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- Faculty Publications (136)
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All HBS Web
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- Faculty Publications (136)
- August, 2022
- Article
Billing and Insurance-Related Administrative Costs: A Cross-National Analysis
By: Barak D. Richman, Robert S. Kaplan, Japees Kohli, Dennis Purcell, Mahek Shah, Igna Bonfrer, Brian Golden, Rosemary Hannam, Will Mitchell, Daniel Cehic, Garry Crispin and Kevin A. Schulman
Billing and insurance-related costs are a significant source of wasteful health care spending in Organization for Economic Cooperation and Development nations, but these administrative burdens vary across national systems. We executed a microlevel accounting of these...
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Richman, Barak D., Robert S. Kaplan, Japees Kohli, Dennis Purcell, Mahek Shah, Igna Bonfrer, Brian Golden, Rosemary Hannam, Will Mitchell, Daniel Cehic, Garry Crispin, and Kevin A. Schulman. "Billing and Insurance-Related Administrative Costs: A Cross-National Analysis." Health Affairs 41, no. 8 (August, 2022): 1098–1106.
- July 2022 (Revised February 2024)
- Teaching Note
The DivaCup: Navigating Distribution and Growth
By: Ayelet Israeli
Teaching Note for HBS Case No. 519-055. When the mother-daughter founders of DivaCup set out with a mission to disrupt the menstrual care industry with an innovative product form, they initially struggled to gain legitimacy and convince retailers to carry their unique...
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Keywords:
Female;
Female Ceo;
Female Entrepreneur;
Female Protagonist;
Health & Wellness;
Healthcare;
Price Policies;
Minimum Advertised Price;
Differentiation;
Positioning;
Growth;
Health;
Health Care and Treatment;
Price;
Disruption;
Distribution;
Distribution Channels;
Competitive Strategy;
Competition;
Growth Management;
Mission and Purpose;
Product Development;
Product Marketing;
Product Launch;
Product Positioning;
Advertising;
Business Startups;
Internet and the Web;
Entrepreneurship;
Social Entrepreneurship;
Social Issues;
Social Enterprise;
Retail Industry;
Medical Devices and Supplies Industry;
Manufacturing Industry;
Health Industry;
Green Technology Industry;
Education Industry;
Distribution Industry;
Consumer Products Industry;
Canada;
United States;
United Kingdom
- Article
How Much Should We Trust Staggered Difference-In-Differences Estimates?
By: Andrew C. Baker, David F. Larcker and Charles C.Y. Wang
We explain when and how staggered difference-in-differences regression estimators, commonly applied to assess the impact of policy changes, are biased. These biases are likely to be relevant for a large portion of research settings in finance, accounting, and law that...
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Keywords:
Difference In Differences;
Staggered Difference-in-differences Designs;
Generalized Difference-in-differences;
Dynamic Treatment Effects;
Mathematical Methods
Baker, Andrew C., David F. Larcker, and Charles C.Y. Wang. "How Much Should We Trust Staggered Difference-In-Differences Estimates?" Journal of Financial Economics 144, no. 2 (May 2022): 370–395. (Editor's Choice, May 2022; Jensen Prize, First Place, June 2023.)
- May 2022
- Article
Variance Analysis: New Insights from Health Care Applications
By: Robert S. Kaplan and Susanna Gallani
We use a health care application to illustrate how variance analysis can be used to benchmark costs across similar service delivery sites. Variances for personnel costs, typically the largest cost component in service organizations, are calculated for price, quantity,...
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Keywords:
Variance Analysis;
Benchmarking;
Time-Driven Activity-Based Costing;
Health Care;
Activity Based Costing and Management;
Health Care and Treatment;
Service Delivery;
Service Industry
Kaplan, Robert S., and Susanna Gallani. "Variance Analysis: New Insights from Health Care Applications." Issues in Accounting Education 37, no. 2 (May 2022): 27–36.
- 2022
- Working Paper
A Linear Panel Model with Heterogeneous Coefficients and Variation in Exposure
By: Jesse M. Shapiro and Liyang Sun
Linear panel models featuring unit and time fixed effects appear in many areas of empirical economics. An active literature studies the interpretation of the ordinary least squares estimator of the model, commonly called the two-way fixed effects (TWFE) estimator, in...
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Shapiro, Jesse M., and Liyang Sun. "A Linear Panel Model with Heterogeneous Coefficients and Variation in Exposure." NBER Working Paper Series, No. 29976, April 2022.
- April–June 2022
- Other Article
Commentary on 'Causal Decision Making and Causal Effect Estimation Are Not the Same... and Why It Matters'
There has been a substantial discussion in various methodological and applied literatures around causal inference; especially in the use of machine learning and statistical models to understand heterogeneity in treatment effects and to make optimal decision...
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Keywords:
Causal Inference;
Treatment Effect Estimation;
Treatment Assignment Policy;
Human-in-the-loop;
Decision Making;
Fairness
McFowland III, Edward. "Commentary on 'Causal Decision Making and Causal Effect Estimation Are Not the Same... and Why It Matters'." INFORMS Journal on Data Science 1, no. 1 (April–June 2022): 21–22.
- March 31, 2022
- Article
Two Approaches to Capping Health Care Prices
By: Michael E. Chernew, Maximilian J. Pany and Leemore S. Dafny
High health care prices for the privately-insured contribute to high premiums, which put downward pressure on wages, and induce employers to reduce benefit generosity and charge employees more for coverage. As the average annual premium for family coverage currently...
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Chernew, Michael E., Maximilian J. Pany, and Leemore S. Dafny. "Two Approaches to Capping Health Care Prices." Health Affairs Forefront (March 31, 2022).
- 2023
- Working Paper
Can Evidence-Based Information Shift Preferences Towards Trade Policy?
By: Laura Alfaro, Maggie X. Chen and Davin Chor
We investigate the role of evidence-based information in shaping individuals' preferences for trade policies through a series of survey experiments that contain randomized information treatments. Each treatment provides a concise statement of economics research...
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Alfaro, Laura, Maggie X. Chen, and Davin Chor. "Can Evidence-Based Information Shift Preferences Towards Trade Policy?" Harvard Business School Working Paper, No. 22-062, March 2022. (Revised May 2023. NBER Working Paper Series, No. 31240, May 2023)
- March 2022
- Article
Estimating the Effectiveness of Permanent Price Reductions for Competing Products Using Multivariate Bayesian Structural Time Series Models
By: Fiammetta Menchetti and Iavor Bojinov
Researchers regularly use synthetic control methods for estimating causal effects when a sub-set of units receive a single persistent treatment, and the rest are unaffected by the change. In many applications, however, units not assigned to treatment are nevertheless...
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Keywords:
Causal Inference;
Partial Interference;
Synthetic Controls;
Bayesian Structural Time Series;
Mathematical Methods
Menchetti, Fiammetta, and Iavor Bojinov. "Estimating the Effectiveness of Permanent Price Reductions for Competing Products Using Multivariate Bayesian Structural Time Series Models." Annals of Applied Statistics 16, no. 1 (March 2022): 414–435.
- Article
Policies to Influence Perceptions about COVID-19 Risk: The Case of Maps
By: Claudia Engel, Jonathan Rodden and Marco Tabellini
Choropleth disease maps have become an important tool for informing the public about the risks posed by COVID-19. In a survey conducted in the U.S. state of Georgia in June 2020, we randomly assigned respondents to view either of two maps. The first one reported...
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Engel, Claudia, Jonathan Rodden, and Marco Tabellini. "Policies to Influence Perceptions about COVID-19 Risk: The Case of Maps." Science Advances 8, no. 11 (March 18, 2022).
- 2022
- Working Paper
Statistical Inference for Heterogeneous Treatment Effects Discovered by Generic Machine Learning in Randomized Experiments
By: Kosuke Imai and Michael Lingzhi Li
Researchers are increasingly turning to machine learning (ML) algorithms to investigate causal heterogeneity in randomized experiments. Despite their promise, ML algorithms may fail to accurately ascertain heterogeneous treatment effects under practical settings with...
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Imai, Kosuke, and Michael Lingzhi Li. "Statistical Inference for Heterogeneous Treatment Effects Discovered by Generic Machine Learning in Randomized Experiments." Working Paper, March 2022.
- February 18, 2022
- Article
Transparency as a Solution for COVID-19 Related Hospital Capacity Issues
By: Regina E. Herzlinger and Richard Boxer
In the initial phases of the COVID-19 pandemic, many U.S. hospitals could not provide an adequate supply of beds to meet demand. Solving the problem of hospital bed capacity is of great importance in the “new normal,” which requires recognizing that SARS-CoV-2 is but...
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Keywords:
COVID;
COVID-19 Pandemic;
Health Care;
Health Care Demand;
Health Care Delivery;
Health Care Industry;
Health Care Operations;
Health Care Policy;
Transparency;
Hospital;
Hospital Management;
Hospitals;
Health Pandemics;
Health Care and Treatment;
Service Delivery;
Operations;
Performance Capacity;
Policy;
Health Industry
Herzlinger, Regina E., and Richard Boxer. "Transparency as a Solution for COVID-19 Related Hospital Capacity Issues." Health Affairs Forefront (February 18, 2022).
- February 2022
- Technical Note
Ethical Analysis: Fairness
By: Nien-hê Hsieh
Concerns about fairness can arise across a wide range of contexts. They include the treatment of others, how much things cost, how much workers are paid, the outcome of a decision, and how we assign benefits and burdens across individuals. What counts as fair in a...
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Hsieh, Nien-hê. "Ethical Analysis: Fairness." Harvard Business School Technical Note 322-097, February 2022.
- Article
A 680,000-Person Megastudy of Nudges to Encourage Vaccination in Pharmacies
By: Katherine L. Milkman, Linnea Gandhi, Mitesh S. Patel, Heather N. Graci, Dena M. Gromet, Hung Ho, Joseph S. Kay, Timothy W. Lee, Jake Rothschild, Jonathan E. Bogard, Ilana Brody, Christopher F. Chabris, Edward Chang, Gretchen B. Chapman, Jennifer E. Dannals, Noah J. Goldstein, Amir Goren, Hal Hershfield, Alex Hirsch, Jillian Hmurovic, Samantha Horn, Dean Karlan, Ariella S. Kristal, Cait Lamberton, Michael N. Meyer, Allison H. Oakes, Maurice E. Schweitzer, Maheen Shermohammed, Jaochim H. Talloen, Caleb Warren, Ashley V. Whillans, Kuldeep N. Yadav, Julian J. Zlatev, Ron Berman, Chalanda N. Evans, Rahul Ladhania, Jens Ludwig, Nina Mazar, Sendhil Mullainathan, Christopher K. Snider, Jann Spiess, Eli Tsukayama, Lyle Ungar, Christophe Van den Bulte, Kevin G. Volpp and Angela L. Duckworth
Encouraging vaccination is a pressing policy problem. To assess whether text-based reminders can encourage pharmacy vaccination and what kinds of messages work best, we conducted a megastudy. We randomly assigned 689,693 Walmart pharmacy patients to receive one of 22...
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Keywords:
Vaccination;
Vaccines;
Nudges;
Communication Strategy;
Communication Technology;
Consumer Behavior;
Health Care and Treatment
Milkman, Katherine L., Linnea Gandhi, Mitesh S. Patel, Heather N. Graci, Dena M. Gromet, Hung Ho, Joseph S. Kay, Timothy W. Lee, Jake Rothschild, Jonathan E. Bogard, Ilana Brody, Christopher F. Chabris, Edward Chang, Gretchen B. Chapman, Jennifer E. Dannals, Noah J. Goldstein, Amir Goren, Hal Hershfield, Alex Hirsch, Jillian Hmurovic, Samantha Horn, Dean Karlan, Ariella S. Kristal, Cait Lamberton, Michael N. Meyer, Allison H. Oakes, Maurice E. Schweitzer, Maheen Shermohammed, Jaochim H. Talloen, Caleb Warren, Ashley V. Whillans, Kuldeep N. Yadav, Julian J. Zlatev, Ron Berman, Chalanda N. Evans, Rahul Ladhania, Jens Ludwig, Nina Mazar, Sendhil Mullainathan, Christopher K. Snider, Jann Spiess, Eli Tsukayama, Lyle Ungar, Christophe Van den Bulte, Kevin G. Volpp, and Angela L. Duckworth. "A 680,000-Person Megastudy of Nudges to Encourage Vaccination in Pharmacies." e2115126119. Proceedings of the National Academy of Sciences 119, no. 6 (February 8, 2022).
- 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...
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Keywords:
Prescriptive Analytics;
Heterogeneous Treatment Effects;
Optimization;
Observed Rank Utility Condition (OUR);
Between-treatment Heterogeneity;
Machine Learning;
Decision Making;
Analysis;
Mathematical Methods
McFowland III, Edward, Sandeep Gangarapu, Ravi Bapna, and Tianshu Sun. "A Prescriptive Analytics Framework for Optimal Policy Deployment Using Heterogeneous Treatment Effects." MIS Quarterly 45, no. 4 (December 2021): 1807–1832.
- Article
Social Technology: An Interdisciplinary Approach to Improving Care for Older Adults
By: Arthur Kleinman, Hongtu Chen, Sue E. Levkoff, Ann Forsyth, David E. Bloom, Winnie Yip, Tarun Khanna, Conor J. Walsh, David Perry, Ellen W. Seely, Anne S. Kleinman, Yan Zhang, Yuan Wang, Jun Jing, Tianshu Pan, Ning An, Zhenggang Bai, Jiexiu Wang, Qing Liu and Fawwaz Habbal
Population aging is a defining demographic reality of our era. It is associated with an increase in the societal burden of delivering care to older adults with chronic conditions or frailty. How to integrate global population aging and technology development to help...
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Keywords:
Health Care and Treatment;
Age;
Service Delivery;
Information Technology;
Collaborative Innovation and Invention
Kleinman, Arthur, Hongtu Chen, Sue E. Levkoff, Ann Forsyth, David E. Bloom, Winnie Yip, Tarun Khanna, Conor J. Walsh, David Perry, Ellen W. Seely, Anne S. Kleinman, Yan Zhang, Yuan Wang, Jun Jing, Tianshu Pan, Ning An, Zhenggang Bai, Jiexiu Wang, Qing Liu, and Fawwaz Habbal. "Social Technology: An Interdisciplinary Approach to Improving Care for Older Adults." Art. 729149. Frontiers in Public Health 9 (2021).
- December 2021
- Article
Trade Policy Uncertainty and Stock Returns
By: Marcelo Bianconi, Federico Esposito and Marco Sammon
A recent literature has documented large real effects of trade policy uncertainty (TPU) on trade, employment, and investment, but there is little evidence that investors are compensated for bearing such risk. To quantify the risk premium associated with TPU, we exploit...
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Keywords:
Trade Policy;
Uncertainty;
Stock Returns;
Risk Premium;
Tariff Rates;
Portfolio Analysis;
Trade;
Policy;
Risk and Uncertainty;
Stocks;
Investment Return
Bianconi, Marcelo, Federico Esposito, and Marco Sammon. "Trade Policy Uncertainty and Stock Returns." Art. 102492. Journal of International Money and Finance 119 (December 2021).
- November 2021
- Article
Panel Experiments and Dynamic Causal Effects: A Finite Population Perspective
By: Iavor Bojinov, Ashesh Rambachan and Neil Shephard
In panel experiments, we randomly assign units to different interventions, measuring their outcomes, and repeating the procedure in several periods. Using the potential outcomes framework, we define finite population dynamic causal effects that capture the relative...
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Keywords:
Panel Data;
Dynamic Causal Effects;
Potential Outcomes;
Finite Population;
Nonparametric;
Mathematical Methods
Bojinov, Iavor, Ashesh Rambachan, and Neil Shephard. "Panel Experiments and Dynamic Causal Effects: A Finite Population Perspective." Quantitative Economics 12, no. 4 (November 2021): 1171–1196.
- Article
Health Equity, Schooling Hesitancy, and the Social Determinants of Learning
By: Meira Levinson, Alan C. Geller, Joseph G. Allen and John D. Macomber
At least 62 million K-12 students in North America—disproportionately low-income children of color— have been physically out of school for over a year due to the COVID-19 pandemic. These children are at risk of significant academic, social, mental, and physical harm...
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Keywords:
COVID-19;
Public Health;
Air Quality;
Social Determinants Of Health;
Schooling Hesitancy;
Vaccine Hesitancy;
Racial Injustice;
Inequity;
Inequality;
Health Pandemics;
Education;
Health Care and Treatment;
Policy;
Race;
Equality and Inequality
Levinson, Meira, Alan C. Geller, Joseph G. Allen, and John D. Macomber. "Health Equity, Schooling Hesitancy, and the Social Determinants of Learning." Art. 100032. Lancet Regional Health – Americas 2 (October 2021).
- 2021
- Working Paper
The Luck of the Draw: The Causal Effect of Physicians on Birth Outcomes
By: Arlen Guarin, Christian Posso, Estefania Saravia and Jorge Tamayo
Identifying the effect of physicians’ skills on health outcomes is a challenging task due to the nonrandom sorting between physicians and hospitals. We overcome this challenge by exploiting a Colombian government program that randomly assigned 2,126 physicians to 618...
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Keywords:
Physicians' Health Skills;
Health Birth Outcomes;
Birthing Outcomes;
Experimental Evidence;
Health Care and Treatment;
Competency and Skills;
Outcome or Result;
Health Industry;
Colombia
Guarin, Arlen, Christian Posso, Estefania Saravia, and Jorge Tamayo. "The Luck of the Draw: The Causal Effect of Physicians on Birth Outcomes." Harvard Business School Working Paper, No. 22-015, February 2021. (R&R American Economic Journal.)