ON THE ACCURACY OF CGE FORECASTS IN EXPANSION AND RECESSION: SPAIN 1990–1997

A recursive dynamic disaggregated computable general equilibrium model of the Spanish economy is used to compare the model predictions of endogenous variables with their observed values over the period 1991–1997. It includes 12 producers, 12 households, government and 2 external sectors. There are four types of labour and real wages that depend on unemployment rates. Private investment is determined by private savings and public and external surpluses. Domestic products and imports are imperfect substitutes. All exogenous variables and tax parameters are updated every year with the best available information. The model provides rather accurate predictions in 1991, a normal year, but it underestimates the intensity of the 1992–1993 recession. It also predicts dramatic reversals of trade balances in response to devaluations. These results suggest both that investment savings-driven models provide useful insights in the medium term but underestimate the consequences of downturns, and that Armington's elascitities typically assumed may be too large.     

USING A CGE MODEL TO IDENTIFY THE POLICY TRADE-OFF BETWEEN UNEMPLOYMENT AND INFLATION. THE EFFICIENT PHILLIPS CURVE

This paper provides a new reading of a classical economic relation: the short-run Phillips curve. Our point is that, when dealing with inflation and unemployment, policy-making can be understood as a multicriteria decision-making problem. Hence, we use so-called multiobjective programming in connection with a computable general equilibrium (CGE) model to determine the combinations of policy instruments that provide efficient combinations of inflation and unemployment. This approach results in an alternative version of the Phillips curve labelled as efficient Phillips curve. Our aim is to present an application of CGE models to a new area of research that can be especially useful when addressing policy exercises with real data. We apply our methodological proposal within a particular regional economy, Andalusia, in the south of Spain. This tool can give some keys for policy advice and policy implementation in the fight against unemployment and inflation.     

MEASURING SPILLOVER EFFECTS OF SHOCKS TO THE ALASKA ECONOMY: AN INTER-REGIONAL SOCIAL ACCOUNTING MATRIX (IRSAM) MODEL APPROACH

An inter-regional social accounting matrix (IRSAM) model is used to estimate the spillover effects occurring between economies of two US regions – (i) Alaska, which depends heavily on imports of commodities and factors of production from outside the region, and (ii) the rest of the US (RoUS). Multiplier decomposition is used to calculate intra-regional multipliers and spillover effects between the two regions. Results show that a significant percentage (46.3–70.8%) of the total secondary impacts of a shock to Alaskan industries leaks out of Alaska and flows to the RoUS. An analysis of household multipliers indicates that over 60% of the total secondary effects of an increase in Alaska household income accrues to the RoUS households. Policymakers are concerned with identifying the magnitude, nature, and geographic distribution of economic impacts from the policies they implement. The IRSAM model provides the framework for a better understanding of the intra-regional and spillover effects of policies.     

Global Warming Policy and the Pennsylvania Economy: A Computable General Equilibrium Analysis

Most studies of the impacts of global warming policy have been performed at the national level. However, national averages obscure the fact that some regions may be affected much more than others. We formulated a regional computable general equilibrium model to analyze the impact of a carbon tax on the Pennsylvania economy. The model incorporates special features relating to labor mobility, trade and energy substitution for this purpose. Our results indicate significant negative overall impacts on the Pennsylvania economy, primarily because it is a major producer and user of fossil fuels, especially coal, and because it is highly industrialized. Sensitivity analyses on key parameters and model assumptions indicate that our results are robust.     

THE TRANSPORT SECTOR AND REGIONAL PRICE DIFFERENTIALS: A SPATIAL CGE MODEL FOR CHINESE PROVINCES

With regression formulas replaced by equilibrium conditions, a spatial CGE (Computable General Equilibrium) model can substantially reduce data requirements. Detailed regional analyses are thus possible in countries where only limited regional statistics are available. Alhough regional price differentials play important roles in multiregional settings, transport does not receive much attention in existing models. This paper formulates a spatial CGE model that explicitly considers the transport sector and FOB/CIF prices. After describing the model, the performance of our model is evaluated by comparing the benchmark equilibrium for China with a survey-based interregional I-O table for 1987. The structure of Chinese economies is summarized using information obtained from the benchmark equilibrium computation. This includes regional and sectoral production distributions and price differentials. The equilibrium for 1997 facilitates discussion of changes in regional economic structures that China has experienced in the decade.