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EViews 8: Statistical forecasting software
EViews offers academic researchers, corporations, government agencies, and students access to powerful statistical, forecasting, and modelling tools through an innovative, easy-to-use object-oriented interface.
EViews blends the best of modern software technology with cutting edge features. The result is a state-of-the art program that offers unprecedented power within a flexible, easy-to-use interface.
Explore the world of EViews and discover why its the worldwide leader in Windows-based econometric software and the choice of those who demand the very best.
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Developer: Latest release: Operating systems: Type: |
IHS EViews EViews 8.0 (February 2013) Windows Statistical forecasting software |
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Overview
A combination of power and ease-of-use make EViews 8 the ideal package for anyone working with time series, cross-section, or longitudinal data. With EViews, you can quickly and efficiently manage your data, perform econometric and statistical analysis, generate forecasts or model simulations, and produce high quality graphs and tables for publication or inclusion in other applications.
Featuring an innovative graphical object-oriented user-interface and a sophisticated analysis engine, EViews blends the best of modern software technology with the features you’ve always wanted. The result is a state-of-the art program that offers unprecedented power within a flexible, easy-to-use interface.
Find out for yourself why EViews is the worldwide leader in Windows-based econometric software and the choice of those who demand the very best.
- An intuitive, easy-to-use interface
- Powerful analytic tools
- Sophisticated data management
- Presentation quality output
- Traditional command line and programming interface
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New features in EViews 8
EViews 8 offers a extensive array of powerful features for data handling, statistics and econometric analysis, forecasting and simulation, data presentation, and programming. While we can possible list everything, the following list offers a glimpse at the important EViews features:
For more information, you can also download a PDF highlighting What’s New in EViews 8 here »
General
- 64-bit EViews - work with much larger data sets
- Improved workfile details and comparison tools
- User-defined objects
- Add-ins support for version handling
- Enhanced dialog edit fields with auto-completion and interactive expansion
Data Handling
- Powerful new spreadsheet editing tools
- Group data comparison tools
- Auto-series defined across workfile pages
- Enhanced dated data table customisation with full command line support
- Write and update support for Excel XLSX files
- Transposed foreign data importing (including XLSX files)
- Custom object attributes
- Support for connecting to the CEIC database
Graphs & Tables
- Custom slider controls let you interactively change the visible sample for graphs
- Custom lines and arrows can be drawn in graphs
- Users may specify their own fit lines in scatter plots
- Graphs, tables, and spools can now be saved in PDF format
- OLE - Graphs and tables can be pasted as embedded objects or links into third-party applications such as Microsoft PowerPoint, Word and Excel
- Tables offer enhanced command line customisation support
Models
- Improved model data editing
- Powerful new solution comparison tools
- Many new model commands allowing greater manipulation of models in programs
Programming Support
- Program editor and execution enhancements
- A large number of new functions, commands and object data members
- Added matrix language tools
- User-defined objects let you create structures containing multiple EViews objects
- Optimisation of general user-defined functions
Econometrics & Statistics
Computation & Estimation
- Error-Trend-Seasonal exponential smoothing (Hyndman et al., 2002 and Hyndman et al., 2008)
- Census X-13
- Panel series covariances
- Panel series principle components
- Switching regression (both exogenous and Markov, with support for Hamilton (1999) autoregressive error models)
- Bayesian VARs (with support for four different priors)
- Robust least squares: M-estimation (Huber, 1973), S-estimation (Rousseeuw and Yohai, 1984), and MM-estimation (Yohai 1987)
- Breakpoint regression: automatic selection (Bai, 1997; Bai and Perron, 1998; Liu, Wu, and Zideck, 1997), and user-specified
- Panel cointegration estimation: Fully Modified OLS (Pedroni 2000), and dynamic ordinary least squares estimators (Kao and Chiang, 2000; Mark and Sul, 2003)
- Heckman (1979) selection models with support for maximum likelihood and two-step estimation
- User-defined optimisation
Testing & Diagnostics
- Multiple breakpoint testing: (Bai, 1997; Bai and Perron, 1998; Liu, Wu, and Zideck, 1997)
- Panel serial correlation tests (Arellano-Bond, 1991)
- Basic panel causality testing (Dumitrescu-Hurlin, 2012)
- Heteroskedasticity and autocorrelation consistent (HAC) covariances in GLM
- Enhanced quantile regression process graphs and testing
Miscellaneous
- ARMA specification of multiple lags by range
- User-specified default coefficients for models specified by list
- Automatic computation of robust Wald statistic for non-intercept coefficients in models estimated with White or HAC covariances
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EViews capacity
| EViews 8 |
| Maximum observations per series (32bit version) | 4 million (by default), may be increased up to 15 million, if desired, subject to memory restrictions | |
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| Maximum observations per series (64bit version) | 120 million | |
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| Total observations: (series x obs per series) | Limited only by available RAM | |
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| Maximum objects per workfile | Limited only by available RAM | |
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| Maximum objects per database | Limited to 10 million objects, 64 gigabytes or available disk space | |
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| EViews 7 Student Version* |
| Maximum observations per series | 4 million (by default), may be increased if desired, subject to memory restrictions (saving and exporting are only available for dataset with fewer than 1,500 observations per series*) | |
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| Total observations: (series x obs per series) | Limited only by available RAM (saving and exporting are only available for dataset with fewer than 15,000 total observations*) | |
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| Maximum objects per workfile | Limited only by available RAM (saving and exporting are only available for workfile with fewer than 60 objects*) | |
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| Maximum objects per database | Cannot save/store data into database, but can fetch/read from one | |
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*Note: The Student Version places “soft” capacity restrictions on the amount of data (1,500 observations per series, 15,000 total observations, 60 objects) that may be saved or exported. Students may, without restriction, work with larger amounts of data, but workfiles that exceed the soft limits may not be saved nor the data exported.
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System requirements
| EViews 8 System Requirements |
| CPU | Pentium or better | |
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| Operating system | Windows 2000, Windows 2003, Windows XP (32bit or 64bit*), Windows Vista (32bit or 64bit*), Windows Server 2008 (32bit or 64bit*), Windows 7 (32bit or 64bit*), Windows 8 (32bit or 64bit), Windows Server 2008 (32bit or 64bit*) | |
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| Memory | 32 MB for Windows 98, Me or NT 64 MB for Windows 2000, 2003 256 MB Windows XP 512 MB Windows Vista or Windows 7 or Windows 8 |
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| Disk space | 270 MB of available hard disk space for the EViews executable, supporting files, full documentation, and example files | |
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| Hardware | CD-ROM | |
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*Note: Although EViews 7 and 8 will run on 64bit operating systems, only EViews 8 comes in a 64bit version. It should also be noted that the Excel add-in that comes with EViews 7 has a 32bit version only, and thus will not run under a 64bit version of Excel.
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Prices
| EViews |
| Commercial & Academic | Click here to view | |
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