Traditional merger analysis is difficult to implement when evaluating merge
rs in industries with differentiated products. I discuss an alternative, wh
ich consists of demand estimation and the use of a model of postmerger cond
uct to simulate the competitive effects of a merger. I estimate a brand-lev
el demand system for ready-to-eat cereal using supermarket scanner data and
use the estimates to (1) recover marginal costs, (2) simulate postmerger p
rice equilibria, and (3) compute welfare effects, under a variety of assump
tions. The methodology is applied to Jive mergers, two of which occurred an
d for which I compare predicted to actual outcomes.