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This thoroughly revised second edition of an upper-level
undergraduate/graduate text describes many major techniques of
forecasting used in economics and business. This is the only time
series book to concentrate on the forecasting of economic data and
to cover such a broad range of topics. The key features are:
explains how to specify and evaluate simple models from the time
series and econometric approaches; places special emphasis on the
information that is derived from the evaluation and combinations of
forecasts; discusses the topics of technological and population
forecasting; includes an expanded chapter on regression techniques;
presents a practical forecasting project which runs throughout the
text; includes an appendix on basic statistical concepts.
This thoroughly revised second edition of an upper-level
undergraduate/graduate text describes many major techniques of
forecasting used in economics and business. This is the only time
series book to concentrate on the forecasting of economic data and
to cover such a broad range of topics. Its key features are: gives
a complete description, with applications, of the Box-Jenkins
single series modeling techniques; extends the Box-Jenkins
techniques to multivariate cases; compares forecasts from purely
statistical and econometric models; pays careful attention to such
problems as how to evaluate and compare forecasts; covers
nonstationary and nonlinear models, co-integration and
error-correction models.
In this interesting survey of recent developments in the field of
cointegration, the authors discuss how cointegration (the linking
of long run components of a pair or of a group or series), can be
used to discuss some types of equilibrium and to introduce those
equilibria into time-series models in a fairly uncontroversial way.
The authors discuss the basic ideas in their introduction and the
final chapters review the most recent developments in the field in
a non-technical manner.
About the Series
Advanced Texts in Econometrics is a distinguished and rapidly
expanding series in which leading econometricians assess recent
developments in such areas as stochastic probability, panel and
time series data analysis, modeling, and cointegration. In both
hardback and affordable paperback, each volume explains the nature
and applicability of a topic in greater depth than possible in
introductory textbooks or single journal articles. Each definitive
work is formatted to be as accessible and convenient for those who
are not familiar with the detailed primary literature.
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