A new approach for estimating oligopoly power coefficients is proposed. The methodology used sidesteps the difficulties of obtaining cost data and obtaining coefficients which do not satisfy the theoretical properties of the cost function.

An approach is offered that lets data determine the exact location of seasonal cycles. Rather than use deterministic variables that define the season, it allows seasonal cycles to be identified and modelled as dictated by the data in demand modelling framework.

We investigate the effect of industrial concentration on productivity growth, a proxy for innovation, in the U.S. food industries. Here, we search for a possible critical level of concentration, i.e., the inverted-U hypothesis beyond which its relationship with productivity can turn negative....