2015
DOI: 10.1111/ectj.12038
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Economic theory and forecasting: lessons from the literature

Raffaella Giacomini

Abstract: Standard-Nutzungsbedingungen:Die Dokumente auf EconStor dürfen zu eigenen wissenschaftlichen Zwecken und zum Privatgebrauch gespeichert und kopiert werden.Sie dürfen die Dokumente nicht für öffentliche oder kommerzielle Zwecke vervielfältigen, öffentlich ausstellen, öffentlich zugänglich machen, vertreiben oder anderweitig nutzen.Sofern die Verfasser die Dokumente unter Open-Content-Lizenzen (insbesondere CC-Lizenzen) zur Verfügung gestellt haben sollten, gelten abweichend von diesen Nutzungsbedingungen die in… Show more

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Cited by 20 publications
(10 citation statements)
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“…The regression models used need not be a structural macroeconomic model. Note that in many cases the non-structural macroeconomic models can return a better forecast, see Giacomini (2015) for the relevant discussion. However, the bridge equations do possess sufficient statistical properties.…”
Section: Discussionmentioning
confidence: 99%
“…The regression models used need not be a structural macroeconomic model. Note that in many cases the non-structural macroeconomic models can return a better forecast, see Giacomini (2015) for the relevant discussion. However, the bridge equations do possess sufficient statistical properties.…”
Section: Discussionmentioning
confidence: 99%
“…An increasing literature has explored the forecast performance of monetary DSGE models (possibly featuring …nancial frictions) vis-à-vis conventional forecasting tools such as univariate and multivariate time series models or naive forecasts, see e.g. Gürkaynak et al (2013) or Giacomini (2015) for a critical review. According to our analysis, the richer time series representation of the variables which emerges under indeterminacy should be properly identi…ed and incorporated in the econometric model to enhance predictive accuracy.…”
Section: Discussionmentioning
confidence: 99%
“…If they have a strong belief in the stability of the macroeconomic environment, then their expectations will not swing. People form their expectations based on the era of information and knowledge, starting from the internet to brokers, news, banks, and other agents in the market worldwide (Giacomini, 2015).…”
Section: Sensitivity Analysismentioning
confidence: 99%