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We present a novel sequential approach that explores the capacity of Computable general equilibrium (CGE) models to track down policy-induced economic changes and their ability to generate contrastable data. We use an empirical Social accounting matrix (SAM) of the region of Andalusia, in the south of Spain, to construct an initial CGE model. This model is then perturbed with a set of policy shocks related to EU Structural Funds invested into Andalusia. These shocks are accompanied by some parameter adjustments that pick up the main external changes not explained by the model. We generate a sequence of model-produced virtual SAMs. We then compare the last virtual SAM in the sequence with a new available empirical SAM. This allows us to check relatedness, for the same year, between the model produced and the empirical SAMs. The results show a good fit to the empirical data, providing further support to the CGE modelling tool. Copyright © 2016 John Wiley & Sons, Ltd. [ABSTRACT FROM AUTHOR]

Recent research shows a renewed interest in the properties of non-survey updates of input-output tables and social accounting matrices (SAM). Along with the scaling RAS method, new procedures related to entropy minimization and other metrics have been examined. Whether they will replace or complement the RAS method is an open question. The performance of the updating procedures has been tested with proximity measures to a reference input-output table or SAM, but we look at the performance of three updating mechanisms by comparing the simulation results from adopting alternative databases for the calibration of a reference CGE model. [ABSTRACT FROM AUTHOR]

Unlike traditional impact analysis, that measures the influence of a sector, or a set of like sectors, on the overall economy, we present in this note a simple reverse procedure that attempts to quantify the impact of activity changes in the overall regional economy over a specific subset of firms. We apply the procedure to a specific enclave of the chemical and basic industry sectors, which has been and still is of special significance for the development of the region. Because we feel that interdependency effects should be adequately captured, we rely on a 1995 regional social accounting matrix (SAM) of Andalusia, Spain, to establish the empirical structural support for the analysis. We proceed by setting up a linear SAM model to obtain extended multipliers, then we decompose them in three categories of effects (direct, indirect, and induced) under different hypotheses about the classification of endogenous and exogenous sectors. The decomposed multipliers are then apportioned to measure and distinguish the effects on the economic enclave. The results are seen to be quite robust to the exogeneity assumptions. [ABSTRACT FROM AUTHOR]

The disaggregated nature of a Social Accounting Matrix makes it a suitable tool for studying the income generation process and its distributional effects. Using the linear structure of a SAM, a model for distributional analysis is developed. The proposed approach emphasizes the functional determinants of relative incomes and the underlying structural features of income distribution and redistribution. [ABSTRACT FROM AUTHOR]