This paper develops a model of foreign direct investment (FDI) in a computable general equilibrium (CGE) framework by distinguishing between the activities of domestic and foreign-owned firms in both production and demand. Using a variant of the Armington assumption, the model is implemented by...

We highlight an example of considerable bias in officially published input-output data (factor-income shares) by an LDC (Turkey), which many researchers use without question. We make use of an intertemporal general equilibrium model of trade and production to evaluate the dynamic gains for...

We analyse the general equilibrium effects of an asymmetric decrease in transport costs, combining a large scale spatial dynamic general equilibrium model for 267 European NUTS 2 regions with a detailed transport model at the level of individual road segments. As a case study we consider the...

This paper investigates the robustness of CGE models with respect to the elasticities of substitution in demand between domestically produced goods and foreign goods – the so-called Armington elasticities. The Armington-type modeling of trade is still one of the most extensively used...

This paper reports the application of our new spatial computable general equilibrium (SCGE) model for analyzing the wider effects of strategic transport and land use development options. We examine the insights afforded by a SCGE model relative to those provided by existing land use and...

This paper presents an empirical exercise, aimed at investigating the implications on poverty and income distribution of a reference scenario (SSP2) of economic development. It does so by coupling a dynamic general equilibrium model of the global economy, specifically designed to capture...

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...