Causal Inference & ML
World of DaaS podcast. How she 'invented' the Tech Economist role at Microsoft. The difference between prediction and 'what if' questions.
Stanford GSB Fireside Chat on the intersection of economics and artificial intelligence.
UC Berkeley / ex-eBay. Deep dive into causal inference methods used in tech companies.
Former Lyft/Facebook DS lead. This talk saves you from over-engineering. Know when correlation is enough.
MIT. The foundational Double ML methodology for high-dimensional causal inference. BFI presentation with accompanying DoubleML package.
Career journey from academia to pioneering the tech economist role at Microsoft. With Scott Cunningham.
Lucy D'Agostino McGowan & Ellie Murray. Highly technical discussions on A/B testing, DAGs, and causal methods.
Causal inference and tech economist careers. Features Susan Athey, Michael Luca, John List.
Senior data scientist with causal inference expertise. Practical tutorials on synthetic controls, event studies, Marketing Mix Models (Google Meridian), and data science career advice.
Causal Python channel. Deep-dive interviews on causal inference and causal AI with leading researchers: Judea Pearl, Julia Rohrer, Amit Sharma (DoWhy), Thomas Wiecki (PyMC).
Regular international causal inference research seminar. Features Susan Athey on Synthetic DiD, Jakob Runge on Tigramite, and leading researchers on cutting-edge methods.
Interviews with scientists on cutting-edge business solutions. Guests include Matheus Facure (causal inference in fintech) and Vincent Martin (Meta) on economist-engineers.
Comprehensive causal inference video course. 16K subscribers. Guest lectures from Susan Athey, Alberto Abadie (Synthetic Controls), and Yoshua Bengio.
Aalto University. BDA course lectures covering MCMC, HMC, model comparison, cross-validation (PSIS-LOO), and practical Bayesian workflow.
National Bureau of Economic Research. Methods lectures on causal inference (synthetic controls, RDD, DiD), Feldstein Lectures featuring Ben Bernanke, Gita Gopinath, and more.
American Economic Association. Includes Athey-Imbens ML and Econometrics course, plus sessions on LLMs for economics.
Strategy & Digital Platforms
AEA Research Highlights. Why companies like Airbnb need economists to solve marketplace design problems.
NBER lecture on how AI is transforming economic research and industry applications.
Keystone interview. How Amazon's Chief Economist built tech-economics from scratch with 400+ PhD economists.
Data as labor, quadratic voting, and mechanism design for platforms. Bridging theory and practice.
Deep dive into pricing on both sides of platforms and the economics of 'free' services.
Russ Roberts. The gold standard for long-form economic interviews. John List, Hal Varian, and more.
Economics applied to everything. Great for economic intuition and learning to communicate data insights.
Tyler Cowen's long-form interviews. Tech economics episodes with Hal Varian, Marc Andreessen, and more.
Market Design & Auctions
AEI podcast. The 'Adam Smith of Googlenomics' on auction design and why productivity metrics fail in the digital age.
Room for Discussion. Why every company needs a chief economist for forecasting, pricing, and market design.
CEPR interview on search economics, ad auctions, and forecasting with Google Trends.
How ride-sharing platforms design markets for drivers and riders. Insights from Uber and Lyft.
Chief Economist at Yahoo, Google, Microsoft. Golden Goose Award winner. Deep interview on auction theory, ad markets, and mechanism design.
Design the mechanism, don't just bid in it. RegretNet and deep learning for auction design.
Microsoft Research. How to design revenue-maximizing auctions using duality — simple auctions, budget smoothing, and optimal mechanisms.
Episode 69. Google's shift from second-price to first-price auctions, quality scores, price discrimination, and nowcasting.
Nobel laureate on matching markets. Directly applicable to marketplace platforms.
Data Science Tech Lead at Topsort, former Yandex. 7+ years building VCG auctions, ML for click prediction, and revenue optimization for search ads.
Preston McAfee, Ramesh Johari, and others. Recorded talks on pricing, experimentation, and mechanism design in two-sided markets.
Experimentation & Scaling
EconTalk. Former Chief Economist at Uber and Lyft shares war stories on field experiments and driver incentives.
How to scale ideas at Uber, Lyft, and Walmart. Why most interventions fail when you try to grow them.
Causal Inference Podcast. A rare look at a working tech economist role — running experimentation teams at a streaming giant.
The godfather of online experimentation. Decades of A/B testing wisdom from Microsoft and Amazon.
Roger Peng and Hilary Parker on data science in the real world. Great for understanding the craft.
Talks from Meta, Google, Airbnb, Netflix economists on A/B testing at scale and experimentation platforms.
Nobel Lectures
Stanford, Nobel Laureate. The authoritative overview connecting the credibility revolution to modern instrumental variables and regression discontinuity.
Co-founder of two-sided market theory. Explains platform pricing and why traditional antitrust fails for digital markets.
Auction Research Evolving. Traces development from theoretical foundations through FCC spectrum auctions to internet advertising.
Market design and matching markets. Directly relevant for economists at Airbnb, Uber, and similar platforms.
AI Economics & Labor
Stanford Digital Economy Lab. HBS Managing the Future of Work on J-curve of AI productivity and 14-35% productivity gains from AI.
Second Machine Age thesis. Which jobs are safe from automation and dangers of the Turing Trap.
Social Science Bites podcast. When technology benefits workers vs. replaces them.
MIT, NBER Co-Director. Fed SF presentation arguing AI's key risk is 'devaluation of expertise' rather than job loss.
MIT. Journey from behavioral economics to AI, algorithmic bias mitigation.
2024 three-part series on algorithms enhancing human capacity.
Freakonomics. Jonathan Hall (Uber), Rebecca Diamond, John List. 1M+ drivers: 7% gap explained by experience and speed.
Bill Kerr, Joe Fuller. Erik Brynjolfsson on AI, gig economy series, and future of employment.
NBER conference recordings on artificial intelligence and economics. Research presentations on AI labor markets, productivity, and automation.
Pricing & Behavioral
NPR Hidden Brain. Uber economist on surge pricing psychology: users accept 2.1x surge more than 2.0x, low battery increases acceptance.
Freakonomics with Steven Levitt. Demand elasticity of -0.6 to -0.7 from 54M user sessions.
Antitrust & Competition
Yale, former DOJ Chief Economist. C-SPAN congressional testimony and Digital Markets Act analysis.
Columbia, former Biden Administration. Brookings TechTank on platform extraction and antitrust history.
NBER 2022 keynote on why traditional antitrust fails for digital platforms and the EU Digital Markets Act.
Luigi Zingales, Stigler Center. Premier series on tech competition featuring Lina Khan, Carl Shapiro, Tim Wu.
Full YouTube archives. FTC Chair Lina Khan keynotes, Stigler Committee Report on digital platforms.