It performs best for time series data analysis for agribusiness-related research
Rating: 10 out of 10
IncentivizedUse Cases and Deployment Scope
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.
Pros
- Useful for modeling and forecasting for agribusiness research
- Data is simple to import and manipulate
- Extensive collection of econometric tools and methods
Cons
- 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
Likelihood to Recommend
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.