2010
DOI: 10.1016/j.ijforecast.2009.08.002
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Should quarterly government finance statistics be used for fiscal surveillance in Europe?

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Cited by 39 publications
(28 citation statements)
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“…The description in this Section follow Pedregal and Pérez (2010) and Leal et al (2010). The starting point of the modeling approach is to consider a multivariate Unobserved Components Model known as the Basic Structural Model (Harvey, 1989).…”
Section: Methodsmentioning
confidence: 99%
See 1 more Smart Citation
“…The description in this Section follow Pedregal and Pérez (2010) and Leal et al (2010). The starting point of the modeling approach is to consider a multivariate Unobserved Components Model known as the Basic Structural Model (Harvey, 1989).…”
Section: Methodsmentioning
confidence: 99%
“…These type of models have been used with success in the field of fiscal forecasting (see e.g. Asimakopoulos et al, 2013;Pedregal and Pérez, 2010;Leal, Pedregal and Pérez, 2010). Their flexibility allows us to accommodate a number of policy-relevant exercises, most notably: (i) production of unconditional forecasts for all the variables of interest that can be used to assess in real-time the probability of meeting the annual official fiscal targets; (ii) distribution across quarters of annual fiscal forecasts (official government targets, or European Commission forecasts) on the basis of the available short-term fiscal information, to assess consistency of fiscal plans with incoming data.…”
Section: A Suite Of Modelsmentioning
confidence: 99%
“…See, e.g. Pérez (2007), Silvestrini et al (2008), Pedregal and Pérez (2010), Asimakopoulos et al (2013), Pedregal et al (2014, and the references quoted therein. 7 Lundtofte and Leoni (2014) argue that governments are in most cases better informed about the future of the macroeconomy than the vast majority of private investors.…”
Section: Introductionmentioning
confidence: 99%
“…On the development of early-warning tools for fiscal variables, a recent strand of the literature has shown that intra-annual fiscal data, when modelled appropriately, contains extremely valuable and useful information for forecasting annual fiscal aggregates, enabling earlier detection of episodes of fiscal deterioration (or improvement) than traditional methods (Pérez 2007;Silvestrini et al 2008;Onorante et al 2009;Pedregal and Pérez 2009;Leal and Pérez 2009). …”
Section: Introductionmentioning
confidence: 99%
“…Secondly, along the lines of the models by Pedregal and Pérez (2009) for euro area fiscal aggregates, the models presented in the current paper make use of annual, quarterly and monthly ESA95 fiscal figures and other relevant monthly fiscal indicators. An optimal way to use these data is to build a single model that relates data at all frequencies.…”
Section: Introductionmentioning
confidence: 99%