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In-sample inference and forecasting in misspecified factor models
Carrasco, Marine; Rossi, Barbara - 2016
Persistent link: https://www.econbiz.de/10011524318
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Dynamic factor model with infinite dimensional factor space : forecasting
Forni, Mario; Giovannelli, Alessandro; Lippi, Marco; … - 2016
Persistent link: https://www.econbiz.de/10011482273
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Forecasting using heterogeneous panels with cross-sectional dependence
Akgun, Oguzhan; Pirotte, Alain; Urga, Giovanni - In: International journal of forecasting 36 (2020) 4, pp. 1211-1227
Persistent link: https://www.econbiz.de/10012546082
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International propagation of shocks : a dynamic factor model using survey forecasts
Lahiri, Kajal; Zhao, Yongchen - In: International journal of forecasting 35 (2019) 3, pp. 929-947
Persistent link: https://www.econbiz.de/10012305192
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In-sample inference and forecasting in misspecified factor models
Carrasco, Marine; Rossi, Barbara - In: Journal of business & economic statistics : JBES ; a … 34 (2016) 3, pp. 313-338
Persistent link: https://www.econbiz.de/10011691438
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Herding and anchoring in macroeconomic forecasts : the case of the PMI
Broughton, John B.; Lobo, Bento J. - In: Empirical economics : a journal of the Institute for … 55 (2018) 3, pp. 1337-1355
Persistent link: https://www.econbiz.de/10011950148
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Forecasting inflation across euro area countries and sectors : a panel VAR approach
Dées, Stéphane; Güntner, Jochen - In: Journal of forecasting 36 (2017) 4, pp. 431-453
Persistent link: https://www.econbiz.de/10011860465
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Adjusting for information content when comparing forecast performance
Andersson, Michael K.; Aranki, Ted; Reslow, André - In: Journal of forecasting 36 (2017) 7, pp. 784-794
Persistent link: https://www.econbiz.de/10011860726
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Applying a microfounded-forecasting approach to predict Brazilian inflation
Gaglianone, Wagner Piazza; Issler, João Victor; … - In: Empirical economics : a journal of the Institute for … 53 (2017) 1, pp. 137-163
Persistent link: https://www.econbiz.de/10011935918
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Artificial neural network regression models in a panel setting : predicting economic growth
Jahn, Malte - In: Economic modelling 91 (2020), pp. 148-154
Persistent link: https://www.econbiz.de/10012429029