Yeşim Orhun (@yesimorhun) profile picture

Professor of Marketing @UMich (views own) Beliefs, Information, Inequality.

Ann Arbor, MI
Joined December 2010
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At Princeton's holiday party in 2023, I recorded a version of "Sheena is a Punk Rocker" with the lyrics changed to "Kate Ho is the Best Advisor." I still feel that way. I couldn't have asked for a better advisor. I can't believe she's gone.
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📣 CALL FOR PAPERS 📣 - please share widely The Behavioral IO and Marketing Symposium (biomsymposium.org) will be held on May 7-8, 2026 at the University of Michigan’s Ross School of Business. This conference provides an opportunity for IO and Quantitative Marketing researchers working on behavioral economics topics to interact with each other. Researchers interested in presenting at the conference are invited to send their paper submissions to [email protected] by December 15, 2025. Organizers: Michael Grubb (@MichaelDGrubb), Andreas Kraft (@KraftA21) , Matthew Osborne (@MattOsborneEcon) , Yeşim Orhun (@yesimorhun) Scientific Committee: Wilfred Amaldoss, Kwabena Donkor (@KwabenaDonkor), Avi Goldfarb (@avicgoldfarb) , George Gui (@GeorgeZhidaGui), David Huffman, Joonhwi Joo, Peter Landry, Olivia Natan, Amit Pazgal, Navdeep Sahni, Ryan Webb, Kevin R Williams, Miguel Villas-Boas, Zachary Zhong.
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BREAKING NEWS The Royal Swedish Academy of Sciences has decided to award the 2024 Sveriges Riksbank Prize in Economic Sciences in Memory of Alfred Nobel to Daron Acemoglu, Simon Johnson and James A. Robinson “for studies of how institutions are formed and affect prosperity.” #NobelPrize
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New conference! chicagobooth.edu/Home/Resear… (Awesome to see @malika_kor as one of the organizers)
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Interested in presenting? Submit your paper to [email protected] by Dec. 15, 2024. Details here: biomsymposium.org/ Organizers: @alinaferecatu, Avner Strulov-Shlain, and @yesimorhun .
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The Behavioral IO and Marketing Symposium will be held on May 15-16, 2025 at the University of Michigan’s Ross School of Business. This conference provides opportunities for IO and Quantitative Marketing researchers working on behavioral economics topics to interact.
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Using data from Germany and Sweden to study the trade-off that many couples face between advancing one spouse's career or the other's, from @seema_econ, Lea Nassal, @profnoto, Marie Paul, Heather Sarsons, and Elin Sundberg nber.org/papers/w32970
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Due to information-processing constraints, the elasticity of people's decisions with respect to economic fundamentals is generally too small, from @BenjaminEnke, Thomas Graeber, Ryan Oprea, and Jeffrey Yang nber.org/papers/w32973
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An experimental analysis of selective disclosure in communication, from Agata Farina, Guillaume Fréchette, Alessandro Ispano, Alessandro Lizzeri, and Jacopo Perego nber.org/papers/w32975
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Generalized monotonicity conditions in instrumental variable models give no additional identifying power beyond instrument exogeneity for average potential outcomes and treatment effects in multi-valued settings, from Bai, Huang, Moon, Shaikh, and Vytlacil nber.org/papers/w32983
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Nonparametric estimates of brand loyalty and psychological switching costs are large and explain repeat-purchase behavior. Consumers are forward-looking and anticipate lock-in, from Xinyao Kong, Jean-Pierre H. Dubé, and Øystein Daljord nber.org/papers/w32994
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Lots to unpack here
I think the most commonly used treatment effect estimators when treatment, D, is unconfounded conditional on X, are the following: 1. Regression adjustment. 2. Inverse probability (propensity score) weighting. 3. Augmented IPW. 4. IPWRA 5. Covariate matching. 6. PS matching.
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Reposting this again. Note the September 30 date, after which our group will start reviewing applications.
The Behavioral Science group at @Chicagobooth is hiring!! apply.interfolio.com/145321
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I am looking for a part-time RA to work on economics and marketing-related projects at Chicago Booth. Apply by October 30th. Details here: chicagobooth.edu/-/media/fac…
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How many consumers should a campaign reach or what budget should be set? @CaioWaisman and I present a method for these *intensive margin* ad decisions. 📜"Multi-cell experiments for marginal treatment effect estimation of digital ads", soon at MngSci. arxiv.org/abs/2302.13857
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1st paper @NYUSternEcon IO Day identifies a new externality when platforms act as data intermediaries between consumers & merchants. Counterintuitive result that consumers can have lower payoffs when platform cares more about consumers and withholds data from merchants.
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