20 tagged difference in differences, measured the same way as everything else here.
Browse within: causal-inference 20academic-research 17did 17econometrics 17finance 17
Skill Claude CodeCodex
Use when the user asks to run a full empirical / causal analysis in Python — by default in the style of an applied economics paper (AER / QJE / JPE / ReStud / AEJ) with DID / RD / IV / SCM / DML / matching, written-out estimating equation + identifying assumption, Table 1 / Table 2 / event-study figure / robustness…
Skill Claude CodeCodex
An end-to-end workflow for economics and finance research, from a research idea to a paper PDF ready for submission. It covers literature review, idea and data checks, study design, data work, writing, charts, review, and LaTeX compilation.
Skill Claude CodeCodex
Compile LaTeX to PDF and convert to target journal format.
Skill Claude CodeCodex
Generate academic-quality figures (>=300 DPI) for economics and finance papers.
Skill Claude CodeCodex
Causal inference for data scientists and analysts — DAGs and do-calculus, propensity score methods, difference-in-differences, instrumental variables, regression discontinuity, synthetic control, and variance reduction techniques (CUPED), using CausalML, DoWhy, and rigorous A/B test analysis.