Structural Modeling - Publications - Faculty & Research - Harvard Business School

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Research Summary

Quality in Service Operations

Rogelio Oliva is interested in understanding how the operational characteristics of service delivery processes interact with human resource and marketing policies to determine the long term productivity, quality, and profitability of a service operation. Specifically,... View Details

October 2023
Article

Product Variety, the Cost of Living, and Welfare Across Countries

By: Alberto Cavallo, Robert C. Feenstra and Robert Inklaar

We use the structure of the Melitz (2003) model to compute the cost of living and welfare across 47 countries, and compare these to conventional measures of prices and real consumption from the International Comparisons Project (ICP). The cost of living is inferred... View Details

Keywords: Macroeconomics; Trade

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2022
Working Paper

Intertemporal Altruism

By: Felix Chopra, Armin Falk and Thomas Graeber

Most prosocial decisions involve intertemporal tradeoffs. Yet, the timing of prosocial utility flows is ambiguous and bypassed by most models of other-regarding preferences. We study the behavioral implications of the time structure of prosocial utility,... View Details

Keywords: Altruism; Donation; Intertemporal Decision-making; Time Inconsistency

2021
Working Paper

Impact Investing: A Theory of Financing Social Enterprises

By: Benjamin N. Roth

I present a model of financing social enterprises to delineate the role of impact investors relative to “pure” philanthropists. I characterize the optimal scale and structure of a social enterprise when financed by grants, and when financed by investments. Impact... View Details

Keywords: Impact Investing; Social Entrepreneurship; Finance; Investment; Mathematical Methods

13 Sep 2018
HBS Seminar

Ashley Swanson, Wharton, University of Pennsylvania

18 Nov 2016
Conference Presentation

Rawlsian Fairness for Machine Learning

By: Matthew Joseph, Michael J. Kearns, Jamie Morgenstern, Seth Neel and Aaron Leon Roth

Motivated by concerns that automated decision-making procedures can unintentionally lead to discriminatory behavior, we study a technical definition of fairness modeled after John Rawls' notion of "fair equality of opportunity". In the context of a simple model of... View Details

Keywords: Machine Learning; Algorithms; Fairness; Decision Making; Mathematical Methods

Dennis Campbell

Dennis W. Campbell is currently the Dwight P. Robinson Jr. Professor of Business Administration at Harvard Business School. His research and teaching activities focus broadly on how management control systems can be designed to balance short-term strategy execution... View Details

Keywords: financial services; service industry; hotels ＆ motels; consumer products; restaurant; manufacturing; professional services

Research Summary

Overview

By: Shunyuan Zhang

Professor Zhang uses machine learning to address marketing problems that have arisen within the nascent sharing economy. She conducts rigorous analyses of structured and unstructured data generated by new sharing economy platforms to address important issues emerging... View Details

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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2023
Other Article

The Harvard USPTO Patent Dataset: A Large-Scale, Well-Structured, and Multi-Purpose Corpus of Patent Applications

By: Mirac Suzgun, Luke Melas-Kyriazi, Suproteem K. Sarkar, Scott Duke Kominers and Stuart Shieber

Innovation is a major driver of economic and social development, and information about many kinds of innovation is embedded in semi-structured data from patents and patent applications. Though the impact and novelty of innovations expressed in patent data are difficult... View Details

Keywords: USPTO; Natural Language Processing; Classification; Summarization; Patent Novelty; Patent Trolls; Patent Enforceability; Patents; Innovation and Invention; Intellectual Property; AI and Machine Learning; Analytics and Data Science

December 2024
Article

Are Bankruptcy Professional Fees Excessively High?

By: Samuel Antill

Chapter 7 is the most popular bankruptcy system for U.S. firms and individuals. Chapter 7 professional fees are substantial. Theoretically, high fees might be an unavoidable cost of incentivizing professionals. I test this empirically. I study trustees, the most... View Details

Keywords: Insolvency and Bankruptcy; Motivation and Incentives; Policy

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2021
Working Paper

Diagnosing Quality: Learning, Amenities, and the Demand for Health Care

By: Achyuta Adhvaryu, Emilio Gutierrez, Anant Nyshadham and Jorge Tamayo

We study the role of amenities in increasing demand for underutilized healthcare services. We evaluate the offer of a high-amenity diagnostic consultation for cataracts with a randomized price and find that a lower price for the high-amenity consultation increases... View Details

Keywords: Health Care Demand; Amenities; Health Care Quality; Cataracts; Surgery; Health Care and Treatment; Demand and Consumers; Quality; Learning; Mexico

April 2019 (Revised July 2019)
Case

Aperture Investors

By: Krishna G. Palepu, George Serafeim and David Lane

Aperture Investors is a startup investment firm that seeks to disrupt the asset management industry through competitive differentiation by charging investors primarily when its portfolio managers outperform the marketplace. Headed by Wall Street veteran Peter Kraus and... View Details

Keywords: Business Model; Talent and Talent Management; Investment; Investment Funds; Asset Management; Recruitment; Selection and Staffing; Marketing Channels; Emerging Markets; Partners and Partnerships; Motivation and Incentives; Financial Services Industry

June 2010 (Revised August 2011)
Case

Tennant Company: Innovating Within and Beyond the Core

By: Lynda M. Applegate, Toby E. Stuart and James Weber

Tennant, a leading producer of floor cleaning equipment, must determine the business model to use for its new chemical-free cleaning technology. In 2005, Tennant Company had developed an innovative, environmentally friendly cleaning technology that could potentially... View Details

Keywords: Business Model; Business Startups; Corporate Entrepreneurship; Disruptive Innovation; Organizational Structure; Business Strategy; Value Creation; Consumer Products Industry; Industrial Products Industry

28 Jan 2011
Working Paper Summaries

Agglomerative Forces and Cluster Shapes

Keywords: by William R. Kerr & Scott Duke Kominers; Technology

August 2009 (Revised July 2010)
Case

Jones Lang LaSalle: Reorganizing around the Customer (2005)

By: Ranjay Gulati and Lucia Menzer Marshall

Peter Roberts, CEO of Jones, Lang, LaSalle (JLL) Americas division, has been charged with expanding the company's presence in its core geographic markets while simultaneously growing its corporate account business. Roberts and his task force have narrowed their options... View Details

Keywords: Decision Choices and Conditions; Global Strategy; Growth and Development Strategy; Organizational Structure; Business Strategy; Real Estate Industry

2021
Article

Fair Algorithms for Infinite and Contextual Bandits

By: Matthew Joseph, Michael J Kearns, Jamie Morgenstern, Seth Neel and Aaron Leon Roth

We study fairness in linear bandit problems. Starting from the notion of meritocratic fairness introduced in Joseph et al. [2016], we carry out a more refined analysis of a more general problem, achieving better performance guarantees with fewer modelling assumptions... View Details

Keywords: Algorithms; Bandit Problems; Fairness; Mathematical Methods

2018
Working Paper

Corporate Refinancing, Covenants, and the Agency Cost of Debt

By: Daniel Green

How valuable are restrictive debt covenants in reducing the agency costs of debt? I exploit the revealed preference decision to refinance fixed-coupon bonds, which weighs observable interest rate savings against the unobservable costs of a change in restrictive... View Details

Keywords: Covenants; Refinancing; Corporate Bonds; Agency Costs; Debt Policy; Borrowing and Debt; Bonds; Interest Rates

May–June 2018
Article

Data Uncertainty in Markov Chains: Application to Cost-Effectiveness Analyses of Medical Innovations

By: Joel Goh, Mohsen Bayati, Stefanos A. Zenios, Sundeep Singh and David Moore

Cost-effectiveness studies of medical innovations often suffer from data inadequacy. When Markov chains are used as a modeling framework for such studies, this data inadequacy can manifest itself as imprecision in the elements of the transition matrix. In this paper,... View Details

Keywords: Markov Chains; Cost Effectiveness; Medical Innovations; Colorectal Cancer; Health Care and Treatment; Cost vs Benefits; Innovation and Invention; Mathematical Methods; Health Industry

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2020
Working Paper

Sticky Capital Controls

By: Miguel Acosta-Henao, Laura Alfaro and Andres Fernandez

There is much ongoing debate on the merits of capital controls as effective policy instruments. The differing perspectives are due in part to a lack of empirical studies that look at the intensive margin of controls, which in turn has prevented a quantitative... View Details

Keywords: Capital Controls; Macroprudential Policies; Stickiness; Intensive; (S, S) Costs; Capital; Management; Macroeconomics

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