This Handbook provides up-to-date coverage of both new developments and well-established
fields in the sphere of economic forecasting. The chapters are written by world experts in their
respective fields, and provide authoritative yet accessible accounts of the key concepts, subject
matter and techniques in a number of diverse but related areas. It covers the ways in which the
availability of ever more plentiful data and computational power have been used in forecasting,
either in terms of the frequency of observations, the number of variables, or the use of multiple
data vintages. Greater data availability has been coupled with developments in statistical theory
and economic theory to allow more elaborate and complicated models to be entertained; the volume
provides explanations and critiques of these developments. These include factor models, DSGE
models, restricted vector autoregressions, and non-linear models, as well as models for handling
data observed at mixed frequencies, high-frequency data, multiple data vintages, and methods for
forecasting when there are structural breaks, and how breaks might be forecast.
Also covered are areas which are less commonly associated with economic forecasting, such as
climate change, health economics, long-horizon growth forecasting, and political elections.
Econometric forecasting has important contributions to make in these areas, as well as their
developments informing the mainstream. In the early 21st century, climate change and the
forecasting of health expenditures and population are topics of pressing importance.
Available in OSO:
http://www.oxfordhandbooks.com/oso/public/content/oho_economics/97801953...
