Generalized Linear Model - Publications - Faculty & Research - Harvard Business School

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March 2020
Case

Forbidden City: Launching a Craft Beer in China

By: Christopher A. Bartlett and Carole Carlson

This case describes a difficult choice faced by Victor Wang, Managing Director of Singapore-based Eurasian Brewing Company (EBC), concerning the competing product launch plans of Le Jie, Vice President of EBC's China and East Asian operations, and Vivian Chin, EBC's... View Details

Keywords: Subsidiary Management; Craft Brewing; Strategy; Decision Making; Organizational Structure; Business Model; Growth and Development Strategy; Entrepreneurship; Management Style; Food and Beverage Industry; China; East Asia

No Taxation without Information

Tax evasion generates billions of dollars of losses in government revenue and creates large distortions, especially in developing countries. A growing, mostly theoretical literature argues that information flows are central to understanding effective taxation. This... View Details

Article

Accuracy First: Selecting a Differential Privacy Level for Accuracy-Constrained ERM

By: Katrina Ligett, Seth Neel, Aaron Leon Roth, Bo Waggoner and Steven Wu

Traditional approaches to differential privacy assume a fixed privacy requirement ϵ for a computation, and attempt to maximize the accuracy of the computation subject to the privacy constraint. As differential privacy is increasingly deployed in practical settings, it... View Details

Keywords: Differential Privacy; Empirical Risk Minimization; Accuracy First

March–April 2023
Article

Market Segmentation Trees

By: Ali Aouad, Adam Elmachtoub, Kris J. Ferreira and Ryan McNellis

Problem definition: We seek to provide an interpretable framework for segmenting users in a population for personalized decision making. Methodology/results: We propose a general methodology, market segmentation trees (MSTs), for learning market... View Details

Keywords: Decision Trees; Computational Advertising; Market Segmentation; Analytics and Data Science; E-commerce; Consumer Behavior; Marketplace Matching; Marketing Channels; Digital Marketing

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Forthcoming
Article

Comparing the Value of Perceived Human Versus AI-Generated Empathy

By: Matan Rubin, Joanna Z. Li, Federico Zimmerman, Desmond C. Ong, Amit Goldenberg and Anat Perry

Artificial intelligence (AI) and specifically large language models demonstrate remarkable social–emotional abilities, which may improve human–AI interactions and AI’s emotional support capabilities. However, it remains unclear whether empathy, encompassing... View Details

Keywords: AI and Machine Learning; Emotions; Perception; Interpersonal Communication

February 2021
Case

Digital Manufacturing at Amgen

By: Shane Greenstein, Kyle R. Myers and Sarah Mehta

This case discusses efforts made by biotechnology (biotech) company Amgen to introduce digital technologies into its manufacturing processes. Doing so is complicated by the fact that the process for manufacturing biologics—or therapeutics made from living cells—is... View Details

2010
Working Paper

Do Bonuses Enhance Sales Productivity? A Dynamic Structural Analysis of Bonus-Based Compensation Plans

By: Doug J. Chung, Thomas J. Steenburgh and K. Sudhir

We estimate a dynamic structural model of sales force response to a bonus based compensation plan. The paper has two main methodological innovations: First, we implement empirically the method proposed by Arcidiacono and Miller (2010) to accommodate unobserved latent... View Details

Keywords: Compensation and Benefits; Performance Productivity; Mathematical Methods; Salesforce Management; Motivation and Incentives

Comparing the Value of Perceived Human versus AI-generated Empathy

Artificial intelligence (AI) and specifically large language models demonstrate remarkable social–emotional abilities, which may improve human–AI interactions and AI’s emotional support capabilities. However, it remains unclear whether empathy, encompassing... View Details

September – October 2011
Article

The Rise and Consequences of Corporate Sustainability Reporting

By: Ioannis Ioannou and George Serafeim

For many decades the cornerstone of corporate reporting has been financial information that is presented in a company's annual, semi-annual, and quarterly reports. These comprehensive financial reports—required by law for public companies in most countries... View Details

Keywords: Sustainability; ESG Reporting; Governing Rules, Regulations, and Reforms; Annual Reports; Operations; Strategy; Business and Shareholder Relations; Business and Stakeholder Relations; Performance; Business Model; Corporate Social Responsibility and Impact; Corporate Disclosure

Article

Best Practices for Differentiated Products Demand Estimation with PyBLP

Differentiated products demand systems are a workhorse for understanding the price effects of mergers, the value of new goods, and the contribution of products to seller networks. Berry, Levinsohn, and Pakes (1995) provide a flexible random coefficients logit model... View Details

September 2007
Journal Article

Refugee Camp Economies

By: Eric D. Werker

This paper describes the economy of a refugee camp. Key distortions to the economy of Kyangwali Refugee Settlement in Uganda are noted and the findings are used to construct a generic model of a refugee camp economy. Camp economies are influenced by host country... View Details

Keywords: Refugees; Economy; Policy; Civil Society or Community; Human Needs; Societal Protocols; Uganda

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2011
Article

Incentive Compensation and the Likelihood of Termination: Theory and Evidence from Real Estate Organizations

By: Christopher Parsons, G. Hallman and J. Hartzell

We analyze two managerial compensation incentive devices: the threat of termination and pay for performance. We first develop a simple model predicting that these devices are substitutes: when termination incentives are low, optimal contracts provide stronger... View Details

Keywords: Motivation and Incentives; Resignation and Termination; Compensation and Benefits; Real Estate Industry

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2013
Working Paper

Return Predictability in the Treasury Market: Real Rates, Inflation, and Liquidity

By: Carolin E. Pflueger and Luis M. Viceira

Estimating the liquidity differential between inflation-indexed and nominal bond yields, we separately test for time-varying real rate risk premia, inflation risk premia, and liquidity premia in U.S. and U.K. bond markets. We find strong, model independent evidence... View Details

Keywords: Expectations Hypothesis; Term Structure; Real Interest Rate Risk; Inflation Risk; Inflation-Indexed Bonds; Financial Crisis; Inflation and Deflation; Financial Liquidity; Bonds; Investment Return; Risk and Uncertainty; United Kingdom; United States

April 2002
Article

Limited Arbitrage in Mergers and Acquisitions

By: Malcolm Baker and Serkan Savasoglu

A diversified portfolio of risk arbitrage positions produces an abnormal return of 0.6-0.9% per month over the period from 1981 to 1996. We trace these profits to practical limits on risk arbitrage. In our model of risk arbitrage, arbitrageurs' risk-bearing capacity... View Details

Keywords: Arbitrage; Market Efficiency; Mergers and Acquisitions; Profit; Risk and Uncertainty; Corporate Strategy; Capital; Banking Industry

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October 2016 (Revised February 2017)
Teaching Note

Alvogen

By: Daniel Isenberg, William R. Kerr and Alexis Brownell

Alvogen is an Icelandic pharmaceutical company that makes and sells generic drugs. Founder and CEO Robert Wessman is deciding whether to take on private equity investors willing to buy out all shareholders, merge with a large and publicly-traded US pharmaceutical... View Details

Keywords: Biotechnology; Globalization; Entrepreneurship; Biotechnology Industry

April 2002
Article

Internal Capital Markets and Firm-Level Compensation Incentives for Division Managers

By: Julie Wulf

Do multidivisional firms structure compensation contracts for division managers to mitigate incentive problems in their internal capital markets? I find evidence that compensation and investment incentives are substitutes: firms providing a stronger link to firm... View Details

Keywords: Capital Markets; Executive Compensation; Capital Budgeting; Motivation and Incentives; Profit; Decisions; Resource Allocation; Performance; Investment; Contracts

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2011
Casebook

Cases about Redefining Global Strategy

By: Pankaj Ghemawat and Jordan I. Siegel

In "Cases about Redefining Global Strategy," Pankaj Ghemawat and Jordan Siegel have assembled 26 full-length case studies as a resource for active learning about the nature of cross-border differences and strategies. As technology innovation globalizes markets and... View Details

Keywords: Global Strategy; International Business; Cases; Strategy; Globalization

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

Keywords: AI and Machine Learning; Analytics and Data Science; Mathematical Methods

Article

A Prescriptive Analytics Framework for Optimal Policy Deployment Using Heterogeneous Treatment Effects

By: Edward McFowland III, Sandeep Gangarapu, Ravi Bapna and Tianshu Sun

We define a prescriptive analytics framework that addresses the needs of a constrained decision-maker facing, ex ante, unknown costs and benefits of multiple policy levers. The framework is general in nature and can be deployed in any utility maximizing context, public... View Details

Keywords: Prescriptive Analytics; Heterogeneous Treatment Effects; Optimization; Observed Rank Utility Condition (OUR); Between-treatment Heterogeneity; Machine Learning; Decision Making; Analysis; Mathematical Methods

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A Prescriptive Analytics Framework for Optimal Policy Deployment Using Heterogeneous Treatment Effects

We define a prescriptive analytics framework that addresses the needs of a constrained decision-maker facing, ex ante, unknown costs and benefits of multiple policy levers. The framework is general in nature and can be deployed in any utility maximizing... View Details

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