US Sea Level Data: Time Trends and Persistence

23 Pages Posted: 14 May 2020

See all articles by Guglielmo Maria Caporale

Guglielmo Maria Caporale

Brunel University London - Department of Economics and Finance; London South Bank University; CESifo (Center for Economic Studies and Ifo Institute); German Institute for Economic Research (DIW Berlin)

Luis A. Gil-Alana

University of Navarra - Department of Economics

Laura Sauci

affiliation not provided to SSRN

Date Written: 2020

Abstract

This paper analyses US sea level data using long memory and fractional integration methods. All series appear to exhibit orders of integration in the range (0, 1), which  implies long-range dependence; further, significant positive time trends are found in the case of 29 stations located on the East Coast and the Gulf of Mexico, and negative ones in the case 4 stations on the North West Coast, but none for the remaining 8 on the West Coast. The highest degree of persistence is found for the West Coast and the lowest for the East Coast.

Keywords: sea level, time trends, fractional integration

JEL Classification: C210, Q540

Suggested Citation

Caporale, Guglielmo Maria and Gil-Alana, Luis A. and Sauci, Laura, US Sea Level Data: Time Trends and Persistence (2020). CESifo Working Paper No. 8274, Available at SSRN: https://ssrn.com/abstract=3598759 or http://dx.doi.org/10.2139/ssrn.3598759

Guglielmo Maria Caporale (Contact Author)

Brunel University London - Department of Economics and Finance ( email )

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HOME PAGE: http://www.brunel.ac.uk/about/acad/bbs/bbsstaff/ef_staff/guglielmocaporale/

London South Bank University ( email )

Centre for Monetary and Financial Economics
London
United Kingdom

CESifo (Center for Economic Studies and Ifo Institute)

Poschinger Str. 5
Munich, DE-81679
Germany

German Institute for Economic Research (DIW Berlin) ( email )

Mohrenstraße 58
Berlin, 10117
Germany

Luis A. Gil-Alana

University of Navarra - Department of Economics ( email )

Campus de Arrosadia
Pamplona, 31006
Spain

Laura Sauci

affiliation not provided to SSRN

No Address Available

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