Graduate methods aligned

Stata for Business and Operations

Graduate level, applied econometrics with a clear emphasis on methods used in top management and operations research. Start with foundations and build toward endogeneity, panels, and causal design.

What you will learn
  • Clean data workflows and reproducible habits
  • OLS, robust inference, and diagnostics
  • Specification and model selection
  • Limited dependent variable models
  • Endogeneity, IV, and panel methods

Modules

Each module is built around the Try, Predict, Check, Reflect loop.

Module 00

Foundations and workflow

Do-files, logs, data inspection, missingness, and quick visuals.

Beginner Workflow
Open module
Module 01

Linear regression basics

OLS interpretation, controls, robust SEs, predictions, and diagnostics.

Core OLS
Open module
Coming soon

Specification and moderation

Controls, interactions, and non linear effects with interpretable outputs.

Planned Modeling
In progress

How to use

Short, repeatable sessions are better than long, infrequent marathons.

Pick a module

Work through one step at a time. Do not skip the prediction step.

Write it down

Use the reflection prompts to practice methods talk.

Save your logs

Every deliverable should include your do-file and log.