Some guidance for the use of Big Data in macroeconomic nowcasting

[EN] This paper develops an operational step by step approach aiming to facilitate the use of Big Data in nowcasting exercises. Each step includes a description of the problem and a set of recommendations addressing the most relevant available solution. The approach includes nine steps starting from...

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Detalles Bibliográficos
Autor: Mazzi, Gian Luigi
Tipo de recurso: capítulo de libro
Fecha de publicación:2016
País:España
Institución:Universitat Politècnica de València (UPV)
Repositorio:RiuNet. Repositorio Institucional de la Universitat Politécnica de Valéncia
Idioma:inglés
OAI Identifier:oai:riunet.upv.es:10251/84788
Acceso en línea:https://riunet.upv.es/handle/10251/84788
Access Level:acceso abierto
Palabra clave:web data
internet data
big data
qca
pls
sem
conference
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spelling Some guidance for the use of Big Data in macroeconomic nowcastingMazzi, Gian Luigiweb datainternet databig dataqcaplssemconference[EN] This paper develops an operational step by step approach aiming to facilitate the use of Big Data in nowcasting exercises. Each step includes a description of the problem and a set of recommendations addressing the most relevant available solution. The approach includes nine steps starting from the theoretical availability of Big Data until the publication of new nowcasting including also Big Data. In designing this operational step by step approach, the preliminary results of an ongoing Eurostat project on Big Data and macroeconomic nowcasting have been used as a starting point. Further elaboration has been carried out in order to make the operational step by step approach more concrete and prescriptive. Its aim is to provide a concrete help for experts involved in the construction of nowcasting especially in the judgment about the usefulness of the presence of Big Data in their models. It also provides guidance related to the dissemination of new nowcasting based also on Big Data.Editorial Universitat Politècnica de ValènciaRepositorio Institucional de la Universitat Politècnica de València Riunet20162016-10-10book parthttp://purl.org/coar/resource_type/c_3248VoRhttp://purl.org/coar/version/c_970fb48d4fbd8a85info:eu-repo/semantics/bookPartapplication/pdfhttps://riunet.upv.es/handle/10251/84788reponame:RiuNet. Repositorio Institucional de la Universitat Politécnica de Valénciainstname:Universitat Politècnica de València (UPV)Inglésengopen accesshttp://purl.org/coar/access_right/c_abf2Reconocimiento - No comercial - Sin obra derivada (by-nc-nd) http://creativecommons.org/licenses/by-nc-nd/4.0/info:eu-repo/semantics/openAccessoai:riunet.upv.es:10251/847882026-06-13T07:49:27Z
dc.title.none.fl_str_mv Some guidance for the use of Big Data in macroeconomic nowcasting
title Some guidance for the use of Big Data in macroeconomic nowcasting
spellingShingle Some guidance for the use of Big Data in macroeconomic nowcasting
Mazzi, Gian Luigi
web data
internet data
big data
qca
pls
sem
conference
title_short Some guidance for the use of Big Data in macroeconomic nowcasting
title_full Some guidance for the use of Big Data in macroeconomic nowcasting
title_fullStr Some guidance for the use of Big Data in macroeconomic nowcasting
title_full_unstemmed Some guidance for the use of Big Data in macroeconomic nowcasting
title_sort Some guidance for the use of Big Data in macroeconomic nowcasting
dc.creator.none.fl_str_mv Mazzi, Gian Luigi
author Mazzi, Gian Luigi
author_facet Mazzi, Gian Luigi
author_role author
dc.contributor.none.fl_str_mv Repositorio Institucional de la Universitat Politècnica de València Riunet
dc.subject.none.fl_str_mv web data
internet data
big data
qca
pls
sem
conference
topic web data
internet data
big data
qca
pls
sem
conference
description [EN] This paper develops an operational step by step approach aiming to facilitate the use of Big Data in nowcasting exercises. Each step includes a description of the problem and a set of recommendations addressing the most relevant available solution. The approach includes nine steps starting from the theoretical availability of Big Data until the publication of new nowcasting including also Big Data. In designing this operational step by step approach, the preliminary results of an ongoing Eurostat project on Big Data and macroeconomic nowcasting have been used as a starting point. Further elaboration has been carried out in order to make the operational step by step approach more concrete and prescriptive. Its aim is to provide a concrete help for experts involved in the construction of nowcasting especially in the judgment about the usefulness of the presence of Big Data in their models. It also provides guidance related to the dissemination of new nowcasting based also on Big Data.
publishDate 2016
dc.date.none.fl_str_mv 2016
2016-10-10
dc.type.none.fl_str_mv book part
http://purl.org/coar/resource_type/c_3248
VoR
http://purl.org/coar/version/c_970fb48d4fbd8a85
dc.type.openaire.fl_str_mv info:eu-repo/semantics/bookPart
format bookPart
dc.identifier.none.fl_str_mv https://riunet.upv.es/handle/10251/84788
url https://riunet.upv.es/handle/10251/84788
dc.language.none.fl_str_mv Inglés
eng
language_invalid_str_mv Inglés
language eng
dc.rights.none.fl_str_mv open access
http://purl.org/coar/access_right/c_abf2
Reconocimiento - No comercial - Sin obra derivada (by-nc-nd)
http://creativecommons.org/licenses/by-nc-nd/4.0/
dc.rights.openaire.fl_str_mv info:eu-repo/semantics/openAccess
rights_invalid_str_mv open access
http://purl.org/coar/access_right/c_abf2
Reconocimiento - No comercial - Sin obra derivada (by-nc-nd)
http://creativecommons.org/licenses/by-nc-nd/4.0/
eu_rights_str_mv openAccess
dc.format.none.fl_str_mv application/pdf
dc.publisher.none.fl_str_mv Editorial Universitat Politècnica de València
publisher.none.fl_str_mv Editorial Universitat Politècnica de València
dc.source.none.fl_str_mv reponame:RiuNet. Repositorio Institucional de la Universitat Politécnica de Valéncia
instname:Universitat Politècnica de València (UPV)
instname_str Universitat Politècnica de València (UPV)
reponame_str RiuNet. Repositorio Institucional de la Universitat Politécnica de Valéncia
collection RiuNet. Repositorio Institucional de la Universitat Politécnica de Valéncia
repository.name.fl_str_mv
repository.mail.fl_str_mv
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score 15.300719

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