LIVE ONLINE TUTORING FOR ECONOMICS AND POLICY RESEARCH STUDENTS

Stata Tutoring for Students Who Are Tired of Guessing at the Command Line

Stata does not hold your hand. One wrong option in a regression command and it returns a result that looks perfectly reasonable and is completely wrong. Our Stata tutors work through your do-file with you line by line, so you know what every command is doing and why you chose it.

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4.8 out of 5 based on 442 genuine customer reviews

Stata Support That Reads Your Code, Not Just Your Output

Most Stata problems are not statistics problems. They are a merge that silently dropped 400 observations, a categorical variable Stata is treating as continuous, or standard errors that ignore your clustered design. We find those with you, in your own do-file, in real time.

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Tutors Who Work in Stata Daily

Our Stata tutors come from economics, epidemiology and policy research backgrounds. They write do-files for their own work, so they know the failure modes that never appear in a textbook.

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Your Do-File, Your Session

Share your screen and we debug the actual code. You will leave understanding your own script rather than holding a corrected file you cannot explain.

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Reproducibility Built In

Learn to write do-files and logs that run start to finish on a clean machine, which is what supervisors, journals and replication packages increasingly demand.

What We Actually Help You Do in Stata

Pick the stage where your project stalled. Everything below is something students bring to a session, from a merge that quietly dropped half the sample to a regression that runs fine and answers the wrong question.

Importing awkward files

Get Excel, CSV, Sav or fixed-width data into Stata without mangling dates, dropping leading zeros or importing numbers as strings.

import excel · import delimited

Merging without losing cases

Use the merge variable properly and read _merge afterwards, so you notice when 400 observations quietly failed to match.

merge · joinby · _merge

Reshaping your data

Move between wide and long format for panel or repeated-measures work, and fix the errors reshape throws when your IDs are not unique.

reshape long · reshape wide

Cleaning and recoding

Handle missing codes such as 99 or -999 before they enter your means, and build derived variables that survive a rerun.

recode · egen · gen

Labels and value labels

Label variables and categories so your output and tables read properly instead of showing v17 and a column of bare numbers.

label define · label values

Working by group

Collapse, aggregate and run commands across groups without writing the same line twenty times.

bysort · collapse

Linear regression

Specify the model, use factor variable notation for categories and interactions, and read the output with confidence.

regress · i.var · c.var##c.var

Binary and categorical outcomes

Choose between logit, probit and multinomial models, and understand why raw coefficients are not the answer to your question.

logit · probit · mlogit

Panel data

Declare your panel, weigh fixed against random effects, and know what the Hausman test does and does not settle.

xtset · xtreg, fe · hausman

Endogeneity and IV

Work through instrument choice, first-stage strength and weak instrument tests when OLS will not identify the effect.

ivregress 2sls · estat firststage

Standard errors that fit

Apply robust, clustered or bootstrapped errors to match your design, rather than reporting whichever Stata gave you by default.

vce(robust) · vce(cluster id)

Survey and weighted data

Declare complex survey designs so weights, strata and clustering are carried into every estimate you report.

svyset · svy: regress

Reading the error message

Decode the classics, from no observations to type mismatch to varlist not allowed, and learn what each one is really pointing at.

r(2000) · r(109) · r(101)

Missing observations

Find out why your regression N is far lower than your sample, usually listwise deletion on a variable you forgot about.

misstable summarize

Dropped variables

Understand why Stata omitted a term for collinearity and whether that is harmless or a sign the model is misspecified.

omitted · estat vif

Post-estimation checks

Test for heteroskedasticity, serial correlation and functional form instead of hoping the marker does not ask.

estat hettest · estat ovtest

Results that look wrong

A coefficient with the wrong sign or an impossible magnitude usually traces back to coding, scaling or a bad merge, not the model.

Installing community commands

Get commands such as estout, outreg2 or reghdfe installed and running when your network or university machine blocks them.

ssc install

Writing a proper do-file

Structure a script that runs top to bottom on a clean machine, so your results are reproducible rather than a memory of what you clicked.

do · log using

Interpreting with margins

Turn coefficients into predicted probabilities and marginal effects you can state in a sentence a non-economist understands.

margins · marginsplot

Regression tables

Export publication-ready tables straight into Word or LaTeX instead of retyping coefficients and introducing errors.

esttab · outreg2

Graphs for your paper

Build and format graphs that meet your department's presentation standards and export cleanly at the right resolution.

twoway · graph export

Loops and macros

Replace forty near-identical lines with a loop, which cuts both your typing and the copy-paste mistakes that come with it.

foreach · forvalues · local

Defending your analysis

Practise explaining your estimation strategy and diagnostics so you can answer a supervisor or viva panel without hesitating.

Not sure which stage your problem sits at? Send us your do-file and log, and we will tell you before you book.

How 1:1 Stata Live Tutoring Works

Your session can focus on one urgent question or form part of a longer learning plan. Common areas of support include:

Student Sign-Up

Student Sign-Up

Create an account on our platform powered by Teachworks LMS by sharing your academic needs, availability, and learning preferences.

Student Portal Access

Student Portal Access

Receive your secure login credentials and access your personalized student portal to manage your sessions, tutors, and learning progress.

Select Your Subject/Tutor

Start Learning

Book your session, complete your secure payment via Stripe, and join your live, interactive lesson to begin your learning journey.

Start Learning

Plan Your Next Step

Leave with clearer priorities, suggested practice and the option to book further sessions.

Stata Software Tutoring Pricing Plans

Foundation Year (UK) Tutoring

$60 Per hour

Ideal for students needing help with basic or entry-level college material.

  • Fundamental concept clarification
  • Personalized study strategies
  • Weekly progress reviews

Undergraduate Tutoring

$75 Per hour

Tailored support for core and elective undergraduate courses.

  • Coursework assistance
  • Concept deep dives
  • Assignment help & feedback

Graduate Tutoring

$85 Per hour

Designed for master's level coursework and capstone projects.

  • Advanced subject tutoring
  • Research support
  • Exam prep and mentorship

PhD/Research Tuition

$100 Per hour

Elite academic coaching for doctoral-level work and publications.

  • Thesis and dissertation guidance
  • Journal paper prep and review
  • Long-term academic planning
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Send Your Do-File and the Error It Throws

Tell us what you are estimating, where the code breaks or the results look wrong, and when you are free. Attach the do-file, the log and the brief if you have them. We will read it before we reply and match you with a tutor who works in your area.

No guaranteed grades. No completed assignments. Educational tutoring only.

What Our Students Say

Feedback from students across the UK and US we have supported with Stata software, statistical analysis and research projects.

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FAQs About Stata Tutoring

Our Stata tutoring covers data management, do-file writing, regression and panel data estimation, diagnostics, interpreting results with margins, and exporting publication-ready tables. Sessions are built around your own dataset and code rather than generic worked examples.

Send us your do-file, your dataset if you can share it, and a description of what is going wrong. We read it before replying, match you with a Stata tutor from the right field, and book a live session at a time that suits you.

Recent versions of Stata BE, SE and MP on Windows, Mac and Linux, including university licences. Mention your version when you book, since some commands and options differ between releases and a few community commands from SSC need installing first.

That is the most common reason students book Stata support. A merge that dropped observations, a variable Stata is reading as a string, or missing values coded as 99 will all produce output that looks fine and means nothing. We trace it with you so you can spot it yourself next time.

Yes. Stata dissertation support usually covers choosing an estimation strategy, justifying it in your methodology, running diagnostics and presenting results. The analysis stays your own work, guided by a tutor who explains the reasoning.

Not at all, and it is a very common starting point. Sessions can begin with the logic of do-files and Stata syntax before touching anything advanced. Most students find the command line faster than menus within a few weeks.

Your do-file, the log file showing the error, the assignment brief or research question, and one line on what you have already tried. That way the session goes on the problem rather than on setup.