Information, Control, and Organizational Structure

This paper investigates how a designer of an organization (referred to as the regulator) should organize a production activity in which two different units produce components and where each unit has private information about its costs. Three organizational structures are analyzed. In the first (informational consolidation), the regulator contracts with a consolidated unit that produces both components. In the second (informational decentralization), the regulator independently contracts with the producer of each component. In the third (informational delegation), the regulator contracts with one of the units, which in turn subcontracts with the other. In each case, the regulator's optimal mechanism consisting of payment and output schedules is fully characterized. Informational consolidation and informational decentralization yield different output schedules. Under informational decentralization, the optimal output schedule may not depend on the sum of the marginal costs of each component, but when it does, the regulator strictly prefers informational consolidation to informational decentralization. Informational delegation is shown to be equivalent to informational decentralization when the regulator can observe the contracting between the units.     

Subsidizing research programs with “if” and “when” uncertainty in the face of severe informational constraints

We study subsidy policies for research programs when firms have private information about the likelihood of project viability, but the government cannot form a unique prior about this likelihood. When the shadow cost of public funds is zero, first‐best welfare can be attained as a (belief‐free) ex post equilibrium under both monopoly and competition, but it cannot be attained when the shadow cost is positive. However, max‐min subsidy policies exist under monopoly and competition and consist of pure matching subsidies. Under a Research and Development (R&D) consortium, the highest max‐min matching rate is lower than under competition, and R&D investment intensity is higher.     

Informational Alliances

An informational alliance involves the consolidation of the private information of independent suppliers in anticipation of a contracting opportunity with a principal. An informational alliance is an intermediateform of organization between the consolidation of information as in a merger and the suppliers remaining separate entities. It can Pareto dominate a merger, independent contracting, and hierarchical contracting, so a principal can benefit by allowing suppliers to organize the supply network. An informational alliance forms at the nexus of internally-verifiable private information. The principal's contracting problem then involves a participation condition with a reservation value that is a function of type.     

Regulated versus negotiated access pricing in vertically separated railway systems

Journal of Regulatory Economics - We revisit Stigler and Friedland’s (J Law Econ 5:1–16, 1962) seminal paper by examining how competitive generation affects prices, sustainability, and...     

Market forces meet behavioral biases: cost misallocation and irrational pricing

Psychological and experimental evidence, as well as a wealth of anecdotal examples, suggests that firms may confound fixed, sunk, and variable costs, leading to distorted pricing decisions. This article investigates the extent to which market forces and learning eventually eliminate these distortions. We envision firms that experiment with cost methodologies that are consistent with real‐world accounting practices, including ones that confuse the relevance of variable, fixed, and sunk costs to pricing decisions. Firms follow “naive” adaptive learning to adjust prices and reinforcement learning to modify their costing methodologies. Costing and pricing practices that increase profits are reinforced. In some market structures, but not in others, this process of reinforcement causes pricing practices of all firms to systematically depart from standard equilibrium predictions.     

Regulation and information in a continuing relationship

Regulation typically involves a continuing relationship between a regulator and a firm, and that relationship is often complicated by asymmetric information. A multiperiod model of this relationship is analyzed in which a regulated firm has private information about its costs which may changed over time in a manner observable only to the firm. The regulator is assumed to be able to commit to a policy for the entire regulatory horizon, and the optimal pricing policy is shown to depend on an informativeness measure that indicates how information by the firm in one period will be used in future periods.     

The Impact of Market Structure and Learning on the Tradeoff between R&D Competition and Cooperation

This paper compares R&D competition and cooperation when firms can devote resources to a ‘safe’ investment or a risky R&D investment. When the discovery of a new product creates positive externalities on non‐discovering firms, equilibrium investment flow, ex ante investment, and welfare under R&D competition are less than or equal to what they are under research cooperation. With negative externalities, R&D cooperation results in the same or lower ex ante investment than under R&D competition, and social welfare may also be less. Our results have relevance for empirical studies of the impact of R&D cooperation on R&D outcomes.