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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...
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We investigate the accuracy of ex ante assessments of vulnerability to poverty using cross-sectional data and panel … data. We use long-term panel data from Germany and apply different regression models, based on household covariates and … on cross-sectional data are much less accurate than those based on panel data, but for Germany, the accuracy of …
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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 …
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context, in terms of potential causes, a distinction is made between a rise in the global risk assessment, tensions within the … large part to monetary policy and to a minor extent to the risk assessment within the euro area. At the peak of the European …
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vector autoregression and model averaging techniques, where aggregation takes place before, during and after the estimation …
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estimation of the different models, respectively. We find that overall the large Bayesian VAR provides the most precise forecasts …
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