Corruption is an unprecedented problem that affects the economies of countries, and where its effects reach different macroeconomic variables, including economic growth. Theoretical evidence points to the causality between corruption and economic growth measured in terms of gross domestic product.

The objective is to formulate an econometric approach of an experimental nature exploring the relationships between the variables corruption, poverty, inequality, gross domestic product, and unemployment with respect to the context of corruption in Panama. A cross-sectional model is estimated that seeks to establish a relationship between these variables using Gretl.

This research does not propose to exhaustively analyze the problem of corruption, but statistical evidence shows that the gross domestic product does not have a strong impact on the corruption rate.  Other explanatory variables incorporated into model 4, and results indicated that 55.5% of the variability of the corruption index could be explained by the set of variables gross domestic product, poverty and inequality indexes, and unemployment rate.