EViews (short for Econometric Views) is a specialized software package for estimating and simulating econometric models. It was originally developed by Quantitative Micro Software (QMS) and later acquired by IHS Inc. in 2010. The software is widely used by economists worldwide for econometric analysis, forecasting, and statistical modeling. The official website for EViews is www.eviews.com.
As of the last available update, the latest version of EViews is EViews 10, though earlier versions like EViews 8 and EViews 9.5 remain widely used.
Key Features of EViews
EViews is designed to be user-friendly, supporting both programming-based and graphical user interface (GUI)-based workflows. It is particularly valuable for:
Econometric modeling and statistical analysis
Sales forecasting
Macroeconomic predictions
Cost analysis
Policy modeling and evaluation
With an intuitive GUI featuring windows, icons, buttons, and menus, users can perform advanced econometric, statistical, and graphical analyses without requiring programming skills.
1. Data Handling and Object-Oriented Structure
EViews is built around an object-oriented framework. Common objects include:
Series (time-series data)
Equations (regression models)
Systems (simultaneous equations)
Each object has its own window and predefined procedures, making it easy to execute complex econometric analyses.
The software supports seamless data import/export from multiple formats, including:
Excel (.XLS, .XLSX)
Text files (.TXT, .CSV, ASCII)
Databases and other statistical software
Unlike many econometric tools, EViews does not require knowledge of a specific programming language to use its built-in procedures.
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2. Statistical and Econometric Tests in EViews
EViews includes a comprehensive set of econometric and statistical methods, including:
2.1 Basic Statistical Analysis
Descriptive statistics (mean, median, variance)
Hypothesis testing (ANOVA, t-tests)
Distribution analysis using histograms and quantile plots
EViews supports a wide range of estimation techniques, including:
Ordinary Least Squares (OLS)
Two-Stage Least Squares (2SLS)
Nonlinear Least Squares (NLS)
Weighted Least Squares (WLS)
3.2 ARCH/GARCH Models
For modeling time-varying volatility, EViews supports:
ARCH(p) and GARCH(p,q)
EGARCH, TARCH, and PARCH models
3.3 Generalized Method of Moments (GMM)
Available for both time-series and panel data
Supports White and HAC covariance matrix estimation
3.4 Limited Dependent Variable Models
Probit, Logit, and Tobit models for censored and discrete data
4. Advanced Features
4.1 Vector Autoregressive (VAR) and Error Correction Models (VECM)
Impulse response functions (IRF)
Variance decomposition analysis
Cointegration testing with constraints
4.2 Panel Data Analysis
EViews provides a rich set of tools for panel data (longitudinal data), including:
Fixed effects and random effects models
Generalized least squares (GLS) for panel data
Dynamic panel estimators
4.3 State-Space Models & Kalman Filter
Supports estimation of dynamic time-series models
Can extract trends and cycles from noisy data
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5. Forecasting & Simulation
Static vs. Dynamic forecasting with confidence intervals
Monte Carlo simulations for scenario analysis
Solving simultaneous equation models using Gauss-Seidel and Newton-Raphson methods
6. Mathematical Expressions & Scripting
EViews contains a rich library of built-in mathematical functions for:
Lag and lead operations
Differencing and transformations
Algebraic and statistical calculations
The command line and scripting language allow advanced users to automate repetitive tasks.
Why EViews?
EViews is widely used in academia, research institutions, and financial sectors due to: ✅ User-friendly GUI (no programming required) ✅ Comprehensive econometric toolset (ideal for both beginners and experts) ✅ Fast and efficient handling of large datasets ✅ Seamless integration with Excel and other data formats ✅ Powerful forecasting & simulation capabilities
Its versatility makes it one of the most preferred econometric software solutions for time-series analysis, forecasting, and macroeconomic modeling.
