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,...

The paper aims at investigating the effects of social distancing on the number of cases and deaths caused by the COVID-19. A detailed dataset includes more precise measures of the social distancing intensity in 78 municipalities from the state of São Paulo-Brazil that allowed the assessment of...

The paper investigates the survival of newly created small and medium enterprises in Brazilian manufacturing taking as reference the 1996-2005 period. The econometric analysis relies on time-varying version of the proportional hazard rate model that controls for unobserved heterogeneity. The...

The paper undertakes a cross-sectoral analysis of a salient empirical implication of the model of tacit collusion advanced by Abreu et al (1986). Specifically, the prevalence of a first order Markovian process for alternating between price wars and collusive periods is assessed by means of...

The paper investigates the survival of newly created small and medium enterprises in Brazilian manufacturing taking as reference the 1996-2005 period. The econometric analysis relies on time-varying version of the proportional hazard rate model that controls for unobserved heterogeneity. The...

The paper investigates survival patterns of Brazilian franchising firms during the 1994-1999 period. First, at a more descriptive level one considered the (percentage) survival of newly created franchisors in the following years. The evidence indicated a drastic decay in survival after only a...