Neural Networks for Macroeconomic Forecasting: A Complementary Approach to Linear Regression Models
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- A. Nazif Çatik & Mehmet Karaçuka, 2011.
"A comparative analysis of alternative univariate time series models in forecasting Turkish inflation,"
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- Catik, A. Nazif & Karaçuka, Mehmet, 2011. "A comparative analysis of alternative univariate time series models in forecasting Turkish inflation," DICE Discussion Papers 20, University of Düsseldorf, Düsseldorf Institute for Competition Economics (DICE).
- Haider, Adnan & Hanif, Muhammad Nadeem, 2007. "Inflation Forecasting in Pakistan using Artificial Neural Networks," MPRA Paper 14645, University Library of Munich, Germany.
- Virág, Miklós & Kristóf, Tamás, 2005.
"Az első hazai csődmodell újraszámítása neurális hálók segítségével
[Recalculation of the first Hungarian bankruptcy-prediction model using neural networks]," Közgazdasági Szemle (Economic Review - monthly of the Hungarian Academy of Sciences), Közgazdasági Szemle Alapítvány (Economic Review Foundation), vol. 0(2), pages 144-162.
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- Jagric Timotej, 2003. "A Nonlinear Approach to Forecasting with Leading Economic Indicators," Studies in Nonlinear Dynamics & Econometrics, De Gruyter, vol. 7(2), pages 1-20, July.
- Timotej Jagric & Sebastjan Strasek, 2005. "A Nonlinear Extension Of The Nber Model For Short-Run Forecasting Of Business Cycles," South African Journal of Economics, Economic Society of South Africa, vol. 73(3), pages 435-448, September.
- Dan Farhat, 2014. "Information Processing, Pattern Transmission and Aggregate Consumption Patterns in New Zealand:," Working Papers 1405, University of Otago, Department of Economics, revised Mar 2014.
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- María Clara Aristizábal Restrepo, 2006. "Evaluación asimétrica de una red neuronal artificial:Aplicación al caso de la inflación en Colombia," Borradores de Economia 377, Banco de la Republica de Colombia.
- Carla Salinas & Jon Mendieta, 2013. "Mitigation and adaptation investments for desertification and climate change: an assessment of the socioeconomic return," Mitigation and Adaptation Strategies for Global Change, Springer, vol. 18(5), pages 659-672, June.
- Dan Farhat, 2014. "Artificial Neural Networks and Aggregate Consumption Patterns in New Zealand:," Working Papers 1404, University of Otago, Department of Economics, revised Mar 2014.
More about this item
NEP fieldsThis paper has been announced in the following NEP Reports:
- NEP-ALL-2003-11-09 (All new papers)
- NEP-CMP-2003-11-09 (Computational Economics)
- NEP-ECM-2003-11-09 (Econometrics)
- NEP-ETS-2003-11-09 (Econometric Time Series)
- NEP-FIN-2003-11-09 (Finance)
- NEP-MAC-2003-11-09 (Macroeconomics)
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