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Forecasting and turing point predictions in a Bayesian panel VAR model
Canova, Fabio; Ciccarelli, Matteo - In: Journal of econometrics 120 (2004) 2, pp. 327-359
Persistent link: https://www.econbiz.de/10002028641
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Forecasting financial and macroeconomic variables using data reduction methods : new empirical evidence
Kim, Hyun Hak; Swanson, Norman R. - In: Journal of econometrics 178 (2014) 1, pp. 352-367
Persistent link: https://www.econbiz.de/10010256842
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Data revisions and DSGE models
Galvão, Ana Beatriz C. - In: Journal of econometrics 196 (2017) 1, pp. 215-232
Persistent link: https://www.econbiz.de/10011743799
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A multi-country approach to forecasting output growth using PMIs
Chudik, Alexander; Grossman, Valerie; Pesaran, M. Hashem - In: Journal of econometrics 192 (2016) 2, pp. 349-365
Persistent link: https://www.econbiz.de/10011704721
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Large time-varying parameter VARs
Koop, Gary; Korobilis, Dimitris - In: Journal of econometrics 177 (2013) 2, pp. 185-198
Persistent link: https://www.econbiz.de/10010254877
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Structural analysis with Multivariate Autoregressive Index models
Carriero, Andrea; Kapetanios, George; Marcellino, … - In: Journal of econometrics 192 (2016) 2, pp. 332-348
Persistent link: https://www.econbiz.de/10011704654
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A computationally efficient method for vector autoregression with mixed frequency data
Qian, Hang - In: Journal of econometrics 193 (2016) 2, pp. 433-437
Persistent link: https://www.econbiz.de/10011704991
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Bayesian compressed vector autoregressions
Koop, Gary; Korobilis, Dimitris; Pettenuzzo, Davide - In: Journal of econometrics 210 (2019) 1, pp. 135-154
Persistent link: https://www.econbiz.de/10012303386
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Large Bayesian vector autoregressions with stochastic volatility and non-conjugate priors
Carriero, Andrea; Clark, Todd E.; Marcellino, Massimiliano - In: Journal of econometrics 212 (2019) 1, pp. 137-154
Persistent link: https://www.econbiz.de/10012303905
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Adaptive hierarchical priors for high-dimensional vector autoregressions
Korobilis, Dimitris; Pettenuzzo, Davide - In: Journal of econometrics 212 (2019) 1, pp. 241-271
Persistent link: https://www.econbiz.de/10012303926