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Modelling sectoral GDPS for forecasting Indian GDP using ARMA models
Kumar, Jitendra; Mishra, A. K. - In: Indian journal of economics & business : IJEB 15 (2016) 1, pp. 181-195
Persistent link: https://www.econbiz.de/10011534332
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Assessing the mid-term growth outlook for the Indian economy
Barker, Jamie; Herrala, Risto - 2021
Persistent link: https://www.econbiz.de/10012605906
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Nowcasting India's quarterly GDP growth : a factor augmented time-varying coefficient regression model (FA-TVCRM)
Bhattacharya, Rudrani; Bhandari, Bornali; Mundle, Sudipto - 2021
Persistent link: https://www.econbiz.de/10013206634
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Nowcasting economic growth in India : the role of rainfall
Iyer, Tara; Gupta, Abhijit Sen - 2019
This study provides a toolkit to nowcast, or produce early estimates of, gross domestic product (GDP) growth in India. We use a dynamic factor model (DFM) to nowcast GDP growth in India on a quarterly basis from January 2000 to December 2018. The DFM methodology offers a powerful and tractable...
Persistent link: https://www.econbiz.de/10012110450
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An empirical analysis of forecast performance of the GDP growth in India
Gupta, Monika; Minai, Mohammad Haris - In: Global business review 20 (2019) 2, pp. 368-386
Persistent link: https://www.econbiz.de/10012035695
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Forecasting India's economic growth : a time-varying parameter regression approach
Bhattacharya, Rudrani; Chakravartti, Parma; Mundle, Sudipto - 2018
Persistent link: https://www.econbiz.de/10011939512
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Nowcasting India's quarterly GDP growth : a factor augmented time-varying coefficient regression model (FA-TVCRM)
Bhattacharya, Rudrani; Bhandari, Bornali; Mundle, Sudipto - 2021
Persistent link: https://www.econbiz.de/10013368589
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Nowcasting India's quarterly GDP growth : a factor-augmented time-varying coefficient regression model (FA-TVCRM)
Bhattacharya, Rudrani; Bhandari, Bornali; Mundle, Sudipto - In: Journal of quantitative economics 21 (2023) 1, pp. 213-234
Persistent link: https://www.econbiz.de/10014259178
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A Study on Forecasting Economic Convergence of India in Comparison to USA, China and Japan
Rajaiah, Jayaraj; Pendse, Eesha; Thomas, Sheril Anna; … - 2021
This paper attempts to examine, compare and forecast the per capita GDP of India, the USA, China, and Japan for a … ARIMA approach. The ARIMA equation varies for each country chosen. The notation for China is ARIMA (2,2,0), for India it is … the US & Japan. In the case of China, the catching-up effect takes place after 1989, as after that the GDP growth rate of …
Persistent link: https://www.econbiz.de/10013216161
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Forecasting Potential Impact of COVID-19 on India and Indonesia’s GDP
Modi, Shubham; Jindal, Pragya - 2021
In this paper, the Box-Jenkins approach has been used to build the appropriate Autoregressive-Integrated Moving-Average (ARIMA) model to understand the short-term economic impact of coronavirus on India and Indonesia’s economies. The quarterly data for forecasting India and Indonesia's GDP was...
Persistent link: https://www.econbiz.de/10013219381