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- Faculty Publications (44)
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- All HBS Web (113)
- Faculty Publications (44)
- 11 Jan 2007
- Working Paper Summaries
A Perceptions Framework for Categorizing Inventory Policies in Single-stage Inventory Systems
Keywords:
by Noel Watson
- February 2005
- Article
Financial Analyst Characteristics and Herding Behavior in Forecasting
By: Michael B. Clement and Senyo Tse
This study classifies analysts' earnings forecasts as herding or bold and finds that (1) boldness likelihood increases with the analyst's prior accuracy, brokerage size, and experience and declines with the number of industries the analyst follows, consistent with...
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Keywords:
Experience and Expertise;
Forecasting and Prediction;
Performance Evaluation;
Financial Services Industry
Clement, Michael B., and Senyo Tse. "Financial Analyst Characteristics and Herding Behavior in Forecasting." Journal of Finance 60, no. 1 (February 2005): 307–341.
- 2016
- Working Paper
Bias in Official Fiscal Forecasts: Can Private Forecasts Help?
By: Jeffrey A. Frankel and Jesse Schreger
Government forecasts of GDP growth and budget balances are generally more over optimistic than private sector forecasts. When official forecasts are especially optimistic relative to private forecasts ex ante, they are more likely also to be over optimistic relative to...
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Frankel, Jeffrey A., and Jesse Schreger. "Bias in Official Fiscal Forecasts: Can Private Forecasts Help?" NBER Working Paper Series, No. 22349, June 2016.
- 2023
- Working Paper
PRIMO: Private Regression in Multiple Outcomes
By: Seth Neel
We introduce a new differentially private regression setting we call Private Regression in Multiple Outcomes (PRIMO), inspired the common situation where a data analyst wants to perform a set of l regressions while preserving privacy, where the covariates...
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Neel, Seth. "PRIMO: Private Regression in Multiple Outcomes." Working Paper, March 2023.
- 12 Jan 2009
- Research & Ideas
The Value of a ‘Portable’ Career
organizations much like many others, subject to the errors that are common elsewhere. But their successes and failures are highly visible and amplified by the fact that they perform in a zero-sum world. In order for one team to win,...
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- 2023
- Working Paper
Insufficiently Justified Disparate Impact: A New Criterion for Subgroup Fairness
By: Neil Menghani, Edward McFowland III and Daniel B. Neill
In this paper, we develop a new criterion, "insufficiently justified disparate impact" (IJDI), for assessing whether recommendations (binarized predictions) made by an algorithmic decision support tool are fair. Our novel, utility-based IJDI criterion evaluates false...
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Menghani, Neil, Edward McFowland III, and Daniel B. Neill. "Insufficiently Justified Disparate Impact: A New Criterion for Subgroup Fairness." Working Paper, June 2023.
- 2013
- Article
Boardroom Centrality and Firm Performance
By: David F. Larcker, Eric C. So and Charles C.Y. Wang
Firms with central or well-connected boards of directors earn superior risk-adjusted stock returns. Initiating a long position in the most central firms and a short position in the least central firms earns an average risk-adjusted return of 4.68% per year. Firms with...
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Larcker, David F., Eric C. So, and Charles C.Y. Wang. "Boardroom Centrality and Firm Performance." Journal of Accounting & Economics 55, nos. 2-3 (April–May 2013): 225–250.
- Research Summary
Overview
By: Ethan C. Rouen
Relying on empirical archival methodologies—as well as techniques in data science—to develop and structure new sources of data by which to approach questions of looming disclosure changes, Professor Rouen has focused on one of the Securities and Exchange Commission’s...
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- October 2018
- Article
The Operational Value of Social Media Information
By: Ruomeng Cui, Santiago Gallino, Antonio Moreno and Dennis J. Zhang
While the value of using social media information has been established in multiple business contexts, the field of operations and supply chain management have not yet explored the possibilities it offers in improving firms' operational decisions. This study attempts to...
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Cui, Ruomeng, Santiago Gallino, Antonio Moreno, and Dennis J. Zhang. "The Operational Value of Social Media Information." Special Issue on Big Data in Supply Chain Management. Production and Operations Management 27, no. 10 (October 2018): 1749–1774.
- 12 Jun 2018
- First Look
New Research and Ideas, June 12, 2018
technology, but these results are driven almost entirely by heterogeneous effects by those with and without computer science and engineering (CS&E) backgrounds. Specifically, tests of underlying mechanisms reveal that unlocking superior View Details
Keywords:
Dina Gerdeman
- Web
Students on the Job Market - Doctoral
Adi Sunderam Curriculum Vitae | Website | Email Jiafeng (Kevin) Chen Abstract: Empirical Bayes When Estimation Precision Predicts Parameters Empirical Bayes shrinkage methods usually maintain a prior independence assumption: The unknown...
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- 20 Aug 2013
- First Look
First Look: August 20
evidence. In our model, firms over-extrapolate exogenous demand shocks and partially neglect the endogenous investment responses of their competitors. Formal estimation of the model confirms that both types of expectational errors are...
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Keywords:
Anna Secino
- 12 Jul 2016
- First Look
July 12, 2016
forecasts as an input into the government budgeting-making process would probably reduce official forecast errors for budget deficits. Download working paper: https://pubwww.hbs.edu/faculty/Pages/item.aspx?num=51324 College Tuition, Public...
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Sean Silverthorne
- 22 Feb 2024
- Research & Ideas
How to Make AI 'Forget' All the Private Data It Shouldn't Have
predictions about the world. And now, even though generative AI feels very different from making a simple prediction, at a technical level, that's really what it is. In order to train these predictive...
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- 17 Aug 2020
- Research & Ideas
What the Stockdale Paradox Tells Us About Crisis Leadership
naturally that way; I knew too much about the politics of Asia when I got shot down. I think there was a lot of damage done by optimists; other writers from other wars share that opinion. The problem is, some people believe what professional optimists are passing out...
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by Boris Groysberg and Robin Abrahams
- Web
Behavioral Finance & Financial Stability
Benjamin’s other research here, and David’s other research here. More Info Overreaction in Macroeconomic Expectations By: Pedro Bordalo, Nicola Gennaioli, Yueran Ma & Andrei Shleifer SEP 2020 What does predictability of forecast View Details
- 22 Oct 2019
- Research & Ideas
Use Artificial Intelligence to Set Sales Targets That Motivate
advanced analytics that incorporate artificial intelligence (AI). “Chung has seen companies dramatically improve productivity after adopting advanced analytics to guide compensation.” In an ideal world, a company would use trial and error...
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by Michael Blanding
- 01 Mar 2024
- News
Vital Signs
Estimates suggest a shortfall of about 4 million health care workers worldwide, but the World Health Organization predicts that figure will stretch to 10 million by 2030. Those industry trends are among the factors that drive Lorin...
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- Web
Baker Library Policies | Baker Library | Bloomberg Center | Harvard Business School
for the introduction of errors when you are manipulating data.APPROPRIATE: Engage in dialog with the research requestor in order to ensure that the product you create will serve to further his/her expressed aims.ARCHIVED AND RECOVERABLE:...
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- 21 Aug 2018
- First Look
New Research and Ideas, August 21, 2018
horizons. We also demonstrate that nonlinear boosting models with feature selection, such as random forests, perform significantly better than traditional linear models. The best-performing method (random forest) yields an out-of-sample mean absolute percentage View Details
Keywords:
Dina Gerdeman