Time-Series Analysis of Inflation Rates | ARIMA Modeling and Forecasting of Ghana's Inflation Rates

Emmanuel Owusu

ISBN 10: 3639337034 / ISBN 13: 9783639337037

Published by VDM Verlag Dr. Müller, 2011

About this Item

Time-Series Analysis of Inflation Rates | ARIMA Modeling and Forecasting of Ghana's Inflation Rates | Emmanuel Owusu | Taschenbuch | Englisch | VDM Verlag Dr. Müller | EAN 9783639337037 | Verantwortliche Person für die EU: preigu GmbH & Co. KG, Lengericher Landstr. 19, 49078 Osnabrück, mail[at]preigu[dot]de | Anbieter: preigu.

Seller Inventory # 107082596

Bibliographic Details

• Title: Time-Series Analysis of Inflation Rates | ARIMA Modeling and Forecasting of Ghana's Inflation Rates
• Publisher: VDM Verlag Dr. Müller
• Publication Date: 2011
• Language: English
• ISBN 10: 3639337034
• ISBN 13: 9783639337037
• Binding: Taschenbuch
• Condition: Neu
• Dimensions: 150W x 4H x 219D millimeters 150 millimeters width by 4 millimeters height by 219 millimeters depth
• Weight: 167 grams
• Seller catalogs:
  • Bücher

About this title

Synopsis

Individual households, managers of business entities and planners of economies monitor the rates of change in prices, that is inflation, either directly or indirectly. A fast increasing inflation rate has the potential of reducing amounts of goods and services that households can afford, reducing the sales and profits of companies, and causing unemployment and reduction in tax revenue for governments, ceteris paribus. Some rental rates and wages are indexed to future inflation rates thus making it imperative that efficient forecasts of inflation be available for these purposes. This book analyzes the behavior of Ghana's inflation rates as measured by Consumer Price Index (CPI) and forecast future CPIs using ARIMA models, with the help of Box-Jenkins methodology. The analysis should help shed some light on past and future behavior of Ghana's inflation rates. This book also provides a systematic application of many concepts and techniques in time-series analysis and ARIMA forecasting. This book should be useful to students who are into time-series analysis. Professionals who make use of time-series data and do forecasting should find this book useful as well.

About the Author

Emmanuel Kofi Owusu, M.Phil. (Economics) and M.Sc. (Statistics). Studied at University of Cape Coast, Ghana. Senior Research Assistant at Dept. of Economics, University of Cape Coast. owusu_ek@yahoo.com