An Overview of the GTAP 9 Data Base
Angel Aguiar Román (),
Badri G Narayanan () and
Journal of Global Economic Analysis, 2016, vol. 1, issue 1, 181-208
This paper provides an overview of the Global Trade Analysis Project (GTAP) Data Base and its latest release, version 9. The GTAP Data Base has been used in thousands of economy-wide analyses over the past twenty-five years. While initially focused on supporting trade policy analysis, the addition of satellite accounts pertaining to greenhouse gas emissions and land use has resulted in a surge of applications relating to climate change as well as other environmental issues. The Data Base comprises an exhaustive set of accounts measuring the value of annual flows of goods and services with regional and sectoral detail for the entire world economy. These flows include bilateral trade, transport, and protection matrices that link individual country/regional economic datasets. Version 9 disaggregates 140 regions, 57 sectors, 8 factors of production, for 3 base years (2004, 2007 and 2011). The great success enjoyed by this Data Base stems from the collaboration efforts by many parties interested in improving the quality of economic analysis of global policy issues related to trade, economic development, energy and the environment.
Keywords: GTAP; Data; Base (search for similar items in EconPapers)
References: View references in EconPapers View complete reference list from CitEc
Citations: View citations in EconPapers (99) Track citations by RSS feed
Downloads: (external link)
This item may be available elsewhere in EconPapers: Search for items with the same title.
Export reference: BibTeX
RIS (EndNote, ProCite, RefMan)
Persistent link: https://EconPapers.repec.org/RePEc:gta:jnlgea:v:1:y:2016:i:1:p:181-208
Access Statistics for this article
More articles in Journal of Global Economic Analysis from Center for Global Trade Analysis, Department of Agricultural Economics, Purdue University Contact information at EDIRC.
Bibliographic data for series maintained by Jeremy Douglas ().