Global mean sea level. time trends and persistence with long range dependent data
Global mean sea level data are examined in this work by looking at the presence of time trends in the context of long memory or long range dependent processes. By looking at both seasonal signals retained and seasonal signals removed data from 1992 to 2020, the results show that the two series displ...
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| Tipo de recurso: | artículo |
| Fecha de publicación: | 2021 |
| País: | España |
| Institución: | Universidad de Navarra |
| Repositorio: | Dadun. Depósito Académico Digital de la Universidad de Navarra |
| Idioma: | inglés |
| OAI Identifier: | oai:dadun.unav.edu:10171/110939 |
| Acceso en línea: | https://hdl.handle.net/10171/110939 |
| Access Level: | acceso abierto |
| Palabra clave: | C12 K32 Q54 Sea level Time trend Fractional integration Long memory JEL classification Nonstationarity |
| Sumario: | Global mean sea level data are examined in this work by looking at the presence of time trends in the context of long memory or long range dependent processes. By looking at both seasonal signals retained and seasonal signals removed data from 1992 to 2020, the results show that the two series display significant time trend coefficients and high levels of persistence. |
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