AHP-Group Decision Making: A Bayesian Approach Based on Mixtures for Group Pattern Identification

This paper proposes a Bayesian estimation procedure to determine the priorities of the Analytic Hierarchy Process (AHP) in group decision making when there are a large number of actors and a prior consensus among them is not required. Using a hierarchical Bayesian approach based on mixtures to describe the prior distribution of the priorities in the multiplicative model traditionally used in the stochastic AHP, this methodology allows us to identify homogeneous groups of actors with different patterns of behaviour for the rankings of priorities. The proposed procedure consists of a two-step estimation algorithm: the first step carries out a global exploration of the model space by using birth and death processes, the second concerns a local exploration by means of Gibbs sampling. The methodology has been illustrated by the analysis of a case study adapted from a real experiment on e-democracy developed for the City Council of Zaragoza (Spain). Partially funded under the research project Electronic Government. Internet-based Complex Decision Making: e-democracy and e-cognocracy (Ref. PM2004-052) approved by the Regional Government of Aragon (Spain) as part of the multi-disciplinary projects programme.     

Effects of economic variables on NPLs depending on the economic cycle

Late payments are a major problem for Spanish banks. This paper studies as determinants of loan delinquency: unemployment, interest rates, inflation, housi     

The economic consequences of corporate tax rates reductions in the EU: Evidence using a computable general equilibrium model

In a globalised world, governments are eager to attract foreign investors by lowering corporate tax rates. Recent trends point towards a revival of a race to the bottom in corporate income tax (CIT) rates in developed economies. EU countries have been active in this respect. A generalised fall in CIT rate could prove detrimental to tax revenues and trigger increase in other taxes to meet fiscal policy objectives. However, it could also spur investment and growth and prove to be a good fiscal policy strategy if, as a result, the corporate tax base increases. The final economic and fiscal impact of a reduction in CIT rates is therefore unclear. Using a CGE model, we find that uncoordinated tax reforms significantly impact national economies and third‐country effects can be significant when large countries implement CIT rate cuts. Small countries are better off unilaterally reducing their CIT rate at the expense of other EU countries. We find that negative spillovers are mitigated when the country reducing its CIT rate restores its budget balance by cutting either public expenditures or social transfers. A larger degree of non‐EU capital mobility also tends to reduce the negative spillover effects of unilateral CIT rate reductions.     

The Border Effect in Spain

This paper analyses the border effect in Spain using a unique dataset on intranational trade flows over the period 1995–98. The results indicate that, after controlling for market size and distance, Spanish regions trade around 22 times more with the rest of Spain than they do with OECD countries. Moreover, the size of the Spanish bias is lower in the case of the Spanish regions’ exports than in the case of imports, although the difference is not statistically significant in most cases. Finally, the border effect is not uniform across Spanish regions.     

Exchange rates and European countries’ export prices: An empirical test for asymmetries in pricing to market behavior

Exchange Rates and European Countries’ Export Prices: An Empirical Test for Asymmetries in Pricing to Market Behavior. — This paper uses forward instead of spot exchange rates to test for the presence of asymmetries in the response of export prices to exchange rate movements on a wide sample of European Union exporter countries and highly disaggregated product categories. In most cases, the data give support to the hypothesis of a symmetric pricing to market behavior during periods of depreciation and appreciation of the exporter’s currency.     

Aplicación de bicorrelación cruzada al rendimiento diario del precio del café

This paper uses the cross bicorrelation methodology, which can capture nonlinear trascendence periods through window functions and third-order moments. It applies to the return of four sets of commodities of coffee traded on the New York market (Arabica Colombian, mild Arabica, Arabica Brazilian and Other Arabicas), during the 20/06/1997 - 27/10/2010 period. The results conclude that there is a cross bicorrelation among the four series, with Brazilian type coffee being the leader and a lower bicorrelation with other Arabicas. This complicates decisions for investors in such series.     

European Periphery Crises,International Financial Markets,and Democracy

This article analyzes the origin and causes of the recent economic and financial crises, mainly for the countries located in the periphery of the European Union (EU), as well as their evolution and transformation into social, political, and institutional crises. After explaining the differential impact of the crises on EU economies, we analyze how the economic policies developed thus far not only are unable to resolve the current crisis pattern but also actually entail a risk to the present democratic models by transferring the legitimate control over governments from citizens and democratic parliaments to unelected, nonrepresentative international financial markets.     

Finding a Bowling Partner: The Role of Stakeholders in Activating Civil Society in Germany,Spain and the United Kingdom

An 'activism index', combining data on membership of civil associations and societies and the level of activism suggests that, notwithstanding cultural differences, civil activism in European countries could be a great deal higher than its current level. If higher civic participation is to be achieved, each stakeholder group within local governance can play an 'activation' role in relation to citizens, both as individuals and in relation to the voluntary organizations which represent citizens in their collective activities. In practice, different stakeholder groups play this role in widely differing ways in the contexts of Germany, Spain and the UK. In the future, we can expect the lead role in activating civil society in each country to be taken by different stakeholders, depending on the trust currently placed in them by other stakeholders in the community and by the resources which they command.     

Polychoric versus Pearson correlations in exploratory and confirmatory factor analysis of ordinal variables

Given that the use of Likert scales is increasingly common in the field of social research it is necessary to determine which methodology is the most suitable for analysing the data obtained; although, given the categorization of these scales, the results should be treated as ordinal data it is often the case that they are analysed using techniques designed for cardinal measures. One of the most widely used techniques for studying the construct validity of data is factor analysis, whether exploratory or confirmatory, and this method uses correlation matrices (generally Pearson) to obtain factor solutions. In this context, and by means of simulation studies, we aim to illustrate the advantages of using polychoric rather than Pearson correlations, taking into account that the latter require quantitative variables measured in intervals, and that the relationship between these variables has to be monotonic. The results show that the solutions obtained using polychoric correlations provide a more accurate reproduction of the measurement model used to generate the data.