Home  /  Bookstore  /  Title index  /  Econometrics  /  Introduction to Time Series Analysis
 

Introduction to Time Series Analysis


Click to enlarge
See the back cover


Buy from Amazon

Info
As an Amazon Associate, StataCorp earns a small referral credit from qualifying purchases made from affiliate links on our site.
Amazon Associate affiliate link

Info What are VitalSource eBooks?
Your access code will be emailed upon purchase.
eBook not available for this title

eBook not available for this title

Author:
Mark Pickup
Publisher: Sage
Copyright: 2015
ISBN-13: 978-1-4522-8201-5
Pages: 208; paperback
Author:
Mark Pickup
Publisher: Sage
Copyright: 2015
ISBN-13:
Pages: 208; eBook
Price: $0.00
Author:
Mark Pickup
Publisher: Sage
Copyright: 2015
ISBN-13:
Pages: 208; Kindle
Price: $

Comment from the Stata technical group

Introduction to Time Series Analysis is a concise book that provides an intuitive, but deep, discussion of many methods currently used for estimation and inference in time-series modeling. A nice mix of intuition, formulas, graphs, causal diagrams, and empirical examples are used to explain each topic covered. While there is no output in the text, the Stata code used to produce many of the examples in the book are available here.

After describing what time series are and explaining why they need special techniques, the book progresses through models and estimators that become increasingly dynamic. Most of the book covers models for stationary processes, but the last chapter provides a sound introduction to models and estimators for integrated and cointegrated processes.

This book is an excellent introduction to time-series analysis for students and researchers who have limited experience in the area.

Table of contents

View table of contents >>