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Freedom of Choice in Macroeconomic Forecasting: An Illustration with German Industrial Production and Linear Models

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Author Info
Nikolay Robinzonov
Klaus Wohlrabe ()

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Abstract

Different studies provide surprisingly a large variety of controversial conclusions aboutthe forecasting power of an indicator, even when it is supposed to forecast the sametime series. In this study we aim to provide a thorough overview of linear forecastingtechniques and draw conclusions useful for the identification of the predictive relationshipbetween leading indicators and time series. In a case study for Germany we forecastfour possible representations of industrial production. Further on we consider alarge variety of time-varying specifications: ex post vs. ex ante, rolling vs. recursive andmodel specifications such as restricted vs. unrestricted, AIC vs. BIC vs. OSC, direct vs.indirect. In a horse race with nine leading indicators plus benchmark we demonstrate thevariance of assessment across target variables and forecasting settings (50 per horizon).We show that it is nearly always possible to find situations in which one indicatorproved to have better predicting power compared to another.

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Publisher Info
Paper provided by Ifo Institute for Economic Research at the University of Munich in its series Ifo Working Paper Series with number Ifo Working Paper No. 57.

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Date of creation: 2008
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Handle: RePEc:ces:ifowps:_57

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Related research
Keywords: Forecasting competition; leading indicators; model selection;

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Find related papers by JEL classification:
C52 - Mathematical and Quantitative Methods - - Econometric Modeling - - - Model Evaluation and Testing
C53 - Mathematical and Quantitative Methods - - Econometric Modeling - - - Forecasting and Other Model Applications
E37 - Macroeconomics and Monetary Economics - - Prices, Business Fluctuations, and Cycles - - - Forecasting and Simulation

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