Improving the European input–output database for global trade analysis

Abstract

During the last 25 years, an increasing number of academic articles and policy reports applying input-output analysis and multisectoral modelling have used the GTAP databases. GTAP (Global Trade Analysis Project) is a global network of researchers and policy-makers conducting quantitative analysis of international policy issues. GTAP's goal is to improve the quality of quantitative analysis of global economic issues within an economy-wide framework (https ://www.gtap.ageco n.purdu e.edu/). 1 Recent applications 2 span areas ranging from carbon emission and climate change (Weber and Mat

Sustainability impact assessments of free trade agreements

“…While differential employment effects are often found to be limited, as women's employment is concentrated in sectors less directly connected to trade, notably in public services (Rueda-Cantuche et al, 2019 [49]), available evidence illustrates that trade liberalisation and international competition will not automatically generate increased employment opportunities and improved wages and labour conditions for women. Positive labour effects are highly dependent on the sectors that expand or contract in each partner country, while gender effects of greater trade integration vary greatly depending on the stage of development and related socioeconomic institutions of the countries involved (Fontana, 2016[50]).…”

“…Although the micro-level household and labour survey data needs to be tabulated to fit the CGE specifications, it is not required for these data to be available for all the countries analysed in the CGE model, but only for the particular country or countries for which the labour-and group-specific analyses is performed. 49 The use of micro-level household data, in addition, allows for detailed income distribution (Gini coefficient) and poverty analysis. It also can be used to assess quantitatively the trade impacts on vulnerable populations and groups, which can be divided by income, skill, age, gender and geographical location, among others.…”

“…The standard approach is to assume employment follows projections of the working-age population, combined with assumptions on medium-and long-term 48 See Bourguignon and Bussolo (2013 [88]) for a review of approaches to integrating CGE models with microsimulation frameworks. 49 Labour market data used Canada's labour market module is sourced from Statistics Canada's Survey of Labour and Income Dynamics, Annual Demographic Estimates, and the Census. The United States' analysis of labour market effects of USMCA rely on the Current Population Survey (CPS), a representative sample of 65 000 US households, the National Survey of Occupation and Employment (ENOE), a quarterly survey of over 120 000 Mexican households and the Labour Force Survey (LFS), a monthly representative survey of 54 000 households across Canada.…”