Please use this identifier to cite or link to this item: https://hdl.handle.net/10419/288476 
Year of Publication: 
2020
Citation: 
[Journal:] De Economist [ISSN:] 1572-9982 [Volume:] 168 [Issue:] 4 [Publisher:] Springer US [Place:] New York, NY [Year:] 2020 [Pages:] 519-540
Publisher: 
Springer US, New York, NY
Abstract: 
We present a semiparametric method to estimate group-level dispersion, which is particularly effective in the presence of censored data. We apply this procedure to obtain measures of occupation-specific wage dispersion using top-coded administrative wage data from the German IAB Employment Sample. We then relate these robust measures of earnings risk to the risk attitudes of individuals working in these occupations. We find that willingness to take risk is positively correlated with the wage dispersion of an individual’s occupation.
Subjects: 
Dispersion estimation
Earnings risk
Censoring
Quantile regression
Occupational choice
Sorting
Risk preferences
SOEP
IABS
JEL: 
C14
C21
C24
J24
J31
D01
D81
Persistent Identifier of the first edition: 
Creative Commons License: 
cc-by Logo
Document Type: 
Article
Document Version: 
Published Version

Files in This Item:
File
Size





Items in EconStor are protected by copyright, with all rights reserved, unless otherwise indicated.