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- June 2021
- Technical Note
Introduction to Linear Regression
By: Michael Parzen and Paul J. Hamilton
This technical note introduces (from an applied point of view) the theory and application of simple and multiple linear regression. The motivation for the model is introduced, as well as how to interpret the summary output with regard to prediction and statistical...
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- April 2021
- Case
Buy Online, Pickup in Store: Evaluating an Omnichannel Intervention in Retail
By: Antonio Moreno, Santiago Gallino and Amy Klopfenstein
In October 2018, fashion, wellness, and beauty retailer Sylvarella implemented a Buy Online, Pickup in Store (BOPS) program in an attempt to counteract a sales decline. While BOPS had the potential to meet customer expectations for a seamless order and fulfillment...
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- 2021
- Working Paper
Human versus Machine: A Comparison of Robo-Analyst and Traditional Research Analyst Investment Recommendations
By: Joseph Pacelli, Braiden Coleman and Kenneth J. Merkley
We provide the first comprehensive analysis of the properties of investment recommendations generated by “Robo-Analysts,” which are human-analyst-assisted computer programs conducting automated research analysis. Our results indicate that Robo-Analyst recommendations...
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- 2021
- Working Paper
The Health Costs of Cost-Sharing
By: Amitabh Chandra, Evan Flack and Ziad Obermeyer
We use the design of Medicare’s prescription drug benefit program to demonstrate three facts about the health consequences of cost-sharing. First, we show that an as-if-random increase of 33.6% in out-of-pocket price (11.0 percentage points (p.p.) change in...
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- November 2020
- Article
Accelerator or Brake? Cash for Clunkers, Household Liquidity, and Aggregate Demand
By: Daniel Green, Brian Melzer, Jonathan Parker and Arcenis Rojas
This paper evaluates the Car Allowance Rebate System (CARS) by comparing the vehicle purchases and disposals of households with eligible "clunkers" to those of households with similar, but ineligible, vehicles. CARS caused roughly 500,000 purchases during the program...
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Keywords:
Automobiles;
Purchasing;
Government Incentives;
Household;
Financial Liquidity;
Income;
Behavior
- September 2020 (Revised September 2021)
- Case
Student Success at Georgia State University (A)
By: Michael W. Toffel, Robin Mendelson and Julia Kelley
Georgia State University had developed a reputation for driving student success by nearly doubling its graduation rate for students of all racial, ethnic, and socioeconomic backgrounds. It did so while growing its student body and the proportion of Black/African...
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Keywords:
Education;
Higher Education;
Learning;
Curriculum and Courses;
Demographics;
Diversity;
Ethnicity;
Income;
Race;
Leadership;
Goals and Objectives;
Measurement and Metrics;
Operations;
Organizations;
Mission and Purpose;
Organizational Culture;
Outcome or Result;
Performance;
Performance Effectiveness;
Performance Evaluation;
Service Operations;
Performance Improvement;
Planning;
Strategic Planning;
Social Enterprise;
Nonprofit Organizations;
Social Issues;
Wealth and Poverty;
Equality and Inequality;
Technology;
Technology Platform;
Education Industry;
Atlanta
- July 2020 (Revised September 2020)
- Case
The Honor Foundation: Accessing Special Operations Talent
By: Boris Groysberg and John Masko
In 2020, The Honor Foundation (THF), a nonprofit dedicated to helping U.S. military special operators to transition into civilian careers, was facing a series of strategic challenges. THF had been founded in 2013 by former Navy SEAL trainee Joe Musselman, who observed...
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Keywords:
Experience and Expertise;
Talent and Talent Management;
Curriculum and Courses;
Executive Education;
Social Entrepreneurship;
National Security;
Recruitment;
Retention;
Job Interviews;
Job Search;
Knowledge Use and Leverage;
Leadership Development;
Leadership Style;
Crisis Management;
Mission and Purpose;
Retirement;
Nonprofit Organizations;
War;
Education Industry;
San Diego;
Virginia
- Article
Oracle Efficient Private Non-Convex Optimization
By: Seth Neel, Aaron Leon Roth, Giuseppe Vietri and Zhiwei Steven Wu
One of the most effective algorithms for differentially private learning and optimization is objective perturbation. This technique augments a given optimization problem (e.g. deriving from an ERM problem) with a random linear term, and then exactly solves it....
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- Article
Association of the Meaningful Use Electronic Health Record Incentive Program with Health Information Technology Venture Capital Funding
By: Samuel Lite, William J. Gordon and Ariel Dora Stern
IMPORTANCE
Although the Health Information Technology for Economic and Clinical Health (HITECH) Act has accelerated electronic health record (EHR) adoption since its passage, clinician satisfaction with EHRs remains low, and the association of HITECH with... View Details
Although the Health Information Technology for Economic and Clinical Health (HITECH) Act has accelerated electronic health record (EHR) adoption since its passage, clinician satisfaction with EHRs remains low, and the association of HITECH with... View Details
- Article
Economic Principles for Medicare Reform
By: Amitabh Chandra and Craig Garthwaite
In this article, we develop an economic framework for Medicare reform that highlights trade-offs that reform proposals should grapple with but often ignore. Central to our argument is a tension in administratively set prices, which may improve short-term efficiency but...
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- November 2019
- Article
When and Why Defaults Influence Decisions: A Meta-analysis of Default Effects
By: Jon M. Jachimowicz, Shannon Duncan, Elke U. Weber and Eric J. Johnson
When people make decisions with a pre-selected choice option—a “default”—they are more likely to select that option. Because defaults are easy to implement, they constitute one of the most widely employed tools in the choice architecture toolbox. However, to decide...
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- September 2019 (Revised June 2021)
- Case
Dove and Real Beauty: Building a Brand with Purpose
By: Mark R. Kramer, Myriam Sidibe and Gunjan Veda
Unilever subsidiary Dove soap became a "brand with a purpose" and created shared value when the company decided to launch a Campaign for Real Beauty to combat the artificial media-driven stereotype of female beauty that causes appearance anxiety in women and girls...
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- November 2018 (Revised January 2019)
- Case
The Weir Group: Reforming Executive Pay (A)
By: Lynn S. Paine and Federica Gabrieli
In February 2018, the Remuneration Committee together with the full Board of Directors of the Scotland-based engineering company The Weir Group had to decide whether to seek a shareholder vote at the upcoming Annual General Meeting in April on a proposal to reform the...
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Keywords:
General Management;
Board Of Directors;
Executive Committees;
Human Resource Management;
Compensation;
Pay For Performance;
Incentives;
Bonuses;
Incentive Programs;
Employee Stock Ownership Plans;
Performance Measurement;
Corporate Governance;
Governing and Advisory Boards;
Human Resources;
Management;
Executive Compensation;
Change;
Performance Evaluation;
Employee Stock Ownership Plan;
Europe;
United Kingdom;
Scotland
- Article
Financial Analysis of Pediatric Resident Physician Primary Care Longitudinal Outpatient Experience
By: Robert S. Kaplan, Carole H. Stipelman, Brad Poss, Laura Anne Stetson, Luca Boi, Michael Rogers, Caleb Puzey, Sri Koduri, Vivian S. Lee and Edward B. Clark
Objective
To determine whether residency training represents a net positive or negative cost to academic medical centers, we analyzed the cost of a residency program and clinical productivity of residents and faculty in an outpatient primary care practice with or... View Details
To determine whether residency training represents a net positive or negative cost to academic medical centers, we analyzed the cost of a residency program and clinical productivity of residents and faculty in an outpatient primary care practice with or... View Details
- Article
Evaluating the Effectiveness of Corporate Compliance Programs: Establishing a Model for Prosecutors, Courts, and Firms
By: Eugene F. Soltes
When prosecutors, courts, and regulators make charging and sentencing decisions, they must evaluate whether firms have effective compliance programs. Such evaluations are difficult because of the challenges associated with measuring effectiveness. Notably, these...
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- 2018
- Working Paper
Efficient Discovery of Heterogeneous Treatment Effects in Randomized Experiments via Anomalous Pattern Detection
By: Edward McFowland III, Sriram Somanchi and Daniel B. Neill
In the recent literature on estimating heterogeneous treatment effects, each proposed method makes its own set of restrictive assumptions about the intervention’s effects and which subpopulations to explicitly estimate. Moreover, the majority of the literature provides...
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- August 2017 (Revised December 2018)
- Case
Tamarin App: Natural Language Processing
By: Srikant M. Datar and Caitlin N. Bowler
In this case, students explore the challenges of using sentiment analysis to monitor and understand public perception around a software application, Tamarin SEO App. Technical topics include building a filtering classifier using naive Bayes and sentiment analysis This...
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- August 2017 (Revised August 2018)
- Case
Busbud: Building a Data Company
By: Srikant M. Datar, Alistair Croll and Caitlin N. Bowler
The case features the work of LP Maurice (HBS '08) as he decides to take on the fragmented bus travel industry and launch an online business that aggregates and shares bus schedules for routes around the world. His first challenge: finding that the data he needs is...
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- August 2017 (Revised August 2018)
- Case
The Oakland Athletics: Strategy & Metrics for a Budget
By: Srikant M. Datar and Caitlin N. Bowler
This case considers Oakland Athletics General Manager Billy Beane’s data driven and, in baseball circles unconventional, approach to winning games over the duration of the long Major League Baseball season. Beane’s critical approach to crafting strategy within his...
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- July 2017 (Revised November 2017)
- Case
Propel
By: Mitchell Weiss and Sarah McAra
In 2014, Jimmy Chen, a former product manager at Facebook, founded the start-up Propel to build software for low-income Americans. After conducting in-depth behavioral research, Chen and his small team in New York City began to develop technology to address the...
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Keywords:
Public Entrepreneurship;
Govtech;
Food Stamps;
EBT;
Mobile App;
User Research;
Financial Services Referrals;
Grocery Marketing;
Customer Discovery;
Social Entrepreneurship;
Entrepreneurship;
Public Sector;
Business Model;
Research;
Social Enterprise;
Poverty;
Welfare;
Mobile Technology;
Software;
Technology Industry;
United States