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- September 2022
- Technical Note
Addressing Social Determinants of Health in the American Landscape
By: Susanna Gallani and Jacob Riegler
Social determinants of health (SDOH) have gained significant attention in recent years. A growing body of research shows that a person’s health is influenced by a large number of non-genetic factors, most of which operate outside the realm of health care and are...
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- August 2022
- Article
Contract Duration and the Costs of Market Transactions
The optimal duration of a supply contract balances the costs of reselecting a supplier against the costs of being matched to an inefficient supplier when the contract lasts too long. I develop a structural model of contract duration that captures this tradeoff and...
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- April 2022
- Article
Demand Interactions in Sharing Economies: Evidence from a Natural Experiment Involving Airbnb and Uber/Lyft
By: Shunyuan Zhang, Dokyun Lee, Param Singh and Tridas Mukhopadhyay
We examine whether and how ride-sharing services influence the demand for home-sharing services. Our identification strategy hinges on a natural experiment in which Uber/Lyft exited Austin, Texas, in May 2016 due to local regulation. Using a 12-month longitudinal...
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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...
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- March 2022
- Article
Innovations in Retail operations: Thirty Years of Lessons from Production and Operations Management
By: Marshall Fisher and Ananth Raman
We review papers published in POM during its thirty-year history that deal with retail operations issues with an empirical approach. The papers span a range of issues, from traditional ones like forecasting and inventory planning, to new technologies, like radio...
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- February 2022
- Article
Taxation and Innovation in the 20th Century
By: Ufuk Akcigit, John Grigsby, Tom Nicholas and Stefanie Stantcheva
This paper studies the effect of corporate and personal taxes on innovation in the United States over the twentieth century. We build a panel of the universe of inventors who patent since 1920, and a historical state-level corporate tax database with corporate tax...
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- January 2022
- Case
Somatus: Value-Based Kidney Care (A)
By: Ariel D. Stern, Robert S. Huckman and Sarah Mehta
When Dr. Ikenna Okezie founded Somatus, a value-based kidney care provider, his goal had been nothing short of transforming kidney care delivery in the United States. Rather than relying on dialysis, a costly and intensive treatment for late-stage kidney disease, the...
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- November 2021
- Article
Strict ID Laws Don't Stop Voters: Evidence from a U.S. Nationwide Panel, 2008–2018
By: Enrico Cantoni and Vincent Pons
U.S. states increasingly require identification to vote—an ostensive attempt to deter fraud that prompts complaints of selective disenfranchisement. Using a difference-in-differences design on a 1.6-billion-observations panel dataset, 2008–2018, we find that the laws...
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- 2022
- Working Paper
The Value of Professional Ties in B2B Markets
By: Navid Mojir and Sriya Anbil
We study how a particular form of social ties (i.e., professional ties proxied by past employment) affect price and profitability in business-to-business (B2B) markets. While most of the work on social ties focuses on information diffusion in business-to-consumer...
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- October 2021
- Article
Board Design and Governance Failures at Peer Firms
By: Shelby Gai, J. Yo-Jud Cheng and Andy Wu
Our study introduces board committees as a crucial determinant of board actions. We examine how directors who structurally link different board committees—referred to as multi-committee directors (MCDs)—explain why some board actions are merely symbolic while others...
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- 2021
- Working Paper
Impact Accounting for Product Use: A Framework and Industry-specific Models
By: George Serafeim and Katie Trinh
This handbook provides the first systematic attempt to generate a framework and industry-specific models for the measurement of impacts on customers and the environment from use of products and services, in monetary terms, that can then be reflected in financial...
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- 2021
- Working Paper
Diversity and Performance in Entrepreneurial Teams
By: Sophie Calder-Wang, Paul A. Gompers and Kevin Huang
We study the role of diversity and performance in the entrepreneurial teams. We exploit a unique dataset of MBA students who participated in a required course to propose and start a real micro-business that allows us to examine horizontal diversity (i.e., within the...
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- Article
Variety of Innovation in Global Value Chains
By: Giulio Buciuni and Gary P. Pisano
This article analyzes how the geography and organization of pre- and production stages in Global Value Chains (GVC) contribute to lead firms' innovation development. A novel approach in GVC studies is introduced based on transaction cost economics (TCE) and the...
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- January 2021
- Article
Commuting and Innovation: Are Closer Inventors More Productive?
By: Hongyu Xiao, Andy Wu and Jaeho Kim
We estimate the causal effect of workplace–home commuting distance on inventor productivity. We construct a novel panel of U.S. inventors with precisely measured workplace–home distances and inventor-level productivity. Our identification strategy exploits firm office...
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- Article
Soul and Machine (Learning)
By: Davide Proserpio, John R. Hauser, Xiao Liu, Tomomichi Amano, Burnap Alex, Tong Guo, Dokyun (DK) Lee, Randall Lewis, Kanishka Misra, Eric Schwarz, Artem Timoshenko, Lilei Xu and Hema Yoganarasimhan
Machine learning is bringing us self-driving cars, medical diagnoses, and language translation, but how can machine learning help marketers improve marketing decisions? Machine learning models predict extremely well, are scalable to “big data,” and are a natural fit to...
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- September 2020 (Revised June 2021)
- Case
Algramo
By: Michael Chu, Monica Silva and Mariana Cal
Founded in 2013 by José Manuel Moller in Chile, Algramo first became known for addressing the “poverty tax” (the surcharge paid by lower income families for staples sold in smaller sizes) through specially-designed dispensers in low-income neighborhood grocery stores...
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Keywords:
Packaging-as-a-wallet;
Plastic Waste;
Business At The Base Of The Pyramid;
Reusable Packaging;
Alliances With FMCGs To Meet ESG Goals;
Social Entrepreneurship;
Environmental Sustainability;
Strategy;
Value Creation;
Goals and Objectives;
Business Model;
Consumer Products Industry;
Latin America;
South America;
Chile
- May 2020
- Article
How Quantitative Easing Works: Evidence on the Refinancing Channel
By: Marco Di Maggio, Amir Kermani and Christopher Palmer
We document the transmission of large-scale asset purchases by the Federal Reserve to the real economy using rich borrower-linked mortgage-market data and an identification strategy based on mortgage market segmentation. We find that central bank QE1 MBS purchases...
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Keywords:
Monetary Policy;
MBS;
Quantitative Easing;
LSAP;
Refinancing;
Deleveraging;
HARP;
GSE;
Central Banking;
Global Range;
Financing and Loans;
Credit;
United States
- 2020
- Working Paper
A General Theory of Identification
By: Iavor Bojinov and Guillaume Basse
What does it mean to say that a quantity is identifiable from the data? Statisticians seem to agree
on a definition in the context of parametric statistical models — roughly, a parameter θ in a model
P = {Pθ : θ ∈ Θ} is identifiable if the mapping θ 7→ Pθ is injective....
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- 2020
- Chapter
Team Reflexivity
By: Michaéla Schippers, Amy C. Edmondson and Michael A. West
Many teams face the problem of process loss, or suboptimal functioning, with sometimes serious consequences, such as medical errors. Team reflexivity—a deliberate process of discussing team goals, processes, or outcomes—can aid in optimizing team performance. In the...
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- 2019
- Working Paper
Soul and Machine (Learning)
By: Davide Proserpio, John R. Hauser, Xiao Liu, Tomomichi Amano, Alex Burnap, Tong Guo, Dokyun Lee, Randall Lewis, Kanishka Misra, Eric Schwarz, Artem Timoshenko, Lilei Xu and Hema Yoganarasimhan
Machine learning is bringing us self-driving cars, improved medical diagnostics, and machine translation, but can it improve marketing decisions? It can. Machine learning models predict extremely well, are scalable to “big data,” and are a natural fit to rich media...
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