How does tariff-rate quota modelling affect CGE results? An application for MIRAGE
Yvan Decreux and
Maria Ramos
No 7206, Working Papers from TRADEAG - Agricultural Trade Agreements
Abstract:
Since the Uruguay Round Agricultural Agreement (URAA) entered into force in 1994, tariff-rate quotas (TRQs) have become the most widely used trade policy instrument to improve agricultural market access while at the same time controlling import volumes. Until now, the MIRAGE CGE model only takes into account the exogenous quota rents (MAcMap-HS6 database) allocated entirely to exporters. Unfortunately, this methodology does not authorise any regime when trade policy changes (e.g. a quota-volume increase for very sensitive agricultural products or a tariff reduction). In order to improve the treatment of TRQs in MIRAGE we model them as bilateral TRQs at the HS6 level using MAcMapHS6-v2 database. Assuming a simple scenario of bilateral trade agreement between the European Union and Mercosur, we test the previous TRQ modeling and we compare its results to the present version of MIRAGE (aggregation biases and TRQ modeling). The macroeconomic and trade results give us an idea of the biases introduced by the negligence of TRQ modeling.
Keywords: International; Relations/Trade (search for similar items in EconPapers)
Pages: 37
Date: 2007
References: View references in EconPapers View complete reference list from CitEc
Citations: View citations in EconPapers (13)
Downloads: (external link)
https://ageconsearch.umn.edu/record/7206/files/wp070016.pdf (application/pdf)
Related works:
Working Paper: How does Tariff-rate quota modelling affect CGE results?: an application for MIRAGE (2007) 
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:ags:tragwp:7206
DOI: 10.22004/ag.econ.7206
Access Statistics for this paper
More papers in Working Papers from TRADEAG - Agricultural Trade Agreements
Bibliographic data for series maintained by AgEcon Search ().