We investigate the impact of mergers on R&D incentives within a framework of R&D competition where effort can influence both the probability of innovation and the payoff conditional on success. Our framework nests the results of two classes of existing models and reveals assumptions that are...

Deployment subsidies for nascent technologies have moved to the forefront of climate action, industrial policy, and geoeconomics. To limit the substantial fiscal costs of such programs, policymakers routinely employ subsidy schedules that are nonlinear in the quantity agents deploy. However,...

Directed acyclic graphs (DAGs) provide a transparent framework for encoding causal structures and identifying causal effects. This paper demonstrates how DAGs help specify local projections (LPs) for estimating causal impulse responses. Examples illustrate how graphical rules can be used to...

We develop a model to estimate price-adjustment behavior when prices are observed more frequently than key explanatory variables such as wage costs. We propose a mixed-frequency stochastic (S, s)-model that accommodates infrequently observed costs and allows for plant-, product-, and...

While research has highlighted the benefits of variability in leader behavior to help deal with different demands, erratic variability in behavior might be problematic. Preliminary research suggests that when leader behavior seems to vary unpredictably, followers can perceive it as inconsistent,...

Awards are widely used as incentives. This paper situates awards in the broader incentives landscape and shows how the motivational value of awards can be understood through a framework that considers three sources of value: the tangible component of an award, the social signals it emits, and...