The paper aims at assessing technological regimes in the context of the Brazilian manufacturing industry along the 2000-2005 period. The industries were classified in terms of SM-I and SM-II technological regimes by means of multivariate statistical methods based on variable approximating...

The paper investigates dynamic linkages between entry and exit rates in Brazilian manufacturing in the context of 231 (4-digits) industries during the 1996-2005 period. The empirical analysis focuses on the estimation of a dynamic panel data for entry and exit rates and controls for the business...

In this article, we combine machine learning techniques with statistical moments of the gasoline price distribution. By doing so, we aim to detect and predict cartels in the Brazilian retail market. In addition to the traditional variance screen, we evaluate how the standard deviation,...