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On SETAR non-linearity and forecasting
Clements, Michael P.; Franses, Philip Hans; Smith, Jeremy; … - In: Journal of forecasting 22 (2003) 5, pp. 359-375
Persistent link: https://www.econbiz.de/10001781684
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A Monte Carlo study of the forecasting performance of empirical SETAR models
Clements, Michael P.; Smith, Jeremy - In: Journal of applied econometrics 14 (1999) 2, pp. 123-141
Persistent link: https://www.econbiz.de/10001387355
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The mathematical structure of models that exhibit cointegration : a survey of recent approaches
Clements, Michael P. - 1990
Persistent link: https://www.econbiz.de/10000804287
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Are professional macroeconomic forecasters able to do better than forecasting trends?
Clements, Michael P. - In: Journal of money, credit and banking : JMCB 47 (2015) 2/3, pp. 349-381
Persistent link: https://www.econbiz.de/10010519155
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Individual forecaster perceptions of the persistence of shocks to GDP
Clements, Michael P. - In: Journal of applied econometrics 37 (2022) 3, pp. 640-656
Persistent link: https://www.econbiz.de/10013186706
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Assessing macro uncertainty in real-time when data are subject to revision
Clements, Michael P. - In: Journal of business & economic statistics : JBES ; a … 35 (2017) 3, pp. 420-433
Persistent link: https://www.econbiz.de/10011705951
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The size and the power of unit roots tests against fractional alternatives : a Monte Carlo investigation
Yadav, Sanjay - 1994
Persistent link: https://www.econbiz.de/10000884449
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The KPSS test with outliers
Otero, Jesús G. (contributor); Smith, Jeremy (contributor) - 2003 - [Elektronische Ressource]
Persistent link: https://www.econbiz.de/10001847646
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Convex combinations of long memory estimates from different sampling rates
Souza, Leonardo Rocha (contributor);  … - 2003 - [Elektronische Ressource]
Persistent link: https://www.econbiz.de/10001953832
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Forecasting costs incurred from unit differencing fractionally integrated processes
Smith, Jeremy - In: International journal of forecasting 10 (1994) 4, pp. 507-514
Persistent link: https://www.econbiz.de/10001178920