In this paper, a Quantile Regression for Counts Model (QRCM) is used to accommodate the discrete nature of the contract duration variable. Our results show that important time-variant variables behave differently at the tails of the distribution.

This paper develops a recursive VAR bootstrapping approach to produce time series measures of nominal and real uncertainty. The method is applied to US data and results compared to measures based on the Survey of Professional Forecasters.