- Theory of distributions: distribution biparabolica, bounded distributions with heavy tails and high kurtosis, applications to valuation under uncertainty and the financial sector.

- Analysis and estimation of economic data space: technical or quantitative methods (GIS, Geostatistics and Spatial Econometrics) that analyze spatial economic variables, ie variables that are distributed in geographical space such as: housing prices, income, production industrial, goodwill, etc. The spatial scope of these variables may relate to micro or macro level.

- Sampling techniques: estimation of parameters, complex sample designs, treatment of missing data, applications to economics.