If managers maximize the payoffs of their shareholders rather than firm profits, then it may be anticompetitive for a shareholder to own competing firms. This is because a manager's objective function may place weight on profits of competitors who are held by the same shareholder. Recent research found evidence that common ownership by diversified institutional investors is anticompetitive by showing that prices in the airline and banking industries are related to generalized versions of the Herfindahl-Hirschman Index (HHI) that account for common ownership. In this paper we propose an alternative approach to estimating the competitive effects of common ownership that relates prices and quantities directly to the weights that such managers may be placing on the profits of their rivals. We argue that this approach has several advantages. First, the approach does not inherit the endogeneity problems of HHI regressions, which arise because HHI measures are functions of quantities. Second, because we treat quantities as outcomes we can look for competitive effects of common ownership on both prices and quantities. Third, while concentration measures vary only at the market-time level, the profit weights also vary at the firm level, which allows us to control for a richer set of unobservables. We apply this approach to data from the banking industry. Our empirical findings are mixed, though they're preliminary as we investigate irregularities in ownership data (Anderson and Brockman (2016)). The sign of the estimated effect is sensitive to the specification. Economically, estimated effects on prices and quantities are fairly small.
Despite the clear prescription from economic theory that a firm should set price based only on variable costs, firms routinely factor fixed costs into pricing decisions. We show that full-cost pricing (FCP) can help firms uncover their optimal price from economic theory.FCP marks up variable cost with the contribution margin per unit, which in equilibrium includes the fixed cost. This requires some knowledge of the firm's equilibrium return, though this is arguably easier a lower informational burden than knowing one's demand curve, which is required for optimal economic pricing. We characterize when FCP can implement the optimal price in a static game, a dynamic game, with multiple products, and under a satisficing objective.
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