Publications

We empower faculty to design and discover original research that challenges conventions and creates breakthroughs that push boundaries of knowledge.

Publication Types

Journal Articles

View peer-reviewed research by Stanford GSB faculty, published in leading journals across the business disciplines.

Books

View books written or edited by Stanford GSB faculty, from textbooks to books for a wider audience.

Working Papers

View scholarly works-in-progress by Stanford GSB faculty, which often appear in final form in academic journals.

Case Studies

View abstract and ordering information for case studies written and published by faculty at Stanford GSB.

Browse Publications

Publication Search
Publication Type
Academic Area
Results for
Journal Article

The U.S. Public Debt Valuation Puzzle

Zhengyang Jiang, Hanno Lustig, Stijn Van Nieuwerburgh, Mindy Z. Xiaolan
Econometrica July2024 Vol. 92 Issue 4 Pages 1309–1347.

The government budget constraint ties the market value of government debt to the expected present discounted value of fiscal surpluses. We find evidence that U.S. Treasury investors fail to impose this no-arbitrage restriction in the United…

Working Paper

Minimax-Regret Sample Selection in Randomized Experiments

Yuchen Hu, Henry Zhu, Emma Brunskill, Stefan Wager
June242024

Randomized controlled trials are often run in settings with many subpopulations that may have differential benefits from the treatment being evaluated. We consider the problem of sample selection, i.e., whom to enroll in a randomized trial, such…

Journal Article

Variation in Hospital Neuraxial Labor Analgesia Rates in California

Pooja Parameshwar, Nan Guo, Jason Bentley, Elliot Main, Sara Singer, Carol J. Peden, Theresa Morris, Jessica Ansari, Alexander J. Butwick
Anesthesiology June12024 Vol. 140 Issue 6 Pages 1098–1110.

Neuraxial analgesia provides effective pain relief during labor. However, it is unclear whether neuraxial analgesia prevalence differs across U.S. hospitals. The aim of this study was to assess hospital variation in neuraxial analgesia prevalence…

Journal Article

50 Years of Context Effects: Merging the Behavioral and Quantitative Perspectives

Ioannis Evangelidis, Sudeep Bhatia, Jonathan Levav, Itamar Simonson
Journal of Consumer Research June2024 Vol. 51 Issue 1 Pages 19–28.

Over the past 50 years, consumer researchers have presented extensive evidence that consumer preference can be swayed by the decision context, particularly the configuration of the choice set. Importantly, behavioral research on context effects…

Working Paper

Explaining the Compensation of Superstar CEOs: The Case of Elon Musk

Iván Marinovic, Jeremy Bertomeu, Mario Milone
June2024

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…

Journal Article

Exploring Human–Artificial Intelligence Interactions in a Negative Pragmatic Trial of Computer-Aided Polyp Detection

Kate Watkins, Uri Ladabaum, Esther Olsen, Jonathan Hoogerbrug, Ajitha Mannalithara, Yingjie Weng, Blake Shaw, Roger Bohn, Sara Singer
iGIE June2024 Vol. 3 Issue 2

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…

Journal Article

Financial Inclusion, Economic Development, and Inequality: Evidence from Brazil

Julia Fonseca, Adrien Matray
Journal of Financial Economics June2024 Vol. 156

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…

Journal Article

Financial Information and Diverging Beliefs

Christopher S. Armstrong, Mirko S. Heinle, Irina Luneva
Review of Accounting Studies June2024

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…

Journal Article

A Future for Organizational Diversity Training: Mobilizing Diversity Science to Improve Effectiveness

Ivuoma N. Onyeador, Sanaz Mobasseri, Hannah L. McKinney, Ashley Martin
Academy of Management Perspectives June2024 Vol. 38 Issue 3

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…

Working Paper

LABOR-LLM: Language-Based Occupational Representations with Large Language Models

Tianyu Du, Ayush Kanodia, Herman Brunborg, Keyon Vafa, Susan Athey
June2024

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…

Journal Article

Redistributive Allocation Mechanisms

Mohammad Akbarpour, Piotr Dworczak, Scott Duke Kominers
Journal of Political Economy June2024 Vol. 132 Issue 6

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…

Journal Article

Trade and Trees

Bård Harstad
American Economic Review: Insights June2024 Vol. 6 Issue 2 Pages 155–175.

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…

Journal Article

Using and Interpreting Fixed Effects Models

Matthias Breuer, Ed deHaan
June2024

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…

Journal Article

What Drives Variation in the U.S. Debt/Output Ratio? The Dogs that Didn’t Bark

Zhengyang Jiang, Hanno Lustig, Stijn Van Nieuwerburgh, Mindy Z. Xiaolan
The Journal of Finance June2024 Vol. 79 Issue 4 Pages 2603–2665.

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…

Working Paper

Model-Agnostic Dynamic Programming

Marc de la Berrera, Tim de Silva
May12024

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…

Journal Article

Affordability of Owner-Occupied Housing across U.S. Cities

Rebecca Diamond, William Diamond
AEA Papers & Proceedings May2024 Vol. 114

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…

Stanford Closer Look

Boeing 737 MAX

David F. Larcker, Brian Tayan
Stanford Closer Look Series Corporate Governance Research Initiative May2024

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…

Journal Article

College Rankings, Labor Market Outcomes, and Alumni Satisfaction

Eric Bettinger, Andreas Fidjeland
Education Economics May2024 Vol. 32 Issue 5 Pages 703–720.

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…

Working Paper

Data-driven Error Estimation: Upper Bounding Multiple Errors with No Technical Debt

Sanath Kumar Krishnamurthy, Susan Athey, Emma Brunskill
May2024

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…

Working Paper

Democracy Corrupted: Apex Corruption and the Erosion of Democratic Values

Eduardo Rivera, Enrique Seira, Saumitra Jha
May2024

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…