Arbeitspapier
Sample sizes for reliably estimating lower and upper income shares in income distribution analysis
This paper uses distribution-free formulas for the asymptotic variances of sample quantile income shares - as typically published by statistical agencies as measures of the distribution of income inequality - to calculate how large a survey sample must be in order to estimate a more refined quantile breakdown for a given level of confidence. The approach is applied to decile and quintile earnings data to calculate required increases in sample size to obtain tail 5 percent quantal share estimates and to test changes in income shares. Simple rules of thumb are offered for such a required increase.
- Sprache
-
Englisch
- Erschienen in
-
Series: Queen’s Economics Department Working Paper ; No. 1505
- Klassifikation
-
Wirtschaft
Hypothesis Testing: General
Specific Distributions; Specific Statistics
Personal Income, Wealth, and Their Distributions
Equity, Justice, Inequality, and Other Normative Criteria and Measurement
- Thema
-
Income share standard errors
sample size
statistical inference
- Ereignis
-
Geistige Schöpfung
- (wer)
-
Beach, Charles M.
- Ereignis
-
Veröffentlichung
- (wer)
-
Queen's University, Department of Economics
- (wo)
-
Kingston (Ontario)
- (wann)
-
2023
- Handle
- Letzte Aktualisierung
-
10.03.2025, 11:45 MEZ
Datenpartner
Dieses Objekt wird bereitgestellt von:
ZBW - Deutsche Zentralbibliothek für Wirtschaftswissenschaften - Leibniz-Informationszentrum Wirtschaft. Bei Fragen zum Objekt wenden Sie sich bitte an den Datenpartner.
ZBW - Deutsche Zentralbibliothek für Wirtschaftswissenschaften - Leibniz-Informationszentrum Wirtschaft. Bei Fragen zum Objekt wenden Sie sich bitte an den Datenpartner.
Objekttyp
- Arbeitspapier
Beteiligte
- Beach, Charles M.
- Queen's University, Department of Economics
Entstanden
- 2023
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