Sitemap - 2024 - Scott's Substack
The Pinocchio Effect, Economies of Scale and Market Concentration in AI
S3E15: Peter Boettke, Austrian Economics, George Mason University
The 2018 Farm Bill Apparently Legalized THC
S3E14: Jesse Rothstein, Labor Economist, UC Berkeley
CAREER is a Transformer Model Used to Predict Occupational Outcomes
Introducing "Design-Based Regression Inference" Workshop Taught by Peter Hull
S3E13: Martin Gaynor, Health Economist, Carnegie Mellon/DOJ
ChatGPT Can Predict the Future When it Tells Stories Set in the Future About the Past
Mental health needs among inmates and self harm attempts — my new paper just out in JHR
S3E12: Daniel Chen, Political Economy, Toulouse
S3E11: Peter Klein, Entrepreneurship, Baylor
Mixtape Sessions: Past, Present and Future (maybe)
S3E10: Richard Blundell, Labor Economist, University of College London
[Reposting S1E14]: Interview with Petra Todd, Econometrician, University of Pennsylvania
Triple differences part 5: Presenting the event study plots
Another workshop announcement, heading to Houston and desiring a tribe
[Reposting] S1E27: Interview with Kyle Kretschman, head of economics at Spotify
Workshop announcement and getting back on track
Saturday links: Europe edition
Was Neyman's 1923 Potential Outcomes Notation Originally for Continuous Treatments?
S3E9: Pierre Chiappori, Micro Theorist, Columbia University
Generative AI and Worker Productivity
S3E8: Marianne Bitler, Public Economist, UC Davis
Last plug for Demand Estimation Workshop
Another workshop announcement: diff-in-diff
Workshop announcement: Difference-in-differences (Causal 2)
Workshop announcement: DEMAND ESTIMATION
S3E7: Wilbert van der Klaauw, Research Economist, NY Federal Reserve
Mixtape Mailbag #10: Letters from and to a Reader Contemplating Dropping Out of Their PhD Program
Decomposing TWFE in a Continuous Diff-in-Diff: Part 1
Brief mention of continuous diff in diff
S3E6: Bruce Hansen, Econometrician, Univ of Wisconsin
Mixtape Mailbag #9: Log Transformations in Diff-in-Diff with Continuous Treatments
S3E5: Chris Taber, Labor Economist, Wisconsin
Mixtape Mailbag #8: Continuous Triple Differences
Using ChatGPT-4 for a new price discriminating hurdle for my workshops
Difference-in-Differences: No Anticipation with Parallel Trends (with a simulation and equations)
S3E4: Andrew Baker, Professor, UC Berkeley Law
Workshop announcement: Causal Inference 1
Workshop announcement: $95 price for non-tenure track or professors with higher teaching loads
S3E3: Carlos Cinelli, Statistician, University of Washington
Labor's Design and the Making of Good Music
Redesigning my Causal Inference Class and a Sharing of my Worldview
S3E2: Caitlin Myers, Labor Economist, Middlebury College
Mixtape Mailbag #6: Redefining a diff-in-diff problem as a SUTVA violation
Using ChatGPT-4 to Decorate My Living Room
Workshop announcement: Causal I
Scientific Accuracy and Readability
Workshop announcement: demand estimation
S3E1: Richard Freeman, Labor Economist, Harvard
Saturday morning weekly roundup