Browsing Norges Banks vitenarkiv by Author "Foroni, Claudia"

Now showing items 1-8 of 8

    • A Survey of Econometric Methods for Mixed-Frequency Data 

      Foroni, Claudia; Marcellino, Massimiliano (Working Papers;6/2013, Working paper, 2013)
      The development of models for variables sampled at different frequencies has attracted substantial interest in the recent econometric literature. In this paper we provide an overview of the most common techniques, including ...

    • Density Forecasts with Midas Models 

      Aastveit, Knut Are; Foroni, Claudia; Ravazzolo, Francesco (Working Papers;10/2014, Working paper, 2014)
      In this paper we derive a general parametric bootstrapping approach to compute density forecasts for various types of mixed-data sampling (MIDAS) regressions. We consider both classical and unrestricted MIDAS regressions ...

    • Explaining Deviations from Okun’s Law 

      Foroni, Claudia; Furlanetto, Francesco (Working paper;4/2022, Working paper, 2022)
      Despite its stability over time, as for any statistical relationship, Okun’s law is subject to deviations that can be large at times. In this paper, we provide a mapping between residuals in Okun’s regressions and structural ...

    • Forecasting Commodity Currencies: The Role of Fundamentals with Short-Lived Predictive Content 

      Foroni, Claudia; Ravazzolo, Francesco; Ribeiro, Pinho J. (Working Papers;14/2015, Working paper, 2015)
      Recent evidence highlights that commodity price changes exhibit a short-lived, yet robust contemporaneous effect on commodity currencies, which is mainly detectable in daily-frequency data. We use MIDAS models in a Bayesian ...

    • Labour Supply Factors and Economic Fluctuations 

      Foroni, Claudia; Furlanetto, Francesco; Lepetit, Antoine (Working Papers;7/2015, Working paper, 2015)
      We propose a new VAR identification scheme that enables us to disentangle labour supply shocks from wage bargaining shocks. identification is achieved by imposing robust signrestrictions that are derived from a New Keynesian ...

    • Mixed Frequency Structural Models: Estimation, and Policy Analysis 

      Foroni, Claudia; Marcellino, Massimiliano (Working Papers;15/2013, Working paper, 2013)
      In this paper we show analytically, with simulation experiments and with actual data that a mismatch between the time scale of a DSGE model and that of the time series data used for its estimation generally creates ...

    • Mixed Frequency Structural VARs 

      Foroni, Claudia; Marcellino, Massimiliano (Working Papers;1/2014, Working paper, 2014)
      A mismatch between the time scale of a structural VAR (SVAR) model and that of the time series data used for its estimation can have serious consequences for identification, estimation and interpretation of the impulse ...

    • Using Low Frequency Information for Predicting High Frequency Variables 

      Foroni, Claudia; Guérin, Pierre; Marcellino, Massimiliano (Working Papers;13/2015, Working paper, 2015)
      We analyze how to incorporate low frequency information in models for predicting high frequency variables. In doing so, we introduce a new model, the reverse unrestricted MIDAS (RU-MIDAS), which has a periodic structure ...