Dense urban areas are especially hardly hit by the Covid-19 crisis due to the limited
availability of public transport, one of the most efficient means of mass mobility. In light of the …

Purpose–Existing literature offers conflicting evidence on how prior product knowledge
influences amount of information search. A majority of these studies are based on variants of …

We analyse dynamic general equilibrium models with more-or-less directed search by
informed buyers and random search by uninformed buyers. This nests existing …

It is well known that search costs and switching costs can create market power by
constraining the ability of consumers to change suppliers. While previous research has …

Protection of consumers' privacy is often motivated by the fear that, without it, consumers
may be exploited via personalized pricing. We explain how privacy may affect prices in …

How do firms set prices when faced with an uncertain market? We study the pricing
strategies of car dealers for used cars using online data and interviews. We find that 97% of …

The introduction of the Beijing–Shanghai high-speed rail (Launch) and the Wenzhou bullet-
train collision (Crash) in China provided a unique occasion to study the effect of competition …

I develop a tractable framework for conducting platform design counterfactuals in settings
where many sellers compete and set prices dynamically, using approaches developed in …

We study optimal fee setting decisions by a monopoly online platform connecting advertisers
with potential buyers in two environments: a simple model that captures stylised features of …

This thesis investigates the use of hedonic pricing models to value intangible assets that are
owned by firms. This novel approach falls within the neoclassical methodology for the …