This study aimed to analyze the existence of asymmetric transmission of prices in the Brazilian gasoline market following a regional approach, using a disaggregated data set for the period between May 2004 and February 2011. The main result finds evidence of symmetric price transmission in...

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,...

We aim to evaluate two different econometric screens for identifying anti-competitive behavior in the fuel retail market: (i) The Markov-Switching GARCH (MS-GARCH) Models; (ii) The Local Gaussian Correlation (LGC) approach. Using the gasoline cartel judged and condemned in Brasília as a...