Hausman Test Explained: Fixed Effects vs Random Effects in Panel Data (Ultimate Guide)
Автор: Practical stats
Загружено: 2026-01-14
Просмотров: 13
Описание: The Hausman Test is the crucial referee in panel data econometrics. This comprehensive guide explains when to use a Fixed Effects (FE) model and when to use a Random Effects (RE) model. We break down the core trade-off between consistency and efficiency, the problem of unobserved heterogeneity and how to interpret the Chi-square statistic to ensure valid statistical inference. Learn the Null Hypothesis and avoid biased results! Essential viewing for panel data analysis.
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