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Forecasting Euro-area macroeconomic variables using a factor model approach for backdating

[working paper]

Brüggemann, Ralf
Zeng, Jing

Corporate Editor
Universität Konstanz, Center for Quantitative Methods and Survey Research (CMS)

Abstract

"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 variable... view more

"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 factorbackdated data are more precise than those obtained with standard area-wide data. A recursive pseudo-out-of-sample forecasting experiment using quarterly data and a forecasting period 2000Q1-2007Q4 is conducted. Our results suggests that some key variables (e.g. real GDP and in ation) can indeed be forecasted more precisely with the factor-backdated data." (author's abstract)... view less

Keywords
forecast procedure; time series; data; macroeconomics; factor analysis; EEMU; structural analysis; economic integration; European market; structural change; Federal Republic of Germany; method; historical analysis; aggregation

Classification
National Economy
Methods and Techniques of Data Collection and Data Analysis, Statistical Methods, Computer Methods
Sociology of Economics

Document language
English

Publication Year
2010

City
Konstanz

Page/Pages
27 p.

Series
CMS Discussion Paper, 4

Status
Published Version; reviewed

Licence
Deposit Licence - No Redistribution, No Modifications

Data providerThis metadata entry was indexed by the Special Subject Collection Social Sciences, USB Cologne


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© 2007 - 2025 Social Science Open Access Repository (SSOAR).
Based on DSpace, Copyright (c) 2002-2022, DuraSpace. All rights reserved.