Hello,
I am working with a panel dataset where the time variable is not in a standard format like years or months. Instead, it follows a "year-round-match" structure (in Sports economics, about tournament), for example:
Should I extract the year separately or handle the "year-round-match" structure in a specific way before declaring the panel data? Any advice or best practices from those who have handled similar cases would be greatly appreciated. (also I want to add fixed effects for round)
Thank you in advance for your help!
I am working with a panel dataset where the time variable is not in a standard format like years or months. Instead, it follows a "year-round-match" structure (in Sports economics, about tournament), for example:
- 19940908 (meaning 1994, 9th round, 8th match)
- 20000102 (meaning 2000, 1st round, 2nd match)
Should I extract the year separately or handle the "year-round-match" structure in a specific way before declaring the panel data? Any advice or best practices from those who have handled similar cases would be greatly appreciated. (also I want to add fixed effects for round)
Thank you in advance for your help!
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