If I have a set of data points, how can solve the curvelinear best fit equation for the Laffer Curve, -ax^2+bx=0?
Thank you for your time,
Dustin.
I'm not sure exactly with you're asking Dustbin
you have the data points and you want to find a model i.e. $\displaystyle \displaystyle f(x)=-ax^2+bx $ for these points or you want to solve $\displaystyle \displaystyle -ax^2+bx=0$ once you have the model?
It does, but it may give you one in the form of $\displaystyle y=ax^2+bx+c$ instead of a laffer curve i.e $\displaystyle y=ax^2+bx$
Therefore if tyou force the model to be $\displaystyle y=ax^2+bx$ and solve for a and b using two reliable points you may get a better fit.
Regression is a dark beast.
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