השוואת שיטות

	סטטיסטיקה תיאורית	Gender Gap Decomposition
תחום	סטטיסטיקה	Gender Studies
משפחה	Hypothesis test	Regression model
שנת המקור	1977	1973
הוגה השיטה	John W. Tukey	Ronald Oaxaca & Alan Blinder
סוג	Summary procedure	Regression-based decomposition of a mean group difference
מקור מכונן	Tukey, J.W. (1977). Exploratory Data Analysis. Addison-Wesley. ISBN: 978-0201076165	Oaxaca, R. (1973). Male-female wage differentials in urban labor markets. International Economic Review, 14(3), 693–709.
כינויים	summary statistics, exploratory data summary, Betimsel İstatistik	Oaxaca-Blinder Decomposition, Blinder-Oaxaca Decomposition, Wage Gap Decomposition
קשורות	6	3
תקציר	Descriptive 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.