We show how to improve the accuracy of real-time forecasts from models that include autoregressive terms by estimating the models on "lightly-revised" data instead of using data from the latest-available vintage. Forecast accuracy is improved by reorganizing the data vintages employed in the...

Macroeconomic data are subject to revision over time as later vintages are released, yet the usual way of generating real-time out-of-sample forecasts from models effectively makes no allowance for this form of data uncertainty. We analyse a simple method which has been used in the context of...

We build a time varying DSGE model with financial frictions in order to evaluate changes in the responses of the macroeconomy to financial friction shocks. Using US data, we find that the transmission of the financial friction shock to economic variables, such as output growth, has not changed...