A Nonlinear Approach to Forecasting with Leading Economic Indicators

DOI10.2202/1558-3708.1135zbMath1080.91560OpenAlexW1974253627MaRDI QIDQ3368312

Timotej Jagrič

Publication date: 27 January 2006

Published in: Studies in Nonlinear Dynamics & Econometrics (Search for Journal in Brave)

Full work available at URL: https://doi.org/10.2202/1558-3708.1135

zbMATH Keywords

business cyclesneural networkforecastingaggregate economic activityleading economic indicators

Mathematics Subject Classification ID

Applications of statistics to economics (62P20) Statistical methods; economic indices and measures (91B82)

Related Items (2)

Complex economic dynamics: Chaotic saddle, crisis and intermittency ⋮ Forecasting economic data with neural networks

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