Forecasting has always been at the forefront of decision making and planning. The
uncertainty that surrounds the future is both exciting and challenging, with individuals and …

This chapter surveys recent developments in the evaluation of point forecasts. Taking West's
(2006) survey as a starting point, we briefly cover the state of the literature as of the time of …

The Diebold–Mariano (DM) test was intended for comparing forecasts; it has been, and
remains, useful in that regard. The DM test was not intended for comparing models. Much of …

This chapter discusses recent developments in inflation forecasting. We perform a horse-
race among a large set of traditional and recently developed forecasting methods, and …

The US Energy Information Administration (EIA) regularly publishes monthly and quarterly
forecasts of the price of crude oil for horizons up to 2 years, which are widely used by …

We construct a monthly real-time dataset consisting of vintages for 1991.1–2010.12 that is
suitable for generating forecasts of the real price of oil from a variety of models. We …

Forecasts guide decisions in all areas of economics and finance and their value can only be
understood in relation to, and in the context of, such decisions. We discuss the central role of …

Short-term forecasts of traditional streams from public health reporting (such as cases,
hospitalizations, and deaths) are a key input to public health decision-making during a …

In the past ten years, researchers have explored the impact of data revisions in many
different contexts. Researchers have examined the properties of data revisions, how …

We evaluate the predictive power of leading indicators for output growth at horizons up to 1
year. We use the MIDAS regression approach as this allows us to combine multiple …