THE CLASSIC ASSUMPTION TEST (AUTOCORRELATION, HETEROSCEDASTICITIY, MULTICOLINERITY AND NORMALITY) FOR PANEL DATA (WITH SPSS, EVIEWS AND STATA)
Before I speak further, first you must promise to read this article in the DATE and in order that you will not get lost! I am pretty sure you are now in a very difficult position, difficult to find tutorials both on blog and on youtube about classical assumption test tutorial for panel data you have. This is for one basic reason: "CLASSIC ASSUMPTION TEST" LOGIC THAT YOU NOT FULLY UNDERSTAND. This may be due to several reasons: your lecturer never teach you or your lecturer teach you well but instead you open Instagram in the class’ corner, Haha. Okay, before we talk about the classical assumption test, first i have to make sure that the data you have is the data panel. As we know, panel data is a combination of cross section data and time series data. As an example of my data as follows: The data above is an example of panel data, with cross section units in the form of bank’s stock codes (AGRO, BABP, BACA, etc.) and with time series units in t
