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Forecasting German key macroeconomic variables using large dataset methods
Pirschel, Inske; Wolters, Maik H. - 2014
We study the forecasting performance of three alternative large scale approaches using a dataset for Germany that consists of 123 variables in quarterly frequency. These three approaches handle the dimensionality problem evoked by such a large dataset by aggregating information, yet on different...
Persistent link: https://www.econbiz.de/10010357899
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Comparing the forecasting performances of linear models for electricity prices with high RES penetration
Gianfreda, Angelica; Ravazzolo, Francesco; Rossini, Luca - In: International journal of forecasting 36 (2020) 3, pp. 974-986
Persistent link: https://www.econbiz.de/10012497125
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Stock market price indices modelling by a small scale Bayesian VAR : the case of British FTSE and German DAX index
Bikár, Miloš; Hodula, Martin - In: Ekonomický časopis : časopis pre ekonomickú … 64 (2016) 8, pp. 737-750
Persistent link: https://www.econbiz.de/10011582851
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Forecasting with large datasets : compressing information before, during or after the estimation?
Pirschel, Inske; Wolters, Maik H. - In: Empirical economics : a journal of the Institute for … 55 (2018) 2, pp. 573-596
Persistent link: https://www.econbiz.de/10011949851
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Comparing the forecasting performances of linear models for electricity prices with high RES penetration
Gianfreda, Angelica; Ravazzolo, Francesco; Rossini, Luca - 2018
Persistent link: https://www.econbiz.de/10011798864
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Bayesian Compression for Mixed Frequency Vector Autoregressions : A Forecast Study for Germany
Götz, Thomas - 2018
Up until now, the concept of compression in single- or multivariate regressions has been limited to the common-frequency case. Having an application of macroeconomic forecasting in mind, one inevitably has to deal with variables sampled at various frequencies. Consequently, this work attempts to...
Persistent link: https://www.econbiz.de/10012912645
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Forecasting German key macroeconomic variables using large dataset methods : conference paper
Pirschel, Inske; Wolters, Maik H. - 2014
We study the forecasting performance of three alternative large scale approaches for German key macroeconomic variables using a dataset that consists of 123 variables in quarterly frequency. These three approaches handle the dimensionality problem evoked by such a large dataset by aggregating...
Persistent link: https://www.econbiz.de/10010489849
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Panel forecasts of country-level Covid-19 infections
Liu, Laura; Moon, Hyungsik Roger; Schorfheide, Frank - In: Journal of econometrics 220 (2021) 1, pp. 2-22
Persistent link: https://www.econbiz.de/10012618232
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Analysing and forecasting price dynamics across euro area countries and sectors : a panel VAR approach
Dées, Stéphane; Güntner, Jochen - 2014
This paper uses a panel VAR (PVAR) approach to estimating, analysing and forecasting price dynamics in four different …
Persistent link: https://www.econbiz.de/10010411883
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Measuring vulnerability to poverty using long-term panel data
Landau, Katja; Klasen, Stephan; Zucchini, Walter - 2012
panel data. We use long-term panel data from Germany and apply different regression models, based on household covariates …. Estimates based on cross-sectional data are much less accurate than those based on panel data, but for Germany, the accuracy of … vulnerability predictions is limited even when panel data are used. In part this low accuracy is due to low poverty incidence and …
Persistent link: https://www.econbiz.de/10010358150