PhD Research
Gender differences in labour market outcomes, such as earnings, employment and career progression, are persistent and pervasive features across labour markets worldwide. Yet, these disparities remain underexplored at sub-national levels.
My PhD contributes to our understanding of gender inequality in the labour market across areas in Britain. I use large survey data from the secure version of the Annual Survey for Hours and Earnings, the Labour Force Survey and the secure version of the Annual Population Survey to explore the geographic variations in gender labour market inequality.
Research Interests
Labour economics, applied microeconomics, micro-econometrics
Regional economics, economic geography
Gender inequality, spatial inequality
Job mobility, gender differences in labour supply and monopsony
Devolution, evaluation of devolved policies
- Gender Pay Gaps Across Areas within Britain
WORKING PAPER
RQ: Why do Gender Pay Gaps Vary Across Areas within Britain?
Data: Annual Survey of Hours and Earnings 2022 (secure)*
Methodology: Oaxaca-Blinder decompositions
Findings: Five insights into why the Gender Pay Gap varies across areas within Britain:
There is considerable variation in Gender Pay Gaps across areas within Britain
This variation is obscured at more aggregate geographical levels
Gender differences in the distribution of individuals working across areas explain most of the variation in Gender Pay Gaps
Inequality is relatively consistent across areas in Britain
Not all the variation in this measure of inequality can solely be attributed to discrimination
*This work is based on data from the Annual Survey of Hours and Earnings, produced by the Office for National Statistics (ONS) and supplied by the UK Data Archive. It is accessed via the Secure Data Service (SDS) and I am grateful for their support. These data are Crown Copyright and have been used by permission. The use of these data in this work does not imply the endorsement of ONS or the SDS in relation to the interpretation or analysis of the data. This work uses research datasets which may not exactly reproduce National Statistic aggregates.
2. Commuting and the Gender Pay Gap
WORK IN PROGRESS
3. Evaluation of the Childcare Offer for Wales
RQ: How does the Childcare Offer for Wales influence the labour market outcomes of eligible parents, including labour force participation, hours worked and pay?
Data: Annual Population Survey 2013-2022 (secure)*
Methodology: Regression Discontinuity Design, Staggered Difference-in-Differences
Findings: WORK IN PROGRESS
*This work is based on data from the Annual Survey of Hours and Earnings, produced by the Office for National Statistics (ONS) and supplied by the UK Data Archive. It is accessed via the Secure Data Service (SDS) and I am grateful for their support. These data are Crown Copyright and have been used by permission. The use of these data in this work does not imply the endorsement of ONS or the SDS in relation to the interpretation or analysis of the data. This work uses research datasets which may not exactly reproduce National Statistic aggregates.