Using data from the OECD Regional Well-Being Index – a set of quality-of-life indicators measured at the sub-national level – we construct a set of composite well-being indices. We analyze the extent to which the choice of five alternative aggregation methods affects the well-being ranking of regions. We find that regional inequality in these composite measures is lower than regional inequality in real GDP per capita. For most aggregation methods, the rank correlation across regions appears to be quite high. It is also shown that using alternative indices instead of GDP per capita would only have a small effect on the set of regions eligible for aid from EU Structural Funds. The exception appears to be an aggregation based on how individual dimensions relate to average life satisfaction across regions, which would substantially change both the ranking of regions and which regions would be eligible for EU funds.

The Halle Institute for Economic Research (IWH) was founded in 1992 and operates three research departments: Macroeconomics, Financial Markets, and Structural Change and Productivity. The IWH’s research structure is designed to foster close interplay between micro and macroeconomic research, however it has its roots in the empirical research conducted on the transition from a planned to a market economy, with a particular focus on East Germany.

A frequent criticism of GDP states that events that obviously reduce welfare of people can nevertheless increase GDP per capita. We use data of natural disasters as quasi experiments to examine whether alternatives to GDP (Human Development Index, Progress Index, Index of Economic Well-Being and a Happiness Index) lead to more plausible responses to disasters. Applying a Differences-in-Differences approach and estimates from various panels of countries we find no noteworthy differences between the response of real GDP per capita and the responses of suggested alternative welfare measures to a natural disaster except for the Human Development Index.

The federal action called Energiewende and the Renewable Energy Act (EEG) as part of it have produced hopes in Saxony-Anhalt which were particularly connected with the promotion of green technologies. This paper is composed of an impact analysis of subsidies in general and addresses the impacts of the EEG on companies. Therefore, results of a survey among companies are used that has been conducted in 2013 by the Chamber of Commerce and Industry (CCI) Halle-Dessau in the south of the German State of Saxony-Anhalt.

We discuss properties of alternatives or complements to GDP as a measure of welfare at business cycle frequencies. Our results imply that the suggested indicators show practically no cycle at all and their methodologies can be questioned. First, data are not available at an appropriate quality and frequency. Second, the suggested time series sometimes correlate negatively with each other. Third, cross-section and quasi-panel evidence based on different samples of countries reveals no impact of the stance of the business cycle on some suggested welfare measures. Therefore, alternative welfare measures do not show an equal picture on business cycle frequencies compared to GDP-based measures.