Xin Geng is a Research Statistician Developer in the SAS Econometrics group. He is passionate about panel data regression, nonparametric and semiparametric theory, and their practical applications. He holds a Ph.D. in Economics from the University of Colorado Boulder.
In a previous post, we explored the intricacies of panel data regression. We unveiled a range of panel models and demonstrated their application in estimating cigarette demand by using the CPANEL procedure. However, achieving reliable insights in the realm of panel data regression requires addressing practical challenges. These would include
Panel data are commonly used in today’s economics research. Panel data regression stands out as a powerful tool that aids in unraveling trends and patterns that evolve over time. This tool is particularly valuable when considering hidden factors in the investigations of cause-and-effect relationships. In this post, you will be
