Publication:
A tale of three cities: climate heterogeneity (special issue of SERIES in homage to Juan J. Dolado)

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dc.affiliation.dptoUC3M. Departamento de Economíaes
dc.contributor.authorGadea Rivas, María Dolores
dc.contributor.authorGonzalo, Jesús
dc.contributor.editorUniversidad Carlos III de Madrid. Departamento de Economíaes
dc.date.accessioned2021-03-22T16:37:54Z
dc.date.available2021-03-22T16:37:54Z
dc.date.issued2021-03-22
dc.description.abstractProfessor Dolado has developed much of his professional career in three cities: Zaragoza, Oxford and Madrid. This fact, together with the recent appearance of literature relating climate with human behavior, has inspired us to analyze a set of relevant climate change issues linked to these areas, particularly any possible heterogeneity. The novel methodology proposed in Gadea and Gonzalo (2020a) for analyzing a wide range of characteristics of the temperature distribution (converting them into time series objects), instead of focusing solely on the mean, allows us to carry out this analysis . Using this methodology, we can identify local warming patterns within the global warming phenomenon of different types and intensities. The results show that there is a clear warming process in the three areas. The two Spanish cities (Zaragoza and Madrid) have many similarities but Oxford fits into a different type of warming category. The former are characterized by higher trends in the upper quantiles than in the lower, an increase in dispersion, acceleration and an upper amplification with respect to the mean. In Oxford, the type of climate change is different, displaying higher trends in the lower quantiles, a weak negative trend in dispersion,lower amplification and a more attenuated acceleration in recent decades. There is no doubt that a better knowledge of local warming heterogeneity is recommendable for the design of more effective mitigation policies. The influence of the climate on human behavior and, specifically, on Professor Dolados personality, takes us into lesser-known regions which are left for the reader to discern.en
dc.identifier.issn2340-5031es
dc.identifier.urihttps://hdl.handle.net/10016/32200
dc.identifier.uxxiDT/0000001888es
dc.language.isoenges
dc.relation.ispartofseriesWorking paper. Economicses
dc.relation.ispartofseries20-17es
dc.relation.projectIDGobierno de España. PID2019-104960GB-I00es
dc.relation.projectIDGobierno de España. ECO2017-83255-C3-1-Pes
dc.relation.projectIDGobierno de España. ECO2016-81901-REDTes
dc.rightsAtribución-NoComercial-SinDerivadas 3.0 España*
dc.rights.urihttp://creativecommons.org/licenses/by-nc-nd/3.0/es/*
dc.subject.jelC31
dc.subject.jelC32
dc.subject.jelQ54
dc.subject.otherClimate Changeen
dc.subject.otherGlobal Warmingen
dc.subject.otherLocal Warmingen
dc.subject.otherFunctional Stochastic Processesen
dc.subject.otherDistributional Characteristicsen
dc.subject.otherTrendsen
dc.subject.otherQuantilesen
dc.subject.otherTemperature Distributionsen
dc.titleA tale of three cities: climate heterogeneity (special issue of SERIES in homage to Juan J. Dolado)en
dc.typeworking paper*
dspace.entity.typePublication
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