wow-inequalities/02-data/intermediate/wos_sample/a5eecd7de078f0bb73e7236a3cb5f5d0-timmons-jeffrey-f./info.yaml

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2023-09-28 14:46:10 +00:00
abstract: 'Skill specificity is thought to increase preferences for social
insurance (Iversen and Soskice, 2001, American Political Science Review
95,875), especially where employment protections are low, notably the
United States (Gingrich and Ansell, 2012, Comparative Political Studies
45, 1624). The compensating differentials literature, by contrast,
suggests that neither skill specificity, nor labor market protections
affect preferences when wages adjust for differences in risks and
investment costs. We examine these competing predictions using U.S. data
on general and specific skills. Absolute and relative skill specificity
have a robust positive correlation with income, but are negatively
correlated with preferences for social protection. Our results strongly
support the compensating differentials approach.'
affiliation: 'Timmons, JF (Corresponding Author), IE Univ, IE Business Sch, Calle
Alvarez de Baena 4,1, Madrid 28006, Spain.
Timmons, Jeffrey F., IE Univ, Madrid 28006, Spain.'
author: Timmons, Jeffrey F. and Nickelsburg, Jerry
author-email: jeffrey.timmons@ie.edu
author_list:
- family: Timmons
given: Jeffrey F.
- family: Nickelsburg
given: Jerry
da: '2023-09-28'
doi: 10.1111/ecpo.12043
eissn: 1468-0343
files: []
issn: 0954-1985
journal: ECONOMICS \& POLITICS
keywords-plus: 'POLICY PREFERENCES; OCCUPATIONAL TITLES; REDISTRIBUTION; INEQUALITY;
DICTIONARY; RETURNS; DEMAND; MARKET; RISKS; WAGES'
language: English
month: NOV
number: '3'
number-of-cited-references: '41'
pages: 457-482
papis_id: 91fde7e81ab6253bad3d483abf8cef85
ref: Timmons2014dopeople
times-cited: '0'
title: DO PEOPLE WITH SPECIFIC SKILLS WANT MORE SOCIAL INSURANCE? NOT IN THE UNITED
STATES
2023-10-01 08:15:07 +00:00
type: article
2023-09-28 14:46:10 +00:00
unique-id: WOS:000343869300005
usage-count-last-180-days: '0'
usage-count-since-2013: '16'
volume: '26'
web-of-science-categories: Economics; Political Science
year: '2014'