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- March 2020 (Revised September 2020)
- Case
Opportunity Insights: Research and Policy for Social Mobility
By: Scott Duke Kominers, Jeffrey Huizinga and Allison Ciechanover
Opportunity Insights -- a non-profit that researches drivers of economic opportunity and develops policy solutions to help families achieve better life outcomes -- seeks to expand its impact. View Details
Keywords: Economic Opportunity; Social Mobility; Nonprofit Organizations; Social Issues; Housing; Policy; Opportunities
Kominers, Scott Duke, Jeffrey Huizinga, and Allison Ciechanover. "Opportunity Insights: Research and Policy for Social Mobility." Harvard Business School Case 820-714, March 2020. (Revised September 2020.)
- February 2020
- Case
Klöckner & Co: Steeling for a Digital World
By: Scott Duke Kominers and Carin-Isabel Knoop
Hoping to get ahead of potential digital disruption at Klöckner & Co.—one of the world’s largest steel and metal distributors—CEO Gisbert Rühl set up both kloeckner.i (KCI), an internal transformation arm, and XOM Materials (XOM), an independent industry platform. KCI... View Details
Keywords: Corporate Entrepreneurship; Market Design; Digital Platforms; Markets; Industry Structures; Supply and Industry; Technology Adoption; Transformation; Digital Transformation; Steel Industry; Information Technology Industry; Europe; Germany
Kominers, Scott Duke, and Carin-Isabel Knoop. "Klöckner & Co: Steeling for a Digital World." Harvard Business School Case 820-035, February 2020.
- Article
Under Armour Dumped Its App, and Consumers Feel the Heartbreak
Kominers, Scott Duke. "Under Armour Dumped Its App, and Consumers Feel the Heartbreak." Bloomberg Opinion (February 5, 2020).
- January 2020
- Case
Lunchclub: Algorithmic Networking
By: Scott Duke Kominers and George Gonzalez
Algorithmic networking startup Lunchclub coordinates in-person meetings between professionals who would have been unlikely to meet. The company faces marketplace design, growth, and monetization challenges: The executive team has to refine Lunchclub's marketplace... View Details
Keywords: Monetization Strategy; Networking; Business Startups; Marketplace Matching; Market Design; Growth and Development Strategy; Information Industry
Kominers, Scott Duke, and George Gonzalez. "Lunchclub: Algorithmic Networking." Harvard Business School Case 820-051, January 2020.
- January 27, 2020
- Article
Food-Stamp Work Requirements Just Look Cruel
The rule doesn’t help beneficiaries find the steady employment that doesn’t exist. View Details
Kominers, Scott Duke. "Food-Stamp Work Requirements Just Look Cruel." Bloomberg Opinion (January 27, 2020).
- Article
Fake AI People Won't Fix Online Dating
Computer-generated images may inspire even more distrust and surely won’t lead to the love of a lifetime. View Details
Keywords: Artificial Intelligence; Dating Services; Internet and the Web; Ethics; AI and Machine Learning
Kominers, Scott Duke. "Fake AI People Won't Fix Online Dating." Bloomberg Opinion (January 16, 2020).
- Article
Math Geeks Were in Their Glory in the 2010s
Kominers, Scott Duke. "Math Geeks Were in Their Glory in the 2010s." Bloomberg Opinion (December 31, 2019).
- Article
Twitter Begs Users to Target Themselves for Ads
Kominers, Scott Duke. "Twitter Begs Users to Target Themselves for Ads." Bloomberg Opinion (December 30, 2019).
- Article
United's Frequent-Flier Program Gets Some Game Theory
Kominers, Scott Duke. "United's Frequent-Flier Program Gets Some Game Theory." Bloomberg Opinion (December 13, 2019).
- 2019
- Article
Configurations of Extremal Type II Codes via Harmonic Weight Enumerators
By: Noam D. Elkies and Scott Duke Kominers
We prove configuration results for extremal Type II codes, analogous to the configuration results of Ozeki and of the second author for extremal Type II lattices. Specifically, we show that for n ∈{8,24,32,48,56,72,96} every extremal Type II code of length n is... View Details
Keywords: Mathematical Methods
Elkies, Noam D., and Scott Duke Kominers. "Configurations of Extremal Type II Codes via Harmonic Weight Enumerators." Journal de Théorie des Nombres de Bordeaux 31, no. 3 (2019): 679–688.
- December 2019
- Article
Costly Concessions: An Empirical Framework for Matching with Imperfectly Transferable Utility
By: Alfred Galichon, Scott Duke Kominers and Simon Weber
We introduce an empirical framework for models of matching with imperfectly transferable utility and unobserved heterogeneity in tastes. Our framework allows us to characterize matching equilibrium in a flexible way that includes as special cases the classic fully- and... View Details
Keywords: Sorting; Matching; Marriage Market; Intrahousehold Allocation; Imperfectly Transferable Utility; Marketplace Matching; Mathematical Methods
Galichon, Alfred, Scott Duke Kominers, and Simon Weber. "Costly Concessions: An Empirical Framework for Matching with Imperfectly Transferable Utility." Journal of Political Economy 127, no. 6 (December 2019): 2875–2925.
- December 2019
- Article
Patent Trolls: Evidence from Targeted Firms
By: Lauren Cohen, Umit Gurun and Scott Duke Kominers
We provide the first large-sample evidence on the behavior and impact of nonpracticing entities (NPEs) in the intellectual-property space. We find that, on average, NPEs appear to behave as opportunistic “patent trolls.” NPEs sue cash-rich firms and target cash in... View Details
Keywords: Patent Trolls; Innovation; Patents; Lawsuits and Litigation; Ethics; Innovation and Invention
Cohen, Lauren, Umit Gurun, and Scott Duke Kominers. "Patent Trolls: Evidence from Targeted Firms." Management Science 65, no. 12 (December 2019): 5461–5486. (Cited in the United States Federal Trade Commission Report on Patent Assertion Entities, 2016.)
- November 2019
- Article
Full Substitutability
By: John William Hatfield, Scott Duke Kominers, Alexandru Nichifor, Michael Ostrovsky and Alexander Westkamp
Various forms of substitutability are essential for establishing the existence of equilibria and other useful properties in diverse settings such as matching, auctions, and exchange economies with indivisible goods. We extend earlier models’ definitions of... View Details
Hatfield, John William, Scott Duke Kominers, Alexandru Nichifor, Michael Ostrovsky, and Alexander Westkamp. "Full Substitutability." Theoretical Economics 14, no. 4 (November 2019): 1535–1590.
- October 14, 2019
- Article
Starbucks Stores That Only Accept Mobile Orders Sure Beat the Line
Kominers, Scott Duke. "Starbucks Stores That Only Accept Mobile Orders Sure Beat the Line." Bloomberg Opinion (October 12, 2019).
- 2020
- Working Paper
Collusion in Brokered Markets
By: John William Hatfield, Scott Duke Kominers and Richard Lowery
The U.S. residential real estate agency market presents a puzzle for economic theory: commissions on real estate transactions have remained high for decades even though entry is frequent and costs are low. We model the real estate agency market, and other brokered... View Details
Keywords: Real Estate; "Repeated Games"; Collusion; Antitrust; Brokered Markets; Game Theory; Real Estate Industry
Hatfield, John William, Scott Duke Kominers, and Richard Lowery. "Collusion in Brokered Markets." Harvard Business School Working Paper, No. 20-023, September 2019. (Revised July 2020.)
- September 2019
- Article
Optimizing Reserves in School Choice: A Dynamic Programming Approach
By: Franklyn Wang, Ravi Jagadeesan and Scott Duke Kominers
We introduce a new model of school choice with reserves in which a social planner is constrained by a limited supply of reserve seats and tries to find an optimal matching according to a social welfare function. We construct the optimal distribution of reserves via a... View Details
Wang, Franklyn, Ravi Jagadeesan, and Scott Duke Kominers. "Optimizing Reserves in School Choice: A Dynamic Programming Approach." Operations Research Letters 47, no. 5 (September 2019): 438–446.
- November 2019
- Other Article
Corrigendum to "Multilateral Matching"
By: Keisuke Bando, Toshiyuki Hirai, John William Hatfield and Scott Duke Kominers
We identify an error in the claim by Hatfield and Kominers (2015) that every stable outcome in the setting of multilateral matching with contracts is efficient. We then show that the result can be recovered under a suitable differentiability condition. View Details
Keywords: Matching; Stability; Competitive Equilibrium; Networks; Joint Ventures; Balance and Stability
Bando, Keisuke, Toshiyuki Hirai, John William Hatfield, and Scott Duke Kominers. Corrigendum to "Multilateral Matching". Art. 104933. Journal of Economic Theory 184 (November 2019).
- 2019
- Article
Allocation for Social Good: Auditing Mechanisms for Utility Maximization
By: Taylor Lundy, Alexander Wei, Hu Fu, Scott Duke Kominers and Kevin Leyton-Brown
Lundy, Taylor, Alexander Wei, Hu Fu, Scott Duke Kominers, and Kevin Leyton-Brown. "Allocation for Social Good: Auditing Mechanisms for Utility Maximization." Proceedings of the ACM Conference on Economics and Computation (2019): 785–803.
- Article
People Make It So Hard to Ditch Plastic Straws
Rarely has a minor consumer product received more vilification than the plastic straw. As a symbol of human wastefulness and our careless disregard for the environment, straws are the near-perfect villain. You use a plastic straw once and toss it, but it stays with us... View Details
Keywords: Environmental Sustainability; Governing Rules, Regulations, and Reforms; Consumer Behavior
Kominers, Scott Duke. "People Make It So Hard to Ditch Plastic Straws." Bloomberg Opinion (July 15, 2019).
- 2019
- Article
Ridesharing with Driver Location Preferences
By: Duncan Rheingans-Yoo, Scott Duke Kominers, Hongyao Ma and David C. Parkes
We study revenue-optimal pricing and driver compensation in ridesharing platforms when drivers have heterogeneous preferences over locations. If a platform ignores drivers' location preferences, it may make inefficient trip dispatches; moreover, drivers may strategize... View Details
Keywords: Ridesharing; Pricing; Compensation and Benefits; Geographic Location; Market Design; Mathematical Methods
Rheingans-Yoo, Duncan, Scott Duke Kominers, Hongyao Ma, and David C. Parkes. "Ridesharing with Driver Location Preferences." Proceedings of the International Joint Conference on Artificial Intelligence (2019): 557–564.