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etp-data-analysis

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Use when executing or defending the analysis for an Entrepreneurship Theory and Practice (ETP) manuscript — estimation, event-history, SEM, endogeneity, and qualitative coding rigor, with the new-venture inference problems front of mind.

Entrepreneurship-Theory-and-Practice-Skills/skills/etp-data-analysis/SKILL.md

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# Data Analysis (etp-data-analysis)

## When to trigger

- The estimator is chosen but endogeneity, selection, or survivorship is not yet addressed in the numbers
- You used TWFE/OLS on staggered or time-varying venture data without checking for bias
- A time-to-event outcome (founding, exit, failure, IPO) is modeled with a linear regression
- A reviewer asks for robustness, an alternative specification, or an IV/control-function
- Qualitative coding needs an analysis plan a methods reviewer will accept

## The ETP analysis bar

ETP wants analysis that the **theory can stand on** and that survives the new-venture inference traps.
Because the journal is method-plural, "analysis" differs by branch — but every branch must (a) match the estimator to the outcome and the entrepreneurial data structure, (b) confront endogeneity/selection head-on, and (c) report uncertainty honestly.
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