The differences in the regional unemployment rates, as well as their formation mechanism and persistence, have given rise to a great number of papers in the last decades. This work contributes to that strand of literature from two different perspectives. In the first part of our work, we follow the methodological proposal established by Hofler and Murphy (1989) and Aysun et al. (2014). We make use of an estimation of a stochastic cost frontier to breakdown the Spanish provincial effective unemployment (NUTS-3) in two different components: first one associated with aggregate supply side factors, and the other one more related to the aggregate demand side factors. The second part of our research analyzes the existence of spatial dependence patterns among the Spanish provinces in the effective unemployment and in both above mentioned components. The decomposition performed in the first part of our research will let us know the margin that the policymakers have when they deal with unemployment reductions by means of aggregate supply and aggregate demand policies. Finally, the spatial analysis of the unemployment rates amongst the Spanish provinces can potentially have also significant implications from an economic policy viewpoint since we find that there are common formation patterns or clusters of unemployment.

The relationship between labour force participation and the business cycle is a common topic in economic literature. However, few studies have examined if the cyclical sensitivity of labour force participation is influenced by social effects. In this paper, we construct a theoretical model defining a relatively new hypothesis, the bandwagon worker effect (BWE). We use spatial econometrics techniques to test the existence of the BWE in the local labour markets in Spain. Our results reveal a positive spatial dependence in the cyclical sensitivity of labour force participation that decreases as we fix a laxer neighbourhood criterion, which verifies the existence of the BWE.

The main goal of the present work is to split effective unemployment into two components, one dealing with the natural rate of unemployment, and another with cyclical unemployment. With this purpose in mind, an estimation of stochastic cost frontiers is performed where natural unemployment is identified as a lower limit and cyclical unemployment as the deviation of effective unemployment with regard to that limit. To achieve this purpose, information is used from the 17 autonomous communities in Spain over the period spanning 1982 to 2013. Results evidence a greater importance of the natural component as the principal determinant of effective unemployment at a regional scale. The latter part of the work compares stochastic frontier estimations to those obtained when applying univariate filters, which are in widespread use in economic literature. The main conclusion to emerge is that the proposed decomposition modifies the weight distribution amongst the various types of unemployment, increasing the importance of cyclical unemployment. This finding has significant implications for economic policy, such as the existence of a greater margin for aggregate demand policies in order to reduce cyclical unemployment, particularly during growth periods.