Essays on Contract Theory and Mechanism Design

Thesis (Ph.D.)--University of Washington, 2017-06My dissertation investigates optimal contracts for experimentation and a matching problem for the runway slot allocation. The first chapter of my dissertation examines the role of monitoring in experimentation where agents may observe success privately. In the benchmark model without monitoring, private observability of success is inconsequential as the agent never wants to delay announcing success. However, with monitoring of the agent's effort, private observability of success plays a role in choosing the optimal time for monitoring. When success is observed publicly, the optimal time for a principal to hire a monitor is at the start of the relationship. On the contrary, if the agent observes success privately, and the discount factor is high enough, monitoring is performed during the final period. The second chapter discusses optimal contracts for both experimentation and production. It can be optimal to pay a rent after failure and over experimentation can be optimal. Over production can occur in the exploitation phase. The third chapter considers a financially significant matching problem that emerges when inclement weather conditions strike an airport and runway slots must be reallocated

Two-sided markets : the role of technological uncertainty

International audienceThis paper examines the effect of technological uncertainty on the optimal pricing and investment decisions in a two-sided market. A platform offers a basic good and a developer offers a complementary good. The performance of the complementary good is stochastic and is endogenously determined by the pricing policy the platform adopts. Heterogeneous consumers join the platform either before uncertainty is resolved or after. In the former case, consumers obtain the basic good and an option to benefit from the complementary good in the future. The platform trades off building an earlier mass of consumer base and extracting profits from late adopters. Consumers are divided into three groups: early adopters, late adopters, and those who never join the platform. A platform's pricing policy depends on the value of the complementary good and the cost of its development. If the cost is small, a price skimming policy is optimal. When the cost is higher, price skimming remains optimal if the value of the complementary good is either small or relatively high. For intermediate values, the platform adopts a price penetration policy. We discuss some examples from the empirical literature in light of the model

Learning from failures: Optimal contracts for experimentation and production

Before embarking on a project, a principal must often rely on an agent to learn about its profitability. We model this learning as a two-armed bandit problem and highlight the interaction between learning (experimentation) and production. We derive the optimal contract for both experimentation and production when the agent has private information about the efficiency of experimentation. This private information in the experimentation stage generates asymmetric information in the production stage even though there was no disagreement about the profitability of the project at the outset. The degree of asymmetric information is endogenously determined by the length of the experimentation stage. An optimal contract uses the length of experimentation, the production scale, and the timing of payments to screen the agent. We find that over-experimentation and over-production can be used to reduce the agent's rent. An efficient type is rewarded early since he is more likely to succeed in experimenting, while an inefficient type is rewarded at the very end of the experimentation stage. This result is robust to the introduction of ex post moral hazard.SCOPUS: ar.jDecretOANoAutActifinfo:eu-repo/semantics/publishe

Two-sided markets : the role of technological uncertainty

International audienceThis paper examines the effect of technological uncertainty on the optimal pricing and investment decisions in a two-sided market. A platform offers a basic good and a developer offers a complementary good. The performance of the complementary good is stochastic and is endogenously determined by the pricing policy the platform adopts. Heterogeneous consumers join the platform either before uncertainty is resolved or after. In the former case, consumers obtain the basic good and an option to benefit from the complementary good in the future. The platform trades off building an earlier mass of consumer base and extracting profits from late adopters. Consumers are divided into three groups: early adopters, late adopters, and those who never join the platform. A platform's pricing policy depends on the value of the complementary good and the cost of its development. If the cost is small, a price skimming policy is optimal. When the cost is higher, price skimming remains optimal if the value of the complementary good is either small or relatively high. For intermediate values, the platform adopts a price penetration policy. We discuss some examples from the empirical literature in light of the model

Two-sided markets : the role of technological uncertainty

This paper examines the effect of technological uncertainty on the optimal pricing and investment decisions in a two-sided market. A platform offers a basic good and a developer offers a complementary good. The performance of the complementary good is stochastic and is endogenously determined by the pricing policy the platform adopts. Heterogeneous consumers join the platform either before uncertainty is resolved or after. In the former case, consumers obtain the basic good and an option to benefit from the complementary good in the future. The platform trades off building an earlier mass of consumer base and extracting profits from late adopters. Consumers are divided into three groups: early adopters, late adopters, and those who never join the platform. A platform's pricing policy depends on the value of the complementary good and the cost of its development. If the cost is small, a price skimming policy is optimal. When the cost is higher, price skimming remains optimal if the value of the complementary good is either small or relatively high. For intermediate values, the platform adopts a price penetration policy. We discuss some examples from the empirical literature in light of the model