How to Use STATA for Academic Research: A Complete Guide (2026)
Meet the Expert
Shruti Sharma
Academic Writing Coach & Quantitative Research Specialist
- Practical STATA experience for PhD dissertation data analysis in economics, public health, and social science
- Specialises in regression analysis, panel data models, and econometric methods in STATA
- Guided 80+ researchers in STATA analysis, output interpretation, and results chapter writing
STATA is a powerful statistical software package used widely in economics, public health, epidemiology, and social science research. It combines an intuitive command-line interface with menus, offers excellent panel data and econometric capabilities, and produces publication-quality graphs — making it a top choice for quantitative PhD dissertations.
STATA Interface Overview
When you open STATA, you will see five main windows:
- Results Window: Shows output from all commands
- Command Window: Where you type individual commands
- Variables Window: Lists all variables in your dataset
- Properties Window: Shows variable attributes
- Do-file Editor: Where you write and save your analysis script
STATA for Academic Research at a Glance
Econometrics and longitudinal analysis
Do files for reproducible analysis
Annual or perpetual licence options
Hausman test, Arellano-Bond estimator
Import/export multiple formats
Export to Word, Excel, LaTeX
Getting Started: Basic STATA Commands
Importing Data
| Data Format | STATA Command |
|---|---|
| STATA (.dta) | use "filename.dta", clear |
| Excel (.xlsx) | import excel using "file.xlsx", firstrow clear |
| CSV | import delimited using "file.csv", clear |
| SPSS (.sav) | import spss using "file.sav", clear |
Data Exploration Commands
describe— lists all variables and their typessummarize varname— descriptive statistics for a variabletabulate varname— frequency table for categorical variableslist in 1/10— shows first 10 observationscodebook varname— detailed variable information
Common Statistical Tests in STATA
| Analysis | STATA Command | Example |
|---|---|---|
| Descriptive Statistics | summarize, detail | summarize score, detail |
| Independent t-test | ttest | ttest score, by(group) |
| One-way ANOVA | oneway | oneway score group, bonferroni |
| Correlation | pwcorr | pwcorr var1 var2, sig |
| OLS Regression | regress | regress outcome pred1 pred2 pred3 |
| Logistic Regression | logit / logistic | logit outcome pred1 pred2 |
| Panel Data (FE) | xtreg, fe | xtreg outcome predictors, fe |
| Panel Data (RE) | xtreg, re | xtreg outcome predictors, re |
| Hausman Test | hausman | hausman fixed random |
Working with Do Files
Best practice in STATA is to write all commands in a do file. This makes your analysis fully reproducible and transparent:
- Open Do-file Editor: Ctrl+8 or Window > Do-file Editor
- Write your analysis commands in order
- Add comments using
*at the start of a line or/* comment */ - Run the do file: click the execute (do) button or press Ctrl+Shift+D
- Save your do file and include it as an appendix in your dissertation
Exporting STATA Output to Word/Excel
Use the outreg2 package to export regression results to Word or Excel in publication-ready format: install with ssc install outreg2, then run outreg2 using results.doc, replace after your regression command. For descriptive statistics, estpost summarize combined with esttab produces formatted tables. Clean, well-formatted output tables save significant time when writing your results chapter.
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Frequently Asked Questions
Click a question to expand the answer.
STATA is a commercial statistical software package developed by StataCorp. It is widely used in economics, epidemiology, public health, sociology, political science, and finance for data management, statistical analysis, and graphics. STATA is particularly strong for panel data analysis, survival analysis, instrumental variables, and econometric methods — making it a preferred tool for economics and public health dissertations.
STATA is command-line based with both point-and-click menus and scripting (do files); SPSS is primarily point-and-click and easier for beginners; R is fully scripted and free. STATA is superior for econometric and panel data methods; SPSS is better for standard psychological/social science analyses; R is most flexible and free. STATA costs more than SPSS academically. All three are accepted for PhD dissertation analysis — the choice depends on your discipline and institutional availability.
A STATA do file (.do) is a script file containing a sequence of STATA commands. Running a do file executes all commands in order, producing a fully reproducible analysis. Do files are the recommended way to conduct dissertation analysis in STATA because they record your entire analysis workflow, make it easy to rerun analysis after data changes, and can be submitted as analysis documentation. Always work from do files rather than the command window for reproducible research.
Essential STATA commands for PhD research: summarize (descriptive statistics), tabulate (frequencies), ttest (t-test), anova (one-way ANOVA), regress (OLS regression), logit/probit (logistic regression), xtreg (panel data regression), xttest0/xttest3 (panel specification tests), alpha (Cronbach's alpha), pwcorr (pairwise correlations), and graph (data visualisation). For factor analysis: factor; for SEM: sem. Use help [command] to access documentation.
Yes, STATA is the industry-standard tool for panel data analysis. It handles fixed effects (xtreg, fe), random effects (xtreg, re), and dynamic panel models (xtabond, xtdpdsys — Arellano-Bond/Blundell-Bond estimators). The Hausman test (hausman) helps choose between fixed and random effects. Panel data is common in economics, finance, and public health dissertations where the same units are observed over multiple time periods.