Assistant Professor @UCLSoM
London, England
Joined June 2018
- Tweets120
- Following497
- Followers391
- Likes987
Adam Smith retweeted
Happy to share the latest version of my paper “Scalable Nonparametric Demand Estimation in Differentiated Product Markets” tinyurl.com/bdd3u999
Adam Smith retweeted
We have a beautiful literature on experiments with interference between units but what if there’s interference between experimenters? Estimands change and in a way we can understand and unpack. I hope you enjoy this one! 😊
Articles in Advance 09/24 (4 of 9)
"Parallel Experimentation and Competitive Interference on Online Advertising Platforms" by
Caio Waisman, Navdeep S. Sahni, Harikesh S. Nair, Xiliang Lin @CaioWaisman @N_sahni
pubsonline.informs.org/doi/1…
Adam Smith retweeted
🚨📜CALL FOR PAPERS 📜🚨
Send us your best work using non-standard data (e.g., unstructured data, clickstreams, data from genAI) to learn about consumer preferences.
More details below.
For people interested in this, we're organizing a conference on related topics (co-chaired with @malika_kor) next spring.
The conference will be held at the Chicago Booth School of Business on May 30-31, 2025, and will bring together scholars across fields who use Machine Learning, NLP, and other tools to extract valuable insights from new types of data, including:
• unstructured data
• clickstream data
• data generated by AI.
We invite both methodological and empirical submissions.
Submission Deadline: January 6, 2025
Submit here (PDF format): ndconference2025.hotcrp.com
We’re also thrilled to have @Susan_Athey and @econ_greg as keynote speakers.
Stay tuned for more details on registration, and feel free to share this with anyone who might be interested.
For more information visit: chicagobooth.edu/research/ki…
Adam Smith retweeted
I’m very happy to share a “new" working paper on the dynamic/learned complementarity that arises between different products. This is joint work with @adamnsmith__ and Max Pachali (@TilburgU) and its been really years in the making! 1/12
Adam Smith retweeted
ML/AL-based algorithmic pricing tools soften competition, according to Daniel Ershov of University College London. Catch an MSI #webinar of him discussing his work supporting this side of the debate July 30, 12-12:30: ow.ly/MYis50SIFLg #AI #ML #marketingresearch #marketing
Adam Smith retweeted
I wrote my first blog post, which is me quickly testing the value of combining two approximate demand estimation approaches that I like. Fun to write, but I can tell I have some work to do on blog-style writing. We'll see if there's ever a follow-up!
jamesbrandecon.com/blog/0jxk…
Adam Smith retweeted
🚨🚨 New working paper!!! 🚨🚨
Demand Estimation with Text and Image Data (together with @GioCompiani and Ilya Morozov)
papers.ssrn.com/sol3/papers.…
We propose a method to include product similarity measured using unstructured data into a demand estimation framework. 1/7
Adam Smith retweeted
Marketing & Analytics at @UCLSoM is hiring again this year! Come join our fantastic quant group for an awesome research environment, low teaching loads, panoramic views over LDN from Canary Wharf and great vibes! Apply here: apply.interfolio.com/127232
Adam Smith retweeted
Very cool paper showing how Zalando does demand forecasting at scale. This is the second recent paper I've seen describing how companies think about large-scale pricing systems, the other being Amazon's recent paper: assets.amazon.science/ba/f5/… 1/
Glad we can finally share this publicly: new paper on how @ZalandoTech uses deep-learning based forecasting for algorithmic pricing. A rare insight into how the machine learning is used to solve real-world problems. 🧵 1/
📃: bit.ly/3qrYZXj
Happy to have this out at QME! Regularization is important for large models and/or weakly informative data, and researchers stand to gain by thinking carefully about what estimates are shrunk towards. Using domain knowledge may be better than (arbitrary) zeros.
#QME ahead of print: "Shrinkage priors for high-dimensional demand estimation" by @adamnsmith__ and Jim Griffin
link.springer.com/article/10…
Adam Smith retweeted
TIL that Poisson misspelled Rev. Thomas Bayes' name throughout his work in the 1830s
The @UCLSoM marketing group is hiring! Can confirm the “swank location + good vibes.”
Come be my colleague in London! @UCLSoM Marketing & Analytics group is hiring (@ all ranks). As always, we're looking for quant folks. Low teaching + great research support + swank location + good vibes.
Apply here:
apply.interfolio.com/109773
RT & share! #marketingtwitter
Adam Smith retweeted
One of these names is not like the others... 🧐
Today is the last day to register and (among many exciting talks) see me present a brand new (!!??) project on influencing 3rd party design of pricing algorithms (joint w/ @e_lizlyons).
Last week to register to our workshop on "the Impact of AI on Economic Decision" in June 23-24 in Rennes w/ an amazing program, incl. talks by A. Pakes, S. Mullainathan, @m_sendhil @ershov_daniel,@maxkasy, @jannspiess. No fees but need to register at //swll.to/EED22 #EconTwitter
Great move to grow the QME community. The journal has a history of publishing high-impact papers worth reading and discussing. And the account is run by two of the best out there in @btshapir and @SeilerStephan.
Hello Twitter! This is the official account of Quantitative Marketing and Economics (springer.com/journal/11129).
The account will be run by the new QME Public Editors @btshapir & @SeilerStephan.
Please follow for summaries of new papers coming out in QME!
Adam Smith retweeted
Congratulations to #UCLSoM's Yiting Deng on being named one of the Best 40-Under-40 Business School Professors by @PoetsAndQuants. Yiting said: “I am extremely honoured & deeply grateful for the support from my amazing colleagues and students..." ow.ly/5WJV30sjQpv @ucl
ALT Headshot of Yiting Deng with the Poets&Quants logo
Adam Smith retweeted
Bayesians and Quasi-Bayesians rejoice!!
This Post is from an account that no longer exists. Learn more
Adam Smith retweeted
We've been comparing models based on how they *fit* for too long now! @adamnsmith__ and @SeilerStephan show us how to compare models based on how they *perform*.
👇Great summary of our paper —couldn’t have said it better myself!
🚨 Updated working paper 🚨
Optimal Price Targeting with @adamnsmith__ & @Iagg11
tinyurl.com/5n6r5u77
We show how to compare profits from targeted pricing policies derived from different models of demand (choice models, neural nets, random 🌲🌲🌲, ...) and data inputs.
Congrats to my friend @GioCompiani! Methods like this open the door to answering many empirical questions... 1/2
I develop a nonparametric estimator of multi-product demand that incorporates economic constraints in a computationally convenient way. In an application, being flexible matters for measuring market power and estimating tax pass-through. @GioCompiani qeconomics.org/ojs/index.php…
In a recent paper, Giovanni and I use this nonparametric demand estimation framework to measure costs of model misspecification (e.g. due to overly restrictive functional forms) in a multi-category CPG pricing setting. Details here: tinyurl.com/3jswvszs 2/2
