Social Services in Times of Economic and Social Crisis: The case of Spain

The financial and economic crisis which originated in 2008 has had a severe impact on the population of the Southern European countries. The economic policies of austerity and public deficit control, as well as the neo-liberal and conservative social policies are redefining the public social protection systems, in particular the Social Services. In order to get to understand the current situation, we shall explain how the Social Services were developed in Spain and analyse the causes and consequences of the economic crisis. The working hypothesis is that the greater the increase on the population’s needs, the more developed the Social Services should be. We carried out a descriptive analysis of the situation as far as the social impacts of the crisis per region are concerned. We tested the hypothesis through a parametric model of analysis of variance (one-way ANOVA) triangulating with the non-parametric Kruscal-Wallis test. The working hypothesis failed. The regions with better developed Social Services show a lower level of poverty and social exclusion. The challenges that the public Social Services system faces in times of crisis is three-fold: 1) re-modelling of local administration and transferring of the municipal Social Services responsibilities to the regional administration; 2) an increase of the population at risk of poverty and social exclusion 3) impact on social policies.

Parametric & nonparametric approaches to event studies: an application to a hotel’s market value

The main objective of this paper is twofold: on the one hand, to analyse the impact that the announcement of the opening of a new hotel has on the performance of its chain by carrying out an event study, and on the other hand, to compare the results of two different approaches to this method: a parametric specification based on the autoregressive conditional heteroskedasticity models to estimate the market model, and a nonparametric approach, which implies employing Theil’s nonparametric regression technique, which in turn, leads to the so-called complete nonparametric approach to event studies. The results that the empirical application arrives at are noteworthy as, on average, the reaction to such news releases is highly positive, both approaches reaching the same level of significance. However, a word of caution must be said when one is not only interested in detecting whether the market reacts, but also in obtaining an exhaustive calculation of the abnormal returns to further examine its determining factors.