Stata Package

Format publication-ready tables directly from Stata — no copy-pasting needed.

Requirements

Stata 16.0 or newer (requires Python integration)
Python 3.8+ configured in Stata
Internet connection
A tables.pub account with an API key

Installation

Install from GitHub:

net install statatable, from("https://raw.githubusercontent.com/thomasjanlaurens-hash/statatable-stata/main") replace

This installs statatable.ado, statatable_setup.ado, and statatable_core.py to your ado/plus directory.

Setup

1. Generate an API key on your dashboard.

2. Configure the key in Stata (one-time):

statatable_setup, key(sk_live_your_key_here)

Single Model

Run any estimation command, then call statatable:

sysuse auto, clear
regress price mpg weight foreign
statatable

Save to file with a title:

statatable, save(table1) title(Determinants of Car Prices)

Multiple Models

Combine multiple regressions into one table using Stata's built-in estimates store:

sysuse auto, clear

* Run regressions and store each one
regress price mpg weight
estimates store m1

regress price mpg weight foreign
estimates store m2

regress price mpg weight foreign trunk
estimates store m3

* Combine into one table
statatable m1 m2 m3, title(Price Regressions) save(table1)

Each model becomes a column in the table. Variables not present in a model show as empty cells. All standard statistics (N, R-squared, etc.) are included per model.

Options

Option	Description
title(string)	Table title
save(filename)	Save LaTeX to file (.tex appended automatically)
se	Show standard errors (default)
tstat	Show t-statistics instead of SEs
pval	Show p-values
noconstant	Hide the constant row
eform	Exponentiate coefficients (odds ratios, IRR)
font(string)	Font size: scriptsize, footnotesize, small, normalsize

Supported Commands

Works with any Stata estimation command that stores results in e():

regresslogitprobitivregressxtregxtlogitaregreg2suregheckmantobitpoissonnbregologitoprobitmlogit