Arbeitspapier

Fast methods for jackknifing inequality indices

The 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.

Language
Englisch

Bibliographic citation
Series: Economics Working Paper ; No. 2013-04

Classification
Wirtschaft
Methodology for Collecting, Estimating, and Organizing Microeconomic Data; Data Access
Econometric Software
Subject
Jackknife
Resampling
Sampling Variability
Inequality

Event
Geistige Schöpfung
(who)
Karoly, Lynn
Schröder, Carsten
Event
Veröffentlichung
(who)
Kiel University, Department of Economics
(where)
Kiel
(when)
2013

Handle
Last update
10.03.2025, 11:44 AM CET

Data provider

This object is provided by:
ZBW - Deutsche Zentralbibliothek für Wirtschaftswissenschaften - Leibniz-Informationszentrum Wirtschaft. If you have any questions about the object, please contact the data provider.

Object type

  • Arbeitspapier

Associated

  • Karoly, Lynn
  • Schröder, Carsten
  • Kiel University, Department of Economics

Time of origin

  • 2013

Other Objects (12)