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What is Panel Data Analysis: Fixed vs. Random Effects about?

This document contains output from regression analyses conducted in EViews. The analyses examined different model specifications including common effect, fixed effect, random effect, and tests of assumptions. Based on the Chow test results, fixed effect modeling was preferred over common effect as the p-value was below 0.05. The Hausman test then indicated fixed effect was also preferred over random effect, since its p-value was below 0.05. Residual diagnostics like the Jarque-Bera test supported the assump

Author

Meismifty Anisa

Language

EN