This paper studies the challenge that increasing the inflation target poses to equilibrium determinacy in a medium-sized New Keynesian model without indexation fitted to the Great Moderation era. For moderate targets of the inflation rate, such as 2 or 4 percent, the probability of determinacy...

In long-term US stock market data the price-dividend ratio strongly predicts future inflation with a positive slope coefficient up to the mid 1970s. Thereafter, the predictability turns negative. We argue that this phenomenon reflects money illusion that disappears during the 1970s. We develop a...

This paper considers the problem of testing for structural changes in the trend function of a univariate time series without any prior knowledge as to whether the noise component is stationary or contains an autoregressive unit root. We propose a new approach that builds on the work of Perron...

This paper investigates the asymptotic local power of the the averaged t-test of Im, Pesaran and Shin (2003, IPS hereafter) in the presence of both initial explosive conditions and incidental trends. By utilizing the least squares detrending methods, it is found that the initial condition plays...

We analyze the impact of price stability-oriented monetary strategies (inflation targeting — IT — and constraining exchange rate arrangements) on inflation persistence using a time-varying coefficients framework in a panel of 68 countries (1993–2013). We show that explicit IT has a...

Unemployment represents one of the major problems in modern economies. In order to create appropriate measures for its reduction, it is necessary to know the exact relationship between the NAIRU (Non-Accelerating Inflation Rate of Unemployment) and the actual unemployment rate. Therefore, this...

We examine the credit channel of monetary policy from 2000 to 2015 in the Euro Area using daily monetary policy shock and credit risk measures in an autoregressive distributed lag model. We find that an expansionary monetary policy shock leads to a short-run increase in the credit risk of...

This paper develops a method for forecasting a nonstationary time series, such as GDP, using a set of high-dimensional panel data as predictors. To this end, we use what is known as a factor augmented regression [FAR] model that contains a small number of estimated factors as predictors; the...

For the large family of ARMA models with variable coefficients we provide an explicit and computationally tractable solution representation, which yields the fundamental properties of such processes, including the Wold-Cramer decomposition and the covariance structure. These results are founded...

This article provides an introduction to methods and challenges underlying application of the bootstrap in econometric modelling of economic and financial time series. Validity, or asymptotic validity, of the bootstrap is discussed as this is a key element in deciding whether the bootstrap is...