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Gendered Employment Patterns Across Industrialised Countries, 2015-2019
Creator
Kowalewska, H, University of Bath
Study number / PID
857402 (UKDA)
10.5255/UKDA-SN-857402 (DOI)
Data access
Open
Series
Not available
Abstract
An influential body of work has identified a ‘welfare-state paradox’: work–family policies that bring women into the workforce also undermine women’s access to the top jobs. Missing from this literature is a consideration of how welfare-state interventions impact on women’s representation at the board-level specifically, rather than managerial and lucrative positions more generally. This database includes data that contribute to addressing this ‘gap’. It compiles existing secondary data from various sources into a single dataset. Both the raw and 'fuzzy' data used in a fuzzy-set Qualitative Comparative Analysis of 22 industrialised countries are available. Based on these data, analyses reveal how welfare-state interventions combine with gender boardroom quotas and targets in (not) bringing a ‘critical mass’ of women onto private-sector corporate boards. Overall, there is limited evidence in support of a welfare-state paradox; in fact, countries are unlikely to achieve a critical mass of women on boards in the absence of adequate childcare services. Furthermore, ‘hard’, mandatory gender boardroom quotas do not appear necessary for achieving more women on boards; ‘soft’, voluntary recommendations can also work under certain family policy constellations. The deposit additionally includes other data from the project that provide more context on work-family policy constellations, as they show how countries performance across multiple gendered employment outcomes spanning segregation and inequalities in employment participation, intensity and pay, with further differences by class.While policymakers in the UK and elsewhere have sought to increase women's employment rates by expanding childcare services and other work/family policies, research suggests these measures have the unintentional consequence of reinforcing the segregation of men and women into different 'types' of jobs and sectors (Mandel & Semyonov, 2006). Studies have shown that generous family policies...
Terminology used is generally based on DDI controlled vocabularies: Time Method, Analysis Unit, Sampling Procedure and Mode of Collection, available at CESSDA Vocabulary Service.
Methodology
Data collection period
01/11/2019 - 05/07/2022
Country
United Kingdom
Time dimension
Not available
Analysis unit
Individual
Family
Family: Household family
Household
Geographic Unit
Universe
Not available
Sampling procedure
Not available
Kind of data
Numeric
Data collection mode
Secondary data that are freely available and have already been anonymised were collected from multiple sources. I accessed the various publicly available repositories - with all sources labelled in the deposit - and pooled them altogether. To transform raw data to 'fuzzy' data for the fuzzy-set Qualitative Comparative Analysis, I first established three qualitative ‘breakpoints’: 0 (lower breakpoint), which denotes a country as ‘fully out’ of the fuzzy set and as not displaying the variable of interest at all; 1 (upper breakpoint), which indicates a country is ‘fully in’ the fuzzy set and fully displays the variable of interest; and 0.5 (crossover point), which indicates a country is ‘neither in nor out’ of the fuzzy set. Countries receive a continuous score for each fuzzy set of between 0 and 1. Countries are ‘out’ of a fuzzy set when scoring < 0.5, and ‘in’ when scoring > 0.5. I used the Package ‘QCA’ for R, using the logistic transformation (S-function).
Funding information
Grant number
ES/S016058/1
Access
Publisher
UK Data Service
Publication year
2024
Terms of data access
The Data Collection is available to any user without the requirement for registration for download/access. Commercial Use of data is not permitted.