This paper examines the effect of demand on productivity. We exploit the Energy Policy Act of 2005 as a natural experiment which generated plausibly exogenous variation in the capacity of ethanol plants to establish the causal effect of demand on productivity within the corn sector. Using...

We propose a set of new quantitative measures to characterise more fully the features of economic recoveries. We apply these measures to post-war US expansions and use cluster analysis to determine that there are two different types of recoveries in recent US economic history, with most...

Motivated by the increased importance of trade between industrialized and less-developed countries, we build a DSGE model featuring comparative advantage and inter-industry trade to analyze business cycle dynamics of industrialized countries. We show that productivity shocks lead to shifts in...

Standard heterogeneous agent macro models that highlight idiosyncratic productivity shocks do not generate the near zero cross-sectional correlation between hours and wages found in the data. We ask whether matching this moment matters for business cycle properties of these models. To do this we...

Cycles play an important role when analyzing market phenomena. In many markets, both overlaying (weekly, seasonal or business cycles) and time-varying cycles (e.g. asymmetric lengths of peak and off peak or variation of business cycle length) exist simultaneously. Identification of these market...

In this paper business cycles are considered as a multivariate phenomenon and not as a univariate one determined e.g. by the GNP. The subject is to look for the number of phases of a business cycle, which can be motivated by the number of clusters in a given dataset of macro-economic variables....