RT Generic
T1 Revisiting Granger Causality of CO2 on Global Warming: a Quantile Factor Approach
A1 Chen, Liang
A1 Dolado, Juan José
A1 Gonzalo, Jesús
A1 Ramos Ramirez, Andrey David
A2 Universidad Carlos III de Madrid. Departamento de Estadística, 
AB The relationship between global warming and CO2 is a long-standing question in theclimate change literature. In this paper we revisit this topic through the lenses of a new class of factor models for high-dimensional panel data, labeled Quantile Factor Models (QFM). This technique allows us to extract quantile-dependent factors from the distributions of changes in temperatures across a wide range of stable weather stations in the Northern and Southern Hemispheres over a century (1917-2018). In particular, we test whether CO2 emissions/concentrations Granger-cause the underlying factors of the di erent quantiles of the distribution of changes in temperature, and find that they exhibit much higher predictivepower on large negative and medium (lower and middle quantiles) than on large positive changes (upper quantiles). These findings are novel in this literature and complement recent results by Gadea and Gonzalo (2020) who document the existence of steeper trends in lower temperature levels than in other parts of the distribution.
SN 2340-5031
YR 2013
FD 2013-07-22
LK https://hdl.handle.net/10016/35531
UL https://hdl.handle.net/10016/35531
LA eng
NO We are indebted to Lola Gadea for helpful comments. Financial support from the National Natural Science Foundation of China (Grant No.71703089), the Spanish Ministerio de Econom  a y Competitividad (grant PID2019-104960GB-100), and MadEco-CM (grant S205/HUM-3444) is gratefully acknowledged.
DS e-Archivo
RD 16 jul. 2024