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.

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Empirical Models of Non-Transferable Utility Matching

Nikhil Agarwal , Paulo Somaini
August262021

Empirical models play a distinctive role in the study of matching markets. They provide a quantitative framework for measuring heterogeneity in preferences for schools (Hastings et al., 2009), comparing school assignment mechanisms (…

Stealth Acquisitions and Product Market Competition

John D. Kepler, Vic Naiker, Christopher R. Stewart
August262021

We examine whether and how firms structure their merger and acquisition (M&A) deals to avoid scrutiny from antitrust regulators. There are approximately 40% more M&As than expected bunching just below thresholds that trigger antitrust…

Automated Bidding and Budget Optimization for Performance Advertising Campaigns

Tong Geng, Fangzhou Sun, Di Wu, Wei Zhou, Harikesh S. Nair, Zhangang Lin
August222021

We present an approach to automate the bidding and budgeting of multi-unit digital advertising campaigns. Such campaigns typically involve groups of ad-units that span multiple user segments, ad-delivery channels and media that together are meant…

Federated Causal Inference in Heterogeneous Observational Data

Ruoxuan Xiong, Allison Koenecke, Michael Powell, Zhu Shen, Joshua T. Vogelstein, Susan Athey
August112021

Analyzing observational data from multiple sources can be useful for increasing statistical power to detect a treatment effect; however, practical constraints such as privacy considerations may restrict individual-level information sharing across…

Pandemic Spikes and Broken Spears: Indigenous Resilience after the Conquest of Mexico

Alberto Diaz-Cayeros, Juan Espinosa-Balbuena, Saumitra Jha
August92021

It is well-established that the Conquest of the Americas by Europeans led to catastrophic declines in indigenous populations. However, less is known about the conditions under which indigenous communities were able to overcome the…

Misdiagnosing Bank Capital Problems

Jeremy I. Bulow, Paul Klemperer
August2021

Banks’ reluctance to repair their balance sheets, combined with deposit insurance and regulatory forbearance in recognizing greater risks and losses, can lead to solvency problems that look like liquidity (bank-run) crises. Regulatory forbearance…

Advertising as Information for Ranking E-Commerce Search Listings

Joonhyuk Yang, Navdeep S. Sahni, Harikesh S. Nair
July282021

New products are the lifeblood of many sellers, who increasingly reach consumers via e-commerce platforms. Yet, search engines and e-commerce platforms have substantial difficulty exposing new products to their users on account of an information…

Transparency of the “Net-Zero by 2050 Club”

Stephen D. Comello, Julia Reichelstein, Stefan J. Reichelstein
July182021

As governments around the world reaffirm their commitments to reduce carbon emissions at the national level, numerous global corporations have recently issued their own carbon reduction pledges. Such corporate “Net-Zero Club by 20xx”…

Bond Convenience Yields in the Eurozone Currency Union

Zhengyang Jiang, Hanno Lustig, Stijn Van Nieuwerburgh, Mindy Z. Xiaolan
July62021

This paper analyzes bond convenience yields in a currency union. The intertemporal government budget constraint requires member countries’ bond convenience yields and default spreads to adjust in response to shocks to their government surpluses.…

Buying Data from Consumers

Yizhou Jin, Shoshana Vasserman
July2021

New technologies have enabled firms to elicit granular behavioral data from consumers in exchange for lower prices and better experiences. This data can mitigate asymmetric information and moral hazard, but it may also increase firms’ market…

Distribution-Free Assessment of Population Overlap in Observational Studies

Lihua Lei, Alexander D’Amour, Peng Ding, Avi Feller, Jasjeet Sekhon
July2021

Overlap in baseline covariates between treated and control groups, also known as positivity or common support, is a common assumption in observational causal inference. Assessing this assumption is often ad hoc, however, and can give misleading…

Double-Robust Two-Way-Fixed-Effects Regression For Panel Data

Dmitry Arkhangelsky, Guido W. Imbens, Lihua Lei, Xiaoman Luo
July2021

We propose a new estimator for the average causal effects of a binary treatment with panel data in settings with general treatment patterns. Our approach augments the twoway-fixed-effects specification with the unit-specific weights that arise…

Regulating Conglomerates in China: Evidence from an Energy Conservation Program

Qiaoyi Chen, Zhao Chen, Zhikuo Liu, Juan Carlos Suárez Serrato, Daniel Xu
July2021

We study a prominent energy regulation affecting large Chinese manufacturers that are part of broader conglomerates. Using detailed firm-level data and difference-in-differences research designs, we show that regulated firms cut output and…

Supply Constraints and Directors’ Reputational Incentives

John D. Kepler, Christopher S. Armstrong, Shawn Shi, David Tsui
July2021

We study the labor market consequences that result from directors’ limited capacity to sit on boards and their resulting incentives stemming from career concerns and future prospects. We find that directors who leave one board are more likely to…

The Impact of Mobile App Failures on Online and Offline Purchases

Unnati Narang, Venkatesh Shankar, Sridhar Narayanan
July2021

Over half of all shopping journeys start with the mobile channel. In particular, the presence of a branded mobile app significantly influences shopping across channels. However, a majority of app users decrease app usage or even abandon an app,…

Private Genetic Genealogy Search

Mine Su Erturk, Kuang Xu
June282021

Genetic genealogy search has emerged as a powerful technique for identifying individuals by leveraging their genetic information and a genealogical network. The current practice relies on searching within a pre-constructed database containing…

Optimal Model Selection in Contextual Bandits with Many Classes via Offline Oracles

Sanath Kumar Krishnamurthy, Susan Athey
June112021

We study the problem of model selection for contextual bandits, in which the algorithm must balance the bias-variance trade-off for model estimation while also balancing the exploration-exploitation trade-off. In this paper, we propose the first…

Diffusion Asymptotics for Sequential Experiments

Stefan Wager, Kuang Xu
June102021

We propose a new diffusion-asymptotic analysis for sequentially randomized experiments, including those that arise in solving multi-armed bandit problems. In an experiment with n time steps, we let the mean reward gaps between actions…

Off-Policy Evaluation via Adaptive Weighting with Data from Contextual Bandits

Ruohan Zhan, Vitor Hadad, David A. Hirshberg, Susan Athey
June102021

It has become increasingly common for data to be collected adaptively, for example using contextual bandits. Historical data of this type can be used to evaluate other treatment assignment policies to guide future innovation or experiments.…

Blending Advertising with Organic Content in E-Commerce: A Virtual Bids Optimization Approach

Carlos Carrion, Zenan Wang, Harikesh S. Nair, Xianghong Luo, Yulin Lei, Xiliang Lin, Wenlong Chen, Qiyu Hu, Changping Peng, Yongjun Bao, Weipeng Yang
May282021

In e-commerce platforms, sponsored and non-sponsored content are jointly displayed to users and both may interactively influence their engagement behavior. The former content helps advertisers achieve their marketing goals and provides a stream…