Authors

• Luis A. Gil-Alana (alana@unav.es)
  Facultad de Ciencias Económicas y Empresariales, Universidad de Navarra

Abstract
This paper deals with the estimation of time trends in temperature anomaly series. However, instead of imposing that the estimated residuals from the time trends are I(0) stationary, we allow them to be fractionally integrated. In this context, a new procedure for testing fractional integration with segmented trends is applied to the northern, southern and global temperature anomaly series. The results show that the three series are fractinally integrated, and the warming effects are substantially higher after the break in all cases.

Number of Pages:31

Creation Date:2009-11-01

Number:null/09