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...

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,...

This paper offers a theoretical model for the analysis of illegal cartels. Given the nature of the cartel, retaliation is also illegal. To assess the stability of collusion as a criminal organization, we propose a one-shot game based on Bertrand competition with product differentiation. We...

In this article, we propose a Snowdrift Game with costly punishment in a spatial-structured two-population arrangement. In order to generate the results, we use the Agent Based Simulation (ABS) model. The numerical simulations as well as the dynamics observed in the ABS are analyzed and...

This paper combines evolutionary game theory and input–output analysis to assess firms' strategic location choice. To evaluate the model, firms competed in the automotive sector of Mercosur. To decide where to locate, the following exogenous factors were considered: potential market; local...

We propose both a well-mixed and spatially-structured evolutionary game to analyze the competitive behavior of retail firms in duopolistic markets. Firms from two different populations (high/low efficiency) compete and the available strategies are (i) Profit or (ii) Revenue maximization. Under...

This article aims to analyze the strategic decision about firms location choice faced with the uncertainty surrounding Brexit. We combine Evolutionary Game Theory (EGT) and spatial Agent-based Simulation (ABS) approaches with input-output analysis. Firms are competing in two different sectors:...

We aim to contribute to the challenges faced by the antitrust authorities in the identification process of anti-competitive market behavior. We propose two econometric models to select possible cases to be investigated: (i) The Markov-Switching GARCH (MSGARCH) Models; (ii) The Local Gaussian...

Using an agent-based model, we investigate how monetary policy affects banks' risk-taking in terms of the profile of their lending to real sector firms.Our agent-based model considers five types of agents: banks, depositors, the Central Bank, firms, and the clearinghouse. While banks and...