William Chow
Community@zhouziyue233 · Hong Kong
Researcher in Law, Economics, Data Science; Vibe Coder
Agent Skills by William Chow
Showing 17 vetted skills indexed across 1 GitHub repositories.
synthetic-control
Construct synthetic counterfactuals from donor units to identify causal effects.
time-series
Guide econometrics researchers through time-series analysis with Python, R, and Stata templates.
panel-data
Guide econometrics researchers in selecting and diagnosing panel data models.
ml-causal
Automate ML-based causal inference to estimate treatment effects in econometrics.
beamer-ppt
Generate Beamer-style academic PPTX presentations from research papers using python-pptx.
figure
Generate publication-quality econometric figures in Python, R, and Stata.
results-analysis
Generate descriptive statistics, balance tests, and interpretation memos from empirical analyses.
ols-regression
Perform OLS regression analyses with diagnostics in Python, R, and Stata.
iv-estimation
Estimate causal effects with IV/2SLS and propensity score matching.
literature-review
Search, screen, and summarize economics literature from OpenAlex and related sources.
data-pipeline
Fetch and clean economic data from multiple APIs into analysis-ready datasets.
table
Generate publication-ready regression tables as LaTeX fragments and CSVs.
scrapling
Automate web data collection with Python-based fetching, parsing, and crawling.
did-analysis
Guide Difference-in-Differences analysis with assumption checks, model specification, and robustness tests.
rdd-analysis
Estimate causal effects with sharp and fuzzy RDD analysis around a cutoff.
paper-writing
Draft an economics manuscript from research inputs using LaTeX templates.
stata
Generate ready-to-run .do files for data cleaning and regression models.