The UI was the best thing about Eviews. It made things much easier to digest and follow guides/tutorials on compared to having to learn a new programming language, all that was needed was an understanding of the statistical tests and underlying mathematical principles. Review collected by and hosted on G2.com.

Due to its more rigid and user friendly design, Eviews was not as customisable as other statistical packages, especially for graphical and data story telling functions. Review collected by and hosted on G2.com.

Best features:

1) Easy to learn and feature-rich programming language with integration with MATLAB/R/Python

2) An excellent model object capable of solving a large number of linear and non-linear simultaneous equations, including stochastic simulations

3) Great built-in tools for times series econometrics and forecasting: for example, perfect for estimating classical and Bayesian VARS, LASSO regressions, and ARCH models

4) State-space estimations and a Kalman filter

5) Features support to many important economic databases, such as FRED and Haver Analytics DLX

6) Decent customer support, with a fairly quick response to questions

7) Continues to develop/improve with every new edition

8) Can be used to run the Federal Reserve's FRB/US model Review collected by and hosted on G2.com.

1) Lacks many important features for cross-sectional analysis, or even Panel regressions. This makes its usefulness rather limited to time-series econometrics.

2) Bayesian estimation features need more development.

3) Started to include some machine learning tools, but they remain very basic

4) Weak debugging tools

5) The model solver(s) can struggle to find a solution if the model includes many forward-looking variables or highly non-linear equations Review collected by and hosted on G2.com.

Its simple output which is easy to interpret. The use of this software is simple and easy. Even a beginner can handle and understand it easily. The function of making model and adjusting according to your need is very convenient. The range of financial models is another positive aspect of this analysis tool. Setting the properties of each variable is simple. You can even copy paste your data from excel file or you can import csv file for inputting data. The output tables are so aligned and easy to interpret. Models like ARMA, GMM and others are very common in financial modeling and E-views gives you an opportunity to apply these models with few clicks on your data. It is easily available and easy to install on your system. The E-views manual is another important part which makes use of this software easy for researchers, analysts and students. Review collected by and hosted on G2.com.

Picture form model cannot b drawn which can more useful for analysis. The use of plots and graphs is not that much high like other statistical software. The major disadvantage of e-views for non-coding people is that they have to learn coding to generate output which is not easy for them. Now a days other software give you the chance to draw the model and just run it by using few clicks and get output. There is not need for coding variables. E-views lack this feature. Review collected by and hosted on G2.com.

I like the point and click interface which makes it easy to look for the options needed for the analyses. Data visualization options were adequate, and it was easy to conduct the diagnostics using the techniques integrated in the software. Review collected by and hosted on G2.com.

Compared to Stata, I feel that EViews is less customizable due to the point-and-click interface. On the other hand, Stata involves programming which allows the proficient user to add the needed techniques. Review collected by and hosted on G2.com.

It is straightforward to start using Eviews.

Can import data from almost any file format researchers, professors and students use.

All advances in econometric analysis are easy to perform using the menus.

It is simple and very intuitive in data presentation and manipulation to formats that are commonly used by all researchers (logs, lags, groups of variables, differences, etc.)

The visualization solutions are excellent. Review collected by and hosted on G2.com.

It may be time to introduce a Machine Learnign Environment within Eviews. In that case, it will be the only empirical software a researcher may need. Review collected by and hosted on G2.com.

Every programs are already set there. I can use it easily. Review collected by and hosted on G2.com.

I cannot create new programs or functions newly. Review collected by and hosted on G2.com.

We can build various statistical models in eviews such as regression, ARCH, GARCH models. As a PhD student, I have handled a big chunk of panel data using eviews. It gives various test results like normality test, Javq-Berra test, Durbin Watson test in no time. We can check issue of multicollinearity by checking VIF which is very crucial while applying any algorithms on data. It is also useful to handle time series data using ARIMA models. Review collected by and hosted on G2.com.

Although eviews is very good to handle time series data, it is not that efficient to handle pannel data when data sets are too large. Also, UI of eviews can be modified further. Review collected by and hosted on G2.com.

eviews really helped me work on data and research projects, with the 2 versions they have, eviews make it easier for me, the features are also easy to understand. and easy to apply with large data. Review collected by and hosted on G2.com.

it's just that sometimes there are problems when entering data, but it returns to the cleaning data that we have to do at the beginning. , and ensure that all data types are appropriate so that there is no misinterpretation of the data during the analysis process Review collected by and hosted on G2.com.

I like how eviews can handle complexity of data structure. I was able to do some transformations through scripts where there is a good result of statistical models like regression. This is very ideal for most time series data. Review collected by and hosted on G2.com.

There's not much debugging support compared to other statistical tools that I used like IBM SPSS Statistics. Review collected by and hosted on G2.com.

Simple to use; nice plots; most econometric technics (in particular for time series analysis) available in one place; well updated, interface to integrate Python/R/Matlab; connection to popular economic data sources. Review collected by and hosted on G2.com.

Native programming language not standard and not very fast; estimates of state space models tend to differ from all other software packages (SAS, STAMP, R/KFAS). Review collected by and hosted on G2.com.