Data Mining for ‘big data’ macroeconomic forecasting: A complementary approach to factor models.

Brandl, Bernd; Keber, Christian; Schuster, Matthias G.

Data Mining for ‘big data’ macroeconomic forecasting: A complementary approach to factor models.

Brandl, Bernd; Keber, Christian; Schuster, Matthias G.

Authors

Professor Bernd Brandl bernd.brandl@durham.ac.uk
Professor

Christian Keber

Matthias G. Schuster

Contributors

Hans-Dietrich Haasis
Editor

Herbert Kopfer
Editor

Jörn Schönberger
Editor

Citation

Brandl, B., Keber, C., & Schuster, M. G. (2006). Data Mining for ‘big data’ macroeconomic forecasting: A complementary approach to factor models. In H. Haasis, H. Kopfer, & J. Schönberger (Eds.), Operations Research Proceedings 2005 (483-488). Springer-Verlag, Berlin et al

Publication Date	2006
Deposit Date	Jul 15, 2015
Pages	483-488
Book Title	Operations Research Proceedings 2005.
Public URL	https://durham-repository.worktribe.com/output/1645774