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Ezgi Kaya

Dr Ezgi Kaya

Senior Lecturer in Economics

Cardiff Business School

Users
Available for postgraduate supervision

Overview

Dr Ezgi Kaya is a Senior Lecturer (Associate Professor) in Economics at Cardiff Business School, Cardiff University, a fellow at the Global Labor Organization (GLO) and a Research Fellow funded by ADR UK (Administrative Data Research UK), an Economic and Social Research Council (ESRC) investment (part of UK Research and Innovation). She is also a co-investigator of the GW4 Maternity Leave Network and a member of the ESRC Peer Review College.  

With expertise in labour economics, applied microeconometrics and economic demography, Dr Kaya works with large scale survey and administrative data and applied methodologies. Her research projects explore the role of assortative mating and household interactions on the labour supply behaviour of married women and men, the drivers and characteristics of labour market differences, particularly related to gender and immigration, the impact of family-friendly policies, and the relationship between labour market institutions and fertility. She has also conducted research on identifying peer effects in the context of academic performance, long-term economic outcomes, and the co-residence decisions of young adults with their parents—a decision that is often associated with fertility, mobility and future labour market outcomes.

Her work has been featured widely across the media and published in high-quality peer-reviewed journals, including International Economic Review, Oxford Bulletin of Economics and Statistics, Journal of Economic Behavior and Organization, Canadian Journal of Economics, Economica, IZA Journal of Development and Migration, Oxford Economic Papers, Industrial Relations, and International Labour Review, and awarded the Etta Chiuri Best Paper Prize (2014), and the Turkish Economic Association Postgraduate Research Award (2008).

Dr Kaya received her PhD in Economics from the IDEA Graduate Programme at Universitat Autònoma de Barcelona.

Publication

2024

2023

2022

2021

2020

2019

2018

2017

2016

2014

2010

Articles

Monographs

Research

Research interests

Labour Economics, Applied Microeconometrics, Economic Demography

Research projects

For current research projects, see Personal Website.

Teaching

Teaching commitments

  • BS3558 Labour Economics (undergraduate)
  • BST281 Microeconometric Practice (graduate)

Biography

Biography

For an up-to-date CV, see Personal Website.

Supervisions

Supervised areas

Dr Kaya is an expert in the fields of labour economics and economic demography, specialising in topics such as gender, fertility, migration, peer effects, and the effectiveness of policies and programmes. She supervises PhD students in these areas. For those interested in pursuing a PhD in these subjects, Dr Kaya welcomes email inquiries and invites potential candidates to get in touch for guidance and supervision.

Current supervision

Aohan Gao

Aohan Gao

Graduate Tutor

Suzanna Nesom

Suzanna Nesom

PhD Student

Imran Khan

Imran Khan

Graduate Tutor

Julia Diniz

Julia Diniz

Graduate Tutor

Past projects

  • Jiarui Nan, Return to Education and Education Mismatch in China, Cardiff Business School, Cardiff University, PhD in Economics, Awarded, 2023
  • John Poole, Exploring the impact of disability onset on individual wellbeing in the UK (ESRC Wales DTP collaborative studentship - with Disability Rights UK), Cardiff Business School, Cardiff University, PhD in Economics, Awarded, 2023
  • Widdi Mugijayani, Return to Education and Education Mismatch in Indonesia (Republic of Indonesia funding), Cardiff Business School, Cardiff University, PhD in Economics, Awarded, 2020
  • Jiayi Huang, Essays in Chinese Firm-Bank Switching, Cardiff Business School, Cardiff University, PhD in Economics, Awarded, 2019

Contact Details

Email KayaE@cardiff.ac.uk
Telephone +44 29208 70757
Campuses Aberconway Building, Room E01a, Colum Road, Cathays, Cardiff, CF10 3EU

Research themes

Specialisms

  • Labour economics
  • Gender
  • Fertility
  • Migration
  • Peer effects