Avi Goldfarb
@avicgoldfarb
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Professor at Rotman, University of Toronto. Chief Data Scientist, Creative Destruction Lab. Author, Prediction Machines, Power and Prediction.
Toronto, Ontario
Joined May 2013
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PhD syllabus for introduction to quantitative marketing. 2021 version.
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Updated my quant marketing phd syllabus for 2023. New additions: neuroeconomics (
@webbr14
), digital (
@ReimersImke
/
@JWaldfogel
, Farronato/
@AndreyFradkin
,
@TesaryLin
,
@Prof_Yildirim
), data-driven decision making (
@marketsensei
/
@IsraeliAyelet
/
@eleafeit
).
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After years of research, two months until launch! Pre-orders now available for our new book “Power & Prediction: The Disruptive Economics of Artificial Intelligence”. Please take a few minutes today if you plan to buy. . Thank you!
@joshgans
@professor_ajay
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PhD syllabus for my introduction to quantitative marketing course. 2022 version. Comments welcome.
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NBER Economics of AI conference will be virtual this year. Submission deadline is May 31. Conference Sept. 24-25. .
@nberpubs
.
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Tell your doctoral students: NBER Doctoral Student Workshop on the Economics of AI, held virtually on September 22. Applications due Monday May 31.
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Tell your grad students! NBER Digital Economics & AI PhD workshop, Sept 21 in Toronto. Applications due July 24.
@nberpubs
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Share with your PhD students: Call for Applications: Graduate Students Interested in Economics of AI — Economics of AI
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NBER AI Conference call for papers. September 22 in Toronto. Deadline July 24. Send us your best work!
@nberpubs
. Organized with
@ce_tucker
@professor_ajay
@joshgans
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Call for papers: NBER Economics of Artificial Intelligence Conference in September 2022. Details here:
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NBER Digitization Tutorial. March 30-31 in Washington DC. Tell your PhD students to apply!
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Video from NBER AI conference is now up.
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Could machine learning be a General Purpose Technology? Our new paper in Research Policy. With
@florentaT
@Bledi_Taska
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Share with your PhD students: NBER Digitization (virtual) PhD workshop, March 17-18. Applications due November 16.
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Do we want less automation? In a new article in
@ScienceMagazine
, Ajay, Joshua, and I argue that AI automation may reverse the skill-biased technical change of the past few decades. And a focus on human augmentation may increase inequality.
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Thrilled that Prediction Machines appears on the Economist's five best books to understand AI. Also includes a nice plug for the research behind our forthcoming book "Power and Prediction".
@professor_ajay
@joshgans
In recent years artificial intelligence has undergone a revolution. Our deputy executive editor suggests what to read to get you up to speed
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Collusion by Algorithm is harder than is seems.
@ce_tucker
and Jeanine Miklos-Thal show that better prediction increases temptations to deviate for colluding firms.
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The Financial Times recommends Power & Prediction as "what to read this month". In their words, this "thought-provoking book sketches out how this new economic revolution might unfold."
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Congrats to Wei Lu on a fantastic dissertation!
Really excited to share the news that I passed my PhD dissertation defense today!!! Fortunate to work under
@avicgoldfarb
’s supervision at
@rotmanschool
! Looking forward to the future journey
@Baruch_Zicklin
:)
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Tell your grad students: NBER Tutorial on the Economics of Privacy. Applications due July 31.
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Forthcoming paper in Management Science: Quantum Economic Advantage. We build a formal economic model to examine when a quantum computer would be commercially viable, even if quantum advantage proves elusive. with
@rgmelko
and Francesco Bova.
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Know recent or soon-to-graduate PhDs interested in research at the intersection of economics and quantum? I'm looking for a postdoc. Either economics or quantum computing background.
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Economics & Management PhD students, consider applying to
@nberpubs
Digitization Tutorial, at Stanford March 4 & 5. Deadline November 11.
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Hey
#quantmarketingtwitter
. I'm about to update my Intro to quant marketing PhD syllabus. What are the most important new ideas in the quant marketing literature from 2022? Old syllabus here:
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Vilma Todri's paper on ad blockers. It shows that consumers with ad blockers try fewer new brands. In this way, it answers the classic economics of ads question of whether advertising is informative.
@vtodri
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Economics of Digitization PhD Tutorial applications due November 11. I'm thrilled about this year's lineup:
@judy_chevalier
,
@Susan_Athey
,
@erikbryn
, & Amalia Miller.
@nberpubs
. Apply here:
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PhD Workshop for (VIrtual) NBER Economics of AI program. Applications due June 1. Let your students know! Date: Sept 23. Information here:
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Here are some ideas I saw for the first time at the NBER AI conference in Toronto.
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Ever tweet about your airline? Forthcoming paper with
@joshgans
@maralederman
applies Albert Hirschman's Exit Voice and Loyalty to the airline industry. Tweets as relational contracts.
Forthcoming in AEJ: Microeconomics: "Exit, Tweets, and Loyalty" by Joshua S. Gans, Avi Goldfarb, and Mara Lederman.
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Consumer protection & Marketing Science. Proud to have edited a new special issue with Ginger Jin and
@ksudhir1
. Joint project
@FTC
&
@MarketngScience
.
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ML for finding lead pipes. BlueConduit, co-founded by
@MichiganRoss
marketing prof
@ericschw
, named as one of the best inventions of 2021.
BlueConduit: The 100 Best Inventions of 2021
Find out why BlueConduit made this year's list
time.com
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One week until launch! The Power and Prediction book tour continues in Seattle. Visited
@creativedlab
Seattle yesterday and the
@business_econ
NABE-TEC conference today. Uber tomorrow then home!
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Ajay, Joshua, and I will teach a short executive program for senior leadership to develop their AI strategy. Sept. 19-20 in Toronto. An innovative joint effort between Rotman Executive Programs and the Creative Destruction Lab.
@rotmanschool
@creativedlab
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Algorithms can learn to collude.
Can't contain my excitement - our Algo Collusion paper has been cleared for publication on the American Economic Review. Special thanks to the
#NBERAI
folks (
@joshgans
@professor_ajay
@avicgoldfarb
@ce_tucker
) and to
@jcremer
for getting us funds early on :)
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Just out yesterday: Exit, Tweets, and Loyalty. "We use data on 4 million tweets to or about US airlines to study the relationship between quality, voice, and market structure."
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Why Artificial Intelligence Increases the Importance of Humans in War. A thread on a paper released today in
@Journal_IS
with political scientist
@jonrlindsay
.
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PhD Student Workshop in the Economics of Digitization. March 21-23 at Stanford. Application deadline Nov. 16. Speakers: Matthew Gentzkow, Dina Mayzlin, Shane Greenstein, Joel Waldfogel. .
@dmayzlin
@JWaldfogel
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Thinking of writing a privacy paper?
@nberpubs
Economics of Privacy Conference. Abstracts due in December.
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Submit your Economics of AI work. Applications due today!
NBER AI Conference call for papers. September 22 in Toronto. Deadline July 24. Send us your best work!
@nberpubs
. Organized with
@ce_tucker
@professor_ajay
@joshgans
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Call for papers: The 2021 NBER Economics of AI conference submission deadline is May 31.
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Symposium on automation and employment in the Journal of Economic Perspectives, with paper by me,
@joshgans
, &
@professor_ajay
.
@AEAjournals
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How might AI improve fairness in refugee claims? Paper just out in The Journal of Refugee Studies with
@LeahElizMorris
and Hilary Evans Cameron 1/9
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Happy this data is now open. We found Twitter data to be a fantastic resource for understanding Hirschman's idea of "voice"
Academics are one of the biggest groups using the
#TwitterAPI
to research what’s happening. Their work helps make the world (& Twitter) a better place, and now more than ever, we must enable more of it.
Introducing 🥁 the Academic Research product track!
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NBER Economics of Digitization PhD Tutorial. Applications due next week!
Tell your PhD students. NBER Economics of Digitization Tutorial. March 1 and 2. Near SFO. Applications due January 5.
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Tell your PhD students. NBER Economics of Digitization Tutorial. March 1 and 2. Near SFO. Applications due January 5.
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We're hiring! Two assistant professor positions in marketing at Rotman. Details here:
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Important paper showing links between econometric estimation techniques and ML. Now published in The Econometrics Journal.
Students often "accept" AI/ML (with the zeal of the convert, forgetting everything from econometrics), while some professors just "reject" it as irrelevant. Here's the third way:
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2020 NBER Conference on the Economics of AI — Submission deadline June 1.
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Italian edition of Prediction Machines arrived! “Macchine Predittive”
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The second economics of quantum information technology conference will take place in October 2024. Deadline May 30. Now is a good time to get going on that paper!
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Analytics dashboards are valuable! At least for businesses that use them (rather than build and ignore). Great new paper in
@MarketngScience
Companies invest a lot in analytics - but are these investments valuable?
@IsraeliAyelet
and I studied ~1,500 online retailers and found that using a descriptive dashboard increased their weekly revenues by 4%-10%.
>>
#MarTech
#BigData
#Analytics
#ecommerce
#DataScience
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Economic Policy for Artificial Intelligence. A summary of policy insights from the 2017 NBER Conference on the Economics of AI in Toronto.
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NBER Digitization Tutorial deadline tomorrow (Jan. 10). Covering data and innovation, platforms, digital policy, etc.
NBER Digitization Tutorial. March 30-31 in Washington DC. Tell your PhD students to apply!
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A thoughtful summary of the excellent papers from day 1 of the economics of AI conference.
A really fun & thought-provoking past 2 days at the
@nberpubs
Economics of AI conference
Kudos to
@avicgoldfarb
@joshgans
@professor_ajay
&
@ce_tucker
for designing such an innovative virtual conference - it was *almost* as if it wasn't virtual
Some key learnings from Day 1:
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We've now launched a CDL at University of Washington! That's 10 sites around the world.
CDL launches its 10th global location in partnership with
@UW
and
@UWFosterSchool
in Seattle.
#CDLSeattle
's focus on computational health is well suited to the strengths of UW and of the region in terms of computing, medicine, and life sciences.
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Less than a month to go: Call for Papers: 2019 NBER Economics of AI Conference — Economics of AI
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System solutions with ChatGPT.
@professor_ajay
,
@joshgans
, and I interpret the advances from
@OpenAI
through the lens of our new book Power & Prediction.
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October conference announcement:
@MarketngScience
and
@FTC
are co-organizing our 2nd conference on Marketing and Consumer Protection. Submission deadline July 31.
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Great day at
#SummitOnAI2022
at U Chicago. Talking about Prediction & Power and learning from scholars across comp sci, English, philosophy, etc. Just one month until launch day!
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Message to the
@creativedlab
community on the terrorist attacks in Israel, quoting
@JustinTrudeau
,
@fordnation
, and
@MayorOliviaChow
.
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Enjoyed speaking to the CTO Forum about Power & Prediction in SF. Thanks to Badger Janjua for the invitation!
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We have launched a new program at the CDL for science-based solutions to public health and economic recovery challenges from COVID-19. Accepting applications now. Please share with your networks.
CDL launches Rapid Response Innovation Program:
#CDLRecovery
.
CDL Recovery will rapidly transform technological innovations into useful products & services that address public health and economic recovery challenges created by the global COVID-19 crisis.
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Publication day! Why not pick up a copy?
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Fantastic conference that emphasizes the importance of formalizing behavioral models to get economic insight. Send your papers!
Call for Papers to Behavioral IO and Marketing Symposium
Submission deadline: February 15
Conference: May 19-20
Committee: Wilfred Amaldoss, Tony Cui,
@alinaferecatu
,
@AvnerShlain
and
@yesimorhun
More details at:
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Digital economics. New review paper by
@ce_tucker
& me describing 2 decades of research on ICT & the economy paywall
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Great readings for my marketing PhD course on branding, sales, search, policy, etc (and my chapter w Catherine Tucker on digital marketing). Handbook of the Economics of Marketing - 1st Edition
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Our book "Prediction Machines launches" tomorrow. Today is a great day to buy!
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General Purpose Technologies drive long term economic growth. We find that ML/AI has many of the characteristics of a GPT, as laid out in Bresnahan & Trajtenberg.
A study using job posting data finds that, compared to other technologies, machine learning is relatively likely to be a general purpose technology, from
@avicgoldfarb
,
@Bledi_Taska
, and Florenta Teodoridis
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The Creative Destruction Lab and rapid testing.
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Great “fireside” keynote talk at the REER conference at Georgia Tech. Thanks Alex Oettl & Peter Thompson for hosting, and Jino Lu for the picture!
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An excellent thoughtful summary of the NBER Economics of AI conference by
@JMateosGarcia
@nberpubs
@nesta_uk
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Come work with us! We're hiring a staff scientist to lead a research team on AI, entrepreneurial strategy, and the commercialization of science.
@acceleration_c
@joshgans
@professor_ajay
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Less than two weeks until our AI executive program begins! Details below.
We've partnered with
@rotmanschool
to create AI Strategy for Executives: a hands-on workshop for senior leadership who need to understand how to design business strategies that utilize AI with
@professor_ajay
@avicgoldfarb
@joshgans
. Apply today!
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Pay how you drive insurance reduces fatal car crashes, without generating a lasting first-mover advantage. Important new paper by
@ReimersImke
& Ben Shiller.
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Artificial intelligence as a general purpose technology for innovation. Foundational paper by Iain Cockburn, Rebecca Henderson, and
@sstern_mit
.
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From Prediction to Transformation. Ideas from our new book in HBR.
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Measuring online ad effectiveness requires randomized experiments. Systematic new evidence for what goes wrong in observational studies
@MarketngScience
.
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@johnjhorton
@TMoldwin
@darkpatterns
Yes. That’s exactly what we anticipated. Regulation that shuts down targeting will make obtrusive advertising more likely.
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Human judgment in the deployment of generative models.
Artificial intelligence is based around prediction. But decision-making requires both prediction and judgment.
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Combinatorics machines? Potential applications of quantum computing.
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Our book "Prediction Machines: The Simple Economics of Artificial Intelligence" is now available for pre-order: .
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How might AI affect jobs? Examples of automating predictions or automating decisions.
@nberpubs
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How AI could change strategy: A thought experiment. My newest with
@joshgans
and Ajay Agrawal.
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Quantum computing as a drop in the cost of combinatorics. Our paper on why that matters and early commercial applications. With Francesco Bova and
@rgmelko
. .
@creativedlab
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