Introduction to Time Series Analysis (Quantitative Applications in the Social Sciences)

Pickup, Mark

ISBN 10: 1452282013 / ISBN 13: 9781452282015

Published by SAGE Publications, Inc, 2014

About this Item

Gut/Very good: Buch bzw. Schutzumschlag mit wenigen Gebrauchsspuren an Einband, Schutzumschlag oder Seiten. / Describes a book or dust jacket that does show some signs of wear on either the binding, dust jacket or pages.

Seller Inventory # M01452282013-V

Bibliographic Details

• Title: Introduction to Time Series Analysis (Quantitative Applications in the Social Sciences)
• Publisher: SAGE Publications, Inc
• Publication Date: 2014
• Language: English
• ISBN 10: 1452282013
• ISBN 13: 9781452282015
• Binding: Soft cover
• Condition: very good

About this title

Synopsis

Introducing time series methods and their application in social science research, this practical guide to time series models is the first in the field written for a non-econometrics audience. Giving readers the tools they need to apply models to their own research, this unique book demonstrates the use of―and the assumptions underlying―common models of time series data, including finite distributed lag; autoregressive distributed lag; moving average; differenced data; and GARCH, ARMA, ARIMA, and error correction models.

About the Author

Mark Pickup is an associate professor in the Department of Political Science at Simon Fraser University. Mark is a specialist in political behavior and political methodology. Substantively, his research primarily falls into four areas: political identities and vote choice; the economy and democratic accountability; conditions of democratic responsiveness; and polls and electoral outcomes. His research focuses on political information, public opinion, political identities, and election campaigns within North American and European countries. His methodological interests concern the analysis of longitudinal data (time series, panel, network, etc.), with secondary interests in Bayesian analysis and survey/lab experiment design.