I'm trying to compute the point of indifference (as in Kubota et al 2014. "The Price of Racial Bias: Intergroup Negotiations in the Ultimatum Game") in the third party ultimatum game but I'm facing some problems due the specific design of the third party version of the task.
The computation is pretty easy in the standard version of the ultimatum game but in the third party version it is not so straight forward given the symmetry of the decision function.
We can empirically find 2 points of indifference, one below and one above the equal split (50%, 50%). Both points lay on a probability function with high values around the equal split and low values on both tails. Such function will never be fitted by any logistic or binomial function therefore, I tried to split the data two differnt datasets containing above-equality or below-equality levels of the splits and compute points of indifference separatedly. However, I often find subjects that accept or reject all the offers so the function fits very poorly the data. This produces aberrant values such as very extreme point of indifference (eg. 1000000 dollars in a task with splits of 10 dollars).
Does anyone know how to obtain reliable points of indifference?
Thanks,
marco