# is Pareto distribution exponential dispersion family and the form is unique?

I am trying to show that Pareto distribution with $$f(y;\alpha)=\alpha y^{-\alpha-1}$$ is exponential dispersion (ED) family which means that it can be rewritten as: $$f(y;\theta,\phi)= \exp\left\{\frac {y\theta-b(\theta)} {a(\phi)} + c(y;\phi)\right\}$$ with $$E[Y]=b^{\prime}(\theta)$$ and $$Var[Y]=b^{\prime\prime}(\theta)a(\phi).$$

What I found is there are multiple ways to rewrite the PDF in the exponential dispersion family form, but since I know that $$E[Y]=\frac {\alpha} {\alpha-1}$$ and $$Var[Y]=\frac {\alpha} {(\alpha-1)^2(\alpha-2)},$$ I can solve the differential equations to get $$b(\theta)=\alpha + {\rm log}(\alpha-1)$$ and $$a(\phi)=\frac {-\alpha} {\alpha-2}.$$ This suggests that the form of $$f(y;\theta,\phi)$$ is unique.

So, is the ED family form of the PDF for Pareto distribution unique? If so, what is the correct form?

• Your question is confusing as (a) you use three different notations for the parameter, ie $\alpha,\theta,\phi$ and (b) you use the same notation for $y$ in the Pareto and $y$ in the exponential family. Since $f(y;\alpha)=\exp\{\log(y)(-\alpha-1)+\log(\alpha)\}$, you get the natural representation. Note also that you are missing the indicator function in the Pareto density. Commented Nov 10, 2016 at 9:05
• Thanks! (a) I forgot to mention that this is a reparameterization, we can find $\theta$ and $\phi$ in terms of $\alpha$ (b) yes, this is the natural form for exponential family, but not in the form of ED as I illustrated above. Yes, I skip the indicator function $I(Y>1)$. Commented Nov 10, 2016 at 15:15
• You still didn't fix the missing indicator in the density. We need to know the range! Commented Oct 18, 2017 at 16:14
• Have you found the solution? Because, me either, I'm interested in showing that the GPD comes from EDM and I can't find a solution Commented Apr 1, 2019 at 21:05

You have given a Pareto density with a fixed lower limit of range 1, $$f(y; \alpha)= \alpha y^{-(\alpha+1)}, \quad y \ge 1$$ Taking logarithms we can write this in exponential family form $$f(y; \alpha)= \exp\left\{ -(\alpha+1)\log y + \log\alpha \right\}$$ which does not have any dispersion parameter, but introducing $$\phi\equiv 1$$ we can recognize the exponential dispersion family form as $$f(y; \alpha)= \exp\left\{ -\frac{(\alpha+1)\log y}{\phi} + \log\alpha \right\}$$ so the answer is yes, the Pareto family with known lower limit of 1 is an exponential dispersion family with canonical statistic $$\log y$$. Note that $$\log y$$ does have an exponential distribution, see Distribution of the exponential of an exponentially distributed random variable?