The VAR/SVAR (Vector Autoregressive and Structural Vector Autoregressive) models are the cornerstone of the contemporaneous empirical macroeconomic research, in particular for being able to measure the impact of fiscal policy shocks. They may be employed as atheoretical models, as well as a mean...

This working paper documents an econometric model for detecting turning points in the Danish economy in real time. The model is a mixedfrequency model using both monthly and quarterly data, which can be estimated on an unbalanced panel of data and be updated immediately as data comes through....

Despite strong economic growth since 2000, many low-income countries (LICs) still face numerous macroeconomic challenges, even prior to the COVID-19 pandemic. Despite the deceleration in real GDP growth during the 2008 global financial crisis, LICs on average saw 4.5 percent of real GDP growth...

The Morocco Policy Analysis model (MOPAM) was created in the Bank Al-Maghrib to simulate the impact of external developments, domestic macroeconomic policies, and structural reforms on key macroeconomic aggregates. We describe its structure and demonstrate its operation on two medium-term...

We consider a set of potentially misspecified structural models, geometrically combine their likelihood functions, and estimate the parameters using composite methods. In a Monte Carlo study, composite estimators dominate likelihood-based estimators in mean squared error and composite models are...

In this paper we take up the challenge to integrate new aspects into macroeconomic modelling and to consider economic activities from an outcome-oriented perspective, so called functionalities. The basic idea is, that functionalities lie behind the demand for commodities and services and...

In order to meet the climate targets as set out in the Paris agreement - i.e., to stay "well below 2 °C" of global warming - a transformation of the socio-economic system towards climate neutrality is required. This transformation is connected to radical changes in most aspects of our daily...