  Starting from the generalized exponential function
$\exp_{\kappa}(x)=(\sqrt{1+\kappa^{2}x^{2}}+\kappa x)^{1/\kappa}$, with
$\exp_{0}(x)=\exp(x)$, proposed in Ref. [G. Kaniadakis, Physica A \textbf{296},
405 (2001)], the survival function $P_{>}(x)=\exp_{\kappa}(-\beta x^{\alpha})$,
where $x\in\mathbf{R}^{+}$, $\alpha,\beta>0$, and $\kappa\in[0,1)$, is
considered in order to analyze the data on personal income distribution for
Germany, Italy, and the United Kingdom. The above defined distribution is a
continuous one-parameter deformation of the stretched exponential function
$P_{>}^{0}(x)=\exp(-\beta x^{\alpha})$\textemdash to which reduces as $\kappa$
approaches zero\textemdash behaving in very different way in the $x\to0$ and
$x\to\infty$ regions. Its bulk is very close to the stretched exponential one,
whereas its tail decays following the power-law
$P_{>}(x)\sim(2\beta\kappa)^{-1/\kappa}x^{-\alpha/\kappa}$. This makes the
$\kappa$-generalized function particularly suitable to describe simultaneously
the income distribution among both the richest part and the vast majority of
the population, generally fitting different curves. An excellent agreement is
found between our theoretical model and the observational data on personal
income over their entire range.
