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The CRE model nests the conventional fixed effects specification by introducing additional parameter heterogeneity. The advantage of CRE is that it is a flexible extension to random effect models which allows us to include both within and between variations in the model (Schunck, 2013). This approach increases model flexibility and solves the correlation between covariates and residual problem (Bell and Jones, 2015).
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