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Utilizing Electroencephalography Measurements for Comparison of Task-Specific Neural Efficiencies: Spatial Intelligence Tasks

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Published on: August 9, 2016

Height premium for job performance.

Tae Hyun Kim¹, Euna Han²

¹Graduate School of Public Health and Institute of Health Services Research, Yonsei University, 50 Yonsei-ro, Seodaemun-gu, Seoul, South Korea.

Economics and Human Biology

|February 25, 2017

Summary

This summary is machine-generated.

Height influences wages, with taller individuals earning more, especially men in higher-paying jobs. This study reveals a non-linear height-wage premium across different income levels.

Keywords:

Height Quantile random-effects model South Korea Wages

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Area of Science:

Economics
Sociology
Human Capital Theory

Background:

The height-wage premium, a documented phenomenon, suggests taller individuals earn more.
Existing research often assumes a linear relationship between height and wages.
Understanding variations in this premium is crucial for labor market analysis.

Purpose of the Study:

To investigate the non-linear relationship between height and monthly wages in Korea.
To examine how the height-wage premium differs across the wage distribution.
To identify variations in the height-wage association by gender and occupation.

Main Methods:

Utilized data from the 1998 and 2012 Korean Labor and Income Panel Study.
Employed a random-effect quantile regression model for monthly wages.
Controlled for household- and individual-level random effects.

Main Results:

A significant non-linear relationship between height and monthly wages was observed.
The height-wage premium was more pronounced at higher quantiles of the wage distribution for men, particularly in professional roles.
Taller self-employed women and salaried men also exhibited a larger premium at the 90th wage quantile.

Conclusions:

The height-wage premium is not uniform and exhibits non-linearity across the wage spectrum.
Wage level, gender, and occupation significantly moderate the association between height and earnings.
Findings contribute a global perspective on the complex height-wage relationship.