The short-run increase in prices following an unexpected tightening of monetary policy represents a frequently reported puzzle. Yet the puzzle is easy to explain away when all published models are quantitatively reviewed. We collect and examine about 1,000 point estimates of impulse responses...

In this paper, we provide evidence on the nature and the relative importance of domestic and foreign shocks in Slovak economy based on block-restriction vector autoregression model in 1999-2007. We document well-functioning monetary transmission mechanism in Slovakia. Subject to various...

We investigate the evolution of the monetary policy transmission mechanism in the Czech Republic over the 1996-2010 period by employing a time-varying parameters Bayesian vector autoregression model with stochastic volatility. We evaluate whether the response of GDP and the price level to...

We examine the determinants of the dissent in central bank boards' voting records about monetary policy rates in the Czech Republic, Hungary, Sweden, the U.K. and the U.S. In contrast to previous studies, we consider about 25 different macroeconomic, financial, institutional, psychological or...

We construct and explore a new quarterly dataset covering crisis episodes in 40 developed countries over 1970-2010. First, we examine stylized facts of banking, debt, and currency crises. Using panel vector autoregression, we confirm that currency and debt crises are typically preceded by...

We provide a critical review of the literature on early warning indicators of economics crises and propose methods to overcome several pitfalls of the previous contributions. We use a quarterly panel of 40 EU and OECD countries for the period 1970-2010. As the response variable, we construct a...

The transmission of monetary policy to the economy is generally thought to have long and variable lags. In this paper we quantitatively review the modern literature on monetary transmission to provide stylized facts on the average lag length and the sources of variability. We collect 67...