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EViews Enterprise Edition 7.1 DT111110 Update Only.

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CategoryOffice Date21-11-2010, 22:28


EViews Enterprise Edition 7.1 DT111110 Update Only.

EViews Enterprise Edition 7.1 DT111110 Update Only | 20.65 MB


Econometric package Eviews provides a particularly complex and delicate instrument data processing, allows regression analysis, making forecasts in the Windows-oriented computing environment. With the help of the software can quickly detect the presence of statistical dependence in the analyzed data, and then, using the obtained relationship, to predict the study parameters.

It is advisable to allocate the following scope of Eviews:
1. analysis of scientific information and assessment;
2. financial analysis;
3. Macroeconomic forecasting;
4. modeling;
5. Forecasting the markets.
Particular opportunities opens Eviews when analyzing the data presented in the form of time series.
EViews is a modern statistical package, honed under the time-series analysis. EViews program has a convenient and friendly interface, easy to use and interpret the results. The structure of its fairly monolithic: you do not see here a number of modules, such as, for example, the package STATISTICA or SPSS.

In EViews offers a wide range of models and methods of econometric analysis:
- Methods: ARCH, Binary, Censored, Count, GMM, LS, NLS, Ordered, TSLS, ML
- Model: LRM, GRM, ARIMA, Logit, Probit, Tobit, VAR, ECM, VECM, Pooled model
Graphic capabilities of Eviews, despite its simplicity, provide the basic data formats necessary for successful work of the analyst.

Scope of the Eviews package covers all aspects of modern theory and practice of business. EViews allows you to work with different types of variables, but the best of his opportunities opening in solving the problem of forecasting the quantitative indicators, representing a time series. High functionality in the processing of quantitative variables, Eviews as a reliable tool for forecasting sales, the dynamics of resources, financial performance. It should be noted that the package Eviews ęsewn up" quite a full arsenal of methods to detect and combat typical posed above problems:
- Heteroscedasticity (HC NW, HAC White, ARCH-LM, White)
- Autocorrelation (DW, LM-test)
- Non-stationarity and the presence of cointegration (DF, ADF, cointegration test)
Built-in tests (Chow forecast, Chow breackpoint, Ramsey reset) will test the hypothesis of structural change. Similar problems can be solved in EViews, using, for example, Wald's test, or different versions of tests on identical parameters. Granger causality test can accurately justify the chosen direction of causation. For financial time series prediction EViews, in addition to traditional predictors allows the analysis of the response to impulses and modeling of conditional heteroskedasticity.
Eviews package allows you to work with eight types of data (annual, semiannual, quarterly, monthly, weekly (5 days), weekly (7 days), daily and dated observations). Also allowed to change from one type to another, using different procedures of interpolation and extrapolation. Talking about the possibilities of data management, note that EViews supports RATS, TSP, GiveWin and Aremos TSD files. You can import / export of ASCII, XLS, WK1, WK3, TSD. Eviews package allows you to record and run macros, which makes it possible to significantly reduce the time of execution of routine work.
EViews allows you to build the forecast immediately after building the model. A priori assessment of the adequacy of the model can be done using a "wired" in the package information criteria, log likelihood, ACF, PACF, etc. To test the predictive ability of the model allowed to use the mechanism of cross validation.


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