1. Framing Labor Market Questions
4 lessonsTransform vague concerns about technology and work into specific, testable questions with clear scope and measurable outcomes.
2. Data Sources and Measurement Strategy
5 lessonsEvaluate and combine data sources for labor analysis, understanding what each reveals and what it obscures.
3. Causal Reasoning for Workforce Decisions
5 lessonsApply identification strategies to separate true effects from selection bias and confounding factors.
4. Task-Level Exposure and Skill Complementarity
4 lessonsMap how technology changes specific tasks and identify which skills become more or less valuable.
5. Productivity Analysis in Practice
5 lessonsEvaluate productivity claims by examining what is measured, what is missing, and how gains are distributed.
6. Designing Workforce Experiments
5 lessonsStructure pilots and evaluations to generate credible evidence for training, hiring, and organizational change.
7. Building Decision-Ready Workforce Analyses
4 lessonsPackage labor market findings into formats that stakeholders can inspect, challenge, and act on.
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