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Explaining the Compensation of Superstar CEOs: The Case of Elon Musk
While agency theory has strongly influenced real-world compensation plans, most observed compensation plans are not explicit about their economic assumptions. In this study, we derive closed-form expressions to infer the cost of effort, the…
Exploring Human–Artificial Intelligence Interactions in a Negative Pragmatic Trial of Computer-Aided Polyp Detection
Background and Aims
The progress of artificial intelligence (AI) in endoscopy is at a crossroads. The positive results of randomized controlled trials of computer-aided detection (CADe) have not been replicated in multiple pragmatic CADe…
Financial Inclusion, Economic Development, and Inequality: Evidence from Brazil
We study a financial inclusion policy targeting Brazilian cities with low bank branch coverage using data on the universe of employees from 2000–2014. The policy leads to bank entry and to similar increases in both deposits and lending. It also…
Financial Information and Diverging Beliefs
Standard Bayesians’ beliefs converge when they receive the same piece of new information. However, when agents initially disagree and have uncertainty about the precision of a signal, their disagreement might instead increase, despite receiving…
A Future for Organizational Diversity Training: Mobilizing Diversity Science to Improve Effectiveness
In recent decades, diversity training has become a frequently used tool in efforts to reduce bias and increase inclusion in organizations. However, the effectiveness of diversity training has been called into question. The content and methods of…
LABOR-LLM: Language-Based Occupational Representations with Large Language Models
Many empirical studies of labor market questions rely on estimating relatively simple predictive models using small, carefully constructed longitudinal survey datasets based on hand-engineered features. Large Language Models (LLMs), trained on…
Redistributive Allocation Mechanisms
Many scarce public resources are allocated at below-market-clearing prices and sometimes for free. Such “nonmarket” mechanisms sacrifice some surplus, yet they can potentially improve equity. We develop a model of mechanism design with…
Trade and Trees
International trade and natural resource exploitation interact in multiple ways. This paper first presents a dynamic game in which the South (S) exploits (e.g., deforests) in order to export (e.g., lumber and agricultural products). Because of…
Using and Interpreting Fixed Effects Models
Fixed effects (FE) have emerged as a ubiquitous and powerful tool for eliminating unwanted variation in observational accounting studies. Unwanted variation is plentiful in accounting research because we often use rich data to test precise…
What Drives Variation in the U.S. Debt/Output Ratio? The Dogs that Didn’t Bark
A higher U.S. government debt/output ratio does not forecast higher surpluses or lower returns on Treasurys in the future. Neither future cash flows nor discount rates account for the variation in the current debt/output ratio. The market…
Model-Agnostic Dynamic Programming
Traditional dynamic programming requires a mathematical model of the transition function for the state vector. Leveraging reinforcement learning techniques, we develop a framework to solve dynamic optimization problems that does not require…
Affordability of Owner-Occupied Housing across U.S. Cities
This paper compares the affordability of owner-occupied housing across US cities. We apply a new method for imputing the rental value of owner-occupied housing developed in Diamond and Diamond (2024) that accounts for unobserved house quality. On…
Boeing 737 MAX
In November 2018, a Boeing 737 MAX airplane crashed off the coast of Indonesia, killing all 189 passengers and crew members. Four months later, a second 737 MAX flying from Ethiopia to Nairobi crashed, killing 157 individuals. In this Closer Look…
College Rankings, Labor Market Outcomes, and Alumni Satisfaction
State and federal governments invest millions of dollars in providing accurate and relevant information on expected outcomes to students pursuing higher education, but whether such information targets what students value about college is unclear…
Data-driven Error Estimation: Upper Bounding Multiple Errors with No Technical Debt
We formulate the problem of constructing multiple simultaneously valid confidence intervals (CIs) as estimating a high probability upper bound on the maximum error for a class/set of estimate-estimand-error tuples, and refer to this as the error…
Democracy Corrupted: Apex Corruption and the Erosion of Democratic Values
Democratic values are eroding just as citizens perceive increasing corruption, with numerous cases implicating the highest-level politicians. Could perceived increases in apex corruption be weakening democracy? We first present event study…
Financial Innovation in the 21st Century: Evidence from U.S. Patents
We explore the evolution of financial innovation using US finance patents. Patented financial innovations are substantial and increasingly economically important. Their subject matter has changed, consistent with the industry’s shift toward…
Imagined Otherness Fuels Blatant Dehumanization of Outgroups
Dehumanization of others has been attributed to institutional processes that spread dehumanizing norms and narratives, as well as to individuals’ denial of mind to others. We propose that blatant dehumanization also arises when people actively…
Investigating Complementarities in Subscription Software Usage Using Advertising Experiments
In this study, we examine complementarities in usage across a set of related software products from a multi-product firm. We employ a novel experimental approach to causally estimate complementarities, leveraging rich usage data and advertising…
Is ESG a Luxury Good?
In this Closer Look, we consider whether ESG is a luxury good — a good whose high price tag stimulates demand. During times of economic prosperity, shareholders expressed willingness to sacrifice personal financial benefit to see environmental…