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Adaptive trees : a new approach to economic forecasting
Woloszko, Nicolas - 2020
forecasting. Economic forecasting is made difficult by economic complexity, which implies non-linearities (multiple interactions … the algorithm in forecasting GDP growth 3- to 12-months ahead is assessed through simulations in pseudo-real-time for six …
Persistent link: https://www.econbiz.de/10012203223
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Forecast rationality tests in the presence of instabilities, with applications to federal reserve and survey forecasts
Rossi, Barbara; Sekhposyan, Tatevik - 2014
Persistent link: https://www.econbiz.de/10010375971
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Forecast rationality tests in the presence of instabilities, with applications to Federal Reserve and survey forecasts
Rossi, Barbara; Sekhposyan, Tatevik - 2014
Persistent link: https://www.econbiz.de/10010373663
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Forecast rationality tests in the presence of instabilities, with applications to federal reserve and survey forecasts
Rossi, Barbara; Sekhposyan, Tatevik - 2016
Persistent link: https://www.econbiz.de/10011524322
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Forecast rationality tests in the presence of instabilities, with applications to Federal Reserve and survey forecasts
Rossi, Barbara; Sekhposyan, Tatevik - In: Journal of applied econometrics 31 (2016) 3, pp. 507-532
Persistent link: https://www.econbiz.de/10011642621
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Forecasting economic activity in data-rich environment
Leroux, Maxime; Kotchoni, Rachidi; Stevanovic, Dalibor - 2017
Persistent link: https://www.econbiz.de/10011590324
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Forecasting economic activity in data-rich environment
Leroux, Maxime; Kotchoni, Rachidi; Stevanovic, Dalibor - 2017
Persistent link: https://www.econbiz.de/10011738071
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Forecasting economic activity using a neural network in uncertain times : Monte Carlo evidence and application to the German GDP
Holtemöller, Oliver; Kozyrev, Boris - Leibniz-Institut für Wirtschaftsforschung Halle - 2024
In this study, we analyzed the forecasting and nowcasting performance of a generalized regression neural network (GRNN …
Persistent link: https://www.econbiz.de/10014496850
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A Study of Neuro-Fuzzy Inference System for Gross Domestic Product Growth Forecasting
Giovanis, Eleftherios - 2010
. We conclude that the forecasting performance of neuro-fuzzy-system in the out-of-sample period is much more superior and …
Persistent link: https://www.econbiz.de/10013137170
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Short-Term Forecasting of GDP via Evolutionary Algorithms Using Survey-Based Expectations
Claveria, Oscar - 2017
Business and consumer surveys are the main source of agents' expectations. In this study we use survey expectations about a wide range of economic variables to forecast GDP growth. We propose an empirical approach to derive mathematical functional forms that link survey-based expectations to...
Persistent link: https://www.econbiz.de/10012955806