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Measuring Perceived Slant in Large Language Models Through User Evaluations
As LLMs become the default interface for search, news, and everyday problem-solving, they may filter and frame political information before citizens ever confront it. Identifying and mitigating partisan “bias”—output with a systematic slant…
Human + AI in Accounting: Early Evidence from the Field
This paper provides early evidence on the integration and impact of Generative Artificial Intelligence (AI) in accounting at the accountant and task levels. Using a multi-method approach, we first identify heterogeneous adoption patterns,…
Reframing Analyst Forecast Efficiency: An Empirical Bayes Perspective
We develop a rational, non-behavioral framework in which analysts use empirical Bayesian techniques to construct their forecasts. Our approach assumes that analysts construct a single empirical prior by aggregating information across all of the…
Beyond Recognition: Evaluating Visual Perspective Taking in Vision Language Models
We investigate the ability of Vision Language Models (VLMs) to perform visual perspective taking using a novel set of visual tasks inspired by established human tests. Our approach leverages carefully controlled scenes, in which a single humanoid…
Axiomatic Equilibrium Selection: The Case of Generic Extensive-Form Games
A solution concept that is a refinement of Nash equilibria selects for each finite game a nonempty collection of closed and connected subsets of Nash equilibria as solutions. We impose three axioms for such solution concepts. The axiom of…
Constructing Carbon Abatement Cost Curves
Companies across industries face increasing pressure to assess the costs of decarbonizing their operations. This paper develops a generic model for constructing abatement cost curves in connection with carbon dioxide emissions. The resulting…
Cross-Channel Effects of Failure in a Retailer's Mobile App
Failures in omnichannel retailers’ mobile apps can significantly impact shoppers’ purchases. The authors leverage a natural experiment involving an exogenous failure in a large omnichannel retailer’s app that made the app unavailable. They…
Currency Development through Liquidity Provision
Drawing on the experiences of the historical Eurodollar market and recent Chinese dollar bond issuances traded outside US jurisdiction at negative spreads to Treasuries, we examine the conditions under which a parallel offshore dollar financial…
Do Transfer Pricing Reforms Lead to a Boom in Tax Consultants?
The Organisation for Economic Co-operation and Development (OECD) has promoted the adoption of internationally standardized transfer pricing rules to curb profit shifting for tax avoidance by multinational firms. In a 2023 study, Bustos and…
Durably Reducing Partisan Animosity Through Multiple Scalable Treatments
Recent research has identified several effective strategies for reducing Americans’ animosity toward supporters of opposing political parties. However, whether these strategies can durably reduce partisan animosity in a scalable manner and in…
Generative AI Meets Open-Ended Survey Responses: Research Participant Use of AI and Homogenization
The growing popularity of generative artificial intelligence (AI) tools presents new challenges for data quality in online surveys and experiments. This study examines participants’ use of large language models to answer open-ended survey…
Generative AI at Work
We study the staggered introduction of a generative AI–based conversational assistant using data from 5,172 customer-support agents. Access to AI assistance increases worker productivity, as measured by issues resolved per hour, by 15% on average…
Generative AI in Equilibrium: Evidence from a Creative Goods Marketplace
Artists and policy makers are concerned that Generative Artificial Intelligence (GenAI) may lead to disappearance of non-GenAI content. In this paper we study the implications of GenAI for the production and consumption of creative goods; such as…
Implementing a Prediction Driven Framework for Emergency Department Nurse Staffing to Optimize Real Time Decisions
This study implemented and evaluated a prediction-driven nurse staffing framework in a large adult emergency department. The framework leveraged a two-stage prediction model that forecasted patient volume and guided staffing decisions. Using a…
Innovations in Corporate Carbon Accounting
With the climate crisis intensifying in urgency, the stakeholders of global companies are clamoring for more reliable reporting regarding a company’s overall carbon footprint as well as the emissions attributed to individual products and services…
Insights From Refusal Patterns for Deceased Donor Kidney Offers
Background
The likelihood that a deceased donor kidney will be used evolves during the allocation process. Transplant centers can either decline an organ offer for a single patient or for multiple patients at the same time. We…
Matching with Transfers Under Distributional Constraints
We study two-sided many-to-one matching markets with transferable utilities in which money can exchange hands between matched agents, subject to distributional constraints on the set of feasible allocations. In such markets, we establish that…
Persuasion with Multiple Actions
We consider a Bayesian persuasion model in which multiple receivers take one action each. We compare simultaneous procedures with sequential ones. In a simultaneous procedure, all the receivers act simultaneously following the realization of a…
Putting Economics Back Into Geoeconomics
Geoeconomics is the use of a country’s economic strength to exert influence on foreign entities to achieve geopolitical or economic goals. We discuss how concepts of power in the political science and economics literature can be used to guide…
The Diffusion of New Technologies
We identify phrases associated with novel technologies using textual analysis of patents, job postings, and earnings calls, enabling us to identify four stylized facts on the diffusion of jobs relating to new technologies. First, the development…