Books > Business & Economics > Economics > Econometrics
|
Buy Now
Applied Economic Forecasting using Time Series Methods (Hardcover)
Loot Price: R3,202
Discovery Miles 32 020
|
|
Applied Economic Forecasting using Time Series Methods (Hardcover)
Expected to ship within 9 - 15 working days
|
Economic forecasting is a key ingredient of decision making both in
the public and in the private sector. Because economic outcomes are
the result of a vast, complex, dynamic and stochastic system,
forecasting is very difficult and forecast errors are unavoidable.
Because forecast precision and reliability can be enhanced by the
use of proper econometric models and methods, this innovative book
provides an overview of both theory and applications. Undergraduate
and graduate students learning basic and advanced forecasting
techniques will be able to build from strong foundations, and
researchers in public and private institutions will have access to
the most recent tools and insights. Readers will gain from the
frequent examples that enhance understanding of how to apply
techniques, first by using stylized settings and then by real data
applications-focusing on macroeconomic and financial topics. This
is first and foremost a book aimed at applying time series methods
to solve real-world forecasting problems. Applied Economic
Forecasting using Time Series Methods starts with a brief review of
basic regression analysis with a focus on specific regression
topics relevant for forecasting, such as model specification
errors, dynamic models and their predictive properties as well as
forecast evaluation and combination. Several chapters cover
univariate time series models, vector autoregressive models,
cointegration and error correction models, and Bayesian methods for
estimating vector autoregressive models. A collection of special
topics chapters study Threshold and Smooth Transition
Autoregressive (TAR and STAR) models, Markov switching regime
models, state space models and the Kalman filter, mixed frequency
data models, nowcasting, forecasting using large datasets and,
finally, volatility models. There are plenty of practical
applications in the book and both EViews and R code are available
online.
General
Imprint: |
Oxford UniversityPress
|
Country of origin: |
United States |
Release date: |
April 2018 |
Authors: |
Eric Ghysels
(Edward M. Bernstein Distinguished Professor of Economics and Professor of Finance)
• Massimiliano Marcellino
(Professor of Econometrics)
|
Dimensions: |
259 x 185 x 42mm (L x W x T) |
Format: |
Hardcover
|
Pages: |
616 |
ISBN-13: |
978-0-19-062201-5 |
Categories: |
Books >
Business & Economics >
Economics >
Econometrics >
General
|
LSN: |
0-19-062201-6 |
Barcode: |
9780190622015 |
Is the information for this product incomplete, wrong or inappropriate?
Let us know about it.
Does this product have an incorrect or missing image?
Send us a new image.
Is this product missing categories?
Add more categories.
Review This Product
No reviews yet - be the first to create one!
|
|
Email address subscribed successfully.
A activation email has been sent to you.
Please click the link in that email to activate your subscription.