Beaudry and Portier (2006) provide support for the "news view" of the business cycle, using a vector error correction model. We show that this result hinges on a cointegrating relationship between TFP and stock prices that is not stationary, thus making the estimates not reliable. If we alter...

In this paper we review the methodology of forecasting with log-linearised DSGE models using Bayesian methods. We focus on the estimation of their predictive distributions, with special attention being paid to the mean and the covariance matrix of h-step ahead forecasts. In the empirical...

In this paper we review the methodology of forecasting with log-linearised DSGE models using Bayesian methods. We focus on the estimation of their predictive distributions, with special attention being paid to the mean and the covariance matrix of h-step ahead forecasts. In the empirical...

We solve a canonical, estimated, medium-sized, open-economy New Keynesian model, cast it into a small-scale population vector autoregression, and assess whether best-practice structural identifications detect textbook "overshooting" after a monetary policy hike-i.e., an instant real appreciation...

The Financial Instability Hypothesis associated with Hyman Minsky has profound implications for the conduct of monetary policy in modern capitalist economies. At its core is the proposition that the central bank may contribute to the financial fragility of leveraged firms in its pursuit of...

All economists say that they want to take their models to the data. But with incomplete and highly imperfect data, doing so is difficult and requires carefully matching the assumptions of the model with the statistical properties of the data. The cointegrated VAR (CVAR) offers a way of doing so....

The price puzzle is the association in a structural vector autoregression (SVAR) of a contractionary shock to monetary policy with persistent increases in the price level. Various explanations have been investigated separately in the framework of small SVARs without any common set of variables...

Level vector autoregressive (VAR) models and vector error correction models (VECMs) are used extensively in empirical macroeconomic research. However, estimated level VAR models and VECMs may contain explosive roots, which is at odds with the widespread consensus among macroeconomists that roots...

There is a wide literature on the dynamic adjustment of employment and its relationship with the business cycle. Our aim is to propose a statistical model that offers a congruent representation of post-war UK labour market. We use a cointegrated vector autoregressive Markov-switching model where...

All economists say that they want to take their model to the data. But with incomplete and highly imperfect data, doing so is difficult and requires carefully matching the assumptions of the model with the statistical properties of the data. The cointegrated VAR (CVAR) offers a way of doing so....