December 4, 2025ComputationOpen Access

Elasticity Coefficients as Effects Measures in Model Formulations

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TKTarald O. Kvalseth

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Implication

This research highlights the flexibility of elasticity coefficients in statistical models, suggesting better interpretations than standardized regression coefficients.

Key Points

Elasticity coefficients improve interpretation of response variable changes, enhancing model understanding and application.
The study emphasizes flexibility in applying elasticity coefficients to various data sets and explanatory variables.
Statistical inference methods were employed to assess relationships between elasticities and standard coefficients across different models.
Comparison of elasticity coefficients with standardized regression values showcases new perspectives in model formulation.

Cite This Study

Tarald O. Kvalseth (2025) studied this question.

synapsesocial.com/papers/6930e8dbea1aef094cca3c62 https://doi.org/10.3390/computation13120279

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Implication

This research highlights the flexibility of elasticity coefficients in statistical models, suggesting better interpretations than standardized regression coefficients.

Elasticity Coefficients as Effects Measures in Model Formulations

Discussion

Member takes

Implication

Key Points

Cite This Study

Elasticity Coefficients as Effects Measures in Model Formulations

Discussion

Member takes

Implication

Key Points

Cite This Study

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Also Consider