The sensitivity to key data imputations of recent estimates of income poverty and inequality in South Africa

被引:29
|
作者
Ardington, Cally
Lam, David
Leibbrandt, Murray [1 ]
Welch, Matthew
机构
[1] Univ Cape Town, Sch Econ, ZA-7701 Rondebosch, South Africa
[2] Univ Cape Town, So Africa Labour & Dev Res Unit, ZA-7700 Rondebosch, South Africa
[3] Univ Cape Town, Dept Stat Sci, ZA-7700 Rondebosch, South Africa
[4] Univ Michigan, Dept Econ, Ann Arbor, MI 48109 USA
[5] Univ Michigan, Ctr Populat Studies, Ann Arbor, MI 48109 USA
[6] Univ Cape Town, Data 1st, ZA-7700 Rondebosch, South Africa
关键词
inequality; poverty; missing data imputation;
D O I
10.1016/j.econmod.2005.10.009
中图分类号
F [经济];
学科分类号
02 ;
摘要
Existing literature using South African censuses reports an increase in both poverty and inequality over the 1996 to 2001 period. This paper assesses the robustness of these results to a number of weaknesses in the personal income variable. We use a sequential regression multiple imputation approach to impute missing values and to explicitly assess the influence of implausible income values and different rules used to convert income that is measured in bands into point incomes. Overall our results for 1996 and 2001 confirm the major findings from the existing literature while generating more reliable confidence intervals for the key parameters of interest than are available elsewhere. (c) 2005 Elsevier B.V. All rights reserved.
引用
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页码:822 / 835
页数:14
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