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July 26, 2025International Journal of Environmental Sciences

Prediction of Agricultural GSDP of Assam using Cobb Douglas, Constant Elasticity of Substitution and Multiple Linear Regression models

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Authors

SBSmrita BorthakurRSRakesh Kumar Sahoo

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Overview

Statistical analysis predicts agricultural GSDP in Assam, indicating MLR as the optimal model for policy formulation.

Key Points

  • The multiple linear regression model demonstrated the highest R² value, lowest mean squared error, and lowest Akaike Information Criterion.
  • Area and labour emerged as significant determinants of Assam's agricultural economic growth, driving productivity and GSDP performance.
  • Ordinary least squares and non-linear curve fitting were applied to estimate parameters for the Cobb-Douglas, CES, and MLR models.
  • Findings emphasize MLR's effectiveness in capturing agricultural input-output relationships, aiding policy formulation efforts.

Cite This Study

Borthakur et al. (2025) studied this question.

synapsesocial.com/papers/68af5bbcad7bf08b1eadf93ahttps://doi.org/10.64252/0gktjg86
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