Much of the literature on interest rate pass through assumes banks set retail rates in relation to contemporary market rates. We argue that future rates also matter, and if forecasts of future rates are included, the empirical specifications of many previous studies are misspecified. Including...

Much of the literature on interest rate pass through assumes banks set retail rates in relation to contemporary market rates. We argue that future rates also matter, and if forecasts of future rates are included, the empirical specifications of many previous studies are misspecified. Including...

The recent financial crisis has underlined that banks no longer simply accumulate deposits and lend a fraction to their clients. Instead they use interbank markets and structured finance to increase their loan book. This has implications for the understanding of interest rate pass through since...

It is investigated whether euro area variables can be forecast better based on synthetic time series for the pre-euro period or by using just data from Germany for the pre-euro period. Our forecast comparison is based on quarterly data for the period 1970Q1-2003Q4 for 10 macroeconomic variables....

It is investigated whether Euro-area variables can be forecast better based on synthetic time series for the pre-Euro period or by using just data from Germany for the pre-Euro period. Our forecast comparison is based on quarterly data for the period 1970Q1 - 2003Q4 for ten macroeconomic...

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...

The development of models for variables sampled at different frequencies has attracted substantial interest in the recent econometric literature. In this paper we provide an overview of the most common techniques, including bridge equations, MIxed DAta Sampling (MIDAS) models, mixed frequency...

Small or medium-scale VARs are commonly used in applied macroeconomics for forecasting and evaluating the shock transmission mechanism. This requires the VAR parameters to be stable over the evaluation and forecast sample, or to explicitly consider parameter time variation. The earlier...