: Crossref
SSRN Electronic Journal
Article . 2008 . Peer-reviewed
Data sources: Crossref
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Non Tariff Barriers in Computable General Equilibrium Modelling

Authors: Marco Fugazza; Jean-Christophe Maur;

Non Tariff Barriers in Computable General Equilibrium Modelling

Abstract

With diminishing tariffs, the focus of trade policy makers and analysts is logically turning towards non-tariff barriers (NTBs), but there much remains to be done. It is well-known that tackling NTBs poses many challenges for the analyst because of their diverse and complex nature, and the lack of available evidence. NTBs pose also particular difficulties to computable/applied general equilibrium (CGE) modelling, traditionally more comfortable with policies whose impact can be interpreted into direct effects on prices. This research provides a quantification of the impact of NTBs at the global level. The model we use is significantly larger than in previous studies, and to our knowledge, the first truly global one. The main focus of this research, however, is to discuss and question the various treatments of NTBs in CGE models with a specific application of the Global Trade Analysis Project (GTAP) standard model, the workhorse of trade policy CGE analysis. We find that serious estimation and modelling efforts remain to be undertaken in order to make CGE modelling a useful policy tool to analyze NTBs. Casual policy inferences from loose specifications may indeed lead to serious analytical mistakes. We show that while using the same robust estimates of NTB incidence we obtain vastly different results under different model specifications.

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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!
9
Average
Average
Average
bronze