Global market power dataset of the primary foods industry.

The study of market power has garnered interest from academia, policymakers, and industry in recent times since the publication of de Loecker et al. (2020). This paper introduced a novel methodology to estimate the markup, a proxy commonly used to denote market power.

Entropy-Based Solutions for Ecological Inference Problems: A Composite Estimator.

Information-based estimation techniques are becoming more popular in the field of Ecological Inference. Within this branch of estimation techniques, two alternative approaches can be pointed out. The first one is the Generalized Maximum Entropy (GME) approach based on a matrix adjustment problem where the only observable information is given by the margins of the target matrix.

A Data-Weighted Prior Estimator for Forecast Combination.

Forecast combination methods reduce the information in a vector of forecasts to a single combined forecast by using a set of combination weights. Although there are several methods, a typical strategy is the use of the simple arithmetic mean to obtain the combined forecast. A priori, the use of this mean could be justified when all the forecasters have had the same performance in the past or when they do not have enough information.