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We use the random effect method and system generalized method of moments (GMM) model for saving and investment.
The coefficients can be obtained both from the fixed and the random effect models; we use the random effect coefficients.
If the problem remains, we will use the random effect model and explain the results with caution.
That is why we opted to use the random effect model irrespective of the value of I statistic.
We made an a priori decision to use the random effect model to take into account the variability of studied populations and intervention types.
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The mathematical form of our basic models using the random effect method is specified as under.
We pooled data using the random effect model and the RevMan software program, version 5.3 [15].
If heterogeneity existed, point estimates and 95% CIs were estimated using the random effect model, otherwise the fixed effect model was employed.
The pooled estimate was derived using the random effect model.
First, calculation that used the fixed effects model was repeated by using the random effect model.
The individual and pooled statistics were calculated using the random effect model.
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