Empirical simultaneous confidence regions for path-forecasts

Arbeitspapier

Measuring and displaying uncertainty around path-forecasts, i.e. forecasts made in period T about the expected trajectory of a random variable in periods T+1 to T+H is a key ingredient for decision making under uncertainty. The probabilistic assessment about the set of possible trajectories that the variable may follow over time is summarized by the simultaneous confidence region generated from its forecast generating distribution. However, if the null model is only approximative or altogether unavailable, one cannot derive analytic expressions for this confidence region, and its non-parametric estimation is impractical given commonly available predictive sample sizes. Instead, this paper derives the approximate rectangular confidence regions that control false discovery rate error, which are a function of the predictive sample covariance matrix and the empirical distribution of the Mahalanobis distance of the path-forecast errors. These rectangular regions are simple to construct and appear to work well in a variety of cases explored empirically and by simulation. The proposed techniques are applied to provide confidence bands around the Fed and Bank of England real-time path-forecasts of growth and inflation.

Angaben zum Objekt

• ISBN: 978-3-86558-605-6
• Sprache: Englisch

Verweise und Beziehungen

• Erschienen in: Series: Discussion Paper Series 1 ; No. 2010,06

Klassifikation und Themen

• Klassifikation: Wirtschaft ; Multiple or Simultaneous Equation Models: Time-Series Models; Dynamic Quantile Regressions; Dynamic Treatment Effect Models; Diffusion Processes; State Space Models ; Model Evaluation, Validation, and Selection ; Forecasting Models; Simulation Methods
• Thema: Path forecast ; forecast uncertainty ; simultaneous confidence region ; Scheffé's S-method ; Mahalanobis distance ; false discovery rate ; Prognoseverfahren ; Entscheidung bei Unsicherheit ; Zeitreihenanalyse ; Schätztheorie ; Theorie ; Schätzung ; Inflation ; Konjunkturprognose ; USA ; Großbritannien

Beteiligte, Orts- und Zeitangaben

• Ereignis: Geistige Schöpfung
• (wer): Jordà, Òscar ; Knüppel, Malte ; Marcellino, Massimiliano
• Ereignis: Veröffentlichung
• (wer): Deutsche Bundesbank
• (wo): Frankfurt a. M.
• (wann): 2010

Weitere Informationen

• Handle: http://hdl.handle.net/10419/32454
• Letzte Aktualisierung: 10.03.2025, 11:45 MEZ