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...

This paper analyzes the performance of the monthly economic policy uncertainty (EPU) index in predicting recessionary regimes of the (quarterly) U.S. GDP. In this regard, the authors apply a mixed-frequency Markov-switching vector autoregressive (MF-MSVAR) model, and compare its in-sample and...

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...

We assess the effectiveness of the forward guidance undertaken by European Central Bank using a standard medium-scale DSGE model à la Smets and Wouters (2007). Exploiting data on expectations from surveys, we show that incorporating expectations should be crucial in performance evaluation of...

DSGE models are a prominent tool for forecasting at central banks and the competitive forecasting performance of these models relative to alternatives-including official forecasts has been documented. When evaluating DSGE models on an absolute basis, however, we find that the benchmark estimated...

This paper investigates within a SVAR framework the effects of anticipated monetary policy in the euro area. Building on a procedure recently proposed by Cochrane yielding the response of output to an anticipated monetary policy impulse, we show that in the past twenty years anticipated monetary...

This paper investigates within a SVAR framework the effects of anticipated monetary policy in the euro area. Building on a procedure recently proposed by Cochrane which yields the response of output to an anticipated monetary policy impulse, we show that in the past twenty years anticipated...

Structural vector-autoregressive models are potentially very useful tools for guiding both macro- and microeconomic policy. In this paper, we present a recently developed method for exploiting non-Gaussianity in the data for estimating such models, with the aim of capturing the causal structure...

This paper attempts to extend empirical investigations about the asymmetric effects of monetary shocks in the Brazilian economy. We specify and estimate a nonlinear smooth transition vector autoregressive model including output, price level, exchange rate and a monetary policy indicator (Selic...

We consider estimation and inference about the effects of a policy in the absence of a control group. We obtain unbiased estimators of individual (heterogeneous) treatment effects and a consistent and asymptotically normal estimator of the average treatment effects, based on forecasting...