Data Analysis Using STATA Software

Integral Components

• Stata is a good tool for cleaning and manipulating data and comes with multiple operating system compatibility with code and windows interface. Make use of its excellent data management features for labelling and arranging your data.
• Handle all the statistical challenges inherent to time-series data including autocorrelations, common factors, cointegration test, granger causality, QLR test to detect unknown breaks, cross-correlation, serial correlation.
• Matrix Programming or Mata uses interactive features when you want to quickly perform matrix calculations, or you can use Mata when you need to write complex programs. It can perform operations on complex matrices and provide object-oriented approach.
• SATA offers publication-quality graphics with many graph styles, symbols and multiple fonts, interactive graphic features, regression fit graphs, distributional diagnostic plots, multivariate graphs and multiple output and export formats.
• STATA has various commands for doing logistic regression. With STATA you can eliminate any biased coefficient estimates or large standard errors in your conclusion which would otherwise hinder reliable and effective statistical results.