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Nowcasting with large Bayesian vector autoregressions
Cimadomo, Jacopo; Giannone, Domenico; Lenza, Michele; … - In: Journal of econometrics 231 (2022) 2, pp. 500-519
Persistent link: https://www.econbiz.de/10013464909
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The value of news for economic developments
Larsen, Vegard Høghaug; Thorsrud, Leif Anders - In: Journal of econometrics 210 (2019) 1, pp. 203-218
Persistent link: https://www.econbiz.de/10012303395
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Testing for common deterministic trend slopes
Vogelsang, Timothy J.; Franses, Philip Hans - In: Journal of econometrics 126 (2005) 1, pp. 1-24
Persistent link: https://www.econbiz.de/10002538623
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Business cycle durations
Filardo, Andrew J. - In: Journal of econometrics 85 (1998) 1, pp. 99-123
Persistent link: https://www.econbiz.de/10001240380
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Nonparametric evidence on asymmetry in business cycles using aggregate employment time series
Hussey, Robert Miller - In: Journal of econometrics 51 (1992) 1, pp. 217-231
Persistent link: https://www.econbiz.de/10001118267
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Variable selection, estimation and inference for multi-period forecasting problems
Pesaran, M. Hashem; Pick, Andreas; Timmermann, Allan - In: Journal of econometrics 164 (2011) 1, pp. 173-187
Persistent link: https://www.econbiz.de/10009270389
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A characterization of vector autoregressive processes with common cyclical features
Franchi, Massimo; Paruolo, Paolo - In: Journal of econometrics 163 (2011) 1, pp. 105-117
Persistent link: https://www.econbiz.de/10009270438
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Dynamic factors in the presence of blocks
Hallin, Marc; Liška, Roman - In: Journal of econometrics 163 (2011) 1, pp. 29-41
Persistent link: https://www.econbiz.de/10009270594
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An I(d) model with trend and cycles
Abadir, Karim Maher; Distaso, Walter; Giraitis, Liudas - In: Journal of econometrics 163 (2011) 2, pp. 186-199
Persistent link: https://www.econbiz.de/10009270611
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Monetary, fiscal and oil shocks : evidence based on mixed frequency structural FAVARs
Marcellino, Massimiliano; Sivec, Vasja - In: Journal of econometrics 193 (2016) 2, pp. 335-348
Persistent link: https://www.econbiz.de/10011704953