This paper presents a new approach to modeling transitional dynamics in dynamic models of imperfect competition, a crucial yet often neglected aspect of empirical models in industrial organization that seek to understand market responses to policy and environmental changes. We introduce...

We introduce a model of oligopoly dynamic pricing where firms with limited capacity face a sales deadline. We establish conditions under which the equilibrium is unique and converges to a system of differential equations. Using unique and comprehensive pricing and bookings data for competing...

We show that supply networks are inefficiently, and insufficiently, resilient. Upstream firms can expand their production capacity to hedge against supply and demand shocks. But the social benefits of such investments are not internalized due to market power and market incompleteness. Upstream...

Industries with significant scale economies or learning-by-doing may come to be dominated by a single firm. Economists have studied how likely this is to happen, and whether it is efficient, using models where buyers are price or quantity takers, even though these industries are often also...

Interstate Highway openings were permanent, anticipated demand shocks that increased gasoline demand and sometimes shifted it spatially. We investigate supply responses to these demand shocks, using county-level observations of service station counts and employment and data on highway openings'...

This paper analyzes the impact of labor market competition and skill-biased technical change on the structure of compensation. The model combines multitasking and screening, embedded into a Hotelling-like framework. Competition for the most talented workers leads to an escalating reliance on...

The Hotelling locational model and its adaptations to a circular city provide a core framework for research in industrial organization. The present paper expands the explanatory power of this model by incorporating a continuum of consumers with constant-elasticity demand functions along with...

We develop and estimate a model of consumer search with spatial learning. Consumers make inferences from previously searched objects to unsearched objects that are nearby in attribute space, generating path dependence in search sequences. The estimated model rationalizes patterns in data on...

Electric vehicle (EV) battery costs have declined by more than 90% over the past decade. This study investigates the role of learning-by-doing (LBD) in driving this reduction and its interaction with two major government policies - consumer EV subsidies and local content requirements. Leveraging...

We propose a conformant likelihood estimator with exogeneity restrictions (CLEER) for random coefficients discrete choice demand models that is applicable in a broad range of data settings. It combines the likelihoods of two mixed logit estimators--one for consumer level data, and one for...