F-Test and Analysis of Variance (ANOVA) in Economics

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Abstract

ANOVA remains a cornerstone of empirical economic research, providing economists with a robust framework to analyze differences between groups, eval_uate policy interventions, and draw meaningful conclusions from data. Its versatility and applicability across diverse economic contexts underscore its significance in advancing economic theory and informing evidence-based policymaking. As data availability and computational capabilities continue to expand, ANOVA's role in economic analysis is expected to evolve, supporting increasingly sophisticated studies of economic phenomena and policy impacts. In economics, particularly in empirical research and data analysis, the F-test and Analysis of Variance (ANOVA) are fundamental statistical tools used to test hypotheses regarding the equality of means across two or more groups.

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How to Cite
Kumar, N. K. (2024). F-Test and Analysis of Variance (ANOVA) in Economics. Mikailalsys Journal of Mathematics and Statistics, 2(3), 102-113. https://doi.org/10.58578/mjms.v2i3.3449

References

Aigner, DJ. (1971). Basic Econometrics. N.J.: Prentice Hall, Inc., Englewood Cliffs.

Bridge, J.T. (1971). Applied Econometrics. Amsterdam: North-Holland Publishing Co.

Cramer, J.S. (1969). Empirical Econometrics. Amsterdam: North-Holland Publishing Co.

Christ, C.R. (1966). Econometric Models and Methods. New York: John Wiley & Sons, Inc.

Desai, M. (1976). Applied Econometrics. New York: McGraw-Hill Book Co.

Goldberger, A.S. (1966). Econometric Theory. New York: John Willey & Sons, Inc.

Gujarathi, D. (1978). Basic Econometrics. New York: McGraw-Hill Book Co.

Halder, N. (2024). Unlocking Economic Insights: Mastering Analysis of Variance (ANOVA). Analyst corner.

Mehata, B.C. & Kapoor, K. (2005). Fundamentals of Economics. Himalaya Publishing House, II,1- 496.