Related Experiment Video
Updated: Jul 2, 2026

Probing the Limits of Egg Recognition Using Egg Rejection Experiments Along Phenotypic Gradients
Published on: August 22, 2018
Are employers discriminating with respect to weight? European Evidence using Quantile Regression
Vincenzo Atella1, Noemi Pace, Daniela Vuri
1University of Rome Tor Vergata, CEIS Tor Vergata and CHILD, Italy. vincenzo.atella@uniroma2.it
Abstract:
The aim of this research is to investigate the relationship between obesity and wages, using data for nine countries from the European Community Household Panel (ECHP) over the period 1998-2001. We improve upon the existing literature by adopting a Quantile Regression approach to characterize the heterogenous impact of obesity at different points of the wage distribution. Our results show that (i) the evidence obtained from mean regression and pooled analysis hides a significant amount of heterogeneity as the relationship between obesity and wages differs across countries and wages quantiles and (ii) cultural, environmental or institutional settings do not seem to be able to explain differences among countries, leaving room for a pure discriminatory effect hypothesis.
Related Concept Videos
Regression Toward the Mean
One-Way ANOVA: Unequal Sample Sizes
Quantifying and Rejecting Outliers: The Grubbs Test
One-Way ANOVA: Equal Sample Sizes
Different sample means can result in different values for the variance estimate: variance between samples. This is because the variance between samples is calculated as the product of the sample size and the variance between the...
Testing a Claim about Standard Deviation
The hypothesis testing for the claim of population standard deviation (or variance) requires the data and samples to be random and unbiased. The population distribution also must be normal. There is no specific requirement on the sample size as the estimation is based on the chi-square distribution.
As a first step, the hypothesis (null and alternative) concerning the claim about...
Bias in Epidemiological Studies