Shocks to the marginal efficiency of investment are the most important drivers of business cycle fluctuations in U.S. output and hours. Moreover, like a textbook demand shock, these disturbances drive prices higher in expansions. We reach these conclusions by estimating a dynamic stochastic...

We address the identification of low-frequency macroeconomic shocks, such as technology, in Structural Vector Autoregressions. Whilst identification issues with long-run restrictions are well documented, we demonstrate that the recent attempt to overcome said issues using the Max-Share approach...

In this paper we challenge the view that the oil price has lost its influence on economic activity after the mid-1980s. While we concede that typical VAR models put forward in the literature fail to identify oil price shocks that significantly affect aggregate production, we obtain clearly...

In this paper we challenge the view that the oil price has lost its influence on economic activity after the mid-1980s. While we concede that typical VAR models put forward in the literature fail to identify oil price shocks that significantly affect aggregate production, we obtain clearly...

Within the framework of the Basel III capital regulation, macroprudential authorities may order the accumulation of countercyclical capital buffers in the period when systemic risks are building up. According to recommendations, it is worth setting the size of the capital buffer on the basis of...

What were the economic consequences of the 2007/08 oil price hike for Germany? In this paper we use a structural vector autoregressive model to study the effects of oil price changes driven by different supply and demand shocks on the German economy. We find that a higher oil bill always stifles...

What drives aggregate fluctuations? In order to test recent theories on the importance of macroeconomic and firm-level shocks, I estimate a dynamic factor model with firm-level data. Each time series, the sales growth of a specific firm, is decomposed in an unobserved common macroeconomic...

The short article is focused on four issues associated with challenges in estimating and forecasting economic trends during financial crises: difficulties in forecasting the eruption of a large-scaled financial crisis, evaluation of some high-frequency modeling techniques, comparison of two...

This paper studies optimal macroeconomic policy when nonlinearity in the business cycle is described by a vector smooth transition autoregression (VSTAR). A structural identification of the VSTAR that yields a low-dimension and certainty-equivalent nonlinear quadratic regulator (NLQR) problem is...

Previous studies have shown that linear models are incapable of capturing business cycle dynamics with accuracy. This has brought interest in non-linear models such as the Markov switching (MS) regime technique, which can distinguish business cycle recession and expansion phases, and is...