Trends in temperature data: micro-foundations of their nature

Gadea Rivas, María Dolores; Gonzalo, Jesús; Ramos, Andrey

Publication:
Trends in temperature data: micro-foundations of their nature

dc.affiliation.dpto	UC3M. Departamento de Economía	es
dc.contributor.author	Gadea Rivas, María Dolores
dc.contributor.author	Gonzalo, Jesús
dc.contributor.author	Ramos, Andrey
dc.contributor.editor	Universidad Carlos III de Madrid. Departamento de Economía	es
dc.date.accessioned	2023-12-05T13:48:10Z
dc.date.available	2023-12-05T13:48:10Z
dc.date.issued	2023-12-05
dc.description.abstract	Determining whether Global Average Temperature (GAT) is an integrated process of order 1, I(1), or is a stationary process around a trend function is crucial for detection, attribution, impact and forecasting studies of climate change. In this paper, we investigate the nature of trends in GAT building on the analysis of individual temperature grids. Our 'micro-founded' evidence suggests that GAT is stationary around a non-linear deterministic trend in the form of a linear function with a one-period structural break. This break can beattributed to a combination of individual grid breaks and the standard aggregation method under acceleration in global warming. We illustrate our findings using simulations.	en
dc.identifier.issn	2340-5031	es
dc.identifier.uri	https://hdl.handle.net/10016/39045
dc.identifier.uxxi	DT/0000002096	es
dc.language.iso	eng	es
dc.relation.ispartofseries	Working papers. Economics	en
dc.relation.ispartofseries	23-08
dc.rights	Atribución-NoComercial-SinDerivadas 3.0 España	*
dc.rights.uri	http://creativecommons.org/licenses/by-nc-nd/3.0/es/	*
dc.subject.eciencia	Economía	es
dc.subject.jel	C32
dc.subject.jel	Q54
dc.subject.other	Trends	en
dc.subject.other	Unit Roots	en
dc.subject.other	Structural Breaks	en
dc.subject.other	Temperature	en
dc.subject.other	Aggregation	en
dc.title	Trends in temperature data: micro-foundations of their nature	en
dc.type	working paper	*
dspace.entity.type	Publication