Inference Related to Common Breaks in a Multivariate System With Joined Segmented Trends With Applications to Global and Hemispheric Temperatures

42 Pages Posted: 11 Jun 2018

See all articles by Dukpa Kim

Dukpa Kim

Korea University - Department of Economics

Tatsushi Oka

Keio University

Francisco Estrada

National Autonomous University of Mexico (UNAM)

Pierre Perron

Boston University - Department of Economics

Date Written: April 4, 2018

Abstract

What transpires from recent research is that temperatures and radiative forcing seem to be characterized by a linear trend with two changes in the rate of growth. The first occurs in the early 60s and indicates a very large increase in the rate of growth of both temperature and radiative forcing series. This was termed as the "onset of sustained global warming". The second is related to the more recent so-called hiatus period, which suggests that temperatures and total radiative forcing have increased less rapidly since the mid-90s compared to the larger rate of increase from 1960 to 1990. There are two issues that remain unresolved. The first is whether the breaks in the slope of the trend functions of temperatures and radiative forcing are common. This is important because common breaks coupled with the basic science of climate change would strongly suggest a causal effect from anthropogenic factors to temperatures. The second issue relates to establishing formally via a proper testing procedure that takes into account the noise in the series, whether there was indeed a 'hiatus period' for temperatures since the mid 90s. This is important because such a test would counter the widely held view that the hiatus is the product of natural internal variability. Our paper provides tests related to both issues. The results show that the breaks in temperatures and radiative forcing are common and that the hiatus is characterized by a significant decrease in their rate of growth. The statistical results are of independent interest and applicable more generally.

Keywords: Multiple Breaks, Common Breaks, Multivariate Regressions, Joined Segmented Trend

JEL Classification: C32

Suggested Citation

Kim, Dukpa and Oka, Tatsushi and Estrada, Francisco and Perron, Pierre, Inference Related to Common Breaks in a Multivariate System With Joined Segmented Trends With Applications to Global and Hemispheric Temperatures (April 4, 2018). Available at SSRN: https://ssrn.com/abstract=3184646 or http://dx.doi.org/10.2139/ssrn.3184646

Dukpa Kim

Korea University - Department of Economics ( email )

1 Anam-dong 5 ka
Seoul, 136-701
Korea

Tatsushi Oka

Keio University ( email )

Japan

Francisco Estrada

National Autonomous University of Mexico (UNAM) ( email )

Circuito Mario de la Cueva s/n
Lomas de las Palmas, 52760
Mexico

Pierre Perron (Contact Author)

Boston University - Department of Economics ( email )

270 Bay State Road
Boston, MA 02215
United States
617-353-3026 (Phone)

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