Dear community,
I have a dataset of 115 completed observation rows (or event) of 75 different companies for the years 2004 to 2016. I have 6 independent variables and 3 control variables. As my dataset has a lot of missing values (each company has on average just 2 years of observation over the 13 years), I was advice to use the one-level mixed effect model.
However, one of my control variable is a lagged variable of the dependent variable. Does it work to include this lagged variable in my model using the mixed-effect? If yes, should I change something in my code and if not which model should I use?
Many thanks in advance for your answer.
Best,
Naomi
I have a dataset of 115 completed observation rows (or event) of 75 different companies for the years 2004 to 2016. I have 6 independent variables and 3 control variables. As my dataset has a lot of missing values (each company has on average just 2 years of observation over the 13 years), I was advice to use the one-level mixed effect model.
However, one of my control variable is a lagged variable of the dependent variable. Does it work to include this lagged variable in my model using the mixed-effect? If yes, should I change something in my code and if not which model should I use?
Many thanks in advance for your answer.
Best,
Naomi