Fast methods for jackknifing inequality indices
AbstractThe jackknife is a resampling method that uses subsets of the original database by leaving out one observation at a time from the sample. The paper outlines a procedure to obtain jackknife estimates for several inequality indices with only a few passes through the data. The number of passes is independent of the number of observations. Hence, the method provides an efficient way to obtain standard errors of the estimators even if sample size is large. We apply our method using micro data on individual incomes for Germany and the US. --
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Bibliographic InfoPaper provided by Christian-Albrechts-University of Kiel, Department of Economics in its series Economics Working Papers with number 2013-04.
Date of creation: 2013
Date of revision:
Jackknife; Resampling; Sampling Variability; Inequality;
Other versions of this item:
- Lynn A. Karoly & Carsten Schröder, 2014. "Fast Methods for Jackknifing Inequality Indices," SOEPpapers on Multidisciplinary Panel Data Research 643, DIW Berlin, The German Socio-Economic Panel (SOEP).
- C81 - Mathematical and Quantitative Methods - - Data Collection and Data Estimation Methodology; Computer Programs - - - Methodology for Collecting, Estimating, and Organizing Microeconomic Data; Data Access
- C87 - Mathematical and Quantitative Methods - - Data Collection and Data Estimation Methodology; Computer Programs - - - Econometric Software
- D3 - Microeconomics - - Distribution
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Economics Discussion Papers
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- Timm Bönke & Carsten Schröder, 2010. "Country Inequality Rankings and Conversion Schemes," Discussion Papers of DIW Berlin 1068, DIW Berlin, German Institute for Economic Research.
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