The goal of this paper is twofold: first, we aim to assess the role played by inventors’ cross-regional mobility and collaborations in fostering knowledge diffusion across regions and subsequent innovation. Second, we intend to evaluate the feasibility of using mobility and co-patenting...

The purpose of this paper is to assess the extent to which regions’ absorptive capacity determines knowledge flows’ impact on regional innovation intensity. In particular, it looks at the role of the cross-regional co-patenting and mobility of inventors in fostering innovation, and how...

This paper aims to analyse cooperation in R&D in the automobile industry in Spain. It first examines to what extent firms cooperate with external actors in the field of technological innovation, and if so, with what type of cooperation partner, paying special attention to the differentiation...

In this document we present the methodological approach for a Multiple State Actuarial Model in the marital status context. We obtain transition probabilities between married – widower statuses for an individual aged x. Such probabilities are used in the assessment of the expected value for...

We present a methodology to forecast mortality rates and estimate longevity and mortality risks. The methodology uses Generalized Dynamic Factor Models fitted over the differences of the log-mortality rates. We compare prediction performance with models previously proposed in the literature,...

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....