In this paper we transfer the Elo rating system, which is widely accepted in chess, sports and other disciplines, to rank scientific journals. The advantage of the Elo system is the explicit consideration of the factor time or the history of a journal's performance. Most other rankings that are...

Seit April dieses Jahres hat sich das Infektionsgeschehen mit dem Coronavirus in Deutschland deutlich verlangsamt und der Fortschritt bei den Impfungen gegen Covid­19 an Tempo gewonnen. Damit dürften die bestehenden wirtschaftlichen Beschränkungen allmählich aufgehoben werden, so dass einer...

In this paper, we ask whether it is possible to forecast gross value-added (GVA) and its sectoral subcomponents at the regional level. With an autoregressive distributed lag model we forecast total and sectoral GVA for one German state (Saxony) with more than 300 indicators from different...

In this paper, we assess the accuracy of macroeconomic forecasts at the regional level using a unique data set at quarterly frequency. We forecast gross domestic product (GDP) for two German states (Free State of Saxony and Baden-Württemberg) and Eastern Germany. We overcome the problem of a...

Prognosen der wirtschaftlichen Entwicklung auf regionaler Ebene sind bisher eher selten in der wissenschaftlichen Literatur und in der Praxis vorzufinden. Dies ist vor allem auf das Fehlen von Quartalsdaten und der nur wenigen potenziellen Indikatoren auf regionaler Ebene zurückzuführen. Der...

In this paper, we assess the accuracy of macroeconomic forecasts at the regional level using a large data set at quarterly frequency. We forecast gross domestic product (GDP) for two German states (Free State of Saxony and Baden- Württemberg) and Eastern Germany. We overcome the problem of a...

Over the last decade, the topic of regional economic forecasting has become increasingly prevalent in academic literature. The most striking problem in this context is data availability at a regional level. However, considerable methodological improvements have been made to address this problem....

We tackle the nowcasting problem at the regional level using a large set of indicators (regional, national and international) for the years 1998 to 2013. We explicitly use the ragged-edge data structure and consider the different information sets faced by a regional forecaster within each...