Stata vs LIMDEP

Struggling to choose between Stata and LIMDEP? Both products offer unique advantages, making it a tough decision.

Stata is a Office & Productivity solution with tags like statistics, data-visualization, econometrics.

It boasts features such as Wide range of statistical techniques, Customizable graphs and plots, Programming language to automate workflows, Import/export many data formats, User-written packages extend functionality, Powerful data management and cleaning tools, Publication-quality tables and regression output, Time series analysis, Panel data analysis, Survey data analysis, Simulation and resampling methods, High-quality documentation and help files and pros including Very comprehensive statistical capabilities, Flexible and customizable graphs, Automation through programming saves time, Handles large and complex datasets well, Great for econometrics and social science research, Active user community with packages and support.

On the other hand, LIMDEP is a Business & Commerce product tagged with econometrics, modeling, forecasting, regression, equations.

Its standout features include Regression analysis, Simultaneous equation models, Qualitative and limited dependent variable models, Time series analysis, Panel data analysis, Forecasting, Data manipulation and programming language, and it shines with pros like Wide range of econometric models supported, User-friendly interface, Good documentation and help files, Data management capabilities, Programming language for customization.

To help you make an informed decision, we've compiled a comprehensive comparison of these two products, delving into their features, pros, cons, pricing, and more. Get ready to explore the nuances that set them apart and determine which one is the perfect fit for your requirements.

Stata

Stata

Stata is a popular statistical software used widely in economics, political science, biomedicine, and other fields that require advanced statistical analysis and data visualization. It has a wide range of statistical techniques, customizable graphs, and programming capabilities.

Categories:
statistics data-visualization econometrics

Stata Features

  1. Wide range of statistical techniques
  2. Customizable graphs and plots
  3. Programming language to automate workflows
  4. Import/export many data formats
  5. User-written packages extend functionality
  6. Powerful data management and cleaning tools
  7. Publication-quality tables and regression output
  8. Time series analysis
  9. Panel data analysis
  10. Survey data analysis
  11. Simulation and resampling methods
  12. High-quality documentation and help files

Pricing

  • Subscription-Based
  • Academic Discounts Available

Pros

Very comprehensive statistical capabilities

Flexible and customizable graphs

Automation through programming saves time

Handles large and complex datasets well

Great for econometrics and social science research

Active user community with packages and support

Cons

Steep learning curve

Can be slow with extremely large datasets

Not as visually polished as alternatives

Proprietary software with ongoing license fees

Less commonly known outside of academics


LIMDEP

LIMDEP

LIMDEP is econometrics software used for economic modeling and forecasting. It has tools for estimating a wide variety of models including regression, simultaneous equations, qualitative response, time series, panel data, and more.

Categories:
econometrics modeling forecasting regression equations

LIMDEP Features

  1. Regression analysis
  2. Simultaneous equation models
  3. Qualitative and limited dependent variable models
  4. Time series analysis
  5. Panel data analysis
  6. Forecasting
  7. Data manipulation and programming language

Pricing

  • One-time Purchase
  • Subscription-Based

Pros

Wide range of econometric models supported

User-friendly interface

Good documentation and help files

Data management capabilities

Programming language for customization

Cons

Steep learning curve

Expensive licensing

Limited graphical capabilities

Not open source