Dear all,

For my thesis I have to research the causes of layoffs for (big) Belgian firms. Period 2011-2020: unbalanced panel data, but with gaps. Around 98k observations for layoff variable (dependent var).

Question:
To be able to give an adequate answer to my research question, I investigate 4 hypotheses. For the last 2 hypotheses I use seperate models. But for my first two hypotheses, "a decrease in productivity will increase the chance of a layoff" & "a decrease in profitability will increase the chance of a layoff", I was using just one xtlogit model:

Code:
Xtlogit layoff decreaseproductivity1y decreaseROA1y (control variables), fe
I was just wondering if this is the correct methodology that I'm following, or should I use seperate models for productivity and profitability aswell (just like I'm doing for my 3rth and 4th hypothesis)?

Kind regards,
Jordi