Application of the Estimation of Multiple Effect Size to Frontier Efficiency Meta-Regression of Agriculture in Ghana

We applied a method of estimating multiple effect sizes to agricultural efficiency data in Ghana. We used multi-efficiency data from 195 publications and 345 observations and fitted it to ordinary least squares regression to illustrate how the model works. The data is unique in the meta-regression efficiency space, containing all efficiency measures. We depart from existing frontier efficiency meta-regression by estimating the combined effect sizes of technical efficiency and other dimensions of frontier efficiency. We extended the single effect size estimation model to a multiple effect size estimation model. The application of the data showed that the strongest differences related to profit efficiency, the meta-regression of which has never been published. The average of the arithmetic means should not be considered as the overall efficiency, rather, the combined effect size in frontier efficiency meta-regression models.