smj-data-analysis
Use when estimating models and defeating endogeneity for a Strategic Management Journal (SMJ) manuscript — the single highest bar at SMJ. Executes and stress-tests the identification design from smj-methods; it does not design the study or build exhibits.
Profile →npx skills add brycewang-stanford/Awesome-Journal-Skills --skill smj-data-analysis --agent claude-code
Same command for any agent — swap --agent for codex, cursor, copilot.
Weekly change comes from our own snapshots, not the repository page — it measures attention, not adoption.
# Data Analysis & Endogeneity (smj-data-analysis) ## When to trigger - You have a performance regression with no endogeneity / reverse-causality treatment - DID, IV, matching, or a selection model is chosen but not yet stress-tested - Reviewers will ask "how do you know this is causal and not selection?" - You need to plan the mechanism test and the robustness battery ## The SMJ endogeneity mandate Performance regressions with **unaddressed endogeneity or reverse causality are the #1 SMJ rejection reason.** Treat causal identification as a first-class part of the paper, not a footnote. The reviewer's mental model: *firms that make this strategic choice are different in ways that also affect performance.* You must close that door explicitly. SMJ codifies this in Bettis, Gambardella, Helfat & Mitchell (2014), "Quantitative empirical analysis in strategic management," *SMJ* 35(7): 949–953: acknowledge endogeneity, make a good-faith effort to address it, and avoid **data snooping / p-hacking**. Report **economic magnitudes**, not just stars. SMJ will publish well-designed studies that report **null results** — so do not suppress a theory-relevant null. ## Threat → tool map | Threat | P
- When to trigger
- The SMJ endogeneity mandate
- Threat → tool map
- Design-specific execution
- DID / natural experiment
- Instrumental variables
- Matching (PSM / CEM) + DID
- Heckman selection
- Mechanism & robustness
- Execution bridge (StatsPAI / Stata MCP)
- Checklist
- Anti-patterns
- Output format
- Templates & resources
What does the smj-data-analysis skill do?
Use when estimating models and defeating endogeneity for a Strategic Management Journal (SMJ) manuscript — the single highest bar at SMJ. Executes and stress-tests the identification design from smj-methods; it does not design the study or build exhibits.
How do I install it?
Run `npx skills add brycewang-stanford/Awesome-Journal-Skills --skill smj-data-analysis --agent claude-code` — it drops the skill into your project so the agent can pick it up. Swap the --agent value for codex, cursor or copilot if you use one of those.
Where does this skill come from?
From brycewang-stanford/Awesome-Journal-Skills, a repository with 909 stars. We read it straight from the repository tree rather than a submitted listing, so what you see here is what is actually published.
Is a popular skill a good skill?
Not necessarily. Stars measure attention, not adoption — a repository can trend for a week and be abandoned. That is why we show the weekly change from our own snapshots next to the total, instead of a single flattering number.