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STATA 17 - Das statistische Referenz-Softwarepaket, ein Muss für Ihre gesamte Datenverarbeitung.

Fast. Specific. Easy to use. Stata is a complete and integrated software that meets all your data science needs: data manipulation, visualization, statistics and automated reporting.

  • 5
  • gute Gründe, dieses Produkt zu verwenden

  1. - Komplette Statistiksoftware
  2. - Einfach zu erlernen und zu bedienen
  3. - Referenzsoftware für Ökonometrie, Epidemiologie und Untersuchung
  4. - Technischer Support und umfangreiche Dokumentation
  5. - Einfache und schnelle Verarbeitung von voluminösen Datensätzen
Discover the new features of STATA 17 >

Why Choose STATA?


Complete software (Data manipulation, visualization, statistics, automated reporting) for

  • Econometrics
  • Epidemiology
  • Investigation
  • Behavioral sciences
  • Biostatistics
  • Data science
  • Economics
  • Institutional research
  • Medecine
  • Political science
  • Education
  • Finance, business and marketing
  • Public health
  • Public policy
  • Sociology

Data Management:
Import / export, data processing, ODBC support, data games, specific data management (transverse data: panel data, time series, longitudinal data, cross-sectional data, etc.)

Main statistic features :
Contrast, pairwise, comparison and margins, Epiepidemiology, GMM, longitudinal data / panel data, Bayesian analysis, Structural Equation Modelling (SEM), Investigation of Surveys, Treatment effects, Temporal Series

Quality graphical output for your publications and reports: 


Reproducibility, Tests, Certification (FDA):

  1. Reproducibility between different operating systems and different editions of Stata
  2. Controls and functions tested, verified and certified
  3. FDA certified for submissions to regulatory agencies

Simple to use and easy to learn, even for non-programmers
Technical support from StataCorp:

  1. As a registered user of the current release of Stata (Stata 17), you are entitled to technical assistance should you have any questions
  2. Rapid, accurate and detailed responses
  3. Response by researchers and subject matter experts (Masters, PhD)

Documentation, sharing of resources, community of users:

  1. 33 manuals with over 17,000 pages
  2. User forum, Stata researchers blog, user-written commands
  3. Stata Journal: Class A review
  4. International Stata conferences

1 complete package without additional modules
Compatible with any platform (Windows, Mac, Linux)
Fast and adapted to the engine power and volume of data to be processed (Stata BE / SE / MP):

  1. Stata / BE: Basic edition; for mid-sized datasets
  2. Stata / SE: Standard edition; for larger datasets
  3. Stata / MP:The fastest edition of Stata (for quad-core, dual-core, and multicore/multiprocessor computers) that can analyze the largest datasets

Affordable prices


Stata is not sold in modules, which means you get everything in one package!

Stata offers several purchase options to fit your budget. You can choose an annual license to ensure you always have access to the latest features, or you can choose a perpetual license. Contact a sales representative or browse our products to find out more about our affordable options.


Software Nb. max.
of variables

Nb. max.


Nb. max.

Design for

parallel computing?

Stata/MP 120 000 65 532 20 milliards* yes Yes Win, Mac
or unix
Stata/SE 32 767 10 998 2,14 milliards* Yes No Win, Mac
or Unix
Stata/BE 2 048 798 2,14 milliards* Yes No Win, Mac
or Unix



Stata 17




Data management

Data processing, match-merge, data import/export, ODBC, SQL, XML, by treatment group, add files, sorting, line transposition, labeling, and saving results, and much more.



Curves, scatter plot, histograms, pie charts, hi-lo graphics, lines of contours, graphics editor, diagnostic regression diagrams, non-parametric smoothing, the distribution of Q-Q graphs, and much more.

Basic statistics

Summaries, cross-tabs, correlations, t tests, equal variance tests, proportions tests, confidence intervals, factorial variables, and much more...


Graphical user interface

Results window, Control window, Review window, Data editor, Variable header, Publisher Ne-file, Variable properties, Viewer, Clipboard preview tool, Menus/dialogs for all commands, Multiple preferences, and much more...

Longitudinal data / Panel data

Random and fixed effects with robust standard errors, linear mixed models, random-effects probit, GEE, random- and fixed-effects Poisson, dynamic panel-data models, and regression of instrumental variables; AR (1) perturbations, and much more...


Time series

ARIMA, ARFIMA, ARCH/GARCH, VAR, VECM, multivariate GARCH, unobserved-components model, state-space models, business calendars, forecasts, impulse-response functions, unit-root tests, smoothers, and much more...

Multilevel mixed-effects models

Continuous and binary results; crossed random-effects; ML and REML estimation; residual error structures, support for survey data in multilevel linear models, and much more...


Survey methods

Bootstrap, BRR, jackknife, linearized, and SDR variance estimation; poststratification; DEFF; predictive margins; averages, proportions, ratios, totals; summary tables; instrumental variables, probit, Cox regression, and much more...


Balanced and unbalanced designs; factorial, nested, and mixed designs; repeated measures; marginal means; contrasts, and much more...


Survival analysis

Kaplan-Meier and Nelson-Aalen estimators, Cox regression (frailty), parametric models (frailty); competing-risks; covariates; left-, right-, and interval-censoring, Weibull, exponential, and Gompertz models Sampling weights and survey data, and much more...

SEM (Structural equation modeling)

Graphical model builder, standardized and unstandardized estimates, modification indices, direct and indirect effects, path diagrams, factor scores and other predictions, estimates with invariance groups and testing, fit quality, MAR data manipulation by FIML, survey data, aggregated data, and much more...


Tests, predictions and effects

Wald tests, LR tests; linear and nonlinear combinations, predictions and generalized predictions, marginal means, least-squares means, adjusted means; marginal and partial effects; Hausman tests, and much more...

Multivariate methods

Factor analysis, principal components, discriminant analysis, rotation, multidimensional scaling, Procrustean analysis, correspondence analysis, biplots, dendrograms, and much more...


Contrasts and pairwise comparisons

Compare means, intercepts, or slopes, compare with adjacent categories; compare with reference category or grand mean; orthogonal polynomials, multiple-comparison adjustments; interaction effects, graphical effects and potential results, and much more..

Generalized linear models (GLM)

Ten links functions, user-defined links, seven distributions, ML and IRLS estimation, nine variance estimators, seven residuals, and much more...



Standardization of rates, case-control, cohort, matched case-control, Mantel-Haenszel, pharmacokinetics, ROC analysis, ICD-9-CM, and much more...

Non-parametric methods

Wilcoxon-Mann-Whitney ranking, Wilcoxon, and Kruskal-Wallis tests; Spearman and Kendall correlations; Kolmogorov-Smirnov tests; Exact binomial CIs; Survival data, ROC analysis; Smoothing; Bootstrapping, and much more...


Other statistical methods

Sample size an weight, Kappa measure of interrater agreement, Cronbach's alpha, mathematical and statistical functions, and much more...

Accurate statistics

Logistic and exact Poisson regression, exact case-control of statistics, binomial tests, exact Fisher test for r × c tables, and much more...


Nonlinear GMM regression

Generalized method of moments (GMM), non-linear regression, and much more...

Resampling and simulation methods

Bootstrap, jackknife, and Monte Carlo simulation, permutation tests, and much more...


Maximum likelihood

User specified functions; NR, DFP, BFGS, BHHH; OIM, OPG, robustness, bootstrap, and jackknife; Wald tests; survey data; numeric or analytic derivatives, and much more...

Internet capacity

The possibility of installing new commands, web updates, sharing of web files, the latest news from Stata, and much more...


Programming language

Adding new commands, script command, if, while, analysis command, debugging, menu and programming dialog, markup and language control, and much more...

User written commands

For meta-analysis, data management, survival, econometrics, and much more...


Installation qualification

QI report for regulatory bodies such as FDA, verification of the accessibility of the facility for disabled persons.

Stata is a registered trademark of StataCorp LLC, College Station, TX, USA, and the Stata logo is used with permission from StataCorp.

Die neuen Funktionen



Faster Stata

Stata values accuracy and it values speed. There is often a tradeoff between the two, but Stata strives to give users the best of both worlds. In Stata 17, the algorithms behind the sorting and collapse have been updated to make these commands faster.

The speed of some estimation commands such as mixed, which fits multilevel mixed effects models, has also been improved.


Users have been asking for better tables. Here they are!

You can easily create tables that compare regression results or summary statistics, you can create styles and apply them to any table you build, and you can export your tables to Word, PDF, HTML, LaTeX, Excel, or Markdown and include them in reports.

The table command is revamped. The new collect prefix collects as many results from as many commands as you want, builds tables, exports them to many formats, and more. You can also point-and-click to create tables using the new Tables Builder.

Bayesian econometrics

Stata 17 now does Bayesian econometrics. Want to use probabilistic statements to answer economic questions, for example, Are those who participate in a job-training program more likely to stay employed for the next five years? Want to incorporate prior knowledge of an economic process?

Stata’s new Bayesian econometrics features can help!

Fit many Bayesian models such as cross-sectional, panel-data, multilevel, and time-series models. Compare models using Bayes factors. Obtain predictions and forecasts. And more! 

PyStata and Jupyter Notebook with Stata

What’s PyStata?

  • It is all the ways Stata and Python can interact. You could already call Python code from Stata.
  • Now you can call Stata (and Mata) from Python via a new pystata Python package!
  • The new package can be used together with the existing Stata Function Interface (SFI) module, making it even easier to interact between Stata and Python.
  • PyStata also provides you with access to Stata from within a Jupyter notebook.


And many other new features like:


Find all new Stata 17 features here.



  • Windows 10 *
  • Windows 8 *
  • Windows Server 2019, 2016, 2012, *

 (*) * 64-bit



  • Mac with Apple Silicon or 64-bit Intel processor
  • MacOS 11.0 (Big Sur) or newer for Macs with Apple Silicon and macOS 10.12 (Sierra) or newer for Macs with 64-bit Intel processors



  • Any 64-bit (x86-64 or compatible)
  • For xstata, you need to have GTK 2.24 installed



Package Memory (RAM) Disk Space
Stata/MP 4 GB 2 GB
Stata/SE 2 GB 2 GB
Stata/BE 1 GB 2 GB
    Stata for Unix requires a video card that can display thousands of colors or more (16-bit or 24-bit color)


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