Please note: In order to keep Hive up to date and provide users with the best features, we are no longer able to fully support Internet Explorer. The site is still available to you, however some sections of the site may appear broken. We would encourage you to move to a more modern browser like Firefox, Edge or Chrome in order to experience the site fully.

Time Series Econometrics : Learning Through Replication, Hardback Book

Time Series Econometrics : Learning Through Replication Hardback

Part of the Springer Texts in Business and Economics series

Hardback

Description

In this book, the author rejects the theorem-proof approach as much as possible, and emphasize the practical application of econometrics.

They show with examples how to calculate and interpret the numerical results. This book begins with students estimating simple univariate models, in a step by step fashion, using the popular Stata software system.

Students then test for stationarity, while replicating the actual results from hugely influential papers such as those by Granger and Newbold, and Nelson and Plosser.

Readers will learn about structural breaks by replicating papers by Perron, and Zivot and Andrews.

They  then turn to models of conditional volatility, replicating papers by Bollerslev.

Finally, students estimate multi-equation models such as vector autoregressions and vector error-correction mechanisms, replicating the results in influential papers by Sims and Granger. The book contains many worked-out examples, and many data-driven exercises.

While intended primarily for graduate students and advanced undergraduates, practitioners will also find the book useful.

Information

Other Formats

Save 2%

£109.99

£107.29

 
Free Home Delivery

on all orders

 
Pick up orders

from local bookshops

Information

Also in the Springer Texts in Business and Economics series  |  View all