Skills Data Science Empirical Analysis Execution Bridge

Empirical Analysis Execution Bridge

v20260724
rt-execution-bridge
This skill bridges theoretical econometric designs (DiD, IV, RDD, SCM, DML) to concrete, audited statistical estimates. It orchestrates the necessary tool calls to fit models, generate comprehensive diagnostics, and report reliable findings, ensuring that every academic claim is backed by executable, traceable code. Essential for advanced causal inference research.
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Overview

Execution Bridge (rt-execution-bridge)

Close the last mile: turn "you should use a heterogeneity-robust DiD / weak-IV-robust CI / multiple-testing correction" into an actual fitted, audited estimate. Full map + orchestration spine + validated worked-examples (DiD / IV / RDD / synthetic-control / DML): shared-resources/empirical-methods/execution-with-mcp.md.

When to trigger

  • You have data and a design and need the actual estimate + its diagnostics.
  • A reviewer objection (real or simulated) needs an executed answer (e.g. "TWFE is biased under staggered adoption" → run Callaway–Sant'Anna + Goodman-Bacon).

The spine (always)

  1. detect_design → preflight / recommend → fit with as_handle=true.
  2. audit_result(result_id) — enumerate the checks the design still owes; run each suggest_function it names.
  3. Design-specific sensitivity from the handle (honest_did_from_result, sensitivity_from_result, evalue_from_result).
  4. bibtex(keys=[…]) for citations — never invent references.

Design → tools (summary; full table in the canonical doc)

  • Staggered DiD: callaway_santanna / sun_abraham + bacon_decomposition + honest_did_from_result.
  • IV: iv + effective_f_test + anderson_rubin_ci (weak-IV-robust).
  • RDD: rdrobust + rddensity / mccrary_test.
  • Synthetic control: synth / sdid + placebo inference.
  • DML / high-dim: dml + dml_diagnostics (overlap) + oster / sensemakr.
  • Multiple testing / inference: romano_wolf, wild_cluster_bootstrap, twoway_cluster.
  • Exhibits: etable / did_summary_to_latex straight from the handle.

Hard rules

  1. Run, don't claim — every reported estimate/CI/F/bound traces to a tool call.
  2. bibtex is the only citation source.
  3. Method here, placement there — where the result goes (body vs. appendix, page limit, house table style) is the target pack's skills + official-source-map.md.
  4. Degrade honestly — if StatsPAI/Stata are not connected, adapt the code/ skeleton and flag any unverified number.

Output format

【Design】DiD / IV / RDD / SCM / DML / …
【Estimate】point [CI] (estimator)
【Key diagnostic】(first-stage/effective F, pre-trends p, overlap, placebo p, …)
【Audit gaps run】…
【Magnitude】interpretable units
【Next】rt-submission-readiness / the pack's tables-figures skill
Info
Category Data Science
Name rt-execution-bridge
Version v20260724
Size 2.82KB
Updated At 2026-07-29
Language