Saturday, April 16, 2016

A Multi-Variable Regression Model for GDP Growth Rate Prediction in India

Abstract:  This paper attempts to build a multi variable regression model to predict the GDP growth rate in India using key macroeconomic indicators such as CPI inflation, manufacturing and services purchasing manager’s index, interest rates and the price of crude oil. The relationships between GDP and these parameters, as well as their inter-relationships are studied in this paper using linear regression models. An attempt is made to understand the relationships and understand the key driving factors for growth.

Keywords: GDP Growth Rate, Crude Oil Price, Inflation, CPI, Interest Rates, Rupee Exchange Rate,
Regression Model, Multi Variable Regression, Macroeconomics

No comments:

Post a Comment