Working Papers

These papers are working drafts of research which often appear in final form in academic journals. The published versions may differ from the working versions provided here.

SSRN Research Paper Series

The Social Science Research Network’s Research Paper Series includes working papers produced by Stanford GSB the Rock Center.

You may search for authors and topics and download copies of the work there.

Academic Area
Centers & Initiatives
Results for

Second-Best Amendment: Market Power and Tax Design in the Firearms Industry

Luis Armona, Adam Rosenberg
2026

This paper studies the roles of market power and taxes in determining market surplus and social welfare in the U.S. consumer firearms industry. Using microdata from Massachusetts and aggregate data from other states, we estimate an equilibrium…

Two-Sided Flexibility in Platforms

Daniel Freund, Sébastien Martin, Kamessi Zhao
2026

Flexibility is a cornerstone of operations management, crucial to hedge stochasticity in product demands, service requirements, and resource allocation. In two-sided platforms, flexibility is also two-sided and can be viewed as the compatibility…

A Unified Theory of Delegated Capital Management

Jonathan B. Berk, Peter M. DeMarzo
December182025

We develop a unified theory of delegated capital management by extending the paradigm of Berk and Green (2004) from mutual funds to alternative assets. With competitive markets and rational investors, we derive the optimal contract and account…

A Dynamic Model of the Racial Wealth Gap

Sylvain Catherine, Ellen Jiayang Lu, James D. Paron
December162025

What explains wealth and portfolio differences between Black and White Americans? We find that disparities in economic factors explain portfolios well, but only partly explain the wealth gap. In a dynamic setting, economic factors often change…

When Silence Speaks: Dynamic Learning and Hidden Action in Attorney-Client Relationships

Steven Grenadier, Brian Grenadier
December162025

We model the attorney-client relationship as a dynamic moral hazard problem where the client faces a difficult inference challenge. Clients learn about case quality by “learning from silence,” but silence is a noisy signal: it can mean the case…

Scaling Clinician-Grade Feature Generation from Clinical Notes with Multi-Agent Language Models

Jiayi Wang, Jacqueline Jil Vallon, Nikhil V. Kotha, Neil Panjwani, Xi Ling, Margaret Redfield, Sushmita Vij, Sandy Srinivas, John Leppert, Mark K. Buyyounouski, Mohsen Bayati
December122025

Developing accurate clinical prediction models is often bottlenecked by the difficulty of generating meaningful predictive features from unstructured data. While electronic health records (EHRs) contain rich narrative information, extracting a…

Profitable Misconduct, Corporate Governance, and Law Enforcement

Anat R. Admati, Nathan Atkinson, Paul Pfleiderer
December52025

This paper analyzes interactions between corporate governance and law enforcement practices, focusing on cases where deterrence is weak and harmful misconduct is profitable. We show how managerial compensation contracts, including stock-based…

Patent Privateering

Jinhwan Kim, Kristen Valentine, Jenny Li Zhang, Yuxiang Zheng
December22025

In a patent privateering strategy, firms sell patents to a non-practicing entity (NPE) with the expectation that the NPE sues the seller’s rivals for patent infringement. We examine whether firms under competitive pressure and facing barriers to…

Optimal Redistribution via Income Taxation and Market Design

Paweł Doligalski, Piotr Dworczak, Mohammad Akbarpour, Scott Duke Kominers
December12025

Policymakers often distort goods markets to effect redistribution—for example, via price controls, differential taxation, or in-kind transfers. We investigate the optimality of such policies alongside the (optimally-designed) income tax. In our…

Patent Disclosures, Examiners, and Greenwashing

Christopher S. Armstrong, Jinhwan Kim, Jalal Sani, Terrence Tianshuo Shi
December2025

We examine how patent disclosures influence technology classification decisions by patent examiners and how firms strategically tailor these disclosures to affect classification outcomes. Using a novel machine learning approach, we construct a…

Rational and Irrational Belief in the Hot Hand: Evidence from “Jeopardy!”

Anthony J. Kukavica, Sridhar Narayanan
December2025

We use a play-by-play dataset from the game show “Jeopardy!” to study the hot hand phenomenon, whereby people appear to exhibit “hot” states of elevated performance in domains with repeat trials. We first demonstrate that Jeopardy contestants…

What Would it Cost to End Extreme Poverty?

Roshni Sahoo, Joshua Blumenstock, Paul Niehaus, Leo Selker, Stefan Wager
December2025

We study poverty minimization via direct transfers, framing this as a statistical learning problem while retaining the information constraints faced by real-world programs. Using nationally representative household consumption surveys from 23…

A Simple Threshold Captures the Social Learning of Conventions

Douglas R. Guilbeault, Spencer Caplan, Charles Yang
November212025

A persistent puzzle throughout the cognitive and social sciences is how people manage to learn social conventions from the sparse and noisy behavioral data of diverse actors, without explicit instruction. Here, we show that the dominant theories…

Beyond Black-Box: Structuring Landing Page Recommender Systems Using Predicted Intents

Yuyan Wang, Cheenar Banerjee, Samer Chucri, Minmin Chen
October302025

Modern recommender systems rely on black-box machine learning models to predict consumer choices. However, because these models do not explicitly represent the underlying data-generating process (DGP), they often struggle to generalize beyond…

Simulating and Experimenting with Social Media Mobilization Using LLM Agents

Sadegh Shirani, Mohsen Bayati
October302025

Online social networks have transformed the ways in which political mobilization messages are disseminated, raising new questions about how peer influence operates at scale. Building on the landmark 61-million-person Facebook experiment, we…

The Oversight Game: Learning to Cooperatively Balance an AI: Agent’s Safety and Autonomy

William Overman, Mohsen Bayati
October302025

As increasingly capable agents are deployed, a central safety challenge is how to retain meaningful human control without modifying the underlying system. We study a minimal control interface in which an agent chooses whether to act autonomously…

The Market for Accountants

Bong-Geun Choi, Jung Ho Choi, Maureen McNichols, Frank Zhou
October122025

This paper develops and estimates a structural model of the labor market for accountants that integrates forward-looking lifetime occupational choices with oligopsonistic employer demand. Using longitudinal resume data covering career transitions…

Who to Offer, and When: Redesigning Feeding America's Real-Time Donation Tool

Soonbong Lee, Vahideh Manshadi, Daniela Saban
October112025

In collaboration with Feeding America, we aim to redesign Real-Time—a tool on its food sourcing and rescue platform, MealConnect—that facilitates the connection of ad-hoc, time-sensitive food donations to local agencies (e.g., meal programs)…

Emergent Directedness in Social Contagion

Fabian Tschofenig, Douglas R. Guilbeault
October72025

An enduring challenge in contagion theory is that the pathways contagions follow through social networks exhibit emergent complexities that are difficult to predict using network structure. Here, we address this challenge by developing a causal…

Investing in Political Expertise: The Remarkable Scale of Corporate Policy Teams

Andrew B. Hall, Anna Sun
October62025

In this paper, we define and measure a previously unstudied channel by which companies react to, and attempt to shape, politics: internal policy teams. We use the text of more than 100,000 job listings to classify the roles of roughly 100 million…