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- All HBS Web
(26)
- Faculty Publications (6)
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- January 2024
- Article
Population Interference in Panel Experiments
By: Kevin Wu Han, Guillaume Basse and Iavor Bojinov
The phenomenon of population interference, where a treatment assigned to one experimental unit affects another experimental unit’s outcome, has received considerable attention in standard randomized experiments. The complications produced by population interference in... View Details
Han, Kevin Wu, Guillaume Basse, and Iavor Bojinov. "Population Interference in Panel Experiments." Journal of Econometrics 238, no. 1 (January 2024).
- September 16, 2022
- Article
A Causal Test of the Strength of Weak Ties
By: Karthik Rajkumar, Guillaume Saint-Jacques, Iavor I. Bojinov, Erik Brynjolfsson and Sinan Aral
The authors analyzed data from multiple large-scale randomized experiments on LinkedIn’s People You May Know algorithm, which recommends new connections to LinkedIn members, to test the extent to which weak ties increased job mobility in the world’s largest... View Details
Rajkumar, Karthik, Guillaume Saint-Jacques, Iavor I. Bojinov, Erik Brynjolfsson, and Sinan Aral. "A Causal Test of the Strength of Weak Ties." Science 377, no. 6612 (September 16, 2022).
- 2021
- Working Paper
Population Interference in Panel Experiments
By: Iavor I Bojinov, Kevin Wu Han and Guillaume Basse
The phenomenon of population interference, where a treatment assigned to one experimental unit affects another experimental unit's outcome, has received considerable attention in standard randomized experiments. The complications produced by population interference in... View Details
Bojinov, Iavor I., Kevin Wu Han, and Guillaume Basse. "Population Interference in Panel Experiments." Harvard Business School Working Paper, No. 21-100, March 2021.
- March–April 2020
- Article
Avoid the Pitfalls of A/B Testing
By: Iavor I. Bojinov, Guillaume Sait-Jacques and Martin Tingley
Online experiments measuring whether “A,” usually the current approach, is inferior to “B,” a proposed improvement, have become integral to the product-development cycle, especially at digital enterprises. But often firms make serious mistakes in conducting these... View Details
Keywords: A/B Testing; Experiment Design; Social Networks; Product Development; Performance Improvement; Measurement and Metrics; Social Media
Bojinov, Iavor I., Guillaume Sait-Jacques, and Martin Tingley. "Avoid the Pitfalls of A/B Testing." Harvard Business Review 98, no. 2 (March–April 2020): 48–53.
- 2013
- Book
Porte à porte: Reconquérir la démocratie sur le terrain
By: Guillaume Liégey, Arthur Muller and Vincent Pons
From January to May 2012, campaign activists supporting François Hollande knocked at five millions doors, making this door-to-door effort the largest in Europe to date. This project was formed by Guillaume Liégey, Arthur Muller, and Vincent Pons, who had met at the... View Details
Liégey, Guillaume, Arthur Muller, and Vincent Pons. Porte à porte: Reconquérir la démocratie sur le terrain. Calmann-Lévy, 2013, French ed.
- 2008
- Working Paper
Unraveling Yields Inefficient Matchings: Evidence from Post-season College Football Bowls
By: Guillaume R. Frechette, Alvin E. Roth and M. Utku Unver
Many markets have "unraveled" and experienced inefficient, early, dispersed transactions, and subsequently developed institutions to delay transaction timing. However, it has previously proved difficult to measure and identify the resulting efficiency gains. Prior to... View Details
Keywords: Games, Gaming, and Gambling; Television Entertainment; Market Timing; Market Transactions; Marketplace Matching; Sports Industry
Frechette, Guillaume R., Alvin E. Roth, and M. Utku Unver. "Unraveling Yields Inefficient Matchings: Evidence from Post-season College Football Bowls." Harvard Business School Working Paper, No. 09-010, July 2008.