I have the following definition for the survival distribution function (which gives the probability that a newborn survives to at least age $x$) under Makeham's Law:
$$ S_0(x) = P(X \geq x) = \exp \left( -Ax - \frac{B}{\log(c)}(c^x - 1) \right) $$
However, I've been playing with this formula using Python and have been unable to use it to produce realistic looking life tables.
I suspect that this is because I have no idea what values to use for the parameters $A, B$ and $c$. Could anyone please tell me what values might be assigned to these values in real world applications?
Honestly, I'm not yet an expert in real-world application, but in this book I found what they called "The Standard Ultimate Survival Model Makeham's law" that it is obtained by setting $$A= 0.00022, \,\ B = 2.7\times10^{-6}, \,\ c = 1.124.$$