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riclyme

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   Stata Coef To DOCX · riclyme

   End-to-end pipeline — runs Stata models using the printcoef pattern, parses the log to extract all coefficients (b, se, p), and generates a compact publication-quality Word (.docx) regression table in JMS/AMJ style without any manual copy-paste. Eliminates the risk of hardcoded wrong numbers. Use when you say "run models and make the table", "update the regression table with new results", or "build Table 2 from Stata output".
   0 installs
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   Academic DOCX Table · riclyme

   Builds publication-quality Word (.docx) regression tables for strategy/management journals (SMJ, JMS, AMJ, ASQ style) using python-docx. Covers SMJ manuscript conventions (double-space body, APA headings, tables at end), standard model progression (M1=controls, M2=IV+controls, M3+=moderator+IV+interaction+controls), compact β/[p]/(SE) cell format, academic top-bottom borders, landscape section breaks for wide tables, merged moderator rows, FE as "Yes", VIF reporting, and correlation+descriptive statistics tables (numbered lower-triangle with Mean/SD rows). Use when building or reformatting any regression, correlation, or descriptive statistics table in Word.
   0 installs
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   Stata Iv Robustness · riclyme

   Runs the complete IV endogeneity robustness suite for a binary or count outcome paper — first-stage OLS, Wu-Hausman endogeneity test (ivregress 2sls + estat endogenous), and IV-probit (twostep). Extracts all coefficients from every step using the printcoef pattern and produces formatted output ready for Word table building. Use when you say "run IV robustness", "endogeneity test", "first-stage IV", or "instrument validity check".
   0 installs
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   Stata Moderation Margins · riclyme

   Generates Zelner-style continuous marginal effect plots for moderation hypotheses tested with logit/probit. Produces a multi-panel PNG showing dy/dx of the focal variable evaluated across the full empirical range of each moderator, with rspike 95% CI bars. Use when you say "generate moderation plots", "Zelner plot for H2-H4", or "marginal effects across moderator range". NOT for count models (NBreg) — use coefficient plots instead.
   0 installs
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   Stata Research Assurance · riclyme bundle

   Build, audit, reproduce, and validate Stata 19 empirical-research pipelines. Use when the user asks to freeze an econometric design, generate modular do-files, inspect Stata code/logs/data, reconcile changing results, check merges, sample attrition, variable timing, fixed effects, clustering, lags, or validate AI/ML-generated covariates and matching labels. Do not use for a one-line Stata syntax question unless the user requests the full assurance workflow.
   0 installs