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Beschrijvende Statistiek×Gender Gap Decomposition×
VakgebiedStatistiekGender Studies
FamilieHypothesis testRegression model
Jaar van ontstaan19771973
GrondleggerJohn W. TukeyRonald Oaxaca & Alan Blinder
TypeSummary procedureRegression-based decomposition of a mean group difference
Oorspronkelijke bronTukey, J.W. (1977). Exploratory Data Analysis. Addison-Wesley. ISBN: 978-0201076165Oaxaca, R. (1973). Male-female wage differentials in urban labor markets. International Economic Review, 14(3), 693–709. DOI ↗
Aliassensummary statistics, exploratory data summary, Betimsel İstatistikOaxaca-Blinder Decomposition, Blinder-Oaxaca Decomposition, Wage Gap Decomposition
Verwant63
SamenvattingDescriptive statistics is a set of procedures that numerically and visually summarises the essential characteristics of a dataset: central tendency (mean, median, mode), spread (standard deviation, interquartile range), shape (skewness, kurtosis), and frequency distributions. Systematised for applied data analysis by John W. Tukey in his 1977 work on Exploratory Data Analysis, descriptive statistics serves as the indispensable first step before any inferential or modelling procedure.Gender gap decomposition, most often implemented as the Oaxaca-Blinder decomposition, splits the mean difference in an outcome such as wages between men and women into a part explained by differences in measured characteristics (education, experience, occupation) and an unexplained residual part attributed to differences in how those characteristics are rewarded. Introduced independently by Ronald Oaxaca and Alan Blinder in 1973, it is the workhorse method for quantifying how much of the gender pay gap reflects composition versus differential treatment.
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ScholarGateMethoden vergelijken: Descriptive Statistics · Gender Gap Decomposition. Geraadpleegd op 2026-06-25 via https://scholargate.app/nl/compare