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Forecasting of sector-wise contributions of GVA in Odisha: a Linear regression analysis approach

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  • Sahu, Pritipadma
  • Gartia, Dr. Rajendra

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.

Suggested Citation

  • Sahu, Pritipadma & Gartia, Dr. Rajendra, . "Forecasting of sector-wise contributions of GVA in Odisha: a Linear regression analysis approach," International Journal of Social Science, Management and Economics Research - IJSSMER, International Journal of Social Science, Management and Economics Research - IJSSMER, vol. 2(2).
    • Handle: RePEc:ags:ijssme:355427
    DOI: 10.22004/ag.econ.355427
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