This paper investigates the potential determinants for international integration and effects of export-led growth in Latin American countries to determine the most effective measure of growth in the countries. The study incorporates information asymmetry into a GDP per capita growth model to examine the influence of openness, human capital, export diversity, and more. While examining data from World Bank development indicators, it has been shown that there are at least nine different variables that provide relevant data to create a functional model. The results show that there are many applicable determinants that can be used in the model without over-correlation. Using a model from a previous study in Asian countries, the determinants are expected to be able to be used in the same manner for these Latin American and Caribbean countries. By analyzing the top 10 countries by GDP, the model will investigate the correlation between export-led growth-related variables and economic success in the countries.