STATAU Project. STATAU (Version 3.2.0) [CP/OL]. 2026 [2026-11-13]. https://statapro.cn.
STATAU is a browser-based empirical analysis platform. Without writing code, you can upload data and run descriptive statistics, regression, time-series, causal-inference, DID, and other analyses, then export publication-style result tables directly.
| Workspace | Path | Purpose | Access |
|---|---|---|---|
| Data Analysis Workspace | /analysis |
Upload data, estimate models, and generate result tables | Login required |
| Data Processing | /data-processing |
Clean and merge data, and construct variables | Login required |
| Database | /database |
Search and download built-in data, then merge it into your own dataset | Public browsing; login required to download or merge |
| User Center | /user/center |
View quotas and usage history, and manage devices and account settings | Login required |
Register with an email verification code. Afterward, log in with your password or use an email code for passwordless access.
Open the Data Analysis Workspace and upload a .csv, .xlsx, .xls, .dta or .sav file (up to 1 GB per file). Preview it after upload to confirm that the variables and observations are correct.
Choose an analysis module in the left sidebar, then select the dependent variable, independent variables, controls, and parameters in the right panel. If you are unsure how to fill a field, click the Tutorial link beside the module name.
Results appear in publication-style three-line tables. Export them to Word, Excel, TXT, or CSV, or ask AI to generate a written interpretation.
Only one device may remain signed in to an account at a time. Signing in on another device invalidates the current session. View active sessions and remotely sign out other devices under Online Devices in the User Center.
Review recent analysis activity and AI Token usage details.
Review login times, IP locations, and device details to spot unusual activity promptly.
View active sessions and remotely sign out other devices.
Change your login password after verifying an email code.
Switch between Chinese and English from the right side of the navigation bar. Guest preferences are saved in the browser, while signed-in users' preferences are saved to their accounts and synced across devices.
.csv, .xlsx, .xls, .dta, .sav. Files can be up to 1 GB. Variable types are detected automatically after upload, and invalid variable names are renamed with a notice.The workspace contains 40 modules in six categories. The list below gives each category and a brief purpose so you can find it in the interface. For guidance on selecting variables, interpreting results, and comparing with Stata, open the tutorial link under each category.
Descriptive statistics, grouped descriptive statistics, frequency tables, correlation analysis, VIF multicollinearity tests, normality tests, t-tests, chi-square tests, and ANOVA.
Linear OLS, fixed effects, random effects, mixed effects, Logit, Probit, mediation, moderation, heterogeneity analysis, and serial mediation.
Breusch-Pagan, White, Durbin-Watson, F test (FE vs. pooled), and Hausman test (FE vs. RE, with a sigmamore option).
Stationarity tests, vector autoregression (VAR), Granger causality tests, cointegration tests, vector error correction models (VECM), AR characteristic-root tests, and variance decomposition.
2SLS instrumental variables, generalized method of moments (GMM), dynamic panel GMM, and Heckman two-step estimation.
Single-period group trends, staggered event studies, placebo tests, PSM-DID, and entropy balancing.
Each run creates a separate result tab that you can rename, switch, or delete. Tabs are saved automatically and restored after refreshing the page or signing in again, so completed results are not lost.
Generate a streamed written interpretation of the current results with one click. Add variable descriptions and regenerate it, or review previous reports. AI interpretation uses AI Tokens. If your balance is insufficient, purchase more on the Pricing page.
Placebo tests, bootstrap estimation for mediation and serial mediation, and dynamic panel GMM require many repeated model estimations. They run asynchronously and show live progress. Allow enough time for your sample size and avoid repeatedly refreshing the page while they run.
The Data Processing Workspace (/data-processing) is used to clean and transform data before analysis.
After processing data here, sync it to the Data Analysis Workspace with one click instead of uploading it again.
.csv, .xlsx, .xls, .dta, .sav.Concatenate columns or merge by keys (inner, left, right, or outer), with suffixes for duplicate names on either side.
Rename and describe variables, convert types (numeric, string, or date), and delete variables.
Delete missing observations or fill missing values using several methods, including within-group imputation.
Delete duplicate observations or mark them without deleting.
Identify outliers with the boxplot method, apply winsorization, and more.
Filter observations using combinations of multiple conditions.
Use simple random or stratified sampling and set a random seed for reproducibility.
Create logarithms, ratios, interaction terms, dummy variables, lags, differences, standardized variables, and centered variables.
Entropy weighting, principal component analysis (PCA), and factor analysis.
For step-by-step instructions for each feature, see Data Processing Tutorials.
Every operation automatically creates a version. You can undo, redo, jump to any earlier version, review the complete operation history, and roll back mistakes at any time.
Data Processing is available from the Plus plan; Free and Mini plans cannot use it.
The Database page (/database) provides built-in datasets commonly used in empirical research. Browsing and search are publicly available,
while downloading and merging require login.
Downloads are packaged asynchronously in the background. After submitting, you are taken to a waiting page, and the browser begins downloading automatically when the package is ready.
The ZIP archive contains the data file, data_readme.txt , attachments, and references. When citing the data source, follow the description file.
Some tables are available to members only and are marked on the table details page.
| Format | Generated By | Notes |
|---|---|---|
| Word (.docx) | Generated natively on the server | Publication-style three-line tables. Module-generated charts, such as event-study plots and placebo distributions, are exported with the table. |
| Excel (.xlsx) | Generated in the browser | Best for further formatting or table editing. |
| TXT | Generated in the browser | Plain-text tables that are easy to paste into notes or emails. |
| CSV | Generated in the browser | Best for importing into other software for further processing. |
The export button appears only after the current module has produced results. It is hidden after switching to a module that has not been run. Export filenames include timestamps automatically, so files do not overwrite one another.
After obtaining the main results, export a Word copy for your records before continuing with other specifications.
When replacing variables or changing model specifications, use append mode to place runs in adjacent columns and create a standard multi-column comparison table.
Once finalized, export the Word three-line table for your paper. Use the Excel version if you need to adjust the formatting.
All results are stored persistently in tabs and remain available after refreshing or signing in again. They are removed only when you delete a tab or clear the results manually.
If STATAU was used for data processing, empirical analysis, or result output in your paper, state the software name and version in the main text and cite the platform in the references. The standard formats below can be copied directly; follow any different requirements specified by your institution or journal.
STATAU Project. STATAU (Version 3.2.0) [CP/OL]. 2026 [2026-11-13]. https://statapro.cn.
STATAU Project. (2026). STATAU (Version 3.2.0) [Web application]. https://statapro.cn
@misc{statau2026,
author = {{STATAU Project}},
title = {STATAU},
year = {2026},
howpublished = {Web application},
version = {3.2.0},
url = {https://statapro.cn},
urldate = {2026-11-13}
}
This study used STATAU (Version 3.2.0; https://statapro.cn) for data processing and empirical analysis. Model specifications, standard-error type, and related test results are reported in accordance with the research design.
Citing STATAU does not replace citations for data sources, statistical methods, or foundational literature. The paper should also report the analysis module, key parameters, sample processing, and standard-error settings. To inspect the computational implementation, visit STATAU Open Algorithms.
A: Choose Email Code Login on the login panel, then change your password in the User Center after verifying your email.
A: This is caused by the one-device login limit. If the login was not yours, change your password immediately. You can also sign out other devices under Online Devices in the User Center.
A: Purchase a plan on the Pricing page to continue. Analysis credits and AI Tokens are separate quotas, tracked by order and expiring with their respective plans.
A: Submit student verification in the User Center first. Once approved, select the 40% Student Discount option at checkout. It can be used once per month and up to five times in total.
A: The most common causes are differences in the standard-error type, estimation sample, missing-value handling, fixed effects, or instrumental-variable settings. Align each setting before comparing results. For method-by-method comparisons with Stata, see the Extended Tutorials.
A: In the Hausman module, select the sigmamore option and rerun the test to obtain results closer to Stata's sigmamore specification.
A: These methods re-estimate models hundreds or thousands of times and are computationally intensive. They run asynchronously and display real progress. You can switch to other tabs while waiting for the progress bar to finish.
A: Confirm that the file format is .csv/.xlsx/.xls/.dta/.sav, the file is no larger than 1 GB, the first row contains variable names, and the data form a standard rectangular table. Invalid variable names are renamed automatically, so review the upload notice.
A: The export button appears only when the current module has results. Run the analysis once to display it.
A: Confirm that the results table is displayed correctly, then retry the export. If only Word fails while Excel, TXT, and CSV work, report the issue so we can investigate.
Email statau_feedback@qq.com with the page where the issue occurred, the steps you took, and a screenshot of the error. We will respond as soon as possible. For more method-related questions, see the Tutorial Site FAQ.