Publications
Publications
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- All HBS Web
(81)
- Faculty Publications (18)
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- February 2024
- Article
Representation and Extrapolation: Evidence from Clinical Trials
By: Marcella Alsan, Maya Durvasula, Harsh Gupta, Joshua Schwartzstein and Heidi L. Williams
This article examines the consequences and causes of low enrollment of Black patients in clinical
trials. We develop a simple model of similarity-based extrapolation that predicts that evidence is
more relevant for decision-making by physicians and patients when it... View Details
- 2024
- Working Paper
Warnings and Endorsements: Improving Human-AI Collaboration Under Covariate Shift
By: Matthew DosSantos DiSorbo and Kris Ferreira
Problem definition: While artificial intelligence (AI) algorithms may perform well on data that are representative of the training set (inliers), they may err when extrapolating on non-representative data (outliers). These outliers often originate from covariate shift,... View Details
- 18 Jul 2023
- Interview
Jeffrey Rayport on Product Market Fit, Profit Market Fit and Whiplash, and More
By: Jeffrey F. Rayport and Doug Levin
This episode of "Lessons from Startup Life" podcast features Jeffrey Rayport, Senior Lecturer of Business Administration at the Harvard Business School. Jeffrey specializes in teaching and researching growth-stage technology ventures and their scalability. Prior to... View Details
- 2023
- Article
Exploiting Discovered Regression Discontinuities to Debias Conditioned-on-observable Estimators
By: Benjamin Jakubowski, Siram Somanchi, Edward McFowland III and Daniel B. Neill
Regression discontinuity (RD) designs are widely used to estimate causal effects in the absence of a randomized experiment. However, standard approaches to RD analysis face two significant limitations. First, they require a priori knowledge of discontinuities in... View Details
- January–February 2023
- Article
The Overlooked Key to a Successful Scale-Up
By: Jeffrey F. Rayport, Davide Sola and Martin Kupp
Many start-ups experience enormous popularity and runaway growth, but only a few go on to become stable giants. What separates them from the pack? They all go through a developmental stage called extrapolation, say three business school professors.
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- 2022
- Working Paper
Heterogeneous Investors and Stock Market Fluctuations
By: Odhrain McCarthy and Sebastian Hillenbrand
We introduce a heterogeneous agent model which features extrapolative beliefs and time-varying risk aversion. The model leads to an empirical framework which we estimate with stock prices, survey data and risk aversion measures. We find that extrapolative beliefs and... View Details
- September 2021
- Article
Diagnostic Bubbles
By: Pedro Bordalo, Nicola Gennaioli, Spencer Yongwook Kwon and Andrei Shleifer
We introduce diagnostic expectations into a standard setting of price formation in which investors learn about the fundamental value of an asset and trade it. We study the interaction of diagnostic expectations with two well-known mechanisms: learning from prices and... View Details
- August 2021
- Article
Rate-Amplifying Demand and the Excess Sensitivity of Long-Term Rates
By: Samuel G. Hanson, David O. Lucca and Jonathan H. Wright
Long-term nominal interest rates are surprisingly sensitive to high-frequency (daily or monthly) movements in short-term rates. Since 2000, this high-frequency sensitivity has grown even stronger in U.S. data. By contrast, the association between low-frequency changes... View Details
- Article
Predictions, Prophets, and Restarting Your Business
The first task of crisis management is a reasonably accurate view of the current situation and how it might evolve. There are many predictions about so-called “new normal” as a result of the semi-enforced social distancing necessitated by the coronavirus. But most are... View Details
- 2018
- Working Paper
Diagnostic Bubbles
By: Pedro Bordalo, Nicola Gennaioli, Spencer Yongwook Kwon and Andrei Shleifer
We introduce diagnostic expectations into a standard setting of price formation in which investors learn about the fundamental value of an asset and trade it. We study the interaction of diagnostic expectations with two well-known mechanisms: learning from prices and... View Details
- August 2018
- Article
Extrapolation and Bubbles
By: Nicholas Barberis, Robin Greenwood, Lawrence Jin and Andrei Shleifer
We present an extrapolative model of bubbles. In the model, many investors form their demand for a risky asset by weighing two signals: an average of the asset’s past price changes and the asset’s degree of overvaluation. The two signals are in conflict, and investors... View Details
- April 2015
- Article
Money Creation and the Shadow Banking System
By: Adi Sunderam
Many explanations for the rapid growth of the shadow banking system in the mid-2000s focus on money demand. This paper asks whether the short-term liabilities of the shadow banking system behave like money. We first present a simple model where households demand money... View Details
- 2015
- Article
What's so Institutional about Leadership?: Leadership Mechanisms of Value Infusion
By: Ryan Raffaelli and Mary Ann Glynn
Leaders are important social actors in organizations, centrally involved in establishing and maintaining institutional values, a view that was articulated by Philip Selznick (1957) nearly a half-century ago, but often overlooked in institutionalists' accounts. Our... View Details
- January 2015
- Article
X-CAPM: An Extrapolative Capital Asset Pricing Model
By: Nicholas Barberis, Robin Greenwood, Lawrence Jin and Andrei Shleifer
Survey evidence suggests that many investors form beliefs about future stock market returns by extrapolating past returns. Such beliefs are hard to reconcile with existing models of the aggregate stock market. We study a consumption-based asset pricing model in which... View Details
- February 1989 (Revised November 1991)
- Case
Science Technology Co.--1985
By: Thomas R. Piper
The CEO of a U.S. electronics firm is assessing the financial forecasts and the financing plan prepared by the chief financial officer. Given the cyclicality of the industry and the volatility of the firm's performance, the CEO is unsure as to the usefulness of... View Details
- Forthcoming
- Article
Reflexivity in Credit Markets
By: Robin Greenwood, Samuel G. Hanson and Lawrence J. Jin
Reflexivity is the idea that investors' biased beliefs affect market outcomes and that market outcomes in turn affect investors’ future biases. We develop a dynamic behavioral model of the credit cycle featuring this two-way feedback loop. Investors form beliefs about... View Details