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- 2024
- Working Paper
Empirical Guidance: Data Processing and Analysis with Applications in Stata, R, and Python
By: Melissa Ouellet and Michael W. Toffel
This paper describes a range of best practices to compile and analyze datasets, and includes some examples in Stata, R, and Python. It is meant to serve as a reference for those getting started in econometrics, and especially those seeking to conduct data analyses in...
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Keywords:
Empirical Methods;
Empirical Operations;
Statistical Methods And Machine Learning;
Statistical Interferences;
Research Analysts;
Analytics and Data Science;
Mathematical Methods
Ouellet, Melissa, and Michael W. Toffel. "Empirical Guidance: Data Processing and Analysis with Applications in Stata, R, and Python." Harvard Business School Working Paper, No. 25-010, August 2024.
- 2024
- Other Unpublished Work
Modernizing the U.S. Exchange Visitor Skills List
By: William R. Kerr and Michael C. Clemens
- September–October 2024
- Article
Where Data-Driven Decision-Making Can Go Wrong
By: Michael Luca and Amy C. Edmondson
When considering internal data or the results of a study, often business leaders either take the evidence presented as gospel or dismiss it altogether. Both approaches are misguided. What leaders need to do instead is conduct rigorous discussions that assess any...
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Luca, Michael, and Amy C. Edmondson. "Where Data-Driven Decision-Making Can Go Wrong." Harvard Business Review 102, no. 5 (September–October 2024): 80–89.
- August 2024
- Background Note
Mitigating Climate Change with Machine Learning
By: Michael W. Toffel, Kelsey Carter, Amy Chambers, Avery Park and Susan Pinckney
This note highlights how machine learning is being used to decarbonize (reduce GHG emissions) several key sectors including electricity, transportation, building, industrial processes, and agriculture -- and how machine learning is being used to accelerate efforts to...
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Toffel, Michael W., Kelsey Carter, Amy Chambers, Avery Park, and Susan Pinckney. "Mitigating Climate Change with Machine Learning." Harvard Business School Background Note 625-014, August 2024.
- 2024
- Article
Neyman Meets Causal Machine Learning: Experimental Evaluation of Individualized Treatment Rules
By: Michael Lingzhi Li and Kosuke Imai
A century ago, Neyman showed how to evaluate the efficacy of treatment using a randomized experiment under a minimal set of assumptions. This classical repeated sampling framework serves as a basis of routine experimental analyses conducted by today’s scientists across...
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Li, Michael Lingzhi, and Kosuke Imai. "Neyman Meets Causal Machine Learning: Experimental Evaluation of Individualized Treatment Rules." Journal of Causal Inference 12, no. 1 (2024).
- August 2024
- Article
Not a One-Trick Pony: Price Impact of Rating Agency Information
By: Michael Machokoto and Anywhere Sikochi
Prior literature on the informational role of credit rating agencies has largely focused on announcements by the rating agencies regarding rating actions. We take a tangent in this paper and examine the relevance of rating agencies' other information disclosures beyond...
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Machokoto, Michael, and Anywhere Sikochi. "Not a One-Trick Pony: Price Impact of Rating Agency Information." Art. 111837. Economics Letters 241 (August 2024).
- July 2024
- Case
Negotiating in a Hurricane: John Branca and the Michael Jackson Estate
By: James K. Sebenius and Alex Green
When the "King of Pop," Michael Jackson, unexpectedly died in 2009, he left behind an estate that was over $500 million in debt, with largely illiquid assets, and legions of creditors poised to begin to seize assets in as soon as 60 days. The task of managing Jackson’s...
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Keywords:
Bargaining;
Dispute Resolution;
Negotiation;
Entertainment;
Financial Liquidity;
Financial Management;
Music Industry
Sebenius, James K., and Alex Green. "Negotiating in a Hurricane: John Branca and the Michael Jackson Estate." Harvard Business School Case 924-026, July 2024.
- July 11, 2024
- Article
Research: New Hires’ Psychological Safety Erodes Quickly
By: Derrick P. Bransby, Michael J. Kerrissey and Amy C. Edmondson
Across industries, from manufacturing to health care, the luxury of waiting years to benefit from new talent is long gone. Thriving in today’s dynamic economy means bringing new hires up the learning curve faster than ever. Yet, the authors’ latest research suggests...
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Bransby, Derrick P., Michael J. Kerrissey, and Amy C. Edmondson. "Research: New Hires’ Psychological Safety Erodes Quickly." Harvard Business Review Digital Articles (July 11, 2024).
- July 2024
- Case
Michael Ross: Whether to Move From Private Equity to Pest Control
By: David L. Ager, Zeynep Ton and Amanda Silver
- July 2024
- Background Note
District Heating: An Overview
By: Willy Shih and Michael W. Toffel
This note provides an overview of district heating: systems in which central plants generate heat that is conveyed by steam or water through a set of insulated pipes to send heat to residential and/or commercial buildings. It describes key elements of the system (heat...
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- July 2024
- Case
Hospital for Special Surgery: Returning to a New Normal? (B)
By: Robert S. Huckman, Michael Lingzhi Li and Camille Gregory
- June 26, 2024
- Article
How NFT Royalties Work: Designs, Challenges, and New Ideas
By: Michael Blau, Scott Duke Kominers and Daren Matsuoka
Blau, Michael, Scott Duke Kominers, and Daren Matsuoka. "How NFT Royalties Work: Designs, Challenges, and New Ideas." a16zcrypto.com (June 26, 2024).
- June 2024
- Case
Accounting for Loans at SoFi Technologies
By: Joseph Pacelli and Michael Norris
At the release of its first quarter earnings report on May 1, 2023, digital bank SoFi beat its earnings guidance by 25%. On May 2, Wedbush Securities analyst David Chiaverini issued a report downgrading the stock. A second downgrade followed from Chiaverini on May 15....
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- June 2024
- Article
Counterparty Risk and Counterparty Choice in the Credit Default Swap Market
By: Wenxin Du, Salil Gadgil, Michael Gordy and Clara Vega
We investigate how market participants price and manage counterparty credit risk using confidential trade repository data on single-name credit default swap (CDS) transactions. We find that counterparty risk has a modest impact on the pricing of CDS contracts but a...
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Keywords:
Credit Derivatives and Swaps;
Market Participation;
Risk and Uncertainty;
Price;
Financial Markets;
Credit
Du, Wenxin, Salil Gadgil, Michael Gordy, and Clara Vega. "Counterparty Risk and Counterparty Choice in the Credit Default Swap Market." Management Science 70, no. 6 (June 2024): 3808–3826.