The arrival of the gig economy has led to an unprecedented explosion of person-to-person task outsourcing: driving, food pickup, and shopping can all be done by someone other than the consumer. Such outsourcing potentially creates new challenges for gig ...

This paper provides a new framework for studying the impact of Artificial Intelligence (AI) on the organization of knowledge work. We incorporate AI into an economy where humans endogenously form hierarchical firms: Less knowledgeable agents become "...

It has long been known that third degree price discrimination --- the practice of charging different prices to consumers in distinct market segments--- may increase or decrease consumer surplus. However, the potential benefits for consumers of third ...

We study competitive data markets in which consumers own their personal data and can trade it with intermediaries, such as e-commerce platforms. Intermediaries use this data to provide services to the consumers, such as targeted offers from third-party ...

A seller offers a buyer a schedule of transfers and associated product qualities. After observing this schedule, the buyer chooses a flexible costly signal about his type. We show it is without loss to focus on a class of mechanisms that compensate the ...

It is well known that in an M/M/1 queueing model where customers strategically decide whether or not to enter a queue, and if and when to renege, under a first-come-first-served regime, customers' selfish behavior produces an outcome that is socially ...

The increasingly prevalent "fulfillment by platform" practice in the digital economy (e.g, Fulfillment by Amazon launched in 2006, JD marketplace in 2010, Fulfilled by Sears in 2013, Fulfillment by Shopee in 2022) presents platforms with the unique ...

Equal pay laws increasingly require that workers doing "similar" work are paid equal wages within firm. We study such "equal pay for similar work" (EPSW) policies theoretically and test our model's predictions empirically using evidence from a 2009 ...

The assignment of property rights has important implications for both economic efficiency and the distribution of surplus within society. Consequently, there are trade-offs associated with the design of these rights. Awarding a full property right over ...

The dedicated docket was introduced by the Biden Administration to expedite the processing of asylum claims. It creates a separate queue for immigration proceedings where judges are supposed to issue a decision for each asylum case within a target ...

Advances in estimating heterogeneous treatment effects enable firms to personalize marketing mix elements and target individuals at an unmatched level of granularity, but feasibility constraints limit such personalization. In practice, firms choose which ...

We model the problem facing a policymaker who must allocate rapid rehousing support to people experiencing homelessness and wishes to minimize the steady-state size of the homeless population. Typically, support is given to the most vulnerable applicants,...

Maritime transportation is critical for the global economy, with about 90% of goods traded by sea and volumes expected to triple by 2050. Despite rising demand, 40% to 50% of total miles are sailed empty (known as ballasting), causing significant ...

The adoption of Artificial Intelligence (AI) for hiring processes is often impeded by a scarcity of comprehensive employee data. We hypothesize that the inclusion of behavioral measures elicited from applicants can enhance the predictive accuracy of AI ...

We develop sealed-bid combinatorial auction formats for indivisible goods in which bidders can express budget constraints. To do so, we analyze the extent to which the designer must adjust budgets or the supply of goods in order to guarantee the ...

Large language models (LLMs) have quickly become popular as labor-augmenting tools for programming, writing, and many other processes that benefit from quick text generation. In this paper we explore the uses and benefits of LLMs for researchers and ...