Arbeitspapier

Forecasting euro area recessions in real-time

I present evidence that the linear mixed-frequency Bayesian VAR provides very sharp and well calibrated monthly real-time recession probabilities for the euro area for the period from 2004 until 2013. The model outperforms not only the univariate regime-switching models for a number of hard and soft economic indicators and their optimal linear combinations, but also a real-time recession index obtained with Google Trends data. This result holds irrespective of whether the joint predictive distribution of several economic indicators or the marginal distribution of real GDP growth is evaluated to extract the real-time recession probabilities of the mixed-frequency Bayesian VAR. The inclusion of the confidence index in industry turns out to be crucial for the performance of the model.

Language
Englisch

Bibliographic citation
Series: Kiel Working Paper ; No. 2020

Classification
Wirtschaft
Forecasting Models; Simulation Methods
Business Fluctuations; Cycles
Prices, Business Fluctuations, and Cycles: Forecasting and Simulation: Models and Applications
Subject
Density nowcasting
Real-time recession forecasting
Mixed-frequency data
Bayesian VAR
Regime-switching models
Linear opinion pool
Google Trends

Event
Geistige Schöpfung
(who)
Pirschel, Inske
Event
Veröffentlichung
(who)
Kiel Institute for the World Economy (IfW)
(where)
Kiel
(when)
2016

Handle
Last update
10.03.2025, 11:44 AM CET

Data provider

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Object type

  • Arbeitspapier

Associated

  • Pirschel, Inske
  • Kiel Institute for the World Economy (IfW)

Time of origin

  • 2016

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