I have transportation data with a year variable, categorical and continuous variables. I tried to create a cross section by concatenating all the categorical variables together then regress on the continuous variables with revenue as my dependent variable using Pooled OLS. Unfortunately, i have serial correlation in my model and i am not able to remove the serial correlation. Alternatively, i was thinking of looking at just one year of data or treating the data as a single cross section, including year dummy variables and selecting specific categorical variables as additional dummy variables to determine the effect on revenue. Any issues with that approach or alternative recommendations? Also, its worth noting that i had to remove 15% of my data to ensure each cross section that i created had a year from 2011-2017 to allow me to run the proc panel in SAS.

MATLAB: An Introduction with Applications
6th Edition
ISBN:9781119256830
Author:Amos Gilat
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Chapter1: Starting With Matlab
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I have transportation data with a year variable, categorical and continuous variables. I tried to create a cross section by concatenating all the categorical variables together then regress on the continuous variables with revenue as my dependent variable using Pooled OLS. Unfortunately, i have serial correlation in my model and i am not able to remove the serial correlation. Alternatively, i was thinking of looking at just one year of data or treating the data as a single cross section, including year dummy variables and selecting specific categorical variables as additional dummy variables to determine the effect on revenue. Any issues with that approach or alternative recommendations? Also, its worth noting that i had to remove 15% of my data to ensure each cross section that i created had a year from 2011-2017 to allow me to run the proc panel in SAS.
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