1.
Shubham Kumar
– Research Scholar, Department of Commerce, Mahatma Gandhi Central University, Motihari, Bihar, India.
2.
Subrata Roy
– Professor, Head & Dean, Department of Commerce, Mahatma Gandhi Central University, Motihari, Bihar, India.
Abstract
The present study has tried to examine the impact of macroeconomic factors on Indian economic growth (GDP) from 2000 to 2024 by considering monthly logarithmic time series data. The study applied multiple regression equation to examine the above objective. The regression model has been developed based on Cobb-Douglas production function where GDP has been used as the dependent variable and inflation, exchange rate, Bombay Stock Exchange (BSE), National Stock Exchange (NSE), import, and export are the independent variables. It has been reported that all the coefficients of the variables are statistically significant and affect GDP significantly. It has been observed from the residual test that the regression model is robust and the parameters are stable based on the CUSUM test.
Keywords India, GDP, Inflation, BSE, NSE
