Finishing a regression leaves a separate reporting task: organize its results so readers can compare specifications and collaborators can edit the presentation. A console screenshot shows output but makes variable labels, column widths and notes difficult to change. A native Word table preserves editable cells. Its content still needs to remain tied to the actual estimation, including sample definitions, standard errors and the meaning of the reported numbers.
Inspect the regression-table case and downloads. The example was actually executed and exported with official Stata. It provides a native 9-row, 3-column Word table, full-precision CSV, code and a run log. This standalone calculation and formatting example does not establish that an AI completed the task in a researcher’s session.
Specify what the table must retain
The example extends the same-sample Stata comparison. The dependent variable is price in US dollars. Model 1 includes weight in pounds; model 2 adds mpg. Both use the same 74 complete cases on price, weight and mpg and vce(robust). Differences therefore reflect changed specifications without a simultaneous change in sample size. Neither model identifies a causal effect.
Parentheses contain robust standard errors. Observations and R² appear at the bottom; notes explain data, units, sample and inference. Model 1 labels mpg as Not included, rather than treating an absent term as a zero estimate. No significance stars are added. If a journal requires stars, fix the testing convention and thresholds first, then derive them from actual results.
Generate the document from actual estimation
Stata’s official putdocx writes text and estimation results into .docx. The supplied analysis.do reads _b, _se, e(N) and e(r2) immediately after estimation, fills Word cells and exports full-precision CSV. Both outputs originate in the same calculation rather than separate manual transcription.
The table displays coefficients and SEs to three decimal places. The weight entries 2.044 and 1.747 are display values; additional precision remains in CSV and must not be replaced by rounded values in subsequent calculations. A standard-library Python script, finalize_word.py, removes the default title decoration and sets generic author metadata without changing table numbers. Both steps are included for inspection and rerunning.
Give Marx Max a bounded task
Follow the Stata guide to check the licensed local installation and save existing work. Opening this case creates a task and material instructions and prefills the request for editing before execution. The public package contains code and reference outputs. Merely opening the case does not execute code or clear Stata memory.
Read the project README and retain reference outputs. In a fresh Stata practice session, estimate both models on the same sample and export an editable Word table, full-precision CSV and this run’s log. Include labels, coefficients, robust SEs, N, R² and units. Compare Word cells with CSV; do not present reference logs as evidence of this run.
For your own models, identify the do-file, variables, sample, standard-error convention and column order. Different samples may be shown side by side when each sample is explained. Keep a mapping between edited display labels and code variables. Notes describe estimation conditions and should not disappear during formatting.
Rerun and inspect before sharing
Extract into a new practice directory and retain a reference copy. Run do analysis.do in an independent Stata session, then python finalize_word.py regression-table.docx from the same directory. Stata’s clear all clears that session and replace overwrites named practice outputs: save previous work first. Python formatting uses no third-party dependencies.
Try editing a variable label to verify that the document contains a table rather than a picture. Compare coefficients and parenthesized SEs against CSV. Both columns should report 74 observations and R² rounded to 0.290 and 0.293. Check units, absent terms, notes and pagination. Numerical accuracy and usable document layout require separate checks.
Calculation and page rendering used macOS and Stata 19.5. Windows hardware and every reader’s Office configuration have not been checked; fonts may change spacing and pagination. Open the document once in its final submission environment. Use CSV for numbers, Word for editing, and code plus the actual log for provenance.