Modeling Bangladesh's gross domestic product using regression approach
This study finds the factors that affect Bangladesh’s Gross Domestic Product (GDP) through regression approach. Stepwise and Ridge regression techniques have been applied to build the suitable regression model. Model adequacy also has been checked and multicollinearity problem is addressed for a pla...
Saved in:
Main Authors: | Hasan, M. N., Rana, Md. Sohel, Malek, M. B., Das, K. R., Sultana, N. |
---|---|
Format: | Article |
Language: | English |
Published: |
Institute for Mathematical Research, Universiti Putra Malaysia
2016
|
Online Access: | http://psasir.upm.edu.my/id/eprint/52343/1/8.%20sohel.pdf http://psasir.upm.edu.my/id/eprint/52343/ http://einspem.upm.edu.my/journal/fullpaper/vol10no2may/8.%20sohel.pdf |
Tags: |
Add Tag
No Tags, Be the first to tag this record!
|
Similar Items
-
Statistical approach for modeling Malaysia's gross domestic product
by: Ho, Wei Chin, et al.
Published: (2013) -
Gross Domestic Product (GDP)
by: FocusEconomics Consensus Forecast
Published: (2012) -
Gross domestic product (GDP) by sector
by: Malaysia, Department of Statistics, et al.
Published: (2013) -
Gross domestic product, 1984-90
by: Unit Perancang Ekonomi
Published: (2011) -
Modelling the Error Term of Australia Gross Domestic
Product
by: Agboluaje, Ayodele Abraham, et al.
Published: (2016)