Showing 1 - 10 of 57
This paper applies component-wise boosting to the topic of regional economic forecasting. Component-wise boosting is a pre-selection algorithm of indicators for forecasting. By using unique quarterly real gross domestic product data for two German states (the Free State of Saxony and...
Persistent link: https://www.econbiz.de/10011584856
We investigate the relationship between article title characteristics and citations in economics using a large data set from Web of Science. Our results suggest that articles with a short title that also contains a non-alphanumeric character achieve a higher citation count.
Persistent link: https://www.econbiz.de/10011584934
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...
Persistent link: https://www.econbiz.de/10011584958
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...
Persistent link: https://www.econbiz.de/10010531825
This articles investigates the recent trends in co-authorship in economics. Using data from more than 700.000 journal articles we show that the average number of authors per article has increased over the last years. This process is likely to be continued in the future. In a regression analysis...
Persistent link: https://www.econbiz.de/10011388169
In this paper we assess the information content of seven widely cited early indicators for the euro area with respect to forecasting area-wide industrial production. To this end, we use various tests that are designed to compare competing forecast models. In addition to the standard...
Persistent link: https://www.econbiz.de/10010270868
This paper looks into the ’fine print’ of boosting for economic forecasting. By using German industrial production for the period from 1996 to 2014 and a data set consisting of 175 monthly indicators, we evaluate which indicators get selected by the boosting algorithm over time and four...
Persistent link: https://www.econbiz.de/10011431219
We construct a meta–ranking of 315 economics journals based on 38 different individual rankings. Our ranking incorporates both bibliometric measures from three different databases (Web of Knowledge, RePEc and Google Scholar) and previous rankings in the literature. Furthermore, we account for...
Persistent link: https://www.econbiz.de/10011431259
The use of large datasets for macroeconomic forecasting has received a great deal of interest recently. Boosting is one possible method of using high-dimensional data for this purpose. It is a stage-wise additive modelling procedure, which, in a linear specification, becomes a variable selection...
Persistent link: https://www.econbiz.de/10010292498
In this paper we present the Ifo Investment Database, which provides annual investment data for 12 investment assets in 50 German industries from 1991 onward. The data is consistent with national accounts statistics provided by the German Federal Statistical Office and is based on investments in...
Persistent link: https://www.econbiz.de/10010292503