FORECASTING OF SECTOR-WISE CONTRIBUTIONS OF GVA IN ODISHA: A LINEAR REGRESSION ANALYSIS APPROACH

Authors

  • Pritipadma Sahu
  • Dr. Rajendra Gartia

DOI:

https://doi.org/10.61421/IJSSMER.2024.2206

Keywords:

Gross Value Added (GVA), GDP-derived metric, financial health

Abstract

Gross Value Added (GVA), a crucial GDP-derived metric, reflects a nation's financial health and captivates researchers in business and economics. GVA's significance in macroeconomics makes it a prime concern, serving as a key index for national development assessment and macroeconomic evaluation. Moreover, it underpins government economic strategies. Precisely predicting GVA is vital for insightful future economic health understanding. GVA's summarized past data inadequately informs effective economic strategies, policies, and resource allocation. Reliable GVA estimates through forecasting, like Linear regression used here for Odisha, enable sector-wise insights, growth analysis, and projection for informed decision-making

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Author Biographies

Pritipadma Sahu

Research Scholar, School of Statistics, Gangadhar Meher University, Sambalpur, Odisha, India

Dr. Rajendra Gartia

Assistant Professor, School of Statistics, Gangadhar Meher University, Sambalpur, Odisha, India

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Published

2024-04-16

How to Cite

Pritipadma Sahu, & Dr. Rajendra Gartia. (2024). FORECASTING OF SECTOR-WISE CONTRIBUTIONS OF GVA IN ODISHA: A LINEAR REGRESSION ANALYSIS APPROACH. International Journal of Social Science, Management and Economics Research, 2(2), 84–97. https://doi.org/10.61421/IJSSMER.2024.2206