Publikation: Forecasting Euro-Area Macroeconomic Variables Using a Factor Model Approach for Backdating
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We suggest to use a factor model based backdating procedure to construct historical Euro-area macroeconomic time series data for the pre-Euro period. We
argue that this is a useful alternative to standard contemporaneous aggregation
methods. The paper investigates for a number of Euro-area variables whether
forecasts based on the factor-backdated data are more precise than those obtained
with standard area-wide data. A recursive pseudo-out-of-sample forecasting experiment using quarterly data is conducted. Our results suggest that some key variables (e.g. real GDP, inflation and long-term interest rate) can indeed be forecasted more precisely with the factor-backdated data.
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BRÜGGEMANN, Ralf, Jing ZENG, 2015. Forecasting Euro-Area Macroeconomic Variables Using a Factor Model Approach for Backdating. In: Oxford Bulletin of Economics and Statistics. 2015, 77(1), pp. 22-39. ISSN 0305-9049. eISSN 1468-0084. Available under: doi: 10.1111/obes.12053BibTex
@article{Bruggemann2015Forec-26607,
year={2015},
doi={10.1111/obes.12053},
title={Forecasting Euro-Area Macroeconomic Variables Using a Factor Model Approach for Backdating},
number={1},
volume={77},
issn={0305-9049},
journal={Oxford Bulletin of Economics and Statistics},
pages={22--39},
author={Brüggemann, Ralf and Zeng, Jing}
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<dcterms:abstract xml:lang="eng">We suggest to use a factor model based backdating procedure to construct historical Euro-area macroeconomic time series data for the pre-Euro period. We<br />argue that this is a useful alternative to standard contemporaneous aggregation<br />methods. The paper investigates for a number of Euro-area variables whether<br />forecasts based on the factor-backdated data are more precise than those obtained<br />with standard area-wide data. A recursive pseudo-out-of-sample forecasting experiment using quarterly data is conducted. Our results suggest that some key variables (e.g. real GDP, inflation and long-term interest rate) can indeed be forecasted more precisely with the factor-backdated data.</dcterms:abstract>
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