Does height matter for earnings? Evidence from Russia
Nargiza Ibragimova1,2, Raufhon Salahodjaev3,4,5
1Department of Economics, University of Heidelberg, Germany.
Abstract:
This study explores the link between height and earnings, using data from the Russian Longitudinal Monitoring Survey for the year 2015 (24th wave). The dependent variable was average monthly income and the key independent variable was self-reported height, measured in centimetres. The empirical model also included a rich vector of personal and job-related factors that have been shown to be associated with earnings in the relevant literature. Sequential multiple regression and one-way analyses of variance (ANOVA) were used to analyse the data. The results suggest that height is a significant predictor of earnings in Russia. The results were found to be robust for a set of controls and tests.
Related Concept Videos
Coefficient of Correlation
If you suspect a linear relationship between x and y, then r can measure how strong the linear relationship is.
What the VALUE of r tells us:
The value of r is always between –1 and +1: –1 ≤ r ≤ 1.
The size of the correlation r indicates the...
Applications of Normal Distribution
The heights of 15 to 18-year-old males from Chile from 1984 to 1985 followed a normal distribution. The mean height is 172.36...
Variation: Normal Distribution, Range, and Standard Deviation
Regression Toward the Mean
Polygenic Traits
Two-Way ANOVA
The two-way ANOVA analysis initially begins by stating the null hypothesis that there is an interaction effect between the two factors of a dataset. This effect can be visualized using line segments formed by joining the...


