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Modelling Nonlinear Economic Time Series (Hardcover)
Loot Price: R4,017
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Modelling Nonlinear Economic Time Series (Hardcover)
Series: Advanced Texts in Econometrics
Expected to ship within 12 - 19 working days
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This book contains an extensive up-to-date overview of nonlinear
time series models and their application to modelling economic
relationships. It considers nonlinear models in stationary and
nonstationary frameworks, and both parametric and nonparametric
models are discussed. The book contains examples of nonlinear
models in economic theory and presents the most common nonlinear
time series models. Importantly, it shows the reader how to apply
these models in practice. For this purpose, the building of various
nonlinear models with its three stages of model building:
specification, estimation and evaluation, is discussed in detail
and is illustrated by several examples involving both economic and
non-economic data. Since estimation of nonlinear time series models
is carried out using numerical algorithms, the book contains a
chapter on estimating parametric nonlinear models and another on
estimating nonparametric ones.
Forecasting is a major reason for building time series models,
linear or nonlinear. The book contains a discussion on forecasting
with nonlinear models, both parametric and nonparametric, and
considers numerical techniques necessary for computing multi-period
forecasts from them. The main focus of the book is on models of the
conditional mean, but models of the conditional variance, mainly
those of autoregressive conditional heteroskedasticity, receive
attention as well. A separate chapter is devoted to state space
models. As a whole, the book is an indispensable tool for
researchers interested in nonlinear time series and is also
suitable for teaching courses in econometrics and time series
analysis.
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