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- 2023
- Article
On the Impact of Actionable Explanations on Social Segregation
By: Himabindu Lakkaraju and Ruijiang Gao
As predictive models seep into several real-world applications, it has become critical to ensure that individuals who are negatively impacted by the outcomes of these models are provided with a means for recourse. To this end, there has been a growing body of research...
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- Article
Stock Price Reactions to ESG News: The Role of ESG Ratings and Disagreement
By: George Serafeim and Aaron Yoon
We investigate whether ESG ratings predict future ESG news and the associated market reactions. We find that the consensus rating predicts future news, but its predictive ability diminishes for firms with large disagreement between raters. Relation between news and...
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Keywords:
ESG;
ESG (Environmental, Social, Governance) Performance;
ESG Disclosure;
ESG Ratings;
ESG Reporting;
ESG Disclosure Metrics;
Sustainability;
Investments;
Disagreement;
Rating Disagreement;
Ratings;
Environmental Sustainability;
Social Issues;
Corporate Social Responsibility and Impact;
Performance;
News;
Investment;
Financial Markets;
Stocks;
Price
- 2023
- Working Paper
Mapping Organizational-Level Networks Using Individual-Level Connections: Evidence from Online Professional Networks
By: Shelley Xin Li, Frank Nagle and Aner Zhou
Organization-level networks facilitate the flow of information and business activities in the
economy. Prior research relies solely on high-level connections to measure these networks. Therefore, to
understand the role of employee connections at all job levels in...
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- August 2023
- Article
Do Rating Agencies Behave Defensively for Higher Risk Issuers?
By: Samuel B. Bonsall IV, Kevin Koharki, Pepa Kraft, Karl A. Muller III and Anywhere Sikochi
We examine whether rating agencies act defensively toward issuers with a higher likelihood of default. We find that agencies' qualitative soft rating adjustments are more accurate as issuers' default risk grows, as evidenced by the adjustments leading to lower Type I...
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- 2023
- Working Paper
How People Use Statistics
By: Pedro Bordalo, John J. Conlon, Nicola Gennaioli, Spencer Yongwook Kwon and Andrei Shleifer
We document two new facts about the distributions of answers in famous statistical problems: they are i) multi-modal and ii) unstable with respect to irrelevant changes in the problem. We offer a model in which, when solving a problem, people represent each hypothesis...
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- 2023
- Other Unpublished Work
If 3 Was 9
One determinant of where economies and markets are headed is how well we handle the climate crisis. Headlines on the climate tend to emphasize two points. First, average global temps are rising, with it being the hottest summer in 1,000 centuries per some estimates....
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- July 2023
- Case
Crocs: Using Community-Centric Marketing to Make Ugly Iconic
By: Ayelet Israeli and Anne V. Wilson
In 2022, the Crocs Classic Clog was the best-selling item of clothing on Amazon, the brand was one of the fastest growing brands in the U.S., and global net revenue had increased to approximately $3.6 billion. By most accounts, Crocs had become the “it” shoe. Crocs...
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- July 2023 (Revised July 2023)
- Background Note
Generative AI Value Chain
By: Andy Wu and Matt Higgins
Generative AI refers to a type of artificial intelligence (AI) that can create new content (e.g., text, image, or audio) in response to a prompt from a user. ChatGPT, Bard, and Claude are examples of text generating AIs, and DALL-E, Midjourney, and Stable Diffusion are...
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- July 2023
- Article
Takahashi-Alexander Revisited: Modeling Private Equity Portfolio Outcomes Using Historical Simulations
By: Dawson Beutler, Alex Billias, Sam Holt, Josh Lerner and TzuHwan Seet
In 2001, Dean Takahashi and Seth Alexander of the Yale University Investments Office developed a deterministic model for estimating future cash flows and valuations for the Yale endowment’s private equity portfolio. Their model, which is simple and intuitive, is still...
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- 2023
- Working Paper
Insufficiently Justified Disparate Impact: A New Criterion for Subgroup Fairness
By: Neil Menghani, Edward McFowland III and Daniel B. Neill
In this paper, we develop a new criterion, "insufficiently justified disparate impact" (IJDI), for assessing whether recommendations (binarized predictions) made by an algorithmic decision support tool are fair. Our novel, utility-based IJDI criterion evaluates false...
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- June 2023
- Case
Tractor Supply Co
By: David L. Ager and Michael A. Roberto
In February 2023, Hal Lawton, CEO of Tractor Supply Co, the largest farm and ranch retailer in the United States reflected on the company’s 70% growth between 2019 and 2022. Economists had begun to predict an economic downturn and experts were predicting softening...
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- 2023
- Working Paper
Evaluation and Learning in R&D Investment
By: Alexander P. Frankel, Joshua L. Krieger, Danielle Li and Dimitris Papanikolaou
We examine the role of spillover learning in shaping the value of exploratory versus incremental
R&D. Using data from drug development, we show that novel drug candidates generate more
knowledge spillovers than incremental ones. Despite being less likely to reach...
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- June 2023
- Case
Accounting for Loan Losses at JPMorgan Chase: Predicting Credit Costs
By: Jonas Heese, Jung Koo Kang and James Weber
The case examines the accounting for loan losses at a large bank, how a bank sets its Allowance for Loan and Lease Losses (ALLL) on its financial statements. ALLL, and the rules that set them, determine when banks would and would not extend loans, which significantly...
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- 2023
- Working Paper
Auditing Predictive Models for Intersectional Biases
By: Kate S. Boxer, Edward McFowland III and Daniel B. Neill
Predictive models that satisfy group fairness criteria in aggregate for members of a protected class, but do not guarantee subgroup fairness, could produce biased predictions for individuals at the intersection of two or more protected classes. To address this risk, we...
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- 2023
- Article
Provable Detection of Propagating Sampling Bias in Prediction Models
By: Pavan Ravishankar, Qingyu Mo, Edward McFowland III and Daniel B. Neill
With an increased focus on incorporating fairness in machine learning models, it becomes imperative not only to assess and mitigate bias at each stage of the machine learning pipeline but also to understand the downstream impacts of bias across stages. Here we consider...
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- 2023
- Working Paper
Random Distribution Shift in Refugee Placement: Strategies for Building Robust Models
By: Kirk Bansak, Elisabeth Paulson and Dominik Rothenhäusler
Algorithmic assignment of refugees and asylum seekers to locations within host
countries has gained attention in recent years, with implementations in the U.S.
and Switzerland. These approaches use data on past arrivals to generate machine
learning models that can...
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- June 2023
- Article
When Does Uncertainty Matter? Understanding the Impact of Predictive Uncertainty in ML Assisted Decision Making
By: Sean McGrath, Parth Mehta, Alexandra Zytek, Isaac Lage and Himabindu Lakkaraju
As machine learning (ML) models are increasingly being employed to assist human decision
makers, it becomes critical to provide these decision makers with relevant inputs which can
help them decide if and how to incorporate model predictions into their decision...
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- May 2023
- Case
Arcos Dorados: Decarbonizing McDonald’s in Latin America
By: George Serafeim, Michael W. Toffel, Jenyfeer Martinez Buitrago and Mariana Cal
This case describes the decarbonization strategy of Arcos Dorados—McDonald’s largest independent franchisee, operating in 20 countries and territories in Latin America and the Caribbean—and how the company measured its greenhouse gas (GHG) emissions, including those...
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Keywords:
Accounting;
Environmental Accounting;
Agribusiness;
Animal-Based Agribusiness;
Plant-Based Agribusiness;
Change Management;
Forecasting and Prediction;
Environmental Sustainability;
Food;
Growth Management;
Supply Chain;
Corporate Social Responsibility and Impact;
Strategy;
Agriculture and Agribusiness Industry;
Food and Beverage Industry;
Green Technology Industry;
Consumer Products Industry;
Latin America;
North and Central America;
South America
- 2023
- Article
Conduit Incentives: Eliciting Cooperation from Workers Outside of Managers' Control
By: Susanna Gallani
Can managers use monetary incentives to elicit cooperation from workers they cannot reward for their efforts? I study “conduit incentives,” an innovative incentive design, whereby managers influence bonus-ineligible workers’ effort by offering bonus-eligible employees...
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Keywords:
Organizational Behavior Modification;
Peer Monitoring;
Persistence Of Performance Improvements;
Crowding Out;
Implicit Incentives;
Compensation;
Healthcare;
Social Pressure;
Image Motivation;
Incentives;
Motivation;
Performance;
Behavior;
Motivation and Incentives;
Compensation and Benefits;
Governing Rules, Regulations, and Reforms;
Organizational Culture;
Health Industry;
California
- May 2023
- Article
Equilibrium Effects of Pay Transparency
By: Zoë B. Cullen and Bobak Pakzad-Hurson
The public discourse around pay transparency has focused on the direct effect: how workers seek
to rectify newly-disclosed pay inequities through renegotiations. The question of how wage-setting
and hiring practices of the firm respond in equilibrium has received...
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Keywords:
Pay Transparency;
Online Labor Market;
Privacy;
Wage Gap;
Corporate Disclosure;
Wages;
Negotiation