From jbv-skills
Runs and reports statistical analysis for JBV entrepreneurship manuscripts, selecting estimators (survival, selection, panel, experiment) and addressing survivorship, attrition, and endogeneity.
How this skill is triggered — by the user, by Claude, or both
Slash command
/jbv-skills:jbv-data-analysisThe summary Claude sees in its skill listing — used to decide when to auto-load this skill
- Data are collected and it is time to estimate and report
JBV is methodologically pluralistic, so the right tool depends on the claim. Common patterns in new-venture data:
| Data structure / claim | Estimator |
|---|---|
| Time-to-exit / IPO / failure | Survival / event-history (Cox, parametric AFT, competing risks) |
| Choice to found / endogenous selection | Heckman / Roy selection; control function |
| Venture panel with unit heterogeneity | Fixed/random effects; cluster-robust SE (reghdfe, fixest) |
| Policy / ecosystem / financing shock | DiD / event study / staggered-adoption estimators |
| Counts (patents, funding rounds, ventures) | Poisson / negative binomial; zero-inflated as fits |
| Binary outcomes (funded, survived) | Logit / probit; rare-events corrections where outcomes are rare |
| Manipulated entrepreneurial judgment | ANOVA/regression with manipulation & attention checks |
| Inductive process / theory-building | Gioia data structure, audit trail, representative quotations |
Cluster standard errors to the sampling/nesting structure (e.g., by cohort, region, accelerator, or industry).
| Reviewer pushback | JBV-specific fix |
|---|---|
| "Your sample is survivors; failures are invisible." | Re-draw the frame from registry/nascent data; bound the survivor bias. |
| "Founder choices are endogenous." | Model founding selection or use a shock; report how the estimate moves. |
| "A general-management effect on a startup panel." | Test a moderation that only makes sense for ventures (uncertainty, liability of newness). |
A hypothetical JBV study asks whether prior startup failure raises the hazard of a founder's next venture securing Series A. Data: an illustrative panel of second-time founders from a registry frame retaining failed first ventures (so it is not survivor-only).
【Estimator】survival / selection / panel-FE / DiD / experiment / qual ...
【Survivorship & selection】how handled ...
【Attrition / missing data】...
【Endogeneity】strategy + identifying assumption ...
【Robustness】alt specs, bounds, alternative explanation ...
【Effect sizes】magnitude for the phenomenon ...
【Open issues for reviewers】...
【Next step】jbv-contribution-framing
npx claudepluginhub brycewang-stanford/awesome-journal-skills --plugin jbv-skillsExecutes and defends ETP manuscript analysis: survival models, endogeneity/IV, SEM/CFA, and qualitative coding rigor for new-venture inference.
Guides research design for Journal of Business Venturing manuscripts, matching methods to entrepreneurial questions and addressing selection, survivorship, and novel-dataset issues.
Runs and reports statistical analysis for AMJ manuscripts: measurement validity (CFA, reliability), estimator selection (HLM, SEM, panel, experiments), common-method bias, endogeneity, and robustness checks.