You are in: Middle East
Change location

You are here

Book > Academic Books > Quantitative/Statistical Research (General)

Disable VAT on Taiwan

Unfortunately, as of 1 January 2020 SAGE Ltd is no longer able to support sales of electronically supplied services to Taiwan customers that are not Taiwan VAT registered. We apologise for any inconvenience. For more information or to place a print-only order, please contact uk.customerservices@sagepub.co.uk.

Time Series Analysis
Share
Share

Time Series Analysis
Regression Techniques

Volume: 9
March 1990 | 96 pages | SAGE Publications, Inc
Download flyer
The great advantage of time series regression analysis is that it can both explain the past and predict the future behaviour of variables. This volume explores the regression (or structural equation) approach to the analysis of time series data. It also introduces the Box-Jenkins time series method in an attempt to partially bridge the gap between the two approaches.
 
Introduction
 
Time Series Regression Analysis
Nonlagged Case

 
 
A Ratio Goal Hypothesis
 
The Error Term
 
Time Series Regression Model
 
Nonautoregression Assumption
 
Consequences of Violating the Nonautoregression Assumption
 
Conventional Tests for Autocorrelation
 
An Alternative Method of Estimation
 
EGLS Estimation (First-Order Autocorrelation)
 
Small Sample Properties
 
The Ratio Goal Hypothesis Reconsidered
 
Extension to Multiple Regression
 
Conclusion
 
Alternative Time-Dependent Processes
 
Alternative Processes
 
Testing for Higher Order Processes
 
Process Identification
 
Estimation
 
Example
Estimation of Models with Errors Generated by Alternative Time Dependent Processes

 
 
Example
Ratio Goal Model Reconsidered

 
 
Conclusion
 
Time Series Regression Analysis
Lagged Case

 
 
Distributed Lag Models
 
Lagged Endogenous Variables
 
Testing for Autocorrelation in Models with Lagged Endogenous Variables
 
Estimation
 
EGLA Estimation
 
Example
 
A Revised Ratio Goal Model
 
Interpreting Distributed Lag Models
 
Conclusion
 
Forecasting
 
Forecast Error
 
Forecast Generation
 
Modifying the Forecast Equation
 
Forecast Evaluation
 
Example
 
Conclusion
 
Summary

For instructors

Please contact your Academic Consultant to check inspection copy availability for your course.

Select a Purchasing Option

Order from:

ISBN: 9780803931350
£34.99
SAGE Research Methods Promotion

SAGE Research Methods is a research methods tool created to help researchers, faculty and students with their research projects. SAGE Research Methods links over 175,000 pages of SAGE’s renowned book, journal and reference content with truly advanced search and discovery tools. Researchers can explore methods concepts to help them design research projects, understand particular methods or identify a new method, conduct their research, and write up their findings. Since SAGE Research Methods focuses on methodology rather than disciplines, it can be used across the social sciences, health sciences, and more.

With SAGE Research Methods, researchers can explore their chosen method across the depth and breadth of content, expanding or refining their search as needed; read online, print, or email full-text content; utilize suggested related methods and links to related authors from SAGE Research Methods' robust library and unique features; and even share their own collections of content through Methods Lists. SAGE Research Methods contains content from over 720 books, dictionaries, encyclopedias, and handbooks, the entire “Little Green Book,” and "Little Blue Book” series, two Major Works collating a selection of journal articles, and specially commissioned videos.

Find out more