GDP OF BANGLADESH: INTER DEPENDENCY WITH RELEVANT VARIABLES

Naz Afrin Sultana

ISBN 10: 3845400862 / ISBN 13: 9783845400860

Published by LAP LAMBERT Academic Publishing Jun 2011, 2011

About this Item

Neuware -Gross domestic product (GDP) comes under the heading of National Accounts, Which is a subject in macroeconomics. This study aims at to find appropriate VAR (Vector Autoregressive) model for the variables agriculture, industry and services in multivariate time series, to check out the causality among the variables agriculture, industry, and service. In addition to data description and forecasting, here the VAR model is also used for structural inference and policy analysis. But before these we must verify the validation of the model in different time period, because a forecasting model may lose its validity and suitability as time progresses.The basic aim of this study was to check out the causality or inter dependency between the variables agriculture, industry and services on GDP of Bangladesh. Also to forecast the increasing GDP using VAR model. From the above study and estimation, VAR is an appropriate model for the GDP of Bangladesh. The author also found various measures of forecasting accuracy for the model. Author have found strong evidence of inter dependency or causality among the three underlying variable.Books on Demand GmbH, Überseering 33, 22297 Hamburg 64 pp. Englisch.

Seller Inventory # 9783845400860

Bibliographic Details

• Title: GDP OF BANGLADESH: INTER DEPENDENCY WITH RELEVANT VARIABLES
• Publisher: LAP LAMBERT Academic Publishing Jun 2011
• Publication Date: 2011
• Language: English
• ISBN 10: 3845400862
• ISBN 13: 9783845400860
• Binding: Taschenbuch
• Condition: Neu
• Dimensions: 220W x 150H x 4D millimeters 220 millimeters width by 150 millimeters height by 4 millimeters depth
• Weight: 113 grams

About this title

Synopsis

Gross domestic product (GDP) comes under the heading of National Accounts, Which is a subject in macroeconomics. This study aims at to find appropriate VAR (Vector Autoregressive) model for the variables agriculture, industry and services in multivariate time series, to check out the causality among the variables agriculture, industry, and service. In addition to data description and forecasting, here the VAR model is also used for structural inference and policy analysis. But before these we must verify the validation of the model in different time period, because a forecasting model may lose its validity and suitability as time progresses.The basic aim of this study was to check out the causality or inter dependency between the variables agriculture, industry and services on GDP of Bangladesh. Also to forecast the increasing GDP using VAR model. From the above study and estimation, VAR is an appropriate model for the GDP of Bangladesh. The author also found various measures of forecasting accuracy for the model. Author have found strong evidence of inter dependency or causality among the three underlying variable.

About the Author

Ms.Naz Afrin Sultana is currently pursing M.S. at the Institute of Statistical Research and Training (ISRT) of Dhaka University from Bangladesh. She received her B.S. degree from the same institute. Her research interests include Bayesian Statistics, Multivariate Analysis etc.