Empirical research in general and macroeconomic simulation and forecasting models in particular are used to understand the future impact of structural changes on the economy, society and the environment and to support the ex-ante evaluation of policy measures.

GWS mbH has specialised in a macroeconometric, input-output-based modelling approach. It follows a bottom-up approach in which the overall economic development results from events in the individual sectors of the economy.

Our models are empirically sound and are based on publicly available data sets from regional, national and international statistical offices. Depending on the issue at hand, these can be supplemented with additional data sets (e.g. labour market, energy & climate, foreign trade).

In the models, the data is contextualised according to theoretical explanatory approaches, these correlations are empirically tested and regularly updated. The performance of the developed models is tested for their projection capability and assumptions are verified with expert knowledge. Qualitative assessments by experts play an important role in this process.

The GWS models are used for forecasts, projections and above all for ‘what-if’ analyses of labour market, energy, resource and climate policy issues. One focus is on the macroeconomic evaluation of different developments and options for action, both in individual countries and their regions as well as globally.

Further information can be found in the sections

• Economy and social issues
• Energy and climate
• Global developments and resources