“...This paper studies the properties of iterated and direct multistep forecasting techniques in the presence of in-sample location shifts (breaks in the mean). It...”

“...This paper surveys the literature on multi‐step forecasting when the model or the estimation method focuses directly on the link between the forecast origin...”

“...We study learning dynamics in a prototypical representative-agent forward-looking model in which agents’ beliefs are updated using linear learning algorithms...”

“...To forecast at several, say h, periods into the future, a modeller faces a choice between iterating one-step-ahead forecasts (the IMS technique), or directly...”

“...Identification of structural parameters in models with adaptive learning can be weak, causing standard inference procedures to become unreliable. Learning also...”

“...This paper studies the low frequency dynamics in forward looking models where expectations are formed using perpetual learning such as constant gain least...”

“...Long-run restrictions are a very popular method for identifying structural vector autoregressions, but they suffer from weak identification when the data is...”