# paulgp/applied-methods-phd

Repo for Yale Applied Empirical Methods PHD Course

Repository: https://github.com/paulgp/applied-methods-phd
Canonical: https://ross.abutalabs.com/products/applied-methods-phd
Language: TeX
License Family: other
Last push: 2026-04-30T18:40:48+00:00

## Health v2 (maintenance only)
Score: 68/100 (v2, computed 2026-09-03T02:20:16.233290+00:00)
- activity 80, release rhythm 35, longevity 100
- inputs: {"age_days": 2058, "days_push": 125, "days_rel": null, "gap_med": null, "n_releases_24m": 0}
- flags: no_releases, no_license
- formula: round(0.45*activity + 0.35*rhythm + 0.20*longevity); archived -> min(score, 10)

## Adoption (not part of the score)
Stars 2240, forks 675 (observed 2026-08-28T04:06:29.686631+00:00)

## What it is
Course materials for Yale's Applied Empirical Methods PhD course, including lecture slides, notes, problem sets, and video links on econometric methods for empirical research. It emphasizes practical intuition and implementation of causal inference methods over formal theory.

## Use cases
- learn applied econometrics and causal inference methods
- find lecture notes on empirical research methods for PhD students
- study difference-in-differences and regression discontinuity designs
- get problem sets for practicing empirical methods
- watch a free graduate course on applied empirical methods
- understand how practitioners apply econometric techniques

## When to choose
- you are a graduate student or researcher wanting practical intuition for econometric methods
- you want free, well-regarded course materials with videos and problem sets
- you prefer intuition and implementation over heavy formal proofs

## When to avoid
- you need a software library or tool for analysis
- you want rigorous mathematical derivations and formal econometric theory
- you need a structured course with grading or instructor support

## Facets
- artifact type: learning-resource
- maturity: active
- function: documentation
- domain: education, data-science, tutorials
- platform: -
- tags: econometrics, causal-inference, lecture-notes, phd-course, empirical-methods, yale, tex, web-server

## Member repositories
- paulgp/applied-methods-phd (main) score 68

## Provenance
- Observed fields: from GitHub, fetched 2026-08-28T04:06:29.686631+00:00.
- Health v2: computed from the inputs above; adoption is never an input.
- Inferred fields (summary, facets, guidance): AI-extracted, prompt v1, taxonomy v1, on 2026-08-30T02:44:08.378422+00:00, confidence not recorded.
  - readme: https://github.com/paulgp/applied-methods-phd (fetched 2026-08-28T04:06:29.686631+00:00, sha 8867b5bbf011)
- Data as of 2026-08-30T08:39:29.467469+00:00.