We develop a quantitative theoretical model of firm dynamics to analyze key determinants of the elasticity of exports with respect to the exchange rate. The model incorporates mechanisms that determine the firms? capacity to react when the profitability of exports change due to fluctuations in...

The paper uses MULTIMOD to examine the implications of uncertain exchange rate pass-through for the conduct of monetary policy. From the policymaker's perspective, uncertainty about exchange rate pass-through implies uncertainty about policy multipliers and the impact of state variables on...

The degree of exchange-rate pass-through to import prices is low. An average pass-through estimate for the 1980s would be roughly 50 percent for the United States implying that, following a 10 percent depreciation of the dollar, a foreign exporter selling to the U.S. market would raise its price...

We use a vector error correction model to study the long-term relationship between aggregate expected default frequency and the macroeconomic development, i.e. CPI, industry production and short-term interest rate. The model is used to forecast the median expected default frequency of the...

Have the macroeconomic effects of QE programs been overestimated empirically? Using a large set of model specifications that differ in the degree of time-variation in parameters, the answer is yes. Our forecasting exercise suggests that it is crucial to allow for time-variation in parameters,...

This paper studies how United States (US) policy actions impacted mortgage-backed securities (MBS) investors and mortgage borrowers during the subprime mortgage crisis of 2007 to 2010. The effects of the following policy actions on MBS spreads and mortgage lending spreads are studied: (i) US...

Measuring the quantitative effects of monetary policy on the economy has been playing a central role in promoting economic growth and stability. However, in the presence of numerous macroeconomic variables, traditional vector autoregression (VAR) could only accommodate a few data series, and...

The use of large datasets for macroeconomic forecasting has received a great deal of interest recently. Boosting is one possible method of using high-dimensional data for this purpose. It is a stage-wise additive modelling procedure, which, in a linear specification, becomes a variable selection...