 Application of the estimation of multiple effect size to frontier efficiency meta-regression of agriculture in GhanaJustice Djokoto (), Akua Agyeiwaa-Afrane, Charlotte Badu-Prah, Ferguson K. Gidiglo, Francis Y. Srofenyoh and Kofi Aaron A-O. Agyei-Henaku Research in Economics, 2025, vol. 79, issue 1 Abstract: 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. Keywords: Allocative efficiency; Cost efficiency; Combined effect size; Economic efficiency; Profit efficiency; Scale efficiency; Publication bias (search for similar items in EconPapers) Downloads: (external link) Related works: Export reference: BibTeX RIS (EndNote, ProCite, RefMan) HTML/Text Persistent link: https://EconPapers.repec.org/RePEc:eee:reecon:v:79:y:2025:i:1:s1090944325000031 DOI: 10.1016/j.rie.2025.101026 Access Statistics for this article Research in Economics is currently edited by Federico Etro More articles in Research in Economics from Elsevier |
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