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  • January 2022
  • Background Note

Residual Income Valuation Model
By: Charles C.Y. Wang and Albert Shin
This note explains the residual income valuation model (RIM), how it relates to "traditional" valuation models, the intuition behind its use, and empirical research related to its value relevance. RIM is theoretically equivalent to the dividend discount model and the...  View Details
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  • December 2021
  • Article

The Evolutionary Nature of Breakthrough Innovation: An Empirical Investigation of Firm Search Strategies
By: Dominika Kinga Randle and Gary P. Pisano
Breakthrough innovation has been an important topic of study for generations of scholars. Previous research in this domain has focused on exploring the way breakthroughs emerge from cumulative combination and recombination of prior technologies and knowledge components...  View Details
Keywords: Breakthrough Innovation; Exploration And Exploitation; Search Strategy; Innovation and Invention; Technological Innovation; Strategy
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  • November 5, 2021
  • Article

Leaders: Stop Confusing Correlation with Causation
By: Michael Luca
We’ve all been told that correlation does not imply causation. Yet many business leaders, elected officials, and media outlets still make causal claims based on misleading correlations. These claims are too often unscrutinized, amplified, and mistakenly used to guide...  View Details
Keywords: Behavioral Economics; Data Analysis; Organizations; Decision Making; Data and Data Sets; Analysis; Learning
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  • September–October 2021
  • Article

Frontiers: Can an AI Algorithm Mitigate Racial Economic Inequality? An Analysis in the Context of Airbnb
By: Shunyuan Zhang, Nitin Mehta, Param Singh and Kannan Srinivasan
We study the effect of Airbnb’s smart-pricing algorithm on the racial disparity in the daily revenue earned by Airbnb hosts. Our empirical strategy exploits Airbnb’s introduction of the algorithm and its voluntary adoption by hosts as a quasi-natural experiment. Among...  View Details
Keywords: Smart Pricing; Pricing Algorithm; Machine Bias; Discrimination; Racial Disparity; Social Inequality; Airbnb Revenue; Revenue; Race; Equality and Inequality; Prejudice and Bias; Price; Mathematical Methods; Accommodations Industry
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  • 2021
  • Working Paper

When to Go and How to Go? Founder and Leader Transition in Private Equity Firms
By: Josh Lerner and Diana Noble
Leadership transition in private equity firms is an understudied field, despite the important, albeit controversial, role such firms play in developed economies. We analyzed 260 firms in an empirical study, supplemented by qualitative interviews with a small sample of...  View Details
Keywords: Buyout; Succession; Venture Capital; Leadership; Private Equity; Personal Development and Career; Performance
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  • 2021
  • Article

An Empirical Examination of Sell-Side Brokerage Analysts' Published Research, Concierge Services, and High-Touch Services
By: David A. Maber, Boris Groysberg and Paul M. Healy
This paper uses a proprietary panel dataset to categorize and quantify the activities that sell-side brokerage analysts use to build and sustain their network of buy-side client relations. We then examine the marginal impact of these activities on key analyst outcome...  View Details
Keywords: Sell-side Analysts; Analyst Ratings; Brokerage Commissions; Earnings Forecasts
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  • September 2021
  • Article

Income More Reliably Predicts Frequent Than Intense Happiness
By: Jon M. Jachimowicz, Ruo Mo, Adam Eric Greenberg, Bertus Jeronimus and Ashley V. Whillans
There is widespread consensus that income and subjective well-being are linked, but when and why they are connected is subject to ongoing debate. We draw on prior research that distinguishes between the frequency and intensity of happiness to suggest that higher income...  View Details
Keywords: Life Satisfaction; Time Use; Happiness; Income; Money; Satisfaction
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  • Fall 2021
  • Article

When to Go and How to Go? Founder and Leader Transitions in Private Equity Firms
By: Josh Lerner and Diana Noble
Leadership transition in private equity firms is an understudied field, despite the important, albeit controversial, role such firms play in developed economies. We analyzed 260 firms in an empirical study, supplemented by qualitative interviews with a small sample of...  View Details
Keywords: Leadership Transition; Private Equity; Leadership; Management Succession; Analysis
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  • August 2021
  • Article

Multiple Imputation Using Gaussian Copulas
By: F.M. Hollenbach, I. Bojinov, S. Minhas, N.W. Metternich, M.D. Ward and A. Volfovsky
Missing observations are pervasive throughout empirical research, especially in the social sciences. Despite multiple approaches to dealing adequately with missing data, many scholars still fail to address this vital issue. In this paper, we present a simple-to-use...  View Details
Keywords: Missing Data; Bayesian Statistics; Imputation; Categorical Data; Estimation
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  • June 2021
  • Article

Cognition and Emotion in Extreme Political Action: Individual Differences and Dynamic Interactions
By: Leor Zmigrod and Amit Goldenberg
Who is most likely to join and engage in extreme political action? While traditional theories have focused on situational factors or group identity attributes, an emerging science illustrates that tendencies for extreme political action may also be rooted in...  View Details
Keywords: Extreme Political Action; Ideology; Political Psychology; Cognition-emotion Interactions; Cognition and Thinking; Emotions; Personal Characteristics
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  • April 2021
  • Article

A Model of Multi-Pass Search: Price Search Across Stores and Time
By: Navid Mojir and K. Sudhir
In retail settings with price promotions, consumers often search across stores and time. However, the search literature typically only models one pass search across stores, ignoring revisits to stores; the choice literature using scanner data has modeled search across...  View Details
Keywords: Consumer Search; Multi-pass Search; Price Search; Store Search; Spatial Search; Temporal Search; Spatiotemporal Search; Dynamic Structural Models; MPEC; Price Promotions; Store Loyalty; Consumer Behavior; Price; Spending; Marketing; Mathematical Methods
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  • 2021
  • Working Paper

Cognitive Biases: Mistakes or Missing Stakes?
By: Benjamin Enke, Uri Gneezy, Brian Hall, David Martin, Vadim Nelidov, Theo Offerman and Jeroen van de Ven
Despite decades of research on heuristics and biases, empirical evidence on the effect of large incentives—as present in relevant economic decisions—on cognitive biases is scant. This paper tests the effect of incentives on four widely documented biases: base rate...  View Details
Keywords: Cognitive Biases; Incentives; Motivation and Incentives; Decision Making; Performance
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  • 2021
  • Working Paper

The World Management Survey at 18: Lessons and the Way Forward
By: Daniela Scur, Raffaella Sadun, John Van Reenen, Renata Lemos and Nicholas Bloom
Understanding how differences in management “best practices” affect organizational outcomes has been a focus of both theoretical and empirical work in the fields of management, sociology, economics and public policy. The World Management Survey (WMS) project was born...  View Details
Keywords: Management Practices; Policy Toolkit; World Management Survey; Productivity; Management Practices and Processes; Measurement and Metrics; Performance Productivity; Policy
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  • 2021
  • Working Paper

Achieving Reliable Causal Inference with Data-Mined Variables: A Random Forest Approach to the Measurement Error Problem
By: Mochen Yang, Edward McFowland III, Gordon Burtch and Gediminas Adomavicius
Combining machine learning with econometric analysis is becoming increasingly prevalent in both research and practice. A common empirical strategy involves the application of predictive modeling techniques to "mine" variables of interest from available data, followed...  View Details
Keywords: Machine Learning; Econometric Analysis; Instrumental Variable; Random Forest; Causal Inference; Analysis; Theory; Measurement and Metrics; Performance Consistency
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  • 2021
  • Working Paper

How Does Going Public Affect Employee Behavior? Evidence from Brokerage IPOs
By: Joseph Pacelli, Mark Bradshaw, Michael Drake and Brady Twedt
We provide new evidence on how initial public offerings (IPOs) influence employee behavior using the brokerage industry as an empirical setting. We examine whether IPOs influence the objectivity of equity research analysts. Contrary to conventional wisdom suggesting...  View Details
Keywords: IPOs; Public Sector; Analysis; Outcome or Result; Attitudes; Business and Shareholder Relations
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  • Article

Nudging: Progress to Date and Future Directions
By: John Beshears and Harry Kosowsky
Nudges influence behavior by changing the environment in which decisions are made, without restricting the menu of options and without altering financial incentives. This paper assesses past empirical research on nudging and provides recommendations for future work in...  View Details
Keywords: Nudge; Choice Architecture; Behavioral Economics; Behavioral Science; Behavior; Change; Situation or Environment; Decision Choices and Conditions; Decision Making
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  • October 2020
  • Article

Collusion in Markets with Syndication
By: John William Hatfield, Scott Duke Kominers, Richard Lowery and Jordan M. Barry
Markets for IPOs and debt issuances are syndicated, in the sense that a bidder who wins a contract may invite losing bidders to join a syndicate that together fulfills the contract. We show that in markets with syndication, standard intuitions from industrial...  View Details
Keywords: Collusion; Antitrust; IPO Underwriting; Syndication; ＂Repeated Games＂; Markets; Game Theory
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  • September 2020
  • Article

Analyst Forecast Bundling
By: Michael Drake, Peter Joos, Joseph Pacelli and Brady Twedt
Changing economic conditions over the past two decades have created incentives for sell-side analysts to both provide their institutional clients tiered services and to streamline their written research process. One manifestation of these changes is an increased...  View Details
Keywords: Analysts; Earnings Forecasts; Forecast Accuracy; Forecast Bundling; Business Earnings; Forecasting and Prediction
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  • 2020
  • Working Paper

Design and Analysis of Switchback Experiments
By: Iavor I Bojinov, David Simchi-Levi and Jinglong Zhao
In switchback experiments, a firm sequentially exposes an experimental unit to a random treatment, measures its response, and repeats the procedure for several periods to determine which treatment leads to the best outcome. Although practitioners have widely adopted...  View Details
Keywords: Switchback Experiments; Design; Analysis; Mathematical Methods
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  • 2020
  • Book

Dealmaking: The New Strategy of Negotiauctions
By: Guhan Subramanian
Based on broad research and detailed case studies, Dealmaking provides the jargon-free, empirically sound advice you need to close the deal.
Leading dealmaking scholar Guhan Subramanian specializes in understanding how deals work. As a Harvard Business...  View Details
Keywords: Negotiation; Auctions; Strategy; Competition; Markets; Negotiation Deal
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