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A nonlinear forecasting model of GDP growth
DeJong, David Neil; Liesenfeld, Roman; Richard, … - In: The review of economics and statistics 87 (2005) 4, pp. 697-708
Persistent link: https://www.econbiz.de/10003235410
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A nonlinear approach for modeling and forecasting US business cycles
Bouali, Meriam; Nasr, Adnen Ben; Trabelsi, Abdelwahed - In: International economic journal 30 (2016) 1, pp. 39-74
Persistent link: https://www.econbiz.de/10011704432
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Seasonality, nonstationarity and the structural forecasting of the index of industrial production
Kouassi, Eugène; Labys, Walter C. - In: New trends in macroeconomics : with 38 tables, (pp. 195-221). 2005
Persistent link: https://www.econbiz.de/10003022405
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Forecasting dynamically asymmetric fluctuations of the U.S. business cycle
Zanetti Chini, Emilio - In: International journal of forecasting 34 (2018) 4, pp. 711-732
Persistent link: https://www.econbiz.de/10012031089
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Essays on the large dimensional approximate dynamic factor model
Schmid, Frank - 2009
Persistent link: https://www.econbiz.de/10013436419
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Do oil prices help forecast U.S. real GDP? : the role of nonlinearities and asymmetries
Kilian, Lutz; Vigfusson, Robert J. - 2012
Persistent link: https://www.econbiz.de/10014287125
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Empirical simultaneous confidence regions for path-forecasts
Jordà, Òscar; Knüppel, Malte; Marcellino, Massimiliano - 2010
Persistent link: https://www.econbiz.de/10003976664
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Empirical simultaneous confidence regions for path-forecasts
Jordà, Òscar; Knüppel, Malte; Marcellino, Massimiliano - 2010
Persistent link: https://www.econbiz.de/10003960556
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Empirical simultaneous confidence regions for path-forecasts
Jordà, Òscar; Knüppel, Malte; Marcellino, Massimiliano - 2010
-parametric estimation is impractical given commonly available predictive sample sizes. Instead, this paper derives the approximate …
Persistent link: https://www.econbiz.de/10003962215