Posts & Tutorials

Hands-on econometric tutorials grouped by method — search, filter by language, or jump to a topic.

Causal Machine Learning

10 tutorials
Double LASSO in Python: Does Abortion Reduce Crime?
Double LASSO in Stata: Does Abortion Reduce Crime?
Double LASSO for Causal Inference: Does Abortion Reduce Crime?
Causal Machine Learning and the Resource Curse with Python EconML
Causal Machine Learning and the Resource Curse with Stata 19
Double Machine Learning with 401(k) Data: From Eligibility Effects to Complier Analysis
Conditional Average Treatment Effects (CATE) with Stata 19
Causal Machine Learning for Policy Evaluation: From ATE to IATE to a Better Assignment Rule
Identifying Latent Group Structures in Panel Data: The classifylasso Command in Stata
Introduction to Causal Inference: Double Machine Learning

Difference-in-Differences

11 tutorials
Difference-in-Differences with Geocoded Microdata: When Distance Defines Treatment
Difference-in-Differences for Regional Data: Did Medicaid Expansion Reduce Mortality?
Introduction to Difference-in-Differences (DiD) in Python
Introduction to Difference-in-Differences (DiD) in Stata
Sensitivity Analysis for Parallel Trends in Difference-in-Differences Using honestdid in Stata
Difference-in-Differences for Policy Evaluation: A Tutorial using R
Introduction to Difference-in-Differences in Python
Heterogeneous treatment effects via two-stage DID
Staggered DiD (Ex1)
Staggered DiD
Basic DiD

Synthetic Control

7 tutorials
Six Ways to Evaluate a Policy using R: Comparative Case Studies of Proposition 99
Carbon Taxes and CO2 Emissions: A Synthetic-Control Analysis in Python
Bayesian Spatial Synthetic Control: California's Proposition 99 in R
Basic Synthetic Control with R: The Basque Country Case Study
The Synthetic Control Method in Stata: Did California's Tobacco Tax Cut Smoking?
Synthetic Control with Prediction Intervals: Quantifying Uncertainty in Germany's Reunification Impact
Causal effects of a CO2 tax

Instrumental Variables

3 tutorials
Do Institutions Cause Prosperity? An IV Tutorial in Python
Do Institutions Cause Prosperity? An IV Tutorial in Stata
IV Estimation with Panel Data: Economic Shocks and Civil Conflict

RDD & Matching

2 tutorials
Treatment Effects in Stata: A Beginner's Tour of Six Estimators with the Maternal Smoking and Birth Weight Case Study
Regression Discontinuity Design (RDD) in Stata: Evaluating a Tutoring Program

Panel Data & Fixed Effects

14 tutorials
MGWFER: Causal Spatially Varying Coefficients via Panel Fixed Effects
Dynamic Panel Data with Arellano-Bond GMM in Stata: The Effect of War on Economic Growth
Regional Inequality and the Kuznets Curve: Panel Fixed Effects in Python
Introduction to Panel Data Methods in Python
Identifying Latent Group Structures in Panel Data: The classifylasso Command in Stata
What Does TWFE Actually Do? Manual Demeaning and the FWL Theorem
Standard Errors in Panel Data: A Beginner's Guide in Python
Taming Model Uncertainty in the Environmental Kuznets Curve: BMA and Double-Selection LASSO with Panel Data
Dynamic Panel BMA: Which Factors Truly Drive Economic Growth?
Visualizing Regression with the FWL Theorem in Stata
Visualizing Regression with the FWL Theorem in R
Three Methods for Robust Variable Selection: BMA, LASSO, and WALS
High-Dimensional Fixed Effects Regression: An Introduction in Python
The FWL Theorem: Making Multivariate Regressions Intuitive

Causal Inference (Foundations)

11 tutorials
Double LASSO in Python: Does Abortion Reduce Crime?
Double LASSO in Stata: Does Abortion Reduce Crime?
Double LASSO for Causal Inference: Does Abortion Reduce Crime?
Carbon Taxes and CO2 Emissions: A Synthetic-Control Analysis in Python
Causal Machine Learning and the Resource Curse with Python EconML
A Beginner's Guide to Causal Inference with DoWhy in Python
Double Machine Learning with 401(k) Data: From Eligibility Effects to Complier Analysis
Causal Machine Learning for Policy Evaluation: From ATE to IATE to a Better Assignment Rule
Evaluating a Cash Transfer Program (RCT) with Panel Data in Stata
Introduction to Partial Identification: Bounding Causal Effects Under Unmeasured Confounding
Introduction to Causal Inference: The DoWhy Approach with the Lalonde Dataset

Machine Learning & Dimensionality Reduction

3 tutorials
Pooled PCA for Building Development Indicators Across Time
Introduction to PCA Analysis for Building Development Indicators
Introduction to Machine Learning: Random Forest Regression

Spatial Econometrics

19 tutorials
MGWFER: Causal Spatially Varying Coefficients via Panel Fixed Effects
Converging to Convergence: Understanding the Main Ideas of the Convergence Literature
Beta and Sigma Convergence Across Countries: A Stata Tutorial
Regional Inequality and the Kuznets Curve: Panel Fixed Effects in Python
Spatial Dynamic Panels with Common Factors in Stata: Credit Risk in US Banking
Spatial Dynamic Panel Data Modeling in R: Cigarette Demand Across US States
Multiscale Geographically Weighted Regression: Spatially Varying Economic Convergence in Indonesia
Exploratory Spatial Data Analysis: Spatial Clusters and Dynamics of Human Development in South America
Exploratory Spatial Data Analysis (ESDA)
Studying spatial heterogeneity
Construct and export spatial connectivity structures (W)
Spatial Panel Regression in Stata: Cigarette Demand Across US States
Cross-Sectional Spatial Regression in Stata: Crime in Columbus Neighborhoods
Monitoring subnational human development
Convergence clubs
Spatial inequality dynamics
Monitoring regional sustainable development
The Solow growth model and its convergence prediction
Introduction to spatial data science

GIS & Remote Sensing

10 tutorials
Regional dynamics of VIIRS-like nighttime lights 1992-2023
Regional dynamics of luminosity-based GDP 1992-2019
Regional dynamics of DMSP-like nighttime lights 1992-2019
Space-time dynamics of nighttime lights: VIIRS-like data
Space-time dynamics of nighttime lights: VIIRS-annual data
Space-time dynamics of nighttime lights: DMSP-like data
Space-time dynamics of nighttime lights: DMSP-extended data
Space-time dynamics of nighttime lights: DMSP-corrected data
Monitoring subnational human development
Monitoring regional sustainable development

Other Methods

7 tutorials
Use marginal predictions
Our World in Data
R
R
R
R
R

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