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Small sample properties of the conditional least squares estimator in SETAR models
Kapetanios, George - In: Economics letters 69 (2000) 3, pp. 267-276
Persistent link: https://www.econbiz.de/10001525568
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A note on an iterative least-squares estimation method for ARMA and VARMA models
Kapetanios, George - In: Economics letters 79 (2003) 3, pp. 305-312
Persistent link: https://www.econbiz.de/10001755274
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A test of m structural breaks under the unit root hypothesis
Kapetanios, George (contributor) - 1999 - [Elektronische Ressource]
Persistent link: https://www.econbiz.de/10001558145
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Bootstrap neural network cointegration tests against nonlinear alternative hypotheses
Kapetanios, George (contributor) - In: Studies in nonlinear dynamics and econometrics : SNDE ; … 7 (2003) 2
Persistent link: https://www.econbiz.de/10002004109
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Dynamic factor extraction of cross-sectional dependence in panel unit root tests
Kapetanios, George (contributor) - 2004 - [Elektronische Ressource]
Persistent link: https://www.econbiz.de/10001920602
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A bootstrap invariance principle for highly nonstationary long memory processes
Kapetanios, George (contributor) - 2004 - [Elektronische Ressource]
Persistent link: https://www.econbiz.de/10001920618
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Investigating the predictive ability of ONS big data‐based indicators
Kapetanios, George; Papailias, Fotis - In: Journal of Forecasting 41 (2021) 2, pp. 252-258
Persistent link: https://www.econbiz.de/10012632570
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Nonparametric time varying IV-SVARs : estimation and inference
Braun, Robin; Kapetanios, George; Marcellino, Massimiliano - 2024
Persistent link: https://www.econbiz.de/10015271384
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Estimating time variation in measurement error from data revisions : an application to backcasting and forecasting in dynamic models
Kapetanios, George; Yates, Anthony - In: Journal of applied econometrics 25 (2010) 5, pp. 869-893
Persistent link: https://www.econbiz.de/10008667439
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Revisiting Useful Approaches to Data-Rich Macroeconomic Forecasting
Groen, Jan J. - 2009
We compare a number of data-rich prediction methods that are widely used in macroeconomic forecasting with a lesser known alternative: partial least squares (PLS) regression. In this method, linear, orthogonal combinations of a large number of predictor variables are constructed such that the...
Persistent link: https://www.econbiz.de/10012720604