caa a22 4500 465756417 CHVBK 20180323111848.0 cr unu---uuuuu 170327e19900801xx s 000 0 eng 10.1007/BF00139260 doi (NATIONALLICENCE)springer-10.1007/BF00139260 Stochastic dominance and statistical comparisons of income distribution functions [Elektronische Daten] A new method for evaluating the economic well being of the elderly [John Bishop, John Formby] This paper assesses the economic well being of the U.S. elderly population by applying asymptotically distribution-free statistical tests of stochastic dominance relations characterizing income distribution functions. The procedure is new and overcomes serious difficulties encountered in naive comparisons of summary statistics which are widely used in assessing economic well being. An important advantage of this approach is that it exploits all the information contained in the income distribution function. Application of the method to compare the elderly population to the entire U.S. population in the 1980's reveals evidence of a higher per capita level of economic well being among older Americans. The method can be applied to other socioeconomic groups and in other countries provided that appropriate micro data are available. Kluwer Academic Publishers, 1990 Bishop John Department of Economics, East Carolina University, 27858, Greenville, NC, USA aut Formby John Department of Economics, University of Alabama, 35487, Tuscaloosa, AL, USA aut Quality and Quantity Kluwer Academic Publishers 24/3(1990-08-01), 267-282 0033-5177 24:3<267 1990 24 11135 https://doi.org/10.1007/BF00139260 text/html Onlinezugriff via DOI 1 research-article jats NATIONALLICENCE 856 40 https://doi.org/10.1007/BF00139260 text/html Onlinezugriff via DOI NATIONALLICENCE 700 1- Bishop John Department of Economics, East Carolina University, 27858, Greenville, NC, USA aut NATIONALLICENCE 700 1- Formby John Department of Economics, University of Alabama, 35487, Tuscaloosa, AL, USA aut NATIONALLICENCE 773 0- Quality and Quantity Kluwer Academic Publishers 24/3(1990-08-01), 267-282 0033-5177 24:3<267 1990 24 11135 Metadata rights reserved Springer special CC-BY-NC licence nationallicence BK010053 XK010053 XK010000 NATIONALLICENCE NATIONALLICENCE NL-springer