This paper presents a data-driven approach applied to the long term prediction of daily time series in the Neural Forecasting Competition. The proposal comprises the use of adaptive fuzzy rule-based systems in a top-down modeling framework. Therefore, daily samples are aggregated to build weekly...

This paper aims to present the Price Equation and its application to the Brazilian economy, with theoretical grounding in neo-Schumpeterian approach to competition, innovation and dynamics, as well as the Generalized Darwinism perspective. A model inspired in Price Equation is used to decompose...

This article aims to explore learning and selection effects of productivity change for three classes of firm’s sizes in Brazilian manufacturing and service sectors from 1996 to 2011. The methodology is based on the Price Equation. Our results support the international evidence about the weak...