Tag Archives: Flachaire

Back in Leuven, for a talk on Nonparametric Estimation

I am currently in Leuven for a few days. It is always a pleasure to be back to the place where I defended my PhD, a few years ago.

I will give a talk, tomorrow, at noon, on nonparametric (and kernel related) inference for quantiles and risk measures, inspired by recent work with Emmanuel Flachaire. Our first paper log-transform kernel density estimationof income distribution is online  on http://papers.ssrn.com/id=2514882, and should appear soon. Another one it able to be finalised, soon.

Le Mans Insurance & Finance Risk Colloquium

This Thursday and Friday, a Colloqium on Insurance and Finance risks will take place in the University of Le Mans. I will be giving a talk on non- and semi-parametric inference for risk measures, inspired by recent work with Emmanuel Flachaire. Our first paper log-transform kernel density estimationof income distribution is online  on http://papers.ssrn.com/id=2514882, and should appear soon. The second one is still in progress, codes are still running. I will upload the slides once the working paper is available…

Log-transform kernel density estimation of income distribution

Our paper Log-transform kernel density estimationof income distribution, written with Emmanuel Flachaire is now available on http://papers.ssrn.com/id=2514882,

Standard kernel density estimation methods are very often used in practice to estimate density function. It works well in numerous cases. However, it is known not to work so well with skewed, multimodal and heavy-tailed distributions. Such features are usual with income distributions, defined over the positive support. We first show that a preliminary logarithmic transformation of the data, combined with standard kernel density estimation methods, can provide a much better fit of the overall density estimation. Then, we show that the fit of the bottom of the distribution may not be satisfactory, even if a better fit of the upper tail can be obtained in general.

Càdiz, Nonparametric Statistics

Emmanuel Flachaire will be presenting some joint work in Càdiz, Spain, tomorrow evening, at the second conference of the International Society of NonParametric Statistics. Jeff invited me a few months ago, to go there, but unfortunately, I’ve already been moving a lot recently. The talk will be based on the same work that I mentioned at the SSC annual conference (Canadian Statistical Society), in Toronto, at the end of May. His talk is on quantiles and inequality indices estimation from heavy-tailed distribution. As mentioned in my previous post, we will upload the slides (and the paper) in a close future.

So, Emmanuel will go there, and enjoy the beach (and the conference, the program is truly amazing).