Showing 1 - 10 of 18
This study uses scenario calculations to estimate the economic costs of the partial closure of the economy due to the coronavirus epidemic. With a shutdown duration of two months, the costs reach between EUR 255 billion and EUR 495 billion, depending on the scenario, and reduce the annual growth...
Persistent link: https://www.econbiz.de/10012237655
This paper presents scenarios of the shutdown costs in terms of lost value added for Austria, France, Italy, Germany, Spain, Switzerland and UK. The shutdown phase will lead to considerable production losses and large declines in GDP this year. Lasting longer than a month, the losses within the...
Persistent link: https://www.econbiz.de/10012237659
This note presents the results of two ad-hoc questions on the impact of the corona-crisis, which were included in the April-wave of the European Commission's Joint Harmonised EU Programme of Business Surveys. The questions were asked to German, Spanish and Austrian firms in the industry,...
Persistent link: https://www.econbiz.de/10012237665
Persistent link: https://www.econbiz.de/10003555588
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/10009721990
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/10009721997
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/10011557750
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/10011411839
The monthly ifo Business Survey is the basis for numerous economic indicators, such as the ifo Business Climate Index Germany. Moreover, the anonymized micro data can be used for a wide range of research projects. In order to obtain robust results, the panel of survey participants must be large...
Persistent link: https://www.econbiz.de/10013288035
In the monthly ifo Business Survey around 9,000 German companies answer questions about their current business situation, expectations and plans for the near future as well as on other business variables. This paper provides an overview of all regular questions (monthly, quarterly, bi-annually,...
Persistent link: https://www.econbiz.de/10013170991