seasonal unit roots
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2019 ◽  
Vol 36 (12) ◽  
pp. 2257-2266
Author(s):  
Luis A. Gil-Alana ◽  
Manuel Monge ◽  
María Fátima Romero Rojo

AbstractThis paper addresses analysis of the global monthly sea surface temperatures using a reconstructed dataset that goes back to 1884. We use fractional integration methods to examine features such as persistence, seasonality, and time trends in the data. The results show that seasonality is a relevant issue, finding evidence of seasonal unit roots. With the seasonal component removed, persistence is also very significant, and, when looking at the data month by month, evidence of significant linear trends is detected in all cases. According to these results, monthly sea surface temperatures increase by between 0.07° and 0.11°C every 100 years.


2017 ◽  
Vol 61 (2) ◽  
pp. 304-323 ◽  
Author(s):  
José Juan Cáceres-Hernández ◽  
Gloria Martín-Rodríguez

2015 ◽  
Vol 44 (24) ◽  
pp. 5204-5212 ◽  
Author(s):  
Tomás del Barrio Castro ◽  
Andreu Sansó Rossello

2014 ◽  
Vol 178 ◽  
pp. 243-258 ◽  
Author(s):  
Marcus J. Chambers ◽  
Joanne S. Ercolani ◽  
A.M. Robert Taylor

2013 ◽  
Vol 10 (2) ◽  
pp. 256-269 ◽  
Author(s):  
Esman Nyamongo ◽  
Niek Schoeman ◽  
Moses Sichei

This paper investigates the nexus between government expenditure and government revenue in South Africa within the framework of a vector autoregressive (VAR) approach. It uses the Hylleberg et al. (1990) method to test for seasonal unit roots and finds that government revenue and government expenditure have unit roots at all frequencies. The Johansen procedure test results reveal that these variables are cointegrated. It is further established that revenue and expenditure are linked bidirectionally by Granger causality in the long-run, while there is no evidence of Granger causalityin the short-run in South Africa.


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