Panel data, sometimes referred to as longitudinal data, is data that contains observations about different cross sections across time. Panel data exhibits characteristics of both cross-sectional data and time-series data. This blend of characteristics has given rise to a unique branch of time series modeling made up of methodologies specific to panel data structure. This blog offers a complete guide to those methodologies including the nature of panel data series, types of panel data, and panel data models.
The GAUSS Package Manager, first introduced in version 20, allows you to download, install and uninstall GAUSS packages without leaving GAUSS. It supports the paid GAUSS Application Modules, free GAUSS packages and even allows you to create custom packages and channels. This post will guide you through the basics needed to install and uninstall GAUSS packages.
This blog introduces the latest additions to GAUSS. Read it today to learn all about the newest GAUSS features for data analysis, now available in GAUSS 20.