Although there is by now strong evidence that sovereign risk premia are driven by a common factor, little is known about the detailed linkages between sovereign bond markets. We employ the VAR method by Diebold and Yilmaz (2009) to analyse the strength and direction of bilateral linkages between...

We use the forecast-error variance decompositions from a VAR with daily sovereign bonds spreads since 2000 to detail the linkages between EU sovereign bond markets and banks over time. Using new summary statistics on the matrix of bilateral linkages, we show Spain is systemic for Europe. Its...

The inverse relationship between unemployment and Gross Domestic Product (GDP) growth, commonly known as Okun’s law, has been traditionally analysed in the economic literature. Its application for Spain has been carried out at the national level or for the autonomous communities but it has not...

The analysis of the relationship between tourism and human development points to a positive link between these activities, basically by means of the improvement of economic conditions. In the present study we analyze whether and to what extent this relationship remains positive under different...

This study attempts to improve the forecasting accuracy of tourism demand by using the existing common trends in tourist arrivals form all visitor markets to a specific destination in a multiple-input multiple-output (MIMO) structure. While most tourism forecasting research focuses on univariate...

The link between urban concentration and economic growth at country level is not straightforward, as there are benefits as well as costs associated with urban concentration. Indeed, recent empirical evidence suggests different effects of urban concentration on growth depending on the level of...

This study aims to analyze the effects of data pre-processing on the performance of forecasting based on neural network models. We use three different Artificial Neural Networks techniques to forecast tourist demand: a multi-layer perceptron, a radial basis function and an Elman neural network....

This paper uses Colombian micro-data to analyze the role of education and informality on regional wage differentials. Our hypothesis is that apart from differences in the endowment of human capital across regions, regional heterogeneity in the incidence of informality is another important source...

This study attempts to assess the forecasting accuracy of Support Vector Regression (SVR) with regard to other Artificial Intelligence techniques based on statistical learning. We use two different neural networks and three SVR models that differ by the type of kernel used. We focus on...

Despite extensive research, there is still controversy on the effects of income inequality on economic growth. The literature proposes several transmission channels through which these effects may take place, and even the existence of two different forms of inequality. However, empirical studies...