Overview of the GTAP data base

Gehlhar, Mark J.; Gray, Denice; Hertel, Thomas W.; Huff, Karen; Ianchovichina, Elena; McDonald, Bradley J.; McDougall, Robert; Tsigas, Marinos; Wigle, Randall

doi:10.1017/cbo9781139174688.004

Cited by 24 publications

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“…The data and model used for the analyses reported here derive from the Global Trade Analysis Project (GTAP). The heart of the GTAP is its database (Dimaranan and McDougall, 2006) that contains a fully articulated record of trade transactions and duties between different regions for a range of commodities (see Gehlhar et al, 1997). The number of regions and commodities has increased steadily with each release of the database, such that the GTAP database version 5.4 has data for 78 regions and 57 commodities.…”

Section: Data and Modelmentioning

confidence: 99%

Bilateral Free Trade Agreements and Customs Unions: The Impact of the EU Republic of South Africa Free Trade Agreement on Botswana

McDonald

Walmsley

2008

World Economy

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The EU has indicated that after 2008 its trade relationships with developing countries will be dominated by the development of preferential trade agreements. Although not a consequence of the Cotonou Agreement, the free trade agreement between the EU and the Republic of South Africa (EU RSA FTA) is clearly one of the first fruits of this approach to trade relationships. However, there is no evidence that the design of the EU RSA FTA incorporated a comprehensive general equilibrium evaluation of the agreement for either the signatories or the other southern African nations. The analyses reported here indicate that while the EU RSA FTA may substantially benefit the signatories, there are appreciable negative impacts for other states, especially the RSA's immediate neighbours. Moreover, the reluctance of the EU to fully liberalise trade in food and agriculture commodities results in a major reduction in the benefits for the RSA without ameliorating substantively the adverse implications for other nations.

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Section: Data and Modelmentioning

confidence: 99%

Bilateral Free Trade Agreements and Customs Unions: The Impact of the EU Republic of South Africa Free Trade Agreement on Botswana

McDonald

Walmsley

2008

World Economy

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“…Except for tariff data discussed below, the data employed to calibrate the model come primarily from the GTAP database for 1992 (Version 2) documented in Gehlhar et al . (1997).…”

Section: A Multi‐regional Trade Modelmentioning

confidence: 99%

Quantifying the Uruguay Round

Harrison

Rutherford

Tarr

1997

The Economic Journal

247

102

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The effects of the Uruguay Round are quantified using a numerical general equilibrium model which incorporates increasing returns to scale,  regions,  commodities, and steady state growth effects. We conclude that the aggregate welfare gains from the Round are in the order of $ billion per year in the short run, but could be as high as $ billion per year in the long run after capital stocks have optimally adjusted. Despite these global gains, we identify some developing countries that lose from the Round in the short run. In the long run, almost all gain, and the Round will allow developing countries to gain further through their own unilateral liberalisation. .  -  We begin with a presentation of our ' base ' model, which is static CRTS with  regions and  production sectors in each region, listed in Table . In order to assess the consequences of regional aggregation, for some simulations we also employ a -region aggregation of the base model.Except for tariff data discussed below, the data employed to calibrate the model come primarily from the GTAP database for  (Version ) # Royal Economic Society     [ " The elasticities of substitution for these value added production functions are taken from Harrison, Rutherford and Wooton ( ; table , p. ), which are unpublished estimates by Harrison, Jones, Kimbell and Wigle () from time-series data for the United Stated between  and . Contrary to many of the estimates employed in the CGE literature, the econometric specification used in this case corresponds to the functional form assumed in the model. # The available econometric evidence suggests values which are much lower than these (see Reinert and Roland-Holst () and Shiells and Reinert ()). But elasticities would be expected to increase over time, and this model assesses an adjustment of about  years, a rather long period in the context of these econometric estimates. # Royal Economic Society     [ ) We report welfare as a percentage of full GDP, where GDP is derived from the GTAP database. In Harrison, Rutherford and Tarr () welfare changes were reported as a percentage of private consumption, and hence were therefore somewhat higher. # Royal Economic Society  "! See Yongzheng et al. () and Tarr () for formal derivations of the welfare analysis. "" This is likely an overestimate of LDC quota rent losses from MFA elimination to the extent that it ignores rent dissipation costs in LDCs associated with these quota rents. See Hamilton (), Trela and Whalley ( b) and Tarr () for applied discussions of rent dissipation.

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“…3 In order to operationalize this empirical model, we draw on the Global Trade Analysis Project database (Hertel, 1997). This is well-suited to analysis of the differential gains from trade, since it incorporates bilateral international trade and transport margins which have been estimated as part of a general set of procedures for reconciling reported imports and exports (Gehlhar et al, 1997). Manufacturing tariff rates are obtained from the GATT/WTO, while farm and food protection information is obtained from the OECD and USDA.…”

Section: Empirical Modelmentioning

confidence: 99%

Why Do the Gains from Trade Reform Vary Between Countries?

Hertel

McCorriston

1999

Rev International Economics

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This paper assesses, both theoretically and empirically, the determinants of differential gains from trade policy reform across countries. The theoretical model shows that asymmetrical features of the world economy, including the relative size of the differentiated products sector in each country, the dominance of domestic markets by indigenous producers, trade costs, and the relative importance of exports, all play an important role. Results from a multi-region computable general equilibrium model substantiate the proposition that the initial pattern of asymmetry is relatively more important than scale and varietal effects, despite the fact that the latter have received more attention in the literature.

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Overview of the GTAP data base

Cited by 24 publications

References 0 publications

Bilateral Free Trade Agreements and Customs Unions: The Impact of the EU Republic of South Africa Free Trade Agreement on Botswana

Bilateral Free Trade Agreements and Customs Unions: The Impact of the EU Republic of South Africa Free Trade Agreement on Botswana

Quantifying the Uruguay Round

Why Do the Gains from Trade Reform Vary Between Countries?

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