Asymptotically distribution-free joint confidence intervals for generalized Lorenz curves based on complete data

S. Chakraborti

Statistics & Probability Letters, 1994, vol. 21, issue 3, 229-235

Abstract: Asymptotically distribution-free joint confidence intervals are provided for generalized Lorenz ordinates estimated from complete data. The joint confidence intervals are especially useful in making an overall comparison of generalized Lorenz curves. Based on the confidence intervals a multiple-comparisons-type test is proposed for testing a dominance of generalized Lorenz curves. More generally, the proposed test can be applied to test for second degree stochastic dominance of two income distributions. The results are illustrated with US house-hold income data for 1969 and 1979.

Keywords: Generalized; Lorenz; curves; Joint; confidence; intervals; Asymptotically; distribution-free; Stochastic; dominance (search for similar items in EconPapers)
Date: 1994
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