Arbeitspapier

Macroeconomic forecasting and structural change

The aim of this paper is to assess whether explicitly modeling structural change increases the accuracy of macroeconomic forecasts. We produce real time out-of-sample forecasts for inflation, the unemployment rate and the interest rate using a Time-Varying Coefficients VAR with Stochastic Volatility (TV-VAR) for the US. The model generates accurate predictions for the three variables. In particular for inflation the TV-VAR outperforms, in terms of mean square forecast error, all the competing models: fixed coefficients VARs, Time-Varying ARs and the na¨ıve random walk model. These results are also shown to hold over the most recent period in which it has been hard to forecast inflation.

Language
Englisch

Bibliographic citation
Series: ECB Working Paper ; No. 1167

Classification
Wirtschaft
Multiple or Simultaneous Equation Models: Time-Series Models; Dynamic Quantile Regressions; Dynamic Treatment Effect Models; Diffusion Processes; State Space Models
Prices, Business Fluctuations, and Cycles: Forecasting and Simulation: Models and Applications
Money and Interest Rates: Forecasting and Simulation: Models and Applications
Subject
forecasting
inflation
stochastic volatility
Time Varying Vector Autoregression
Volkswirtschaft
Strukturwandel
Wirtschaftsprognose
Inflationsrate
Arbeitslosigkeit
Zins
Volatilität
VAR-Modell
USA

Event
Geistige Schöpfung
(who)
Gambetti, Luca
D’Agostino, Antonello
Giannone, Domenico
Event
Veröffentlichung
(who)
European Central Bank (ECB)
(where)
Frankfurt a. M.
(when)
2010

Handle
Last update
10.03.2025, 11:42 AM CET

Data provider

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Object type

  • Arbeitspapier

Associated

  • Gambetti, Luca
  • D’Agostino, Antonello
  • Giannone, Domenico
  • European Central Bank (ECB)

Time of origin

  • 2010

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