Explicit probability density functions of income

  • C. P. A. Bartels
Part of the Studies in applied regional science book series (SARS, volume 9)


Chapter 2 concentrated on defining a set of inequality measures which used only the general notion of a discrete or continuous random variable (r.v.) without explicitly specifying its associated probability density function (p.d.f.). In this chapter the p.d.f. will be further specified. We shall assume that the r.v. is continuous and has values on the interval (0, ∞) (for convenience). We shall attempt to formulate a priori p.d.f.s which well describe the observed frequency curve of income. This search for theoretical functions resembling the observed distribution of incomes can be justified from several points of view.


Lognormal Distribution Income Distribution Transformation Function Lorenz Curve Inequality Measure 
These keywords were added by machine and not by the authors. This process is experimental and the keywords may be updated as the learning algorithm improves.


Unable to display preview. Download preview PDF.

Unable to display preview. Download preview PDF.

Copyright information

© H. E. Stenfert Kroese B.V., Leiden, the Netherlands 1977

Authors and Affiliations

  • C. P. A. Bartels
    • 1
  1. 1.University of GroningenThe Netherlands

Personalised recommendations