Title: Analyzing Intersectionality of Inequalities in Employment
1Analyzing Intersectionality of Inequalities in
Employment
- Wendy Sigle-Rushton and Diane Perrons
- Department of Social Policy
- Gender Institute
- London School of Economics and Political Science
- GENDER, CLASS, EMPLOYMENT AND FAMILY
- INTERNATIONAL CONFERENCE
- City University, London, March 27-28th, 2008
2Motivation
- Context globalisation and rising inequality
- inequality and gender inequality
- gender inequality and other forms of difference
- Theory feminist theorising of complex
differences - Analysis how do we conceptualise difference in
empirical work? - adopting the inter-categorical approach
3Globalisation (Increasing Trade) and Economic
Restructuring (Changing Composition of Employment)
4Intersectionality
- Feminist critique of using gender, class, or
ethnicity as single analytic categories. - Different social divisions are mutually modifying
and reinforcing. - How to analyse forms of difference (that) are
lived relationally ? (Moore 1994)
5Methodological Approaches
- McCalls (2005) typology
- Anti-categorical
- Intra-categorical
- Inter-categorical
6Methodological Approaches
- McCalls (2005) typology
- Anti-categorical desconstructionist, draws on
post-modern and post-structural theories - Intra-categorical
- Inter-categorical
7Methodological Approaches
- McCalls (2005) typology
- Anti-categorical
- Intra-categorical focuses on differences that
cut across one particular category of interest - Inter-categorical
8Methodological Approaches
- McCalls (2005) typology
- Anti-categorical
- Intra-categorical
- Inter-categorical focuses on how analytically
defined categorical difference intersects in
practice
9Methodological Approaches
- McCalls (2005) typology
- Anti-categorical most common
- Intra-categorical qualitative research
- Inter-categorical most amenable to quantitative
analyses
10Applying the Inter-Categorical Approach
- Applying a more inter-sectional approach
- requires a large number of observations
- can result in extremely complex tables of results
- can uncover important differences that would be
masked by more traditional models - Various possibilities
- cluster analysis
- classification trees
- Look back to classical demography
- Make the most of existing samples
- pseudo-cohorts
11Analysing Intersectionality in UK Labour Market
- Data
- repeated cross sections from spring quarters LFS
- sample women aged 19-40
- dependent variable employed at the time of
interview - controls
- year of interview
- age in years (dummies, 19 reference category)
- ethnic group
- partnership status
- education
- number of children born (1-4)
- time since birth of last 4 children and time
squared - Method
- logit models
12Simulation 1 Predicted Probability of Employment
for Low Educated Women, Aged 25 in 1993 Who
Partner At Age 28 and Have One Child At Age 30
13Simulation 2 Predicted Probability of Employment
for Highly Educated Women, Aged 25 in 1993 Who
Partner At Age 28 and Have One Child At Age 30
and a Second Child at Age 33, Selected Ethnic
Groups
14Making Sense of/Contextualising Empirical
Findings
15Summary
- Issues raised in the literature on
intersectionality - have travelled but in selective ways
- have not had a great influence on quantitative
methodologies - Applying a more inter-sectional approach
- allows description and documentation of
differences as they are lived - provides a basis for wider association (e.g.
McCall geographical association) - can run the risk of attributing causality to
identity so needs to be contextualised and
linked to other explanations
16References to the EOC studies
- Sigle-Ruston and Perrons D (2006) Employment
transitions over the lifecycle a statistical
analysis - http//83.137.212.42/sitearchive/eoc/PDF/WP46_Empl
oyment_transitions.pdf?page20505 - Perrons D and Sigle-Ruston W (2006) Employment
transitions over the lifecycle a literature
review - http//83.137.212.42/sitearchive/eoc/PDF/WP47_Emp
loyment_transitions.pdf?page20505 - The background to and some further information
about the empirical analysis can be found in the
above reports.