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...

This paper explores the importance of housing and mortgage market heterogeneity in 13 European countries for the transmission of monetary policy. We use a pooled VAR model which is estimated over the period 1995-2006 to generate impulse responses of key macroeconomic variables to a monetary...

This paper explores the importance of housing and mortgage market heterogeneity in 12 European countries for the transmission of monetary policy. We use a panel VAR model which is estimated over the period 1995-2006 to generate impulse responses of key macroeconomic variables to a monetary...

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...

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...

This paper investigates how inflation expectations evolve. In particular, we analyze the time-varying nature of the propensity to update expectations and its potential determinants. For this purpose we set up a flexible econometric model that tracks the formation of inflation expectations of...

We propose a classical approach to estimate factor-augmented vector autoregressive (FAVAR) models with time variation in the factor loadings, in the factor dynamics, and in the variance-covariance matrix of innovations. When the time-varying FAVAR is estimated using a large quarterly dataset of...

This paper proposes a novel and flexible framework to estimate autoregressive models with time-varying parameters. Our setup nests various adaptive algorithms that are commonly used in the macroeconometric literature, such as learning-expectations and forgetting-factor algorithms. These are...

This paper estimates the path of inflation persistence in the United States over the last 50 years and draws implications about the evolution of the Federal Reserve's monetary-policy preferences. Standard models of central bank optimization predict that the central bank's preference for output...

Using US data from June 1984 to July 1999, we show that the impact of firm-specificcharacteristics like size and book-to-price on future excess stock returns varies considerably overtime. The impact can be either positive or negative at different times. This time variation ispartially...