EViews
EViews provides sophisticated data analysis, regression, and forecasting tools within an object-oriented interface designed for economists, financial analysts, and researchers needing professional statistical modeling capabilities.
Stata
Stata is a complete statistical software package that provides everything you need for data manipulation, visualization, statistics, and automated reporting to uncover meaningful insights from your complex datasets.
Quick Comparison
| Feature | EViews | Stata |
|---|---|---|
| Website | eviews.com | stata.com |
| Pricing Model | One_time | Subscription |
| Starting Price | $99/month | $18/month |
| FREE Trial | ✓ 30 days free trial | ✓ 7 days free trial |
| Free Plan | ✘ No free plan | ✘ No free plan |
| Product Demo | ✓ Request demo here | ✓ Request demo here |
| Deployment | ||
| Integrations | ||
| Target Users | ||
| Target Industries | ||
| Customer Count | 0 | 0 |
| Founded Year | 1994 | 1985 |
| Headquarters | Irvine, USA | College Station, USA |
Overview
EViews
EViews offers a powerful interface for econometric analysis, forecasting, and simulation. You can manage your data, perform statistical analysis, and generate professional-quality graphs and tables within a single, integrated environment. The software is designed around an object-oriented concept, meaning you can work with data series, equations, and models as distinct entities that update automatically when your underlying data changes.
You can handle complex time-series data, panel data, and cross-sectional data with ease. Whether you are a student, an academic researcher, or a professional in the financial sector, you can use its specialized tools to build sophisticated models without needing to write extensive code. It bridges the gap between spreadsheet-like ease of use and the power of traditional programming languages.
Stata
Stata provides you with a integrated environment for data science, allowing you to move seamlessly from data ingestion to publication-quality reporting. You can manage complex datasets, perform advanced statistical analyses, and create beautiful visualizations using either a point-and-click interface or a powerful command language. Whether you are conducting simple descriptive statistics or complex multi-level modeling, the platform ensures your results are accurate and reproducible.
You can automate your entire workflow using integrated versioning, which guarantees that scripts written years ago will still run perfectly today. The software is widely used across various fields including economics, sociology, political science, and biomedicine. It scales to meet your needs, offering specialized versions that can handle massive datasets with billions of observations and thousands of variables on multi-core computers.
Overview
EViews Features
- Object-Oriented Interface Manage your data as dynamic objects that automatically update your results and graphs whenever you change the source information.
- Advanced Time-Series Tools Estimate complex models including ARIMA, GARCH, and VAR to identify trends and volatility in your financial or economic data.
- Automated Forecasting Generate reliable forecasts using built-in procedures that select the best models for your specific data patterns automatically.
- Professional Graphing Create presentation-quality charts and tables with deep customization options to visualize your findings for reports or publications.
- Panel Data Analysis Analyze datasets that combine cross-sections and time periods using specialized estimators for fixed and random effects.
- External Data Linking Connect directly to external databases like Bloomberg, FRED, or Excel to keep your analysis synced with live market data.
Stata Features
- Automated Reporting. Create dynamic documents that combine your analysis results, text, and graphs into Word, PDF, Excel, or HTML files automatically.
- Advanced Visualization. Generate publication-quality graphs and customize every detail of your charts to communicate your data findings effectively to your audience.
- Data Management. Clean, merge, and reshape your datasets with a comprehensive suite of tools designed to handle even the most complex data structures.
- PyStata Integration. Call Python code directly from within Stata and pass data between the two environments to expand your analytical capabilities.
- Reproducible Research. Use integrated versioning to ensure your scripts produce the exact same results every time, even as the software updates over years.
- Extensive Statistics. Access hundreds of built-in statistical tools ranging from standard linear regression to advanced Bayesian analysis and multi-level modeling.
Pricing Comparison
EViews Pricing
- Discounted for students and faculty
- Full econometrics toolset
- Standard data handling limits
- Available for Windows and Mac
- Valid for one year
- Perpetual ownership license
- Full statistical and graphing suite
- Unlimited data series capacity
- Access to EViews programming language
- Standard technical support
Stata Pricing
- Handle up to 2,048 variables
- Process up to 2.1 billion observations
- Full suite of statistical features
- Standard technical support
- PDF documentation included
- Everything in BE, plus:
- Handle up to 32,767 variables
- Analyze larger datasets with ease
- Support for longer string variables
- Enhanced performance for complex models
Pros & Cons
EViews
Pros
- Intuitive interface for those moving from Excel
- Industry standard for time-series and econometric modeling
- Excellent documentation and active community support forums
- Fast processing of large statistical datasets
- High-quality output for academic journal submissions
Cons
- Steep price point for individual commercial users
- Mac version can feel less native than Windows
- Limited machine learning capabilities compared to R
Stata
Pros
- Exceptional technical documentation and community support
- Superior command-line interface for fast analysis
- Rock-solid reproducibility with built-in version control
- Extremely stable and reliable for large-scale research
- Easy to learn for those with basic coding knowledge
Cons
- Interface feels dated compared to modern web apps
- Graphics customization can require complex coding
- Licensing costs are high for individual users
- Limited machine learning capabilities compared to R or Python