Research

10 statistical analysis skills. Trigger: statistical tests, Bayesian analysis, hypothesis testing, sampling. Design: method guides covering assumptions, code, and result interpretation.

Apply ARIMA, VAR, cointegration, and time series econometric methods

Comprehensive Stata reference covering syntax, econometrics, and 20+ packages

Stata workflows for publication-ready sociology and social science research

STATA code for empirical accounting and financial economics research

Sequential robustness checks in Stata with confounder blocks

Learn causal inference with Python using the Brave and True handbook

Panel data analysis with fixed and random effects models

Expert panel data regression analysis with fixed effects and GMM

Replication code and guide for Mostly Harmless Econometrics methods

Apply instrumental variables, 2SLS, and address endogeneity issues

Apply EconML for causal inference combining machine learning and econometrics

Causal inference methods including DiD, IV, RDD, and synthetic control

12 econometrics skills. Trigger: causal analysis, regression models, treatment effects, panel data. Design: method-centric guides with R/Python code and diagnostic tests.

Publication-quality data visualization with matplotlib, seaborn, and plotly

Create journal-quality scientific figures with proper styling and accessibility

Guide to Plotly.py for interactive scientific visualizations in Python

Visualize networks, graphs, citation maps, and relational data

Interactive data visualization with Plotly, ECharts, and D3

Create maps, choropleths, and spatial data visualizations for research

Guide to Apache ECharts for interactive research data dashboards

Guide to D3.js for building custom interactive data visualizations

Colorblind-friendly palettes and accessible visualization design

Generate publication-quality chart images from research data