|
|
|
|
LEADER |
03425nmm a2200793 u 4500 |
001 |
EB002082579 |
003 |
EBX01000000000000001222669 |
005 |
00000000000000.0 |
007 |
cr||||||||||||||||||||| |
008 |
220928 ||| eng |
020 |
|
|
|a 9798400202384
|
100 |
1 |
|
|a Dabla-Norris, Era
|
245 |
0 |
0 |
|a Are Low-Skill Women Being Left Behind? Labor Market Evidence from the UK
|c Era Dabla-Norris, Carlo Pizzinelli, Jay Rappaport
|
260 |
|
|
|a Washington, D.C.
|b International Monetary Fund
|c 2022
|
300 |
|
|
|a 48 pages
|
653 |
|
|
|a Economics
|
653 |
|
|
|a Women
|
653 |
|
|
|a Economics of the Handicapped
|
653 |
|
|
|a Financial crises
|
653 |
|
|
|a Labor markets
|
653 |
|
|
|a Aggregate Labor Productivity
|
653 |
|
|
|a Skills
|
653 |
|
|
|a Economics of the Elderly
|
653 |
|
|
|a Aging
|
653 |
|
|
|a Labor
|
653 |
|
|
|a Women & girls
|
653 |
|
|
|a Economics of specific sectors
|
653 |
|
|
|a Population and demographics
|
653 |
|
|
|a Currency crises
|
653 |
|
|
|a Demography
|
653 |
|
|
|a Macroeconomics
|
653 |
|
|
|a Occupational Choice
|
653 |
|
|
|a Economic theory
|
653 |
|
|
|a Human Capital
|
653 |
|
|
|a Income economics
|
653 |
|
|
|a Employment
|
653 |
|
|
|a Population & demography
|
653 |
|
|
|a Economic & financial crises & disasters
|
653 |
|
|
|a Gender studies
|
653 |
|
|
|a Labour
|
653 |
|
|
|a Non-labor Market Discrimination
|
653 |
|
|
|a Economics of Gender
|
653 |
|
|
|a Wages, Compensation, and Labor Costs: General
|
653 |
|
|
|a Non-labor Discrimination
|
653 |
|
|
|a Economics: General
|
653 |
|
|
|a Unemployment
|
653 |
|
|
|a Informal sector
|
653 |
|
|
|a Demand and Supply of Labor: General
|
653 |
|
|
|a Economic sectors
|
653 |
|
|
|a Aggregate Human Capital
|
653 |
|
|
|a Population aging
|
653 |
|
|
|a Labor Force and Employment, Size, and Structure
|
653 |
|
|
|a Labor Productivity
|
653 |
|
|
|a Wage Level and Structure
|
653 |
|
|
|a Labor market
|
653 |
|
|
|a Wages
|
653 |
|
|
|a Wage Differentials
|
653 |
|
|
|a Intergenerational Income Distribution
|
653 |
|
|
|a Women's Studies
|
653 |
|
|
|a Gender
|
700 |
1 |
|
|a Pizzinelli, Carlo
|
700 |
1 |
|
|a Rappaport, Jay
|
041 |
0 |
7 |
|a eng
|2 ISO 639-2
|
989 |
|
|
|b IMF
|a International Monetary Fund
|
490 |
0 |
|
|a IMF Working Papers
|
028 |
5 |
0 |
|a 10.5089/9798400202384.001
|
856 |
4 |
0 |
|u https://elibrary.imf.org/view/journals/001/2022/042/001.2022.issue-042-en.xml?cid=513584-com-dsp-marc
|x Verlag
|3 Volltext
|
082 |
0 |
|
|a 330
|
520 |
|
|
|a Labor markets in the UK have been characterized by markedly widening wage inequality for lowskill (non-college) women, a trend that predates the pandemic. We examine the contribution of job polarization to this trend by estimating age, period, and cohort effects for the likelihood of employment in different occupations and the wages earned therein over 2001-2019. For recent generations of women, cohort effects indicate a higher likelihood of employment in low-paying manual jobs relative to high-paying abstract jobs. However, cohort effects also underpin falling wages for post-1980 cohorts across all occupations. We find that falling returns to labor rather than job polarization has been a key driver of rising inter-age wage inequality among low-skill females. Wage-level cohort effects underpin a nearly 10 percent fall in expected lifetime earnings for low-skill women born in 1990 relative to those born in 1970
|