s2: Twice the area under the TIP curve

In AngelBerihuete/laeken2: Calculate the TIPs and Lorenz curves

Description

Estimates the poverty measure which is twice the area under the TIP curve.

Usage

s2(dataset, arpt.value, norm = FALSE, ci = FALSE, rep = 1000,
  verbose = FALSE)

Arguments

dataset	a data.frame containing variables obtained by using the setupDataset function.
arpt.value	the at-risk-of-poverty threshold to be used (see arpt).
norm	logical; if TRUE, the area under the normalized TIP curve is then estimated (see tip).
ci	logical; if TRUE, 95 percent confidence interval is given for this area.
rep	a number to do the confidence interval using boostrap technique.
verbose	logical; if TRUE the confindence interval is plotted.

Details

It is computed using the equivalized disposable income. The equivalence scales that can be employed are the modified OECD scale or the parametric scale of Buhmann et al. (1988). The default is the modified OECD scale (see setupDataset).

This poverty index coincides with the Sen-Shorrocks-Thon index and the S(2,z) index of Sordo and Ramos (2011).

Value

The value of the poverty measure.

Author(s)

A. Berihuete, C.D. Ramos and M.A. Sordo

References

B. Buhmann et al. (1988) Equivalence scales, well-being, inequality and poverty: sensitivity estimates across ten countries using the Luxembourg Income Study (LIS) database, Review of Income and Wealth, 34, 115–142.

A.F. Shorrocs (1995) Revisiting the Sen poverty index, Econometrica, 63, 1225–1230.

D. Thon (1979) On measuring poverty, Review of Income and Wealth, 25, 429–439.

D. Thon (1983) A poverty measure, The Indian Economic Journal, 30, 55–70.

M.A. Sordo and C.D. Ramos (2011) Poverty comparisons when TIP curves intersect, SORT, 31, 65–80.

See Also

tip, setupDataset, arpt

Examples

data(eusilc2)
ATdataset <- setupDataset(eusilc2, country = "AT", s = "OECD")
s2(ATdataset,arpt.value = arpt(ATdataset), norm = TRUE)

AngelBerihuete/laeken2 documentation built on May 5, 2019, 6:02 a.m.