2002 Pew Global Attitudes survey shows that workers' support for free trade decreases with age. The relation between age and supporting free trade is a phenomenon previously unexplored by economists. We study distributional effects of trade liberalization, in particular age and gains from free...

This paper aims at modeling a global CGE trade model for the EU15 subnational regions. This model is used to assess production reallocation across sectors in each EU15 region, assuming a scenario in which world tariff liberalization is implemented in the agricultural sector. The model is...

In this paper we calibrate two static computable general equilibrium (CGE) models with respectively 16 and 5,999 representative households. Aggregated and disaggregated household categories are consistently embedded in a 2000 social accounting matrix for Vietnam, mapping on a one-to-one basis to...

The main objective of this paper is to assess the potential effects of the WTO agreements on income distribution and welfare in Côte d'Ivoire. For this purpose, a dynamic CGE model is used to analyze the impacts of three scenarios ranging from partial and complete unilateral trade...

The paper uses a micro-simulation computable general equilibrium (CGE) model to study the impact on poverty of trade liberalisation in Zimbabwe. The model incorporates 14006 households derived from the 1995 Poverty Assessment Study Survey (PASS). The novelty of this paper is that it is one among...

On May 5, 2020, the U.S. Trade Representative announced plans to negotiate a free trade agreement with the United Kingdom. We use GTAP to model the economic impacts of this free trade agreement, exclusively focusing on the bilateral tariff elimination. We find that a standard GTAP model leads to...

We argue that the rationalization gains often predicted by static applied general equilibrium models with imperfect competition and scale economies are artificially boosted by an unrealistic treatment of fixed costs. We introduce sunk costs into one such model calibrated with real-world data. We...