Recursively identified vector autoregressive (VAR) models often lead to a counterintuitive response of prices (and output) shortly after a monetary policy shock. To overcome this problem, we propose to estimate the VAR parameters under the restriction that economic theory is not violated, while...

We examine the asymmetric impact of shocks to macroeconomic expectations and their underlying dispersion on equity risk premia across different market regimes. First, we rely on a two-state logit mixture vector autoregressive model and use Consensus Economics survey data on GDP growth,...

In this paper, we provide evidence for a risk-taking channel of monetary policy transmission in the euro area that works through an increase in shadow banks' total asset growth and their risk assets ratio. Our dataset covers the period 2003Q1 - 2017Q3 and includes, in addition to the standard...

In this paper, we provide evidence for a risk-taking channel of monetary policy transmission in the euro area that works through the relaxation of lending standards for borrowers. Our dataset covers the period 2003Q1-2016Q2 and includes, in addition to the standard variables for real GDP growth,...

In this paper, we estimate a logit mixture vector autoregressive (Logit-MVAR) model describing monetary policy transmission in the euro area over the period 1999-2015. MVARs allow us to differentiate between different states of the economy. In our model, the time-varying state weights are...

We estimate a logit mixture vector autoregressive model describing monetary policy transmission in the euro area over the period 2003Q1–2019Q4 with a special emphasis on credit conditions. With the help of this model, monetary policy transmission can be described as mixture of two states...

We empirically analyze the effect of UN and US economic sanctions on life expectancy and its gender gap in target countries. Our sample covers 98 less developed and newly industrialized countries over the period 1977-2012. We employ a matching approach to account for the endogeneity of...

The empirical literature of stock market predictability mainly suffers from model uncertainty and parameter instability. To meet this challenge, we propose a novel approach that combines the documented merits of diffusion indices, regime-switching models, and forecast combination to predict the...

Although international sanctions are a widely used instrument of coercion, their economic effects are still not fully understood. This study uses a novel dataset and an event study approach to evaluate the economic consequences of international sanctions, thereby accounting for pre-treatment...

This paper retraces how financial stability considerations interacted with U.S. monetary policy before and during the Great Recession. Using text-mining techniques, we construct indicators for financial stability sentiment expressed during testimonies of four Federal Reserve Chairs at...