Abstract
This article presents a non-stationary and co-integrated empirical model of panel data to explain the impact of industrial property, measured as “patents”, on the gross domestic product (GDP) of ten Latin American countries during the period between 1990 and 2010. Traditional unit root tests are applied, as well as a cutting-edge unit root test, which incorporates a structural break and the dependency between the cross-section observations proposed by Hadri and Rao. The Pedronico integration test is used to prove the existence of a long-term relationship between the variables, and the long-term elasticities are also estimated. Results show the existence of a positive relationship between the level of innovation and the GDP.