Optimal monetary policy studies typically rely on a single structural model and identification of model-specific rules that minimize the unconditional volatilities of inflation and real activity. In our proposed approach, we take a large set of structural models and look for the model-robust...

Uncertainty about the choice of identifying assumptions is common in causal studies, but is often ignored in empirical practice. This paper considers uncertainty over models that impose different identifying assumptions, which can lead to a mix of point‐ and set‐identified models. We propose...

2013 wurde die Gemeinsame Agrarpolitik mit dem Ziel reformiert, die negativen Umweltwirkungen der Landwirtschaft zu senken. Um Fördergelder der EU zu erhalten, müssen Landwirte in der Förderperiode von 2014 bis 2022 auf ihren Flächen mit dem sogenannten „Greening“ bestimmte...

Renewables introduce new weather-induced patterns and risks for market participants active in the energy commodity sector. We present a flexible framework for power spot prices that is capable of incorporating a weather model for the joint distribution of local weather conditions. This not only...

We propose a framework for estimation and inference when the model may be misspecified. We rely on a local asymptotic approach where the degree of misspecification is indexed by the sample size. We construct estimators whose mean squared error is minimax in a neighborhood of the reference model,...

We propose a general protocol for calibration and validation of complex simulation models by an approach based on discovery and comparison of causal structures. The key idea is that configurations of parameters of a given theoretical model are selected by minimizing a distance index between two...

This paper provides an analysis of scenarios on the evolution of the EU GDP and aggregate consumption over the period 2020-2030, focusing on the role played by the COVID-19 shock. The gap between estimated precrisis trends and projected paths for three important variables are obtained using...

The primary objective of this paper is to revisit DSGE models with a view to bringing out their key weaknesses, including statistical misspecification, non-identification of deep parameters, substantive inadequacy, weak forecasting performance, and potentially misleading policy analysis. It is...

We propose a method to explore the causal transmission of an intervention through two endogenous variables of interest. We refer to the intervention as a catalyst variable. The method is based on the reduced-form system formed from the conditional distribution of the two endogenous variables...

We study an optimal robust monetary policy for a small open economy. The robust control approach assumes that economic agents cannot assign probabilities to a set of plausible models and rather focuses on the worst possible misspecification from a benchmark model. Our findings suggest that,...