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.     

Welfare and sectoral productivity shifts in a small open economy with imported agricultural inputs: The case of Sub-Saharan Africa

This paper studies the impact of sectoral productivity growth on welfare in Sub-Saharan Africa. Using the analytical framework of a DSGE model, the main finding is that, for the estimated values of structural parameters, the allocation of scarce resources to the tradable agricultural sector for boosting productivity leads to a greater increase in overall welfare than would be the case if they were allocated to the non-traded goods sector.

     

Sustainable finance: The role of savings and credit cooperatives in Ecuador

The current world situation leads us to consider that sustainable development needs to be a global priority to ensure the future of the planet and improve the quality of life. There is a need for sustainable finance to support this. Savings and credit cooperatives could help to achieve this impact as they serve the microfinance and microlending market. They facilitate the financial inclusion of the most vulnerable people, most of whom live in rural areas and are members of organizations, such as agricultural cooperatives and associations. Previous studies have focused exclusively on overall profitability, so this paper contributes to extending the literature by analyzing the whole population of savings and credit cooperatives in Ecuador (510 institutions), focusing on their profitability in two ways: the overall profitability necessary for the viability of the business and, in addition, the microcredit portfolio profitability, as a specific measure of its contribution to sustainability and social value creation. Another novelty is that the analysis has been carried out using several machine learning techniques for the wider generalization of the results. These show that size is the most relevant variable for predicting the ROE and that the microcredit portfolio profitability is conditioned by the credit variables.