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(2,834)
- News (448)
- Research (2,171)
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- Faculty Publications (1,383)
Show Results For
- All HBS Web
(2,834)
- News (448)
- Research (2,171)
- Events (39)
- Multimedia (14)
- Faculty Publications (1,383)
- 2013
- Book
Fortune Tellers: The Story of America's First Economic Forecasters
The period leading up to the Great Depression witnessed the rise of the economic forecasters, pioneers who sought to use the tools of science to predict the future, with the aim of profiting from their forecasts. This book chronicles the lives and careers of the men... View Details
Keywords: Forecasting And Prediction; Economic History; Economics; History; Risk and Uncertainty; United States
Friedman, Walter A. Fortune Tellers: The Story of America's First Economic Forecasters. Princeton University Press, 2013.
- 09 Dec 2015
- Research Event
How Do You Predict Demand and Set Prices For Products Never Sold Before?
explained that the world of business analytics includes descriptive analytics (analyzing what has happened), predictive analytics (analyzing data to figure out what will probably happen), and prescriptive analytics (using data to decide... View Details
- 2013
- Working Paper
Applying Random Coefficient Models to Strategy Research: Testing for Firm Heterogeneity, Predicting Firm-Specific Coefficients, and Estimating Strategy Trade-Offs
By: Juan Alcacer, Wilbur Chung, Ashton Hawk and Goncalo Pacheco-de-Almeida
Although Strategy research aims to understand how firm actions have differential effects on performance, most empirical research estimates the average effects of these actions across firms. This paper promotes Random Coefficients Models (RCMs) as an ideal empirical... View Details
Alcacer, Juan, Wilbur Chung, Ashton Hawk, and Goncalo Pacheco-de-Almeida. "Applying Random Coefficient Models to Strategy Research: Testing for Firm Heterogeneity, Predicting Firm-Specific Coefficients, and Estimating Strategy Trade-Offs." Harvard Business School Working Paper, No. 14-022, September 2013.
- 2022
- Working Paper
TalkToModel: Explaining Machine Learning Models with Interactive Natural Language Conversations
By: Dylan Slack, Satyapriya Krishna, Himabindu Lakkaraju and Sameer Singh
Practitioners increasingly use machine learning (ML) models, yet they have become more complex and harder to understand. To address this issue, researchers have proposed techniques to explain model predictions. However, practitioners struggle to use explainability... View Details
Slack, Dylan, Satyapriya Krishna, Himabindu Lakkaraju, and Sameer Singh. "TalkToModel: Explaining Machine Learning Models with Interactive Natural Language Conversations." Working Paper, 2022.
- 2020
- Conference Presentation
A Performance-optimized Limb Detection Model Selectively Predicts Behavioral Responses Based on Movement Similarity
By: X. Zhao, J. De Freitas, L. Tarhan and G. A. Alvarez
- June 2019
- Teaching Note
Improving Worker Safety in the Era of Machine Learning: Practicum in Predictive Analytics
By: Michael W. Toffel and Dan Levy
Teaching Note for HBS No. 618-019. View Details
- June 2019
- Supplement
Improving Worker Safety in the Era of Machine Learning: Introduction to Predictive Analytics
By: Michael W. Toffel and Dan Levy
- June 2019
- Teaching Note
Improving Worker Safety in the Era of Machine Learning: Introduction to Predictive Analytics
By: Michael W. Toffel and Dan Levy
Teaching Note for HBS No. 618-019. View Details
- Article
Predicting Soccer Matches after Unconscious and Conscious Thought as a Function of Expertise
Keywords: Cognition and Thinking
Dijksterhuis, Ap, Maarten W. Bos, Andries Van der Leij, and Rick B. Van Baaren. "Predicting Soccer Matches after Unconscious and Conscious Thought as a Function of Expertise." Psychological Science 20, no. 11 (November 2009): 1381–1387.
- June 2019
- Supplement
Improving Worker Safety in the Era of Machine Learning: Practicum in Predictive Analytics
By: Michael W. Toffel and Dan Levy
- 2013
- Working Paper
Appendix to '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. "Appendix to 'Return Predictability in the Treasury Market: Real Rates, Inflation, and Liquidity'." Working Paper, September 2013.
- fall 1999
- Article
(Dis)Respecting versus (Dis)liking: Status and Interdepenences Predict Ambivalent Stereotypes of Competence and Warmth
By: S.T. Fiske, J. Xu, A.J.C. Cuddy and P. Glick
Fiske, S.T., J. Xu, A.J.C. Cuddy, and P. Glick. "(Dis)Respecting versus (Dis)liking: Status and Interdepenences Predict Ambivalent Stereotypes of Competence and Warmth." Journal of Social Issues 55, no. 3 (fall 1999): 473–490.
- 1998
- Book
Do Lunch or Be Lunch: The Power of Predictability in Creating Your Future
By: H. H. Stevenson and Jeffrey L. Cruikshank
Keywords: Personal Development and Career
Stevenson, H. H., and Jeffrey L. Cruikshank. Do Lunch or Be Lunch: The Power of Predictability in Creating Your Future. Boston: Harvard Business School Press, 1998.
- 01 Jun 2023
- News
3-Minute Briefing: Jeremy Grantham (MBA 1966)
Edited by Julia Hanna; photo by Webb Chappell When I was 16, I took my savings to the bank and bought some shares of a neighbor’s scaffolding company. Before coming to HBS, I sold them to my mother, who had also acquired some, and we felt pleased about saving the... View Details
- 2018
- Working Paper
Moral Prospection: Cognitive Bias and the Failure to Predict Moral Backlash Toward an Organization
By: J. Lees
- 2014
- Working Paper
Amount and Diversity of Emotional Expression on Facebook Predicts Life Satisfaction around the World
By: A. Kogan, F. Zhang, R. Sun, E. Simon-Thomas, P. Piff, S. Fan, J. Gruber, J. Quoidbach, M. I. Norton, C. Gronin, P. Fleming, D. Keltner and A.W. Brooks
Kogan, A., F. Zhang, R. Sun, E. Simon-Thomas, P. Piff, S. Fan, J. Gruber, J. Quoidbach, M. I. Norton, C. Gronin, P. Fleming, D. Keltner, and A.W. Brooks. "Amount and Diversity of Emotional Expression on Facebook Predicts Life Satisfaction around the World." Working Paper, 2014.
- 2016
- Working Paper
Paying for the Truth: The Efficacy of a Peer Prediction Mechanism in the Field
By: Natalia Rigol and Benjamin N. Roth
Rigol, Natalia, and Benjamin N. Roth. "Paying for the Truth: The Efficacy of a Peer Prediction Mechanism in the Field." Working Paper, April 2016.