Publications

2023
Article

Experimental Evaluation of Individualized Treatment Rules

By: Kosuke Imai and Michael Lingzhi Li

The increasing availability of individual-level data has led to numerous applications of individualized (or personalized) treatment rules (ITRs). Policy makers often wish to empirically evaluate ITRs and compare their relative performance before implementing them in a... View Details

Keywords: Causal Inference; Heterogeneous Treatment Effects; Precision Medicine; Uplift Modeling; Analytics and Data Science; AI and Machine Learning

October–December 2022
Article

Achieving Reliable Causal Inference with Data-Mined Variables: A Random Forest Approach to the Measurement Error Problem

By: Mochen Yang, Edward McFowland III, Gordon Burtch and Gediminas Adomavicius

Combining machine learning with econometric analysis is becoming increasingly prevalent in both research and practice. A common empirical strategy involves the application of predictive modeling techniques to "mine" variables of interest from available data, followed... View Details

Keywords: Machine Learning; Econometric Analysis; Instrumental Variable; Random Forest; Causal Inference; AI and Machine Learning; Forecasting and Prediction

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Article

Health App Policy: International Comparison of Nine Countries' Approaches

By: Anna Essén, Ariel Dora Stern, Christoffer Bjerre Haase, Josip Car, Felix Greaves, Dragana Paparova, Steven Vandeput, Rik Wehrens and David W. Bates

An abundant and growing supply of digital health applications (apps) exists in the commercial tech-sector, which can be bewildering for clinicians, patients, and payers. A growing challenge for the health care system is therefore to facilitate the identification of... View Details

Keywords: Digital Health; Apps; Health Care and Treatment; Internet and the Web; Policy; Global Range; Applications and Software

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

Purchase

November 2021
Case

Steve Schwarzman on Dealmaking I: “Becoming a ‘Friend of the Situation’” (A)

By: James K. Sebenius and Alex Green

Blackstone Co-founder, Chairman, and CEO Stephen A. Schwarzman, whom Forbes has called “Wall Street’s Greatest Dealmaker,” played a major role in the negotiations that transformed Blackstone from a fragile startup in 1985 with $400,000 in capital into a dominant... View Details

Keywords: Dealmaking; Bargaining; Conflict Resolution; Negotiation; Private Equity; Conflict and Resolution; Entrepreneurship; Problems and Challenges; Negotiation Tactics; Financial Services Industry

Educators

2021
Working Paper

Supply- and Demand-Side Effects in Performance Appraisals: The Role of Gender and Race

By: Iris Bohnet, Oliver P. Hauser and Ariella Kristal

Performance reviews in firms are common but controversial. Managers’ subjective appraisals of their employees’ performance and employees’ self-evaluations might be affected by demographic characteristics, interact with each other as self-evaluations are typically... View Details

Keywords: Performance Appraisals; Gender; Race; Performance Evaluation

Article

The Inpatient Discharge Lounge as a Potential Mechanism to Mitigate Emergency Department Boarding and Crowding

By: Brian Franklin, Sharif Vakili, Robert S. Huckman, Sarah Hosein, Nicholas Falk, Katherine Cheng, Maria Murray, Sheila Harris, Charles A. Morris and Eric Goralnick

Delayed access to inpatient beds for admitted patients contributes significantly to emergency department (ED) boarding and crowding, which have been associated with deleterious patient safety effects. To expedite inpatient bed availability, some hospitals have... View Details

Keywords: Health Care Delivery; Emergency Room; Operations Improvement; Operations Management; Health Care and Treatment; Service Delivery; Operations; Management; Performance Improvement; Service Operations

October 2007
Journal Article

Psychosocial Development and Leader Performance of Military Officer Cadets

By: Scott Snook and Paul T. Bartone

Efforts to educate and develop future military officers aim to produce highly competent, ethical and effective leaders to serve the nation. But while there is general agreement about desired outcomes, the underlying developmental processes associated with these... View Details

Keywords: Forecasting and Prediction; Leadership Development; Performance Evaluation; Personal Development and Career; Social Psychology