The paper investigates the adoption of IFRS and the extent of disclosure on corruption in 27 African countries with an unbalanced panel data for the period of 2003 to 2016. The study employed three panel methodologies. To analysis the data and make statistical and robust inference, linear regression, generalized linear model and Arellano-Bond dynamic panel data method was employed. The study found that the adoption of IFRS has negative effect on corruption in Africa and the extent of disclosure is positive from the analysis performed with linear regression and generalized linear model, but dynamic panel data method showed negative effect on corruption. The findings of the study are best regarded as suggestive rather than definitive hence more research is recommended into the area of IFRS adoption in developing countries