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Controlling heterogeneous structure of smooth breaks in panel unit root and cointegration testing
Omay, Tolga; Iren, Perihan - In: Computational economics 61 (2023) 1, pp. 233-265
Persistent link: https://www.econbiz.de/10014228424
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The relationship between economic growth and electricity consumption : bootstrap ARDL test with a Fourier function and machine learning approach
Wu, Cheng-Feng; Huang, Shian-Chang; Chiou, Chei-Chang; … - In: Computational economics 60 (2022) 4, pp. 1197-1220
Persistent link: https://www.econbiz.de/10013445741
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A view of damped trend as incorporating a tracking signal into a state space model
Snyder, Ralph D. (contributor); Koehler, Anne B. (contributor) - 2008
Persistent link: https://www.econbiz.de/10003778339
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An assessment of alternative state space models for count time series
Snyder, Ralph D.; Martin, Gael M.; Gould, Phillip; … - 2007
Persistent link: https://www.econbiz.de/10003486451
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The vector innovation structural time series framework : a simple approach to multivariate forecasting
De Silva, Ashton; Hyndman, Rob J.; Snyder, Ralph D. - 2007
Persistent link: https://www.econbiz.de/10003486454
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Maximum likelihood estimation of the Cox–Ingersoll–Ross model using particle filters
De Rossi, Giuliano - In: Computational economics 36 (2010) 1, pp. 1-16
Persistent link: https://www.econbiz.de/10003992469
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Analyzing time-frequency based co-movement in inflation : evidence from G-7 countries
Tiwari, Aviral Kumar; Bhanja, Niyati; Dar, Arif Billah; … - In: Computational economics 45 (2015) 1, pp. 91-109
Persistent link: https://www.econbiz.de/10010511337
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Tractable latent state filtering for non-linear DSGE models using a second-order approximation and pruning
Kollmann, Robert - In: Computational economics 45 (2015) 2, pp. 239-260
Persistent link: https://www.econbiz.de/10011325720
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Common non-linearities in multiple series of stock market volatility
Anderson, Heather M.; Vahid, Farshid - 2013
Persistent link: https://www.econbiz.de/10009701603
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Nonparametric kernel testing in semiparametric autoregressive conditional duration model
Wongsaart, Pipat; Gao, Jiti - 2011
A crucially important advantage of the semiparametric regression approach to the nonlinear autoregressive conditional duration (ACD) model developed in Wongsaart et al. (2011), i.e. the so-called Semiparametric ACD (SEMI-ACD) model, is the fact that its estimation method does not require a...
Persistent link: https://www.econbiz.de/10009406330