Uncertainty faced by individual firms appears to be heterogeneous. In this paper, I construct new empirical measures of firm-level uncertainty using data from the I/B/E/S and Compustat. These new measures reveal persistent differences in the degree of uncertainty facing individual firms not...

This paper investigates the relationship between uncertainty and economic activity in a DSGE model with sticky prices and credit frictions. We analyse the effect of a mean preserving shock to the variance of aggregate total factor productivity (macro uncertainty) and we compare it to the effect...

We propose a new empirical framework that jointly decomposes the conditional variance of economic time series into a common and a sector-specific uncertainty component. We apply our framework to a large dataset of disaggregated industrial production series for the US economy. Our results...

We propose a new empirical framework that jointly decomposes the conditional variance of economic time series into a common and a sector-specific uncertainty component. We apply our framework to a large dataset of disaggregated industrial production series for the US economy. Our results...

We propose a new empirical framework that jointly decomposes the conditional variance of economic time series into a common and a sector-specific uncertainty component. We apply our framework to a large dataset of disaggregated industrial production series for the US economy. Our results...

Banks often have to determine the credit worthiness, i.e. the ability to repay the loan, of their customers ex-ante. According to the theory of imperfect diagnosis, it can be rational not to use an informative diagnosis result, even though it can be acquired without costs. We call this...