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(2,963)
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- Faculty Publications (1,424)
Show Results For
- All HBS Web
(2,963)
- News (476)
- Research (2,196)
- Events (43)
- Multimedia (14)
- Faculty Publications (1,424)
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- 1996
- Other Unpublished Work
Testing for Structural Change in the Predictability of Asset Returns
By: Luis M. Viceira
Viceira, Luis M. "Testing for Structural Change in the Predictability of Asset Returns." 1996.
- 10 Aug 2013 - 13 Aug 2013
- Conference Presentation
Stock Market Prediction via Social Media: The Importance of Competitors
By: Frank Nagle
- April 2024
- Article
A Machine Learning Algorithm Predicting Risk of Dilating VUR among Infants with Hydronephrosis Using UTD Classification
By: Hsin-Hsiao Scott Wang, Michael Lingzhi Li, Dylan Cahill, John Panagides, Tanya Logvinenko, Jeanne Chow and Caleb Nelson
Backgrounds: Urinary Tract Dilation (UTD) classification has been designed to be a more objective grading system to evaluate antenatal and post-natal UTD. Due to unclear association between UTD classifications to specific anomalies such as vesico-ureteral reflux (VUR),... View Details
Wang, Hsin-Hsiao Scott, Michael Lingzhi Li, Dylan Cahill, John Panagides, Tanya Logvinenko, Jeanne Chow, and Caleb Nelson. "A Machine Learning Algorithm Predicting Risk of Dilating VUR among Infants with Hydronephrosis Using UTD Classification." Journal of Pediatric Urology 20, no. 2 (April 2024): 271–278.
- May 2018
- Article
The Amount and Source of Millionaires' Wealth (Moderately) Predicts Their Happiness
By: Grant Edward Donnelly, Tianyi Zheng, Emily Haisley and Michael I. Norton
Two samples of more than 4,000 millionaires reveal two primary findings. First, only at high levels of wealth—in excess of $8 million (Study 1) and $10 million (Study 2)—are wealthier millionaires happier than millionaires with lower levels of wealth, though these... View Details
Donnelly, Grant Edward, Tianyi Zheng, Emily Haisley, and Michael I. Norton. "The Amount and Source of Millionaires' Wealth (Moderately) Predicts Their Happiness." Personality and Social Psychology Bulletin 44, no. 5 (May 2018): 684–699.
- 15 Aug 2016
- Research & Ideas
Black Swans and Big Trends Can Ruin Anyone's Internet Prediction
investments are once again declining. Reasoning that today’s tech entrepreneurs and investors might value a history lesson, I’ve published Speed Trap as an ebook, which is downloadable for free in PDF format, and available in the iBooks Store for free and in the Kindle... View Details
- August 2016
- Article
The Role of (Dis)similarity in (Mis)predicting Others' Preferences
By: Kate Barasz, Tami Kim and Leslie K. John
Consumers readily indicate liking options that appear dissimilar—for example, enjoying both rustic lake vacations and chic city vacations or liking both scholarly documentary films and action-packed thrillers. However, when predicting other consumers’ tastes for the... View Details
Keywords: Perceived Similarity; Prediction Error; Preference Prediction; Self-other Difference; Social Inference; Cognition and Thinking; Perception; Forecasting and Prediction
Barasz, Kate, Tami Kim, and Leslie K. John. "The Role of (Dis)similarity in (Mis)predicting Others' Preferences." Journal of Marketing Research (JMR) 53, no. 4 (August 2016): 597–607.
- 31 May 2023
- Research & Ideas
With Predictive Analytics, Companies Can Tap the Ultimate Opportunity: Customers’ Routines
used that information to predict how often and when a customer may request a car as part of their routine. The model could drill into specific kinds of routines, too: The model identifies seven clusters of typical ridesharing routines in... View Details
- 2023
- Chapter
Analyzing Human Decisions and Machine Predictions in Bail Decision Making
By: Jon Kleinberg, Himabindu Lakkaraju, Jure Leskovec, Jens Ludwig and Sendhil Mullainathan
BOOK ABSTRACT: Oriented toward the introductory student, The Inequality Reader is the essential textbook for today's undergraduate courses. The editors have assembled the most important classic and contemporary readings about how poverty and inequality are... View Details
Keywords: Equality and Inequality
Kleinberg, Jon, Himabindu Lakkaraju, Jure Leskovec, Jens Ludwig, and Sendhil Mullainathan. "Analyzing Human Decisions and Machine Predictions in Bail Decision Making." In The Inequality Reader: Contemporary and Foundational Readings in Race, Class, and Gender. 3rd edition, edited by David B. Grusky and Szonja Szelényi. Routledge, forthcoming.
- 9 May 2013 - 11 May 2013
- Conference Presentation
Stock Market Prediction via Social Media: The Importance of Competitors
By: Frank Nagle
- December 2023
- Supplement
Accounting for Loan Losses at JPMorgan Chase: Predicting Credit Costs
By: Jonas Heese and Jung Koo Kang
- Article
Interpretable Decision Sets: A Joint Framework for Description and Prediction
By: Himabindu Lakkaraju, Stephen H. Bach and Jure Leskovec
Lakkaraju, Himabindu, Stephen H. Bach, and Jure Leskovec. "Interpretable Decision Sets: A Joint Framework for Description and Prediction." Proceedings of the ACM SIGKDD Conference on Knowledge Discovery and Data Mining 22nd (2016).
- June 7, 1990
- Article
New Trading Practices and the Short-run Predictability of the S&P 500
By: André Perold, Kenneth A. Froot and James F. Gammill Jr.
- December 2021
- Article
Entrepreneurial Learning and Strategic Foresight
By: Aticus Peterson and Andy Wu
We study how learning by experience across projects affects an entrepreneur's strategic foresight. In a quantitative study of 314 entrepreneurs across 722 crowdfunded projects supplemented with a program of qualitative interviews, we counterintuitively find that... View Details
Keywords: Crowdfunding; Experience; Prediction; Timeline; Complexity; Entrepreneurship; Learning; Experience and Expertise; Forecasting and Prediction
Peterson, Aticus, and Andy Wu. "Entrepreneurial Learning and Strategic Foresight." Art. 1. Strategic Management Journal 42, no. 13 (December 2021): 2357–2388. (Lead article.)
- 2013
- Article
Where Not to Eat? Improving Public Policy by Predicting Hygiene Inspections Using Online Reviews
By: Jun Seok Kang, Polina Kuznetsova, Yejin Choi and Michael Luca
Restaurant hygiene inspections are often cited as a success story of public disclosure. Hygiene grades influence customer decisions and serve as an accountability system for restaurants. However, cities (which are responsible for inspections) have limited resources to... View Details
Keywords: Safety; Food; Governance Compliance; Mathematical Methods; Applications and Software; Public Administration Industry; Retail Industry; Food and Beverage Industry
Kang, Jun Seok, Polina Kuznetsova, Yejin Choi, and Michael Luca. "Where Not to Eat? Improving Public Policy by Predicting Hygiene Inspections Using Online Reviews." Proceedings of the Conference on Empirical Methods in Natural Language Processing (2013): 1443–1448.
- August 1999
- Article
Positive Illusions and Biases of Prediction in Mutual Fund Investment Decisions
By: D. A. Moore, T. R. Kurtzberg, C. R. Fox and M. H. Bazerman
Moore, D. A., T. R. Kurtzberg, C. R. Fox, and M. H. Bazerman. "Positive Illusions and Biases of Prediction in Mutual Fund Investment Decisions." Organizational Behavior and Human Decision Processes 79, no. 2 (August 1999): 95–114.
- 2016
- Chapter
Return Predictability in the Treasury Market: Real Rates, Inflation, and Liquidity
By: Carolin E. Pflueger and Luis M. Viceira
Pflueger, Carolin E., and Luis M. Viceira. "Return Predictability in the Treasury Market: Real Rates, Inflation, and Liquidity." Chap. 10 in Handbook of Fixed-Income Securities, edited by Pietro Veronesi, 191–209. Wiley Handbooks in Financial Engineering and Econometrics. Hoboken, NJ: John Wiley & Sons, 2016.
- May 2006
- Article
Detection Defection: Measuring and Understanding the Predictive Accuracy of Customer Churn Models
By: Scott Neslin, Sunil Gupta, Wagner Kamakura, Junxiang Lu and Charlotte Mason
Neslin, Scott, Sunil Gupta, Wagner Kamakura, Junxiang Lu, and Charlotte Mason. "Detection Defection: Measuring and Understanding the Predictive Accuracy of Customer Churn Models." Journal of Marketing Research (JMR) 43, no. 2 (May 2006): 204–211.
- 2004
- Book
Seeing What's Next: Using the Theories of Innovation to Predict Industry Change
By: C. M. Christensen, Scott D. Anthony and Erik A Roth
Christensen, C. M., Scott D. Anthony, and Erik A Roth. Seeing What's Next: Using the Theories of Innovation to Predict Industry Change. Boston: Harvard Business School Press, 2004.
- Article
The Selective Labels Problem: Evaluating Algorithmic Predictions in the Presence of Unobservables
By: Himabindu Lakkaraju, Jon Kleinberg, Jure Leskovec, Jens Ludwig and Sendhil Mullainathan
Lakkaraju, Himabindu, Jon Kleinberg, Jure Leskovec, Jens Ludwig, and Sendhil Mullainathan. "The Selective Labels Problem: Evaluating Algorithmic Predictions in the Presence of Unobservables." Proceedings of the ACM SIGKDD Conference on Knowledge Discovery and Data Mining 23rd (2017).