Sitemap - 2023 - Scott's Substack
Saturday morning roundup of links
Peter Hull’s Design workshop spring 2024
Triple differences part 4: the simulation
Triple difference part 3: triple differences is a design, not a falsification
S2E44: Cristine Pinto, Econometrician, Inspir in Brazil
Mixtape Mailbag #4: Matrix Completion, diff-in-diff or synthetic control?
Mixtape Mailbag #3: How Might DAGs Win Hearts and Minds in Program Evaluation?
Causal Inference: the Mixtape, the new unconfoundedness chapter (Taylor's version)
Lies, Damn Lies and OLS Weights Part 5
S2E42: Interview with Jinyong Hahn, Econometrician, UCLA
Closing my tabs weekly roundup
Lies, Damn Lies and OLS Weights Part 4
The Unconventional Path of Causal Inference in Economics
S2E41: Tymon Słocyński, Econometrician, Brandeis University
The Mixtape Mailbag #1: First week of December
My new weekly substack schedule
Closing my tabs weekly roundup
Deciphering the ATE in LaLonde's Non-Experimental NSW Sample using a Simple Decomposition Method
Arkhangelsky and Imbens review causal panel methods
A Brief Sketch of Bob Lalonde and his job market paper
[RERUN PODCAST]: Interview with Guido Imbens, Econometrician, 2021 Winner of the Nobel Prize
Announcing "The Mixtape Mailbag"
Lies, Damn Lies and OLS Weights Part III
Personal thoughts and links for Thanksgiving
ChatGPT-4 speculates about what happened to OpenAI this weekend
S2E40: Avi Goldfarb, Economist, University of Toronto
Lies, Damn Lies and OLS Weights Part II
Closing out the tabs in my browser
More evidence of ChatGPT Disrupting Labor Markets
Lies, Damn Lies and OLS Weights: Part I
S2E39: Adam Smith, Economist, Glasgow University
Weekend ChatGPT and AI roundup
Postscript: Third Wave of Diff-in-Diff
The First and Second Waves of Difference-in-Differences
S2E38: Andreu Mas-Colell, Micro Theorist, Professor at Pompeu Fabra University
The Mixtape with Scott: "Classical Economists" series
S2E37: Casey Mulligan, Professor of Economics, University of Chicago
Reflections on last week, next weeks’ workshops, some ChatGPT links and my cats
S2E36: Sascha Becker, Economic Historian, Monash University
Doing Applied Research Workshop
S2E35: Andrew Goodman-Bacon, Senior Economist, Federal Reserve
Brant Callaway on Mixtape Sessions and Dall-E 3 images
S2E34: Melanie Guldi, Health Economist, Professor, University of Central Florida
Diff-in-diff workshops, the story of synth, and introducing synthetic diff-in-diff
ChatGPT-4 and Bing Predict 2023 Winners of Nobel Prize in Economics
Using ChatGPT-4 to Prepare for Exams
ChatGPT-4, Therapy and Plans for the next chapter
S2E33: Jonah Gelbach, Law Professor and Economist, Berkeley
Decorative Gourds and Dr. Rocío Titiunik Workshop on RDD
S2E32: Amy Finkelstein, John Bates Clark Award Winner, Health Economist, MIT
Some ChatGPT Links You May To Read
Updates with links and video clips
S2E31: Nick Cox, Geographer, Stata Part 2
S2E30: Dr. John Cawley, Health Economist, Becker's Student, Cornell Professor
ChatGPT and Stories: Another Podcast Interview I Did With Adam Smith
S2E29: Dr. Nick Cox, Durham, Geographer, Stata (Part 1)
Sunk costs, Sunk benefits and a causal inference workshop
Rounding up a ton of papers on ChatGPT
Some updates on fall workshops
My new syllabus for my new class on the economics of chatgpt
S2E27: Interview with Ariel Pakes, Professor and Economist, Harvard University
S2E10: Interview with Jon Roth, Economics Professor at Brown, Econometrician
Advanced Diff in Diff workshop by Jon Roth
S2E26: Interview with Gábor Békés, International Economist and Author at CEU
Neyman causal model or Rubin causal model?
Planning next summer, or “who is going to watch my cats?”
Difference-in-differences, Average Treatment Effects and the Importance of Mechanisms: Part 2
New Fall Workshops and a Change in Policy
Difference-in-differences, Average Treatment Effects and the Importance of Mechanisms: Part 1
S2E25: Interview with Jonathan Meer, Labor and Public Economist, Texas A&M
E2S24: Interview with Joe Price, Labor Economist, Brigham Young University
E2S23: Interview with Miles Kimball, Professor and Economist
S2E20: Interview with Marina Della Giusta, Labor Economist and Professor
Paying it Forward with Mixtape Fellows
S2E19: George Selgin, Economic Historian and Monetary Economist
Nonlinearities: Nearest Neighbor Matching Using Distance Minimization vs Saturated Regression
Has Diff in Diff Lowered the Price on Synth?
S2E18: Interview with Steve Pischke, Labor Economist and Professor at LSE
Outline of my upcoming Microsoft keynote
S2E17: Interview with Elizabeth Stuart, Biostatistician and Professor at Johns Hopkins University
European Travels, Suicidality and Mental Illness in Jails, Workshop announcement
S2E16: Interview with Jason Furman, Economist and Professor, Harvard University
Summer Causal Inference 1 and 2 Workshops
Did Facebook Hurt Our Mental Health? Probably
S2E15: Interview with Derek Neal, Labor Economist and Professor
Last Two Mixtape Sessions Workshops for Spring 2023
We need to bring “ignorable treatment assignment” back it into our vocabulary
S2E14: Interview with Rocío Titiunik, Political Scientist and Quantitative Methodologist
S2E13: Interview with Mike Jay, Historian of Medicine and Author
Supercharge Your Applied Economics Research: An Intensive Workshop with Mark Anderson and Dan Rees
ATT Estimation using Regression and Matching with Heterogeneous Treatment Effects
Alberto Abadie workshop on Synthetic control and clustering
S2E12: Interview with Alberto Abadie, MIT Econometrician and Professor
Overcoming Our Miseducation Through Workshops and Mentoring with Dan Rees and Mark Anderson
S2E10: Interview with Jon Roth, Economics Professor at Brown, Econometrician
Act II: Horse Tracks and Horse Races
Podcast Interview with GPT4's Adam Smith
Advanced diff-in-diff workshop by Jon Roth
Act I: Matching vs Regression: In Defense of the ATT
S2E9: Interview with Joseph Doyle, Economist, MIT Professor
S2E8: Interview with Paul Oyer, Labor Economist, Stanford and Author
GPT4 Explains Econometrics: “: A Pioneering Force in the Evolution of Econometrics”
GPT-4 Explains Econometrics (a new series): Estimating Demand with BLP
S2E7: Interview with Mike Luca, Economist and Professor, Harvard
GPT Prompts are where we will find the next jump shot
GPT and the Economics of Cognitively Costly Writing Tasks
I asked GPT-4 to write three exam questions for a causal inference class, and then take it
S2E6: Interview with Pedro Sant’Anna, Professor, Economist and Econometrician
Mixtape Sessions Workshop Announcement: Causal Inference II
Inexact Matching using Minimized Distance Metrics
S2E5: Interview with Hide Ichimura, Professor of Economics and Econometrician
S2E4: Interview with Clair Brown, Author of Buddhist Economics and Labor Economist
Which variables do I need to control for?
S2E3: Interview with Beatrice Cherrier, International Treasure, Historian of Economic Thought
"Machine Learning and Causal Inference" by Brigham Frandsen (Feb 23-24, 2023)
S2E2: Interview with Dan Hamermesh, Professor Emeritus, Labor Economist
A Little Matching Never Hurt Anyone (Maybe)
S2:E1 Interview with Jeff Wooldridge, Economist and Econometrician
My first assignment for causal inference is a personal essay
Final Part 3: A Selected History of Quantitative Causal Inference
Part 2: A Selected History of Quantitative Causal Inference
Part 1: A Selected History of Quantitative Causal Inference
Hang with me -- I'm going to update this substack and podcast very soon