Hi,
I'm currently using a dataset from an experimental game. I have 30 observations for each player, corresponding to 30 rounds played one after the other. My dependent variable is a dummy one, taking the value of 1 if the player cheated during the round, 0 otherwise.
So far, I've been using the basic reg command, with players' fixed effects to account for time-invariant (observable/non-observable) players' characteristics.
But I think my data are suitable to be considered as panel data (is it? Even if the observations are spread over a very short period of time (rather than days, months or years) ?). In that case, I was wondering whether it would be more appropriate to use xtprobit (without individual (players) fixed effects, as FE are not allowed using xtprobit), or xtreg (linear probability model) with players FE?
Any thoughts?
I'm currently using a dataset from an experimental game. I have 30 observations for each player, corresponding to 30 rounds played one after the other. My dependent variable is a dummy one, taking the value of 1 if the player cheated during the round, 0 otherwise.
So far, I've been using the basic reg command, with players' fixed effects to account for time-invariant (observable/non-observable) players' characteristics.
But I think my data are suitable to be considered as panel data (is it? Even if the observations are spread over a very short period of time (rather than days, months or years) ?). In that case, I was wondering whether it would be more appropriate to use xtprobit (without individual (players) fixed effects, as FE are not allowed using xtprobit), or xtreg (linear probability model) with players FE?
Any thoughts?
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