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Show Results For
- All HBS Web
(1,723)
- People (9)
- News (318)
- Research (1,048)
- Events (15)
- Multimedia (10)
- Faculty Publications (860)
- 25 Apr 2018
- Blog Post
Policy, Practice, Leadership & Impact: Making a Difference with the HBS/HKS Joint Degree
Harvard Kennedy School’s Master in Public Administration in International Development (MPA-ID) is designed to prepare the next generation of leaders in international development. It is an economics-centered, multidisciplinary program combining rigorous training in... View Details
Keywords: Nonprofit / Government
- 01 Dec 2008
- News
Leadership: Getting Down to Fundamentals
KHURANA: Creating analytical traction and academic legitimacy for a hard-to-define quality that’s needed now more than ever before. In June, Professors Rakesh Khurana and Nitin Nohria cochaired a two-day, cross-disciplinary colloquium at... View Details
Keywords: Julia Hanna
- 2023
- Working Paper
An Experimental Design for Anytime-Valid Causal Inference on Multi-Armed Bandits
By: Biyonka Liang and Iavor I. Bojinov
Typically, multi-armed bandit (MAB) experiments are analyzed at the end of the study and thus require the analyst to specify a fixed sample size in advance. However, in many online learning applications, it is advantageous to continuously produce inference on the... View Details
Liang, Biyonka, and Iavor I. Bojinov. "An Experimental Design for Anytime-Valid Causal Inference on Multi-Armed Bandits." Harvard Business School Working Paper, No. 24-057, March 2024.
- October 1, 2021
- Article
An Evaluation of Cross-efficiency Methods: With an Application to Warehouse Performance.
By: B.M. Balk, M.R. De Koster, Christian Kaps and J.L. Zofio
Cross-efficiency measurement is an extension of Data Envelopment Analysis that allows for tie-breaking ranking of the Decision Making Units (DMUs) using all the peer evaluations. In this article we examine the theory of cross-efficiency measurement by comparing a... View Details
Keywords: Efficiency Analysis; Performance Benchmarking; Warehousing; Analytics and Data Science; Performance Evaluation; Measurement and Metrics; Mathematical Methods
Balk, B.M., M.R. De Koster, Christian Kaps, and J.L. Zofio. "An Evaluation of Cross-efficiency Methods: With an Application to Warehouse Performance." Art. 126261. Applied Mathematics and Computation 406 (October 1, 2021).
- 2022
- Working Paper
The Disagreement Problem in Explainable Machine Learning: A Practitioner's Perspective
By: Satyapriya Krishna, Tessa Han, Alex Gu, Javin Pombra, Shahin Jabbari, Steven Wu and Himabindu Lakkaraju
As various post hoc explanation methods are increasingly being leveraged to explain complex models in high-stakes settings, it becomes critical to develop a deeper understanding of if and when the explanations output by these methods disagree with each other, and how... View Details
Krishna, Satyapriya, Tessa Han, Alex Gu, Javin Pombra, Shahin Jabbari, Steven Wu, and Himabindu Lakkaraju. "The Disagreement Problem in Explainable Machine Learning: A Practitioner's Perspective." Working Paper, 2022.
- 2021
- Working Paper
Invisible Primes: Fintech Lending with Alternative Data
By: Marco Di Maggio, Dimuthu Ratnadiwakara and Don Carmichael
We exploit anonymized administrative data provided by a major fintech platform to investigate whether using alternative data to assess borrowers’ creditworthiness results in broader credit access. Comparing actual outcomes of the fintech platform’s model to... View Details
Keywords: Fintech Lending; Alternative Data; Machine Learning; Algorithm Bias; Finance; Information Technology; Financing and Loans; Analytics and Data Science; Credit
Di Maggio, Marco, Dimuthu Ratnadiwakara, and Don Carmichael. "Invisible Primes: Fintech Lending with Alternative Data." Harvard Business School Working Paper, No. 22-024, October 2021.
- August 2018 (Revised September 2018)
- Supplement
Predicting Purchasing Behavior at PriceMart (B)
By: Srikant M. Datar and Caitlin N. Bowler
Supplements the (A) case. In this case, Wehunt and Morse are concerned about the logistic regression model overfitting to the training data, so they explore two methods for reducing the sensitivity of the model to the data by regularizing the coefficients of the... View Details
Keywords: Data Science; Analytics and Data Science; Analysis; Customers; Household; Forecasting and Prediction
Datar, Srikant M., and Caitlin N. Bowler. "Predicting Purchasing Behavior at PriceMart (B)." Harvard Business School Supplement 119-026, August 2018. (Revised September 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
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.
- 01 Apr 2011
- News
My First HBS Class
(On Piskorski, see also here.) The day’s case, written by Jeff Bussgang (MBA ’95C) and Professors Piskorski and Tom Eisenmann, was about foursquare, a location-based social networking game. (For Bussgang’s blog about teaching his case, see here.) Since I was unfamiliar... View Details
- 01 Sep 2016
- News
Research Brief: Cultivating Creativity through Competition
given to their competitors. Using analytical software that evaluates visual similarities between designs, Gross compared each submission with prior entries by the same designer, and related the similarity to the number and quality of... View Details
Keywords: Erin Peterson
- 2024
- Working Paper
Scaling Core Earnings Measurement with Large Language Models
By: Matthew Shaffer and Charles CY Wang
We study the application of large language models (LLMs) to the estimation of core earnings, i.e., a firm's persistent profitability from its core business activities. This construct is central to investors' assessments of economic performance and valuations. However,... View Details
Keywords: Large Language Models; AI and Machine Learning; Accounting; Profit; Corporate Disclosure; Analytics and Data Science; Measurement and Metrics
Shaffer, Matthew, and Charles CY Wang. "Scaling Core Earnings Measurement with Large Language Models." Working Paper, November 2024.
- April–May 2024
- Article
Gone with the Big Data: Institutional Lender Demand for Private Information
By: Jung Koo Kang
I explore whether big-data sources can crowd out the value of private information acquired through lending relationships. Institutional lenders have been shown to exploit their access to borrowers’ private information by trading on it in financial markets. As a shock... View Details
Keywords: Analytics and Data Science; Borrowing and Debt; Financial Markets; Value; Knowledge Dissemination; Financing and Loans
Kang, Jung Koo. "Gone with the Big Data: Institutional Lender Demand for Private Information." Art. 101663. Journal of Accounting & Economics 77, nos. 2-3 (April–May 2024).
- August 2013 (Revised August 2014)
- Case
Catalina In the Digital Age
By: Robert J. Dolan and Uma R. Karmarkar
Catalina in the Digital Age considers how a company with a dominant market position should evolve its established product lines given the rise of novel digital technologies. Since its founding in 1983, Catalina had enjoyed a distinct position in the world of consumer... View Details
Keywords: Big Data; Digital Technologies; Marketing; Customer Relationship Management; Consumer Behavior; Analytics and Data Science
Dolan, Robert J., and Uma R. Karmarkar. "Catalina In the Digital Age." Harvard Business School Case 514-021, August 2013. (Revised August 2014.)
- February 2001 (Revised April 2001)
- Background Note
Note on Valuing Private Businesses
By: Dwight B. Crane and Indra Reinbergs
This case provides a brief overview of valuation for owners of closely held companies. The focus is on a comparable transactions approach, although rules of thumb and discounted cash flow are mentioned. Earnings multiples and their drivers are discussed. It uses... View Details
Keywords: Earnings Management; Finance; Cash Flow; Analytics and Data Science; Private Ownership; Valuation
Crane, Dwight B., and Indra Reinbergs. "Note on Valuing Private Businesses." Harvard Business School Background Note 201-060, February 2001. (Revised April 2001.)
- Profile
Blake Landro
dates. In effect, Nenlu sells privacy and community; not just tea.” Today, Blake seeks opportunities for combining his creative side – as an actor and performer --with his analytical skills. “Helping direct the HBS Show is interesting... View Details
- Web
2+2 Program | MBA
innovative thinkers who have demonstrated leadership and analytical skills and want to develop their knowledge and passion to make a difference in the world. After being admitted through 2+2, students spend a minimum of two years (maximum... View Details
- 01 Mar 2015
- News
Clubs Hopping
computing changes the way people use data to make decisions. “We’re seeing more of analytics and big data as a means not just to support the decision a person wants to make, but also as a way to provide insights, questions, and ideas you... View Details
- Fast Answer
Affordable housing resources
href="http://www.library.hbs.edu/guides/realestate.html" title="Real Estate Research Guide">Real Estate Research Guide Moody’s Analytics CRE Associations & Institutes Trade, industry, and professional associations are... View Details
- Profile
Vivek Garg
development, their pricing, and how they might fit under government coverage," Vivek says. After graduation, Vivek hopes to apply similar analytical approaches to clinical care. "Whether it's in a hospital or physician group... View Details
- Web
Real Estate Investing - Course Catalog
is a multidisciplinary industry that requires strong analytical rigor as wells as broad strategic thinking. Educational Objectives Students will learn about the interplay of capital structures, building characteristics, stakeholders, and... View Details