This paper focuses on forecasting four key New Zealand macroeconomic variables using a dynamic factor model and a large number of predictors. We compare the (simulated) real-time forecasting performance of the factor model with a variety of other time-series models (including the Reserve Bank of New Zealand’s published forecasts), and we gauge the sensitivity of our results to alternative variable-selection algorithms. We find that the factor model performs particularly well at longer horizons.
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Find related papers by JEL classification: C32 - Mathematical and Quantitative Methods - - Multiple or Simultaneous Equation Models; Multiple Variables - - - Time-Series Models E47 - Macroeconomics and Monetary Economics - - Money and Interest Rates - - - Forecasting and Simulation
References listed on IDEAS Please report citation or reference errors to , or , if you are the registered author of the cited work, log in to your RePEc Author Service profile, click on "citations" and make appropriate adjustments.:
James H. Stock & Mark W. Watson, 1999.
"Forecasting Inflation,"
NBER Working Papers
7023, National Bureau of Economic Research, Inc.
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Michael Artis & Anindya Banerjee & Massimiliano Marcellino, .
"Factor forecasts for the UK,"
Working Papers
203, IGIER (Innocenzo Gasparini Institute for Economic Research), Bocconi University.
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