dc.creatorIssler, João Victor
dc.creatorNotini, Hilton Hostalacio
dc.date2016-03-30
dc.date.accessioned2023-08-31T21:37:32Z
dc.date.available2023-08-31T21:37:32Z
dc.identifierhttps://periodicos.fgv.br/rbe/article/view/29022
dc.identifier.urihttps://repositorioslatinoamericanos.uchile.cl/handle/2250/8560108
dc.descriptionThis paper has several original contributions. The fi rst is to employ a superior interpolation method that enables to estimate, nowcast and forecast monthly Brazilian GDP for 1980-2012 in an integrated way; see Bernanke, Gertler and Watson (1997, Brookings Papers on Economic Activity). Second, along the spirit of Mariano and Murasawa (2003, Journal of Applied Econometrics), we propose and test a myriad of interpolation models and interpolation auxiliary series all coincident with GDP froma business-cycle dating point of view. Based on these results, we fi nally choose the most appropriate monthly indicator for Brazilian GDP. Third, this monthly GDP estimate is compared to an economic activity indicator widely used by practitioners in Brazil - the Brazilian Economic Activity Index - (IBC-Br). We found that the our monthly GDP tracks economic activity better than IBC-Br. This happens by construction, since our state-space approach imposes the restriction (discipline) that our monthly estimate must add up to the quarterly observed series in any given quarter, whichmay not hold regarding IBC-Br. Moreover, our method has the advantage to be easily implemented: it only requires conditioning on two observed series for estimation, while estimating IBC-Br requires the availability of hundreds of monthly series. Third, in a nowcasting and forecasting exercise, we illustrate the advantages of our integrated approach. Finally, we compare the chronology of recessions of our monthly estimatewith those done elsewhere.pt-BR
dc.formatapplication/pdf
dc.languagepor
dc.publisherEGV EPGEpt-BR
dc.relationhttps://periodicos.fgv.br/rbe/article/view/29022/58562
dc.rightsCopyright (c) 2016 Revista Brasileira de Economiapt-BR
dc.sourceRevista Brasileira de Economia; Vol. 70 No. 1 (2016): Jan-Mar; 41-59en-US
dc.sourceRevista Brasileira de Economia; v. 70 n. 1 (2016): Jan-Mar; 41-59pt-BR
dc.source1806-9134
dc.source0034-7140
dc.subjectGDP Interpolationpt-BR
dc.subjectState-space Representationpt-BR
dc.subjectKalman Filterpt-BR
dc.subjectComposite and Leading Indicatorspt-BR
dc.subjectNowcastingpt-BR
dc.subjectForecastingpt-BR
dc.titleEstimating Brazilian Monthly GDP: a State-Space Approachpt-BR
dc.typeinfo:eu-repo/semantics/article
dc.typeinfo:eu-repo/semantics/publishedVersion
dc.typeArticlesen-US
dc.typeArtigospt-BR


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