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- 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.)
- February 1991 (Revised February 1993)
- Background Note
Regression Analysis
By: David E. Bell
Provides a relatively simple introduction to multivariate regression analysis. View Details
Keywords: Mathematical Methods
Bell, David E. "Regression Analysis." Harvard Business School Background Note 191-117, February 1991. (Revised February 1993.)
- November 1988 (Revised June 1989)
- Case
Introduction to Regression Analysis with Lotus 1-2-3 and Regress
By: David E. Bell
Bell, David E. "Introduction to Regression Analysis with Lotus 1-2-3 and Regress." Harvard Business School Case 189-110, November 1988. (Revised June 1989.)
- 1987
- Working Paper
Tests of Excess Forecast Volatility in the Foreign Exchange and Stock Markets
By: K. A. Froot
Simple regression tests that have power against the alternatives that asset prices and expected future asset returns are excessively volatile are developed and performed for the foreign exchange and stock markets. These tests have a number of advantages over... 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.)
- July 1985 (Revised May 1988)
- Background Note
Multiplicative Regression Models
Schleifer, Arthur, Jr. "Multiplicative Regression Models." Harvard Business School Background Note 186-031, July 1985. (Revised May 1988.)
- January 1978
- Background Note
Regression and Forecasting Using the AQD Package
Schleifer, Arthur, Jr. "Regression and Forecasting Using the AQD Package." Harvard Business School Background Note 178-095, January 1978.
- April 1966
- Article
A Two-Stage Forecasting Model: Exponential Smoothing and Multiple Regression
By: D. B. Crane and James R. Crotty
Keywords: Mathematical Methods
Crane, D. B., and James R. Crotty. "A Two-Stage Forecasting Model: Exponential Smoothing and Multiple Regression." Management Science 13, no. 8 (April 1966).
- Teaching Interest
Decision Making Under Uncertainty
By: David E. Bell
Many of the decisions we face are made complicated by having uncertain consequences: how should I set my inventory when I don’t know what demand will be, should I refinance my mortgage when rates might go lower, how big a bet shall I make in a new business, and so... View Details
- Research Summary
Deregulation, Misallocation, and Size: Evidence from India
By: Laura Alfaro
This paper examines the impact of the deregulation of compulsory industrial licensing in India on firm size dynamics and reallocation of resources within industries. Following deregulation, resource misallocation declines, and the left-hand tail of the firm size... View Details
- Forthcoming
- Article
Slowly Varying Regression Under Sparsity
By: Dimitris Bertsimas, Vassilis Digalakis Jr, Michael Lingzhi Li and Omar Skali Lami
We consider the problem of parameter estimation in slowly varying regression models with sparsity constraints. We formulate the problem as a mixed integer optimization problem and demonstrate that it can be reformulated exactly as a binary convex optimization problem... View Details
Bertsimas, Dimitris, Vassilis Digalakis Jr, Michael Lingzhi Li, and Omar Skali Lami. "Slowly Varying Regression Under Sparsity." Operations Research (forthcoming). (Pre-published online March 27, 2024.)
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