<?xml version='1.0' encoding='UTF-8'?><?xml-stylesheet href='static/style.xsl' type='text/xsl'?><OAI-PMH xmlns="http://www.openarchives.org/OAI/2.0/" xmlns:xsi="http://www.w3.org/2001/XMLSchema-instance" xsi:schemaLocation="http://www.openarchives.org/OAI/2.0/ http://www.openarchives.org/OAI/2.0/OAI-PMH.xsd"><responseDate>2026-09-09T09:13:59Z</responseDate><request verb="GetRecord" identifier="oai:repositorio.bde.es:123456789/6990" metadataPrefix="oai_dc">https://repositorio.bde.es/oai/request</request><GetRecord><record><header><identifier>oai:repositorio.bde.es:123456789/6990</identifier><datestamp>2025-03-04T08:38:47Z</datestamp><setSpec>com_123456789_5661</setSpec><setSpec>com_123456789_21</setSpec><setSpec>col_123456789_5688</setSpec></header><metadata><oai_dc:dc xmlns:oai_dc="http://www.openarchives.org/OAI/2.0/oai_dc/" xmlns:doc="http://www.lyncode.com/xoai" xmlns:xsi="http://www.w3.org/2001/XMLSchema-instance" xmlns:dc="http://purl.org/dc/elements/1.1/" xsi:schemaLocation="http://www.openarchives.org/OAI/2.0/oai_dc/ http://www.openarchives.org/OAI/2.0/oai_dc.xsd">
<dc:title xml:lang="en">Ñ-STING : España short term indicator of growth</dc:title>
<dc:creator>Camacho, Máximo</dc:creator>
<dc:creator>Pérez Quirós, Gabriel</dc:creator>
<dc:subject>Business cycles</dc:subject>
<dc:subject>Output growth</dc:subject>
<dc:subject>Time series</dc:subject>
<dc:subject xml:lang="es">Fluctuaciones y ciclos económicos</dc:subject>
<dc:subject xml:lang="es">Modelización econométrica</dc:subject>
<dc:subject xml:lang="es">Modelos econométricos</dc:subject>
<dc:subject>E32</dc:subject>
<dc:subject>C22</dc:subject>
<dc:subject>E27</dc:subject>
<dc:subject>Crecimiento económico / Convergencia</dc:subject>
<dc:subject>Sociedades no financieras / empresas</dc:subject>
<dc:subject>Situación económica</dc:subject>
<dc:subject>Métodos cuantitativos</dc:subject>
<dc:description>We develop a dynamic factor model to compute short term forecasts of the Spanish GDP growth in real time. With this model, we compute a business cycle index which works well as an indicator of the business cycle conditions in Spain. To examine its real time forecasting accuracy, we use real-time data vintages from 2008.02 through 2009.01. We conclude that the model exhibits good forecasting performance in anticipating the recent and sudden downturn</dc:description>
<dc:date>2009-06-23</dc:date>
<dc:type xml:lang="es">Documento de trabajo</dc:type>
<dc:identifier>ISSN: 0213-2710  (en papel)</dc:identifier>
<dc:identifier>ISSN: 1579-8666  (en línea)</dc:identifier>
<dc:identifier>https://repositorio.bde.es/handle/123456789/6990</dc:identifier>
<dc:language>en</dc:language>
<dc:relation>Documentos de Trabajo / Banco de España, 0912</dc:relation>
<dc:rights>Reconocimiento-NoComercial-CompartirIgual 4.0 Internacional (CC BY-NC-SA 4.0)</dc:rights>
<dc:rights>In Copyright - Non Commercial Use Permitted</dc:rights>
<dc:rights>https://creativecommons.org/licenses/by-nc-sa/4.0/deed.es_ES</dc:rights>
<dc:rights>http://rightsstatements.org/vocab/InC-NC/1.0/</dc:rights>
<dc:format>29 p. : gráf.</dc:format>
<dc:format>application/pdf</dc:format>
<dc:coverage xml:lang="es">España</dc:coverage>
<dc:publisher>Banco de España</dc:publisher>
<dc:publisher>Madrid : Banco de España, 2009</dc:publisher>
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