Arbeitspapier

Forecasting nonlinear aggregates and aggregates with time-varying weights

Despite the fact that many aggregates are nonlinear functions and the aggregation weights of many macroeconomic aggregates are time-varying, much of the literature on forecasting aggregates considers the case of linear aggregates with fixed, time-invariant aggregation weights. In this study a framework for nonlinear contemporaneous aggregation with possibly stochastic or time-varying weights is developed and different predictors for an aggregate are compared theoretically as well as with simulations. Two examples based on European unemployment and inflation series are used to illustrate the virtue of the theoretical setup and the forecasting results.

Sprache
Englisch

Erschienen in
Series: CESifo Working Paper ; No. 3031

Klassifikation
Wirtschaft
Multiple or Simultaneous Equation Models: Time-Series Models; Dynamic Quantile Regressions; Dynamic Treatment Effect Models; Diffusion Processes; State Space Models
Thema
forecasting
stochastic aggregation
autoregression
moving average
vector autoregressive process
Aggregation
Prognoseverfahren
Stochastischer Prozess
Autokorrelation
VAR-Modell
Zeitreihenanalyse
Arbeitslosigkeit
Inflation
EU-Staaten

Ereignis
Geistige Schöpfung
(wer)
Luetkepohl, Helmut
Ereignis
Veröffentlichung
(wer)
Center for Economic Studies and ifo Institute (CESifo)
(wo)
Munich
(wann)
2010

Handle
Letzte Aktualisierung
10.03.2025, 11:42 MEZ

Datenpartner

Dieses Objekt wird bereitgestellt von:
ZBW - Deutsche Zentralbibliothek für Wirtschaftswissenschaften - Leibniz-Informationszentrum Wirtschaft. Bei Fragen zum Objekt wenden Sie sich bitte an den Datenpartner.

Objekttyp

  • Arbeitspapier

Beteiligte

  • Luetkepohl, Helmut
  • Center for Economic Studies and ifo Institute (CESifo)

Entstanden

  • 2010

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