Nowcasting real GDP growth : comparison between old and new EU countries

Evzen Kocenda, Karen Poghosyan

We analyze the performance of a broad range of nowcasting and short-term forecasting models for a representative set of twelve old and six new member countries of the European Union (EU) that are characterized by substantial differences in aggregate output variability. In our analysis, we generate ex-post out-of-sample nowcasts and forecasts based on hard and soft indicators that come from a comparable set of identical data. We show that nowcasting works well for the new EU countries because, although that variability in their GDP growth data is larger than that of the old EU economies, the economic significance of nowcasting is on average somewhat larger.

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Year of publication:	[2020]
Authors:	Kočenda, Evžen ; Poghosyan, Karen
Publisher:	Prague : Institute of Economic Studies, Faculty of Social Sciences, Charles University in Prague
Subject:	Bayesian VAR \| dynamic and static principal components \| European OECD countries \| factor augmented VAR \| nowcasting \| real GDP growth \| short-term forecasting \| Nationaleinkommen \| National income \| VAR-Modell \| VAR model \| EU-Staaten \| EU countries \| Wirtschaftswachstum \| Economic growth \| Prognoseverfahren \| Forecasting model \| Bruttoinlandsprodukt \| Gross domestic product \| OECD-Staaten \| OECD countries \| Eurozone \| Euro area \| Wirtschaftsprognose \| Economic forecast