Welcome to my personal website.
Presently I am working at the Deutsche Bundesbank. Previously I worked as a Senior Economist at the German Council of Economic Experts. I received my Ph.D. in Economics from the Goethe University Frankfurt.
Research interests: Dynamic macroeconomics, monetary policy, fiscal policy, DSGE model estimation, real estate markets
Disclaimer: This is my personal website. The views expressed here are my own and do not necessarily reflect those of the Deutsche Bundesbank or the Eurosystem.
Abstract: This paper investigates the implications of monetary policy rules during the surge and subsequent decline of inflation in the euro area and compares them to the interest rate decisions of the European Central Bank (ECB). It focuses on versions of the Taylor (1993) and Orphanides and Wieland (OW) (2013) rules. Rules that respond to recent outcomes of HICP Core or domestic inflation data called for raising interest rates in 2021 and well ahead of the rate increases implemented by the ECB. Thus, such simple outcome-based policy rules deserve more attention in the ECB’s monetary policy strategy. Interestingly, the rules support the recent shift of the ECB to policy easing. Yet, they add a note of caution by suggesting that policy rates should not decline as fast as apparently anticipated by traded derivative-based interest rate forecasts.
Abstract: In this paper we adapt the Hamiltonian Monte Carlo (HMC) algorithm to Dynamic Stochastic General Equilibrium (DSGE) models, a method currently applied in various fields owing to its superior sampling and diagnostic properties. We implement it into a freely available state-of-the-art, high-performance software (Stan). We estimate a small-scale textbook New Keynesian model and the Smets-Wouters model using US data. We find that in particular cases the HMC algorithm is faster by over an order of magnitude compared to the standard sampling method. Our results and sampling diagnostics confirm the parameter estimates available in the existing literature. In addition, we find bimodality in the Smets-Wouters model even if we estimate it by using the original tight priors. Finally, we combine the HMC framework with the Sequential Monte Carlo (SMC) algorithm to create a powerful tool which enables us to estimate DSGE models with ill-behaved posterior densities.
Abstract: This paper examines the effectiveness of labor cost reductions as a means to stimulate economic activity and assesses the differences which may occur with the prevailing exchange rate regime. We develop a medium-scale three-region DSGE model and show that the impact of a cut in employers’ social security contributions rate does not vary significantly under different exchange rate regimes. We find that both the interest rate and the exchange rate channel matters. Furthermore, the measure appears to be effective even if it comes along with a consumption tax increase to preserve long-term fiscal sustainability. Finally, we assess whether obtained theoretical results hold up empirically by applying the local projection method. Regression results suggest that changes in employers’ social security contributions rates have statistically significant real effects – a one percentage point reduction leads to an average cumulative rise in output of around 1.3 percent in the medium term. Moreover, the outcome does not differ significantly across the different exchange rate regimes.
Abstract: I have assessed changes in the monetary policy stance in the euro area since its inception by applying a Bayesian time-varying parameter framework in conjunction with the Hamiltonian Monte Carlo algorithm. I find that the estimated policy response has varied considerably over time. Most of the results suggest that the response weakened after the onset of the financial crisis and while quantitative measures were still in place, although there are also indications that the weakening of the response to the expected inflation gap may have been less pronounced. I also find that the policy response has become more forceful over the course of the recent sharp rise in inflation. Finally, it is essential to model the stochastic volatility relating to deviations from the policy rule as it materially influences the results.
The Federal Reserve has been publishing federal funds rate prescriptions from Taylor rules in its Monetary Policy Report since 2017. The signals from the rules aligned with Fed action on many occasions, but in some cases the Fed opted for a different route. This paper reviews the implications of the rules during the coronavirus pandemic and the subsequent inflation surge and derives projections for the future. In 2020, the Fed took the negative prescribed rates, which were far below the effective lower bound on the nominal interest rate, as support for extensive and long-lasting quantitative easing. Yet, the calculations overstate the extent of the constraint, because they neglect the supply side effects of the pandemic. The paper proposes a simple model-based adjustment to the resource gap used by the rules for 2020. In 2021, the rules clearly signaled the need for tightening because of the rise of inflation, yet the Fed waited until spring 2022 to raise the federal funds rate. With the decline of inflation over the course of 2023, the rules’ prescriptions have also come down. They fall below the actual federal funds rate target range in 2024. Several caveats concerning the projections of the interest rate prescriptions are discussed.