Dilek Yildiz
Acting Research Group Leader
Migration and Sustainable Development Research Group
Population and Just Societies Program
Research Scholar
Multidimensional Demographic Modeling Research Group
Population and Just Societies Program
Biography
Dilek Yildiz joined the World Population (POP) Program as a research scholar in July 2017. She completed her PhD on 'Combining administrative data sources to estimate population counts' at the University of Southampton, Department of Social Statistics and Demography, in 2016. Previously, she worked as a teaching assistant and as a researcher at the University of Southampton. She also worked at various stages of the Turkey Demographic and Health Survey-2008, and as a research assistant at Hacettepe University, where she also completed her MSc in Economic and Social Demography. Her current research interests are in statistical demography with a focus on Bayesian projections/reconstruction of multistate populations, population count estimates, and investigating on the use of big data sources. Dr. Yildiz has also been working as a post-doctoral researcher at the Vienna Institute of Demography since February 2016.Last update: 15 JAN 2018
Publications
Kluge, L., Olaya Bucaro, O. , K.C., S., Yildiz, D. , Abel, G. , & Schewe, J. (2024). A multidimensional global migration model for use in cohort-component population projections. Demographic Research 51 323-376. 10.4054/DemRes.2024.51.11.
Yildiz, D. , Wiśniowski, A., Abel, G. , Weber, I., Zagheni, E., Gendronneau, C., & Hoorens, S. (2024). Integrating Traditional and Social Media Data to Predict Bilateral Migrant Stocks in the European Union. International Migration Review 10.1177/01979183241249969.
K.C., S., Dhakad, M., Potančoková, M. , Adhikari, S., Yildiz, D. , Mamolo, M., Sobotka, T., Zeman, K., Abel, G. , Lutz, W. , & Goujon, A. (2024). Updating the Shared Socioeconomic Pathways (SSPs) Global Population and Human Capital Projections. IIASA Working Paper. Laxenburg, Austria: WP-24-003
Yildiz, D. & Abel, G. (2024). Migration flows by age, sex and educational attainment. IIASA Working Paper. Laxenburg, Austria: WP-24-001
Durowaa-Boateng, A., Yildiz, D. , & Goujon, A. (2023). A Bayesian model for the reconstruction of education- and age-specific fertility rates: An application to African and Latin American countries. Demographic Research 49 (31) 809-848. 10.4054/DemRes.2023.49.31.