This doctoral dissertation proposes methodologies which, from a linear or a non-linear approach, accommodate to the information flow and can deal with a large amount of data. The empirical application of the proposed methodologies contributes to answer some of the questions that have emerged or that it has potentiated after the 2008 global crisis. Thus, essential aspects of the macroeconomic analysis are studied, like the identification and forecast of business cycles turning points, the business cycles interactions between countries or the development of tools able to forecast the evolution of key economic indicators based on new data sources, like those which emerge from search engines.
| Identifer | oai:union.ndltd.org:ua.es/oai:rua.ua.es:10045/71346 |
| Date | 03 July 2017 |
| Creators | Pacce, Matías José |
| Contributors | Camacho Alonso, Máximo Cosme, Pérez-Quirós, Gabriel, Universidad de Alicante. Departamento de Fundamentos del Análisis Económico |
| Publisher | Universidad de Alicante |
| Source Sets | Universidad de Alicante |
| Language | English |
| Detected Language | English |
| Type | info:eu-repo/semantics/doctoralThesis |
| Rights | Licencia Creative Commons Reconocimiento-NoComercial-SinObraDerivada 4.0, info:eu-repo/semantics/openAccess |
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