arXiv (All)
open access
Is Inference Conditional on Not Rejecting a Pre-test Less Reliable than Unconditional Inference?
Researchers often report an estimate and confidence interval only if a specification test does not reject - for example, only if a pre-trend test supports a difference-in-differences design. Does this make the reported confidence interval less reliable? We show that when the identifying assumptions
Conceptio Open Archive
Analyze & explore related research in Conceptio
Connect this record directly into your research workflow or AI agent. Explore citations across open repositories, query full text, and export structured proof bundles.
This document is indexed with metadata only: full text is not available in the archive for this record. Open the official source ↗
Related documents
- Across-Design Uncertainty in Short Pricing Panels: Inference and Identification#984229
- Exact Conditional Confidence Intervals for Cramér's V: Near-Nominal and Tight Where the Guaranteed Interval Is Wide and the Software Interval Does Not Cover#1062065
- Analogies and differences between the logic behind statistical hypothesis testing and proofs by contradiction: What can we learn from them?#433536
- The Unreasonable Effectiveness of Monte Carlo Simulations in A/B Testing#1326082
- Active Hypothesis Testing under Computational Budgets#1117284
Record · ID 1296918
Retrieved via Conceptio: every document is proof-bundled with source, license, and retrieval metadata.
Retrieved via Conceptio: every document is proof-bundled with source, license, and retrieval metadata.
Bring this data into your agent: Connect via MCP or API · 20 free credits to start · no card required
Read the Docs → · View CLI source on GitHub · Conceptio Open Knowledge Archive
Read the Docs → · View CLI source on GitHub · Conceptio Open Knowledge Archive