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Publications

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  • All HBS Web  (2,861)
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    • Research  (2,200)
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Show Results For

  • All HBS Web  (2,861)
    • News  (468)
    • Research  (2,200)
    • Events  (43)
    • Multimedia  (14)
  • Faculty Publications  (1,410)
← Page 17 of 2,861 Results →
  • 30 Apr 2020
  • News

A Harvard Professor Calling for Us to ‘Reimagine Capitalism’ Says COVID-19 Has Revealed 3 Fault Lines in Our Economy

  • October 2019
  • Article

Making Sense of Recommendations

By: Michael Yeomans, Anuj Shah, Sendhil Mullainathan and Jon Kleinberg
Computer algorithms are increasingly being used to predict people's preferences and make recommendations. Although people frequently encounter these algorithms because they are cheap to scale, we do not know how they compare to human judgment. Here, we compare computer... View Details
Keywords: Recommender Systems; Artificial Intelligence; Interpretability; Information Technology; Forecasting and Prediction; Decision Making; Attitudes
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Yeomans, Michael, Anuj Shah, Sendhil Mullainathan, and Jon Kleinberg. "Making Sense of Recommendations." Journal of Behavioral Decision Making 32, no. 4 (October 2019): 403–414.
  • July – August 2008
  • Article

When Virtue Is a Vice

By: Anat Keinan and Ran Kivetz
Choosing duty over pleasure today can cause regret down the road—whereas regret over the reverse is fleeting. Marketers of luxury products and services should consider prompting customers to predict their future feelings about choices made now. View Details
Keywords: Decision Choices and Conditions; Forecasting and Prediction; Moral Sensibility; Marketing Strategy; Consumer Behavior; Emotions; Luxury
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Keinan, Anat, and Ran Kivetz. "When Virtue Is a Vice." HBS Centennial Issue Harvard Business Review 86, nos. 7/8 (July–August 2008): 22.
  • October 2000
  • Article

The Equity Share in New Issues and Aggregate Stock Returns

By: Malcolm Baker and Jeffrey Wurgler
The share of equity issues in total new equity and debt issues is a strong predictor of U.S. stock market returns between 1928 and 1997. In particular, firms issue more equity than debt just before periods of low market returns. The equity share in new issues has... View Details
Keywords: Equity; Borrowing and Debt; Stocks; Markets; Debt Securities; Forecasting and Prediction; Accounting Industry; United States
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Baker, Malcolm, and Jeffrey Wurgler. "The Equity Share in New Issues and Aggregate Stock Returns." Journal of Finance 55, no. 5 (October 2000): 2219–57.
  • 07 Jun 2019
  • Working Paper Summaries

Reflexivity in Credit Markets

Keywords: by Robin Greenwood, Samuel G. Hanson, and Lawrence J. Jin
  • 08 Dec 2010
  • Working Paper Summaries

Decoding Inside Information

Keywords: by Lauren Cohen, Christopher Malloy & Lukasz Pomorski; Financial Services
  • December 2023
  • Article

Save More Today or Tomorrow: The Role of Urgency in Precommitment Design

By: Joseph Reiff, Hengchen Dai, John Beshears, Katherine L. Milkman and Shlomo Benartzi
To encourage farsighted behaviors, past research suggests that marketers may be wise to invite consumers to pre-commit to adopt them “later.” However, the authors propose that people will draw different inferences from different types of pre-commitment offers, and that... View Details
Keywords: Consumer Behavior; Decision Choices and Conditions
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Reiff, Joseph, Hengchen Dai, John Beshears, Katherine L. Milkman, and Shlomo Benartzi. "Save More Today or Tomorrow: The Role of Urgency in Precommitment Design." Journal of Marketing Research (JMR) 60, no. 6 (December 2023): 1095–1113.
  • October 2016 (Revised April 2018)
  • Case

DataXu: Selling Ad Tech

By: Frank V. Cespedes, John Deighton, Lisa Cox and Olivia Hull
DataXu served marketers by buying digital advertising for brands using its demand-side platform. It sought a way to build a more predictable revenue stream in the very transactional media marketplace, and hoped that two new marketing analytics products would give it a... View Details
Keywords: Sales Management; Pricing; Programmatic Ad Buying; "Marketing Analytics"; Advertising Technology; Sales; Digital Marketing; Marketing Strategy; Advertising Campaigns; Product Launch; Product Positioning; Media; Technology Industry; Advertising Industry; Boston; Massachusetts
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Cespedes, Frank V., John Deighton, Lisa Cox, and Olivia Hull. "DataXu: Selling Ad Tech." Harvard Business School Case 817-012, October 2016. (Revised April 2018.)
  • January–February 2023
  • Article

Forecasting COVID-19 and Analyzing the Effect of Government Interventions

By: Michael Lingzhi Li, Hamza Tazi Bouardi, Omar Skali Lami, Thomas Trikalinos, Nikolaos Trichakis and Dimitris Bertsimas
We developed DELPHI, a novel epidemiological model for predicting detected cases and deaths in the prevaccination era of the COVID-19 pandemic. The model allows for underdetection of infections and effects of government interventions. We have applied DELPHI across more... View Details
Keywords: COVID-19 Pandemic; Epidemics; Analytics and Data Science; Health Pandemics; AI and Machine Learning; Forecasting and Prediction
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Li, Michael Lingzhi, Hamza Tazi Bouardi, Omar Skali Lami, Thomas Trikalinos, Nikolaos Trichakis, and Dimitris Bertsimas. "Forecasting COVID-19 and Analyzing the Effect of Government Interventions." Operations Research 71, no. 1 (January–February 2023): 184–201.
  • 03 Mar 2014
  • Research & Ideas

Facebook’s Future

Editor's note: Now 10 years old, Facebook's growth is starting to slow. That's one reason it purchased What'sApp last month in a jaw-dropping deal valued at $19 billion. What might the next decade be like? Harvard Business School Associate Professor Mikolaj Piskorski,... View Details
Keywords: by Mikolaj Piskorski
  • 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
Keywords: Representation; Racial Disparity; Health Testing and Trials; Race; Equality and Inequality; Innovation and Invention; Pharmaceutical Industry
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Alsan, Marcella, Maya Durvasula, Harsh Gupta, Joshua Schwartzstein, and Heidi L. Williams. "Representation and Extrapolation: Evidence from Clinical Trials." Quarterly Journal of Economics 139, no. 1 (February 2024): 575–635.
  • 31 Oct 2004
  • What Do You Think?

Should the Wisdom of Crowds Influence Our Thinking About Leadership?

have been found to be better than a few experts at everything from estimating the true magnitude of things (as in guessing the number of jelly beans in a jar) to diagnosing causes of problems (as in determining that the O-ring seals were the primary cause of the... View Details
Keywords: by James Heskett
  • March 2002 (Revised December 2002)
  • Background Note

A Note on Corporate Venturing and New Business Creation

By: David A. Garvin
Presents an introduction and overview of corporate venturing. Describes the need for companies to create new businesses, the stages in the process, predictable problems and challenges, the strengths and weaknesses of alternative approaches such as internal venture... View Details
Keywords: Business Plan; Business Startups; Forecasting and Prediction; Venture Capital; Problems and Challenges
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Garvin, David A. "A Note on Corporate Venturing and New Business Creation." Harvard Business School Background Note 302-091, March 2002. (Revised December 2002.)
  • 2001
  • Working Paper

When Does the Market Matter? Stock Prices and the Investment of Equity Dependent Firms

By: Malcolm Baker, Jeremy Stein and Jeffrey Wurgler
We use a simple model of corporate investment to determine when investment will be sensitive to non-fundamental movements in stock prices. The key cross-sectional prediction of the model is that stock prices will have a stronger impact on the investment of firms that... View Details
Keywords: Investment; Equity; Stocks; Price; Mathematical Methods; Forecasting and Prediction
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Baker, Malcolm, Jeremy Stein, and Jeffrey Wurgler. "When Does the Market Matter? Stock Prices and the Investment of Equity Dependent Firms." NBER Working Paper Series, No. 8750, December 2001. (First draft in 2001.)
  • August 2003
  • Article

When Does the Market Matter? Stock Prices and the Investment of Equity-Dependent Firms

By: Malcolm Baker, Jeremy Stein and Jeffrey Wurgler
We use a simple model of corporate investment to determine when investment will be sensitive to non-fundamental movements in stock prices. The key cross-sectional prediction of the model is that stock prices will have a stronger impact on the investment of firms that... View Details
Keywords: Stocks; Price; Investment; Equity; Forecasting and Prediction; Rank and Position; Markets
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Baker, Malcolm, Jeremy Stein, and Jeffrey Wurgler. "When Does the Market Matter? Stock Prices and the Investment of Equity-Dependent Firms." Quarterly Journal of Economics 118, no. 3 (August 2003): 969–1006.
  • 14 Aug 2020
  • News

Remote Work Has Cushioned The Pandemic's Blow, But WBUR Poll Reveals Inequalities

  • fall 2007
  • Article

The Design of Patent Pools: The Determinants of Licensing Rules

By: Josh Lerner, Marcin Strojwas and Jean Tirole
Patent pools are an important but little-studied economic institution. In this paper, we first make a set of predictions about the licensing terms associated with patent pools. The theoretical framework predicts that (a) pools consisting of complementary patents are... View Details
Keywords: Governing Rules, Regulations, and Reforms; Collaborative Innovation and Invention; Patents; Rights
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Lerner, Josh, Marcin Strojwas, and Jean Tirole. "The Design of Patent Pools: The Determinants of Licensing Rules." RAND Journal of Economics 38, no. 3 (fall 2007): 610–625. (Earlier version distributed as National Bureau of Economic Research Working Paper No. 9680.)
  • Article

Soul and Machine (Learning)

By: Davide Proserpio, John R. Hauser, Xiao Liu, Tomomichi Amano, Burnap Alex, Tong Guo, Dokyun (DK) Lee, Randall Lewis, Kanishka Misra, Eric Schwarz, Artem Timoshenko, Lilei Xu and Hema Yoganarasimhan
Machine learning is bringing us self-driving cars, medical diagnoses, and language translation, but how can machine learning help marketers improve marketing decisions? Machine learning models predict extremely well, are scalable to “big data,” and are a natural fit to... View Details
Keywords: Machine Learning; Marketing Applications; Knowledge; Technological Innovation; Core Relationships; Marketing; Applications and Software
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Proserpio, Davide, John R. Hauser, Xiao Liu, Tomomichi Amano, Burnap Alex, Tong Guo, Dokyun (DK) Lee, Randall Lewis, Kanishka Misra, Eric Schwarz, Artem Timoshenko, Lilei Xu, and Hema Yoganarasimhan. "Soul and Machine (Learning)." Marketing Letters 31, no. 4 (December 2020): 393–404.
  • Article

The Cross Section of Expected Holding Period Returns and Their Dynamics: A Present Value Approach

By: Matthew R. Lyle and Charles C.Y. Wang
We provide a tractable model of firm-level expected holding period returns using two firm fundamentals—book-to-market ratio and ROE—and study the cross-sectional properties of the model-implied expected returns. We find that 1) firm-level expected returns and expected... View Details
Keywords: Expected Returns; Discount Rates; Holding Period Returns; Fundamental Valuation; Present Value; Valuation; Investment Return
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Lyle, Matthew R., and Charles C.Y. Wang. "The Cross Section of Expected Holding Period Returns and Their Dynamics: A Present Value Approach." Journal of Financial Economics 116, no. 3 (June 2015): 505–525.
  • Article

Ensembles of Overfit and Overconfident Forecasts

By: Y. Grushka-Cockayne, V.R.R. Jose and K. C. Lichtendahl
Firms today average forecasts collected from multiple experts and models. Because of cognitive biases, strategic incentives, or the structure of machine-learning algorithms, these forecasts are often overfit to sample data and are overconfident. Little is known about... View Details
Keywords: Decision Analysis; Data Science; Forecasting and Prediction; Data and Data Sets
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Grushka-Cockayne, Y., V.R.R. Jose, and K. C. Lichtendahl. "Ensembles of Overfit and Overconfident Forecasts." Management Science 63, no. 4 (April 2017): 1110–1130.
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