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Significance-Search

Generate a Stata .do file that compares every subset of optional control variables across parallel instances. The script ranks combinations by the focal variable’s absolute t-statistic, reports the top ten, and fits the highest-ranked model.

中文简介正在准备中。当前显示英语简介。

原文查看原文说明

Parallel control variable combination search via Stata. Exhaustively searches all subsets of optional controls to find the combination that maximises |t| of the independent variable. Activates when user says: "控制变量搜索", "搜控制变量", "control variable search", "跑控制变量组合", "暴力搜索", "调控制变量".

实测评分 未实测

查看安装方法

适用场景

  • Comparing all subsets of optional control variables
  • Keeping mandatory controls in every regression
  • Preparing parallel regression runs in Stata
  • Reviewing the top ten combinations by absolute t-statistic

包含的文件(2)

  • SKILL.md3.8 KB
  • template.do14.9 KB

SKILL.md(原文)

安装前可以查看交给 AI 代理的指令内容。

Control Variable Search Skill

This skill generates a parallelised Stata .do file that:

  1. Enumerates all subsets of optional control variables via tuples
  2. Runs reghdfe (or user-specified command) for each combination across N parallel Stata instances
  3. Ranks combinations by |t| of the independent variable
  4. Reports Top 10 and runs the best combination regression

Important: This skill only generates the .do file. It does NOT execute it. Tell the user the output path and let them run it in Stata themselves.

What to collect from the user

Ask the user for the following. Items marked (required) must be provided; others have defaults.

ParameterDescriptionDefault
data file (required)Full path to the .dta file--
dependent variable (Y) (required)Y variable name--
independent variable (X) (required)X variable of interest--
cluster variable (required)Variable for clustering SE and fixed effects--
mandatory controls (required)Controls always included--
optional controls (required)Controls to search over (all subsets)--
N_WORKERSNumber of parallel Stata instances8
significance levelTwo-tailed alpha0.01
model commandEstimation commandreghdfe
absorbFixed effects specificationabsorb(<<CLUSTER>> year)
vceVariance-covariance specificationvce(cluster <<CLUSTER>>)
STATA_EXEPath to Stata executableE:\Stata\StataMP-64.exe

Critical constraints

  • Optional controls must be <= 14 variables. With 15+ variables, tuples generates 32,768+ combinations and will freeze Stata. If the user provides more than 14, warn them and ask them to reduce or move some into mandatory controls.
  • The output .do file path is <data_dir>\控制变量搜索_并行.do by default, placed next to the data file.

How to generate

After collecting parameters:

  1. Read the template at C:\Users\Verasuna\.claude\skills\ControlVariable\template.do
  2. Replace all <<PLACEHOLDERS>> with user-provided values (see table below)
  3. Write the result to <data_dir>\控制变量搜索_并行.do
  4. Do NOT execute it. Tell the user: "do文件已生成至 <path>,请在Stata中手动运行。"

Do not modify any code logic in the template. Only replace placeholders.

Placeholder reference

<<N_WORKERS>>          e.g. 8
<<STATA_EXE>>          e.g. E:\Stata\StataMP-64.exe
<<PROJ_DIR>>           directory containing the .dta file
<<DATA_FILE>>          filename of .dta (just the name, not full path)
<<SIGNIFICANCE>>       e.g. 0.01
<<DEP_VAR>>            dependent variable (Y)
<<INDEP_VAR>>          independent variable (X)
<<MANDATORY_CONTROLS>> space-separated mandatory controls
<<OPTIONAL_CONTROLS>>  space-separated optional controls
<<MODEL_CMD>>          e.g. reghdfe
<<MODEL_ABSORB>>       e.g. absorb(stkcd year)
<<MODEL_VCE>>          e.g. vce(cluster stkcd)
<<HEARTBEAT_STALL>>    300

Typical usage

User says: "Y是GTFPEFF8,X是Size,聚类到stkcd,必选控制变量Lev,可选控制变量ROA ROE ATO Cashflow,数据文件是 C:\data\mydata.dta"

Then fill:

  • <<DEP_VAR>> = GTFPEFF8
  • <<INDEP_VAR>> = Size
  • <<MODEL_ABSORB>> = absorb(stkcd year)
  • <<MODEL_VCE>> = vce(cluster stkcd)
  • <<MANDATORY_CONTROLS>> = Lev
  • <<OPTIONAL_CONTROLS>> = ROA ROE ATO Cashflow
  • <<PROJ_DIR>> = C:\data
  • <<DATA_FILE>> = mydata.dta
  • Other placeholders use defaults

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