I made the following logistic regression model for my master's thesis.
FAIL= LATE + SIZE + AGE + EQUITY + PROF + SOLV + LIQ + IND. Where I take a look if late filing of financial statements (independent variable) is an indicator of failure of small companies (dependent variable). FAIL is a dummy variable that is equal to 1 when a company failed during one of the researched years. I use data covering 3 years (2017, 2018 en 2019). Should I include a dummy variable YEAR, to account for year effects, or not. I have searched online but I don't understand what it exactly means and that is why I don't know if it is necessary to include it in this regression model. I hope you guys can help me.
Thank you in advance!
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Tom Raemdonck
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