Conducting causal inference with panel data is a core challenge in social science research. We adapt a deep neural architecture for time series forecasting (the N-BEATS algorithm) to more accurately impute the counterfactual evolution of a treated unit ...

The use of product reviews in online platforms is ubiquitous and it is well established that reviews play a significant role on customer purchase decisions. The process in which reviews impact product purchases can be seen as a problem of social learning,...

Standard game-theoretic analysis yields highly incomplete descriptions of behavior in complex games of complete information. A key part of the reason is that standard models do not account for the role of complexity in shaping players' strategic ...

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 "...

In this paper, we study the class of games known as hidden-role games in which players are assigned privately to teams and are faced with the challenge of recognizing and cooperating with teammates. This model includes both popular recreational games ...

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 ...

We derive robust predictions in games involving flexible information acquisition, also known as rational inattention (Sims 2003). These predictions remain accurate regardless of the exact specification of players' learning abilities. Compared to ...

Reliable detection of skilled forecasters is slow and resource-intensive. The gold-standard approach relies on proper scores and requires forecasters to answer dozens of questions, which may take months or years to resolve. To accelerate skill ...

Coordination and learning both play fundamental roles in social and economic life. For instance, investors would like to coordinate their loan decisions with other investors, but also learn over time about the profitability of a company; consumers would ...

Background and motivation. We consider a principal interacting sequentially with a flow of self-interested agents that each consume information, take actions, and generate new information over time. The principal's goal is to maximize the aggregate ...

The exchange of information for attention is an increasingly important transaction in modern economies. Online and offline, information is offered to attract attention and to be consulted as many times as possible.

Several complex features are inherent ...

Online platforms that deliver ads and general recommendation systems are now integral to our daily routines. These platforms aim to maximize user engagement with their content, whether it involves ads or general recommendations. And yet, for all of their ...

It has become the default in markets such as ad auctions for participants to bid in an auction through automated bidding agents (autobidders) which adjust bids over time to satisfy return-over-spend constraints. Despite the prominence of such systems for ...

The mathematical study of voting, social choice theory, has traditionally only been applicable to choices among a few predetermined alternatives, but not to open-ended decisions such as collectively selecting a textual statement. We introduce generative ...

Many modern algorithms, including those used in recommendation and hiring, are trained on data provided by their users. These algorithms often rely the assumption that the data generating process is exogenous: that is, how a user reacts to a prompt (e.g.,...

When A/B/n tests (aka megastudies) have covariates that describe individuals, they can potentially be used to design targeting policies, i.e., to achieve better outcomes by assigning optimal interventions for specific individuals rather than applying the ...

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 ...

We study Prioritized Selection Problems in which an organization is presented with a set of individuals, and must choose which subset to accept. The organization makes a selection based on a priority ranking of individuals as well as other observable ...

Online controlled experiments, often referred to as A/B tests, are extensively conducted by major technology companies to evaluate the effectiveness of product strategies and inform product decision-making. The sampling process in A/B tests is not ...

Large language models---because of how they are trained and designed---are implicit computational models of humans---a homo silicus. Social scientists can use LLMs like economists use homo economicus: LLMs can be given endowments, information, ...