Detail práce

Beauty and Productivity: A Meta-Analysis

Autor: Mgr. Ing. Kseniya Bortnikova
Rok: 2019 - letní
Vedoucí: doc. PhDr. Tomáš Havránek Ph.D.
Konzultant:
Typ práce: Diplomová
Finance, finanční trhy a bankovnictví
Jazyk: Anglicky
Stránky: 80
Ocenění:
Odkaz: https://is.cuni.cz/webapps/zzp/detail/196702/
Abstrakt: This thesis conducts a quantitative synthesis of 418 estimates of the effect
of beauty on productivity as reported in 37 studies. We test the estimates
of beauty effect for publication selection, using informal testing of the funnel
plot as well as formal testing methods. We find solid evidence of selective
reporting: positive estimates of the beauty effect are preferred in literature. To
determine the sources of heterogeneity in the reported estimates, we collect the
set of 21 explanatory variables. We take the model uncertainty into account
and employ the Bayesian model averaging; the Frequentist model averaging
is used as a robustness check. The results indicate that differences in the
reported estimates appear to be driven by choice of study design and sources
of real heterogeneity, such as geographical regions and individual characteristics
of respondents (age, education and cognitive skills). The type of occupation
and gender of respondents have no impact on the estimates of beauty effect
in relation to productivity. The average beauty effect is probably much lower
than commonly believed based on the available empirical literature.

Partneři

Deloitte

Sponzoři

CRIF
McKinsey
Patria Finance