The aim of the paper is to investigate the use of online data and time series analysis, in order to study the dynamics of new types of research collaboration in a systematic way. Two international research teams were studied for more than 3 years, and quantitative data about their internet use...

We model aggregate delinquency behaviour for consumer credit (including credit card loans and other consumer loans) and for residential real estate loans using data up until 2008. We test for cointegrating relationships and then estimate short run error correction models. We find evidence to...

En este trabajo se aborda el empleo en turismo rural, pues es una actividad cada vez más importante en dicho entorno y, en muchos casos, complementa la renta de los agricultores, lo que también puede evitar la despo¬blación de estas áreas. Para realizar este estudio, se parte de un...

The People's Republic of China is one of the world's most popular tourist destinations. This paper reviews the development of the Chinese inbound tourism industry after the cultural revolution and analyses tourist flows from Japan, which is the most important short-haul inbound market for China....

We discuss the scientific contribution of Battaglia and Protopapas’ paper concerning the debate on global warming supported by an extensive analysis of temperature time series in the Alpine region. In the work, Authors use several exploratory and modelling tools for assessing and...

This paper examines the impact of airline alliances on traffic of the constituent airlines using an analysis of US Bureau of Transportation Statistics T-100 International Market Data on a monthly basis for five routes to the US from European hubs. The European hubs are Frankfurt and Paris. The...

Over the past two centuries, the life expectancy has more than doubled in many countries, for both males and females. The levels of the countries with the highest life expectancies have risen almost linearly. We exploit this regularity by using the classic univariate ARIMA model to forecast...