It performs best for time series data analysis for agribusiness-related research
March 29, 2024

It performs best for time series data analysis for agribusiness-related research

Samira Islam Resmi | TrustRadius Reviewer
Score 10 out of 10
Vetted Review
Verified User

Overall Satisfaction with EViews

For time series-based data analysis in my research, I found it to be very appropriate. Using either individual or group format for database storage, E-views data files allow users to save the results in a single work file. Missing data can be produced by working with frequency filter options and data interpolation using it.
  • Useful for modeling and forecasting for agribusiness research
  • Data is simple to import and manipulate
  • Extensive collection of econometric tools and methods
  • For panel data analysis, it is not robust
  • There is a need to enhance table features
  • Obtaining results for arbitrary maximization or minimization may not be possible using the same algorithm
  • Numerous effective and potent statistics for our research project can be obtained
  • Can perform powerful functions with data if they comprehend the statistical and mathematical theory underlying forecasting
  • can carry out a wide range of statistical analyses, time series modeling, forecasting, and data manipulation tasks for our research project
Time-series data analysis is very accessible with EViews. It makes data analysis easier without requiring the writing of intricate scripts. A database frequently needs long-term computations of covariance and variance, where the errors are randomly distributed and represent a specific kind of sequence. For regression, time series analysis, and other statistical tasks, I found time series to be useful in my agribusiness research.

Do you think EViews delivers good value for the price?

Yes

Are you happy with EViews's feature set?

Yes

Did EViews live up to sales and marketing promises?

Yes

Did implementation of EViews go as expected?

Yes

Would you buy EViews again?

Yes

High-frequency data, with frequencies of hours and seconds, is needed for the database. There are also frequency options that are multi-year, bimonthly, fortnightly, ten-day, and daily. With a large database, this kind of data can be handled with the E-Views package. Using the nonparametric kernel, this software can compute long-run variances that are symmetric or one-sided.