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Showcasting the use of big data for policy purposes

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Showcasting the use of big data for policy purposes

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dc.contributor.author Nymand-Andersen, Per es_ES
dc.date.accessioned 2018-01-29T08:02:21Z
dc.date.available 2018-01-29T08:02:21Z
dc.date.issued 2016-10-10
dc.identifier.isbn 9788490484623
dc.identifier.uri http://hdl.handle.net/10251/95622
dc.description.abstract [¶EN] While the availability and accessibility of large data sources is a rich field for statisticians, economists, econometricians and forecasters, it has been relatively unexploited for producing substainable and reliable statistics for policy purposes. It is of particular interest if such large sources could help to detect trends and turning points within the economy, thereby providing supplementary and more timely information compared to the “traditional” toolkit of policy makers. These supplementary statistics may provide further insights contributing to guiding policy actions as well as to assessing the subsequent impact and associated risks of these policy decisions on the financial system and real economy. Big data sources could assist policy makers in obtaining a nearly real-time snapshot of the economy as well as providing early warning indicators. This may be particularly welcome in the light of the shortcomings observed in the run-up to the financial crisis. In particular regulators have been keen to expand the data collection so as to better monitor financial intermediaries, financial risks and vulnerabilities. The way forward may therefore be to develop and apply a structural approach for piloting the use of big data. While it may be reasonable to expect that “big data” suppliers have different business and data models, it is important to assess their usefulness according to a standardised set of five key criteria following a production cycle; “Input”, “Quality”, “Production”, “Results” and “Assessment” as part of exploring its relevance for producing substainable and reliable statistics for policy making purposes. es_ES
dc.format.extent 1 es_ES
dc.language Inglés es_ES
dc.publisher Editorial Universitat Politècnica de València es_ES
dc.relation.ispartof CARMA 2016: 1st International Conference on Advanced Research Methods in Analytics es_ES
dc.rights Reconocimiento - No comercial - Sin obra derivada (by-nc-nd) es_ES
dc.subject web data es_ES
dc.subject internet data es_ES
dc.subject big data es_ES
dc.subject qca es_ES
dc.subject pls es_ES
dc.subject sem es_ES
dc.subject conference es_ES
dc.title Showcasting the use of big data for policy purposes es_ES
dc.type Capítulo de libro es_ES
dc.type Comunicación en congreso es_ES
dc.identifier.doi 10.4995/CARMA2016.2015.4247
dc.rights.accessRights Abierto es_ES
dc.description.bibliographicCitation Nymand-Andersen, P. (2016). Showcasting the use of big data for policy purposes. En CARMA 2016: 1st International Conference on Advanced Research Methods in Analytics. Editorial Universitat Politècnica de València. 118-118. https://doi.org/10.4995/CARMA2016.2015.4247 es_ES
dc.description.accrualMethod OCS es_ES
dc.relation.conferencename CARMA 2016 - 1st International Conference on Advanced Research Methods and Analytics es_ES
dc.relation.conferencedate July 06-07,2016 es_ES
dc.relation.conferenceplace Valencia, Spain es_ES
dc.relation.publisherversion http://ocs.editorial.upv.es/index.php/CARMA/CARMA2016/paper/view/4247 es_ES
dc.description.upvformatpinicio 118 es_ES
dc.description.upvformatpfin 118 es_ES
dc.type.version info:eu-repo/semantics/publishedVersion es_ES
dc.relation.pasarela OCS\4247 es_ES


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