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Show Results For
- All HBS Web
(297)
- News (9)
- Research (259)
- Events (1)
- Multimedia (1)
- Faculty Publications (181)
- May 18, 2012
- Article
Randomized Government Safety Inspections Reduce Worker Injuries with No Detectable Job Loss
By: David I Levine, Michael W. Toffel and Matthew S. Johnson
Controversy surrounds occupational health and safety regulators, with some observers claiming that workplace regulations damage firms' competitiveness and destroy jobs and others arguing that they make workplaces safer at little cost to employers and employees. We... View Details
Keywords: Regulation; Occupational Safety; Evaluation; Regression; Matching; Difference In Differences; Safety; Health; Working Conditions; Governing Rules, Regulations, and Reforms; Competitive Advantage; Performance; Manufacturing Industry; California
Levine, David I., Michael W. Toffel, and Matthew S. Johnson. "Randomized Government Safety Inspections Reduce Worker Injuries with No Detectable Job Loss." Science 336, no. 6083 (May 18, 2012): 907–911. (Online supplement (appendix). Featured in an article by the head of US OSHA, and in U.S. News & World Report and many other news outlets. Basis of U.S. Congressional testimony on promoting safe workplaces.)
- 2018
- Working Paper
Expressive Voting and Its Cost: Evidence from Runoffs with Two or Three Candidates
By: Vincent Pons and Clémence Tricaud
In French parliamentary and local elections, candidates ranked first and second in the first round automatically qualify for the second round, while a third candidate qualifies only when selected by more than 12.5 percent of registered citizens. Using a fuzzy RDD... View Details
Keywords: Expressive Voting; Strategic Voting; Regression Discontinuity Design; French Elections; Voting; Political Elections; Behavior; France
Pons, Vincent, and Clémence Tricaud. "Expressive Voting and Its Cost: Evidence from Runoffs with Two or Three Candidates." Harvard Business School Working Paper, No. 17-107, May 2017. (Revised February 2018. Revise and resubmit requested, Econometrica.)
- May 2023
- Case
CMA CGM: Reducing the Carbon Footprint of Container Shipping
By: Willy C. Shih and Emilie Billaud
Marine transport is the most cost-effective way to move large volumes over long distances, and container shipping is the backbone of international trade in goods. Yet shipping contributed 3% of worldwide greenhouse gas emissions, and the deep-sea segment, which... View Details
Keywords: Container Shipping; Logistic Regression; Trade Links; Decarbonization; Environmental Strategies; Environmental Impact; Globalization; Trade; Environmental Regulation; Logistics; Supply Chain; Governance Compliance; Shipping Industry; European Union; Asia; North America
Shih, Willy C., and Emilie Billaud. "CMA CGM: Reducing the Carbon Footprint of Container Shipping." Harvard Business School Case 623-006, May 2023.
- October 2014 (Revised August 2018)
- Case
Caesars Entertainment
By: Janice H. Hammond and Aldo Sesia
This case describes the introduction of a regression analysis model for forecasting guest arrivals to Caesars Palace hotel in Las Vegas, Nevada. The company will use the forecast to staff the front desk in the hotel. The staff is unionized and the company has little... View Details
Keywords: Forecasting; Staffing; Gaming; Gaming Industry; Hotel Industry; Decision Making; Forecasting and Prediction; Human Resources; Selection and Staffing; Entertainment; Games, Gaming, and Gambling; Operations; Service Delivery; Service Operations; Accommodations Industry; Travel Industry; Tourism Industry; Food and Beverage Industry; Las Vegas
Hammond, Janice H., and Aldo Sesia. "Caesars Entertainment." Harvard Business School Case 615-031, October 2014. (Revised August 2018.)
- December 1970 (Revised September 2006)
- Case
Harmon Foods, Inc.
Prediction and shipment has been a scheduling and budgetary problem. Multiple regression is suggested as a solution. Evaluation of regression coefficients leads to better understanding of trend, seasonality, and promotion effectiveness. View Details
Keywords: Demand and Consumers; Production; Forecasting and Prediction; Budgets and Budgeting; Manufacturing Industry; Food and Beverage Industry
Whiston, William B. "Harmon Foods, Inc." Harvard Business School Case 171-248, December 1970. (Revised September 2006.)
- October 1992 (Revised September 1993)
- Case
Nopane Advertising Strategy
By: David E. Bell
Nopane is a proprietary drug that sells in much of the United States. It faces substantial competition. The brand manager is undertaking an experiment to determine whether ad copy should be emotional-based or rational-based. The data and associated regression results... View Details
Keywords: Competition; Intellectual Property; Advertising; Health Care and Treatment; Brands and Branding; Product Marketing; Pharmaceutical Industry; United States
Bell, David E. "Nopane Advertising Strategy." Harvard Business School Case 893-005, October 1992. (Revised September 1993.)
- 11 Jun 2013
- Working Paper Summaries
Measurement Errors of Expected Returns Proxies and the Implied Cost of Capital
Keywords: by Charles C.Y. Wang
- 2024
- Working Paper
Anytime-Valid Inference in Linear Models and Regression-Adjusted Causal Inference
By: Michael Lindon, Dae Woong Ham, Martin Tingley and Iavor I. Bojinov
Linear regression adjustment is commonly used to analyze randomized controlled experiments due to its efficiency and robustness against model misspecification. Current testing and interval estimation procedures leverage the asymptotic distribution of such estimators to... View Details
Lindon, Michael, Dae Woong Ham, Martin Tingley, and Iavor I. Bojinov. "Anytime-Valid Inference in Linear Models and Regression-Adjusted Causal Inference." Harvard Business School Working Paper, No. 24-060, March 2024.
- November 2016
- Article
Corporate Sustainability: First Evidence on Materiality
By: Mozaffar Khan, George Serafeim and Aaron Yoon
Using newly available materiality classifications of sustainability topics, we develop a novel dataset by hand-mapping sustainability investments classified as material for each industry into firm-specific sustainability ratings. This allows us to present new evidence... View Details
Keywords: Sustainability; Investments; Corporate Social Responsibility; Accounting; Corporate Reporting; Regulation; Corporate Social Responsibility and Impact; Integrated Corporate Reporting; Investment; Corporate Governance
Khan, Mozaffar, George Serafeim, and Aaron Yoon. "Corporate Sustainability: First Evidence on Materiality." Accounting Review 91, no. 6 (November 2016): 1697–1724.
- November 1990
- Case
Chemplan Corp.: Paint-Rite Division
By: Paul A. Vatter
An exercise with data that allows a discussion of regression analysis as a tool for forecasting and understanding structure. View Details
Vatter, Paul A. "Chemplan Corp.: Paint-Rite Division." Harvard Business School Case 191-090, November 1990.
- October 2002
- Exercise
Luster Paint Corporation, The
Describes a marketing director about to launch a new process for demand forecasting. Provides data that allow students to do a multivariable regression analysis. A rewritten version of an earlier case. View Details
Keywords: Forecasting and Prediction; Analytics and Data Science; Management Practices and Processes; Demand and Consumers; Mathematical Methods
Hammond, Janice H. "Luster Paint Corporation, The." Harvard Business School Exercise 603-078, October 2002.
- February 2024
- Article
Fifty Shades of QE: Robust Evidence
By: Brian Fabo, Marina Jančoková, Elisabeth Kempf and Ľuboš Pástor
Fabo et al. (2021) show that papers written by central bank researchers find quantitative easing (QE) to be more effective than papers written by academics. Weale and Wieladek (2022) show that a subset of these results lose statistical significance when OLS regressions... View Details
Keywords: Quantitative Easing; Research; Mathematical Methods; Perception; Banks and Banking; Body of Literature
Fabo, Brian, Marina Jančoková, Elisabeth Kempf, and Ľuboš Pástor. "Fifty Shades of QE: Robust Evidence." Art. 107065. Journal of Banking & Finance 159 (February 2024).
- 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.)
- Research Summary
Explaining Returns With Cash-Flow Proxies (with Tuomo Vuolteenaho)
Stock returns are correlated with contemporaneous earnings growth, dividend growth, future real activity, and other cash-flow proxies. The correlation between cash-flow proxies and stock returns may arise from association of cash-flow proxies with one-period expected... View Details
- July 1985 (Revised March 1994)
- Background Note
Exposure and Hedging
By: David E. Bell
Describes the concept of exposure; the dependence of a goal on an uncertain external event. Describes in detail how hedges may be constructed to eliminate exposure, including the algebra of cross-hedging and hedge ratios. The relevance of regression analysis is... View Details
Bell, David E. "Exposure and Hedging." Harvard Business School Background Note 186-036, July 1985. (Revised March 1994.)
- May 2014
- Article
Bias in Reduced-form Estimates of Pass-through
By: Alexander MacKay, Nathan H. Miller, Marc Remer and Gloria Sheu
We show that, in general, consistent estimates of cost pass-through are not obtained from reduced-form regressions of price on cost. We derive a formal approximation for the bias that arises even under standard orthogonality conditions. We provide guidance on the... View Details
MacKay, Alexander, Nathan H. Miller, Marc Remer, and Gloria Sheu. "Bias in Reduced-form Estimates of Pass-through." Economics Letters 123, no. 2 (May 2014): 200–202.
- October 1992
- Case
Charles River Jazz Festival
Charles River Jazz Festival must decide whether to press a compact disk (CD) of Friday's jazz performance for sale on Saturday and Sunday. The idea to press CDs is novel, so there is considerable uncertainty about how receptive customers will be. The festival must... View Details
Wu, George. "Charles River Jazz Festival." Harvard Business School Case 893-004, October 1992.
- 20 Oct 2011
- News
Herman Cain's Retirement Proposal
- July 2021
- Article
Multinationality and Capital Structure Dynamics: A Corporate Governance Explanation
By: Daniel Gyimah, Nana Abena Kwansa, Anthony K. Kyiu and Anywhere Sikochi
This paper examines the impact of corporate governance on capital structure dynamics. Using ordinary least squares regressions on 17,496 firm-year observations for 2,294 U.S. multinational companies (MNCs) over the period 1990–2018, we find that MNCs with strong... View Details
Keywords: Multinationality; Speed Of Adjustment; Corporate Governance; Multinational Firms and Management; Capital Structure
Gyimah, Daniel, Nana Abena Kwansa, Anthony K. Kyiu, and Anywhere Sikochi. "Multinationality and Capital Structure Dynamics: A Corporate Governance Explanation." Art. 101758. International Review of Financial Analysis 76 (July 2021).
- 2022
- Working Paper
Machine Learning Models for Prediction of Scope 3 Carbon Emissions
By: George Serafeim and Gladys Vélez Caicedo
For most organizations, the vast amount of carbon emissions occur in their supply chain and in the post-sale processing, usage, and end of life treatment of a product, collectively labelled scope 3 emissions. In this paper, we train machine learning algorithms on 15... View Details
Keywords: Carbon Emissions; Climate Change; Environment; Carbon Accounting; Machine Learning; Artificial Intelligence; Digital; Data Science; Environmental Sustainability; Environmental Management; Environmental Accounting
Serafeim, George, and Gladys Vélez Caicedo. "Machine Learning Models for Prediction of Scope 3 Carbon Emissions." Harvard Business School Working Paper, No. 22-080, June 2022.