Publications

1970
Dissertation

Analytical Optimal Control Theory as Applied to Stochastic and Non-Stochastic Economics

By: Robert C. Merton

Keywords: Mathematical Methods; Economics

Research Summary

Optimal Decision Making Under Uncertainty

Inventory control problems in supply chains. In this stream of theoretical research, Professor Goh has investigated how inventory should be optimally managed in supply chains. Specifically, he has studied how supply chains can make decisions to operate... View Details

Article

The Relationship Between Workplace Stressors and Mortality and Health Costs in the United States

By: Joel Goh, Jeffrey Pfeffer and Stefanos A. Zenios

Even though epidemiological evidence links specific workplace stressors to health outcomes, the aggregate contribution of these factors to overall mortality and health spending in the United States is not known. In this paper, we build a model to estimate the excess... View Details

Keywords: Occupational Health; Health Costs; Mortality; Applied Optimization; Health

07 Sep 2006
Working Paper Summaries

Optimal Value and Growth Tilts in Long-Horizon Portfolios

Keywords: by Jakub W. Jurek & Luis M. Viceira

Article

Optimal Value and Growth Tilts in Long-Horizon Portfolios

By: Jakub W. Jurek and Luis M. Viceira

We develop an analytical solution to the dynamic portfolio choice problem of an investor with power utility defined over wealth at a finite horizon, who faces a time-varying investment opportunity set, parameterized using a flexible vector autoregression. We apply this... View Details

Keywords: Decision Choices and Conditions; Private Equity; Investment; Investment Portfolio; Asset Pricing; Value

15 Dec 2020
Working Paper Summaries

Designing, Not Checking, for Policy Robustness: An Example with Optimal Taxation

Keywords: by Benjami Lockwood, Afras Y. Sial, and Matthew C. Weinzierl

Research Summary

Overview

Professor Goh’s primary research interest is applying mathematical models to real-world problems in health care in order to inform, improve, and enhance medical decision making and health policy. His recent work in this domain focuses on developing new methods for... View Details

Keywords: Uncertainty; Optimization; Inventory Management; Health; Decision Making; Supply Chain

2020
Working Paper

Targeting for Long-Term Outcomes

By: Jeremy Yang, Dean Eckles, Paramveer Dhillon and Sinan Aral

Decision makers often want to target interventions so as to maximize an outcome that is observed only in the long term. This typically requires delaying decisions until the outcome is observed or relying on simple short-term proxies for the long-term outcome. Here we... View Details

Keywords: Targeted Marketing; Optimization; Churn Management; Marketing; Customer Relationship Management; Policy; Learning; Outcome or Result

June 2020
Article

Understanding Different Approaches to Benefit-Based Taxation

By: Robert Scherf and Matthew C. Weinzierl

The normative principle of benefit-based taxation has exerted substantial influence on many areas of public finance, but it has been largely set aside in the modern theoretical approach to optimal income taxation, where welfarist objectives dominate. A prerequisite for... View Details

Keywords: Benefit-based Taxation; Public Goods; Lindahl; Optimal Taxation; Taxation

2019
Article

Time-Driven Activity-Based Cost Analysis for Outpatient Anticoagulation Therapy: Direct Costs in a Primary Care Setting with Optimal Performance

By: Robert S. Kaplan, Rohit A. Bobade, Richard A. Helmers, Thomas M. Jaeger, Laura J. Odell and Derek A. Haas

Objectives: To determine how overall cost of anticoagulation therapy for warfarin compares with that of Novel Oral Anticoagulants (NOACs). Also, to demonstrate a scientific, comprehensive, and an analytical approach to estimate direct costs involved in monitoring and... View Details

Keywords: Time-Driven Activity-Based Costing; Activity Based Costing and Management; Health Care and Treatment; Analysis

Purchase

2025
Working Paper

Balancing Engagement and Polarization: Multi-Objective Alignment of News Content Using LLMs

By: Mengjie Cheng, Elie Ofek and Hema Yoganarasimhan

We study how media firms can use LLMs to generate news content that aligns with multiple objectives—making content more engaging while maintaining a preferred level of polarization/slant consistent with the firm’s editorial policy. Using news articles from The New York... View Details

Keywords: Large Language Models; Content Creation; Media; Polarization; Generative Ai; Direct Preference Optimization; AI and Machine Learning; News; Perspective; Digital Marketing; Policy; Media and Broadcasting Industry

SSRN

Research Summary

Overview

By: Joshua R. Schwartzstein

Professor Schwartzstein uses the lens of behavioral economics to build more psychologically accurate assumptions into economic models, and he applies these models to create a more realistic understanding of market outcomes and optimal public policy. View Details

2012
Article

Behavioral Economics and the Psychology of Fruit and Vegetable Consumption

By: Joe Price and Jason Riis

Behavioral economics is an emerging paradigm that challenges the assumptions and predictions of classical economics. This new paradigm emphasizes that consumers do not always make optimal use of available information nor do they always make choices and tradeoffs in a... View Details

Keywords: Plant-Based Agribusiness; Food; Social Marketing; Decision Choices and Conditions; Consumer Behavior; Nutrition

2019
Working Paper

Understanding Different Approaches to Benefit-Based Taxation

By: Robert Scherf and Matthew C. Weinzierl

The normative principle of benefit-based taxation has exerted substantial influence on many areas of public finance, but it has been largely set aside in the modern theoretical approach to optimal income taxation, where welfarist objectives dominate. A prerequisite for... View Details

Keywords: Benefit-based Taxation; Taxation; Theory

SSRN

Article

Multi-Echelon Inventory Management Under Short-Term Take-or-Pay Contracts

By: Joel Goh and Evan L. Porteus

We extend the Clark–Scarf serial multi-echelon inventory model to include procuring production inputs under short-term take-or-pay contracts at one or more stages. In each period, each such stage has the option to order/process at two different cost rates; the cheaper... View Details

Keywords: Inventory Management; Multi-echelon Inventory Theory; Karush Lemma; Clark-Scarf Model; Convex Ordering Cost; Advance Commitments; Supply Chain

Purchase

October 2019 (Revised February 2023)
Case

Gupta Media: Performance Marketing in the Digital Age

By: V. Kasturi Rangan and Courtney Han

Gupta Media is a Digital Marketing firm started in 2005 that places advertisements and marketing promotions for its clients in digital media, mainly social media such as Facebook and Google. Over the years it had built its expertise in promoting music labels, artists... View Details

Keywords: Marketing; Digital Marketing; Performance; Measurement and Metrics; Social Media; Advertising Industry

Educators

Purchase

10 Nov 2003
Research & Ideas

Globalization: The Strategy of Differences

potential for the scale economies that such commonalities unlock, as their primary source of added value. Differences from country to country, in contrast, are viewed as obstacles that need to be overcome. It's possible to apply different... View Details

Keywords: by Pankaj Ghemawat

2020
Working Paper

Design and Analysis of Switchback Experiments

By: Iavor I Bojinov, David Simchi-Levi and Jinglong Zhao

In switchback experiments, a firm sequentially exposes an experimental unit to a random treatment, measures its response, and repeats the procedure for several periods to determine which treatment leads to the best outcome. Although practitioners have widely adopted... View Details

Keywords: Switchback Experiments; Design; Analysis; Mathematical Methods