EViews is a statistical package for Windows and MacOS, used mainly for time-series oriented econometric analysis. It is developed by Quantitative Micro Software (QMS), now a part of IHS. Version 1.0 was released in March 1994, and replaced MicroTSP. The TSP software and programming language had been originally developed by Robert Hall in 1965. The current version of EViews is 14, released in June 2024.
Features EViews can be used for general statistical analysis and econometric analyses, such as cross-section and panel data analysis and time series estimation and forecasting.
EViews combines spreadsheet and relational database technology with the traditional tasks found in statistical software, and uses a Windows GUI. This is combined with a programming language which displays limited object orientation.
EViews allows access to 3rd party time series data from multiple providers including: Thomson Reuters Datastream, Moody's Economy.com, Macrobond Financial, Haver Analytics, and CEIC.
Data formats EViews relies heavily on a proprietary and undocumented file format for data storage. However, for input and output it supports numerous formats, including databank format, Excel formats, PSPP/SPSS, DAP/SAS, Stata, RATS, and TSP. EViews can access ODBC databases. EViews file formats can be partially opened by gretl.
Stationarity of data EViews helps researchers detect unit roots in their data series. Multiple unit root tests are available in the research software, including Dickey–Fuller, Phillips–Perron, Kwiatkowski–Phillips–Schmidt–Shin and Elliott, Rothenberg and Stock Point-Optimal tests.
Estimation EViews helps researchers and professionals to estimate linear equations and systems of linear equations models of time series and panel data with various methods. Eviews allows the user to assess econometric results easily.
Version +VersionRelease date1March 1994520045.1February 20056March 20077December 20098February 2013EViews8の販売を開始いたしました。(2013/2)8.1September 20149March 20159.5March 201610June 201710+October 201711April 201912November 202013August 202214June 2024
See also
Comparison of statistical packages Gretl GNU Octave Matlab R SAS Scilab SPSS Stata
References
Further reading
External links