Scott's Substack

Scott's Substack focuses on causal inference, featuring workshops, methodological discussions, applications in economics, and practical examples using AI and programming. It blends academic insights with personal perspectives, including reviews and recommendations on unrelated topics, aimed at both scholars and enthusiasts interested in deepening their understanding of causal analysis.

Causal Inference Economic Theory Academic Workshops Artificial Intelligence Programming Data Analysis Academic Writing Recommendations and Reviews

The hottest Substack posts of Scott's Substack

And their main takeaways

Workshop announcement: demand estimation

904 implied HN points • 10 Jan 24
🚌 Education Workshops Econometrics Learning
  1. Upcoming workshop in late February and early March on demand estimation by Ariel Pakes and Jeff Gortmaker.
  2. The workshop will cover demand estimation methods in applied microeconomics and bridge between reduced-form and structural frameworks.
  3. Attendees will get hands-on experience with practical exercises and training using a python package for estimating demand.

Using ChatGPT-4 to Decorate My Living Room

825 implied HN points • 13 Jan 24
🪑 Design Interior design Furniture Color Theory
  1. Embraced the help of ChatGPT-4 for designing the living area and getting advice on furniture placements.
  2. Received suggestions from the AI on optimizing the space, enhancing lighting, and creating a cohesive design.
  3. Utilized existing furniture like sofas and chairs to create a functional and balanced layout for the room.
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Labor's Design and the Making of Good Music

687 implied HN points • 18 Jan 24
🔬 Science Causal Inference Music
  1. The paper discusses the importance of 'design' in addressing selection bias in causal inference.
  2. Design focuses on understanding the mechanisms behind treatment assignment in data analysis.
  3. Good writing is crucial in academic work, emphasizing the significance of clear communication in quantitative research.

CodeChella Madrid 2024

746 implied HN points • 07 Jan 24
🚌 Education Workshop Training Event Learning Travel
  1. CodeChella Madrid 2024 is a four-day workshop in Madrid focused on diff in diff, featuring various speakers.
  2. The workshop aims to be fun, supportive, and educational, providing practical exercises and hands-on coding experience.
  3. Costs for attending are kept reasonable, with discounted rates for students and faculty, along with affordable hotel options.

Saturday roundup of open tabs

609 implied HN points • 20 Jan 24
🍲 Food & Drink Recipes Studies Cooking techniques
  1. The author shares top reviewed chicken recipes and recommendations for new series on Netflix.
  2. A study shows an increase in hallucinogen mentions in ER visits in California, emphasizing the need for further research.
  3. An upcoming book discusses ancient Jewish practices and community support mechanisms for those in need.

Difference-in-Differences: No Anticipation with Parallel Trends (with a simulation and equations)

117 implied HN points • 31 Jan 24
🔬 Science Causal Inference Statistics Simulation Data Analysis
  1. No anticipation means the baseline period is equal to Y(0) not Y(1)
  2. Difference-in-differences coefficient equals ATT in the post period for the treatment group plus parallel trends bias minus ATT in the incorrectly specified baseline period
  3. Difference-in-differences always requires three assumptions to point identify the ATT: SUTVA, Parallel trends, and No Anticipation

Workshop announcement: $95 price for non-tenure track or professors with higher teaching loads

117 implied HN points • 24 Jan 24
🚌 Education Workshop Teaching Causal Inference Pricing Learning
  1. Workshop offering discounted price of $95 for non-tenure track professors or those with high teaching loads
  2. Workshop covers topics like potential outcomes model, unconfoundedness, and instrumental variables
  3. Teaching style focuses on comprehension, confidence, and competency in applying causal inference methods

Using ChatGPT-4 for a new price discriminating hurdle for my workshops

98 implied HN points • 01 Feb 24
💼 Business Economics Entrepreneurship Marketing Ethics Innovation
  1. Price discrimination involves selling the same service at different prices to different consumers based on specific criteria that can't be easily manipulated.
  2. Creating pricing hurdles, like costly actions or essays, can help target different groups of consumers effectively.
  3. Using ChatGPT-4 to assess essays for pricing eligibility can introduce a fair yet complex system, combining an honor system approach with a touch of randomness.

Saturday morning open tabs

78 implied HN points • 10 Feb 24
🕹 Technology AI Tech news Virtual reality Data science
  1. The post discusses the experience of switching phone carriers and the challenges faced, emphasizing the impact of not having a phone for a few days.
  2. The post touches on upcoming summer plans including workshops in Madrid, Scotland, and potential travel to Vietnam, highlighting the diversity of travel experiences planned.
  3. The author explores the new Apple Vision Pro product, contemplating its potential usage for work, entertainment, and travel, showcasing a mix of curiosity and skepticism.

Saturday morning open tabs

78 implied HN points • 27 Jan 24
🕹 Technology AI Health Media Research Economics
  1. The author discusses the challenge of balancing self-love with weight loss efforts.
  2. The author shares open tabs about various topics like causal inference, discrimination, and AI.
  3. The author reflects on articles they've read and their views on compassion and biased depictions of others.

It’s raining websites!

58 implied HN points • 03 Feb 24
🎭️ Culture Technology Music History TV & Film Literature
  1. The post shares interesting links on a variety of topics like cats in prisons and AI firms.
  2. There is a discussion on using machine learning for real-time pricing and predicting new antibiotics.
  3. The author also mentions a workshop on causal inference and his passion for continuing to learn in the field.

Mixtape Mailbag #8: Continuous Triple Differences

39 implied HN points • 05 Feb 24
🔬 Science Causal Inference Data Analysis Research Methods Econometrics
  1. Triple difference design can be used with continuous treatment by defining the parameters based on dosage levels.
  2. When treatment is continuous, the target parameter shifts from average treatment effect to average causal response function.
  3. Continuous treatments require careful definition of parameters to compare different dosages along a treatment curve.