Skip to main content
Have a personal or library account? Click to login
Vulnerability Profiles among Ukrainian Returnees: A Latent Class Analysis of Household and Contextual Constraints Cover

Vulnerability Profiles among Ukrainian Returnees: A Latent Class Analysis of Household and Contextual Constraints

Open Access
|Jul 2026

References

  1. Adema, Joop; Aksoy, Cevat Giray; Giesing, Yvonne; Poutvaara, Panu (2024) : Ukrainian refugees’ return intentions and integration in the course of time, EconPol Forum, ISSN 2752-1184, CESifo GmbH, Munich, Vol. 25, Iss. 6, pp. 36-40
  2. Anastasia, G., Boeri, T., Kudlyak, M., & Zholud, O. (2022). The labor market in Ukraine: Rebuild better Hoover Institution Working Paper No. 22130. Hoover Institution. https://www.hoover.org/sites/default/files/research/docs/22130-Anastasia-Boeri-Kudlyak-Zholud.pdf
  3. Ash, K. (2025). Who leaves and who returns? IDPs and returnees after the Russian invasion of Ukraine. Comparative Migration Studies, 13, 66. https://doi.org/10.1186/s40878-025-00488-2
  4. Baldet, B., Dagli-Hustings, I., Dassé, S., & Machlouzarides, M. (2025). Gendered socio-economic challenges in Ukraine: Analysis of gendered disparities and insecurities among men and women using data from reSCORE Ukraine 2024. United Nations Development Programme (UNDP) / SeeD. https://reliefweb.int/report/ukraine/gendered-socio-economic-challengesukraine-analysis-gendered-disparities-and-insecurities-among-men-and-women-usingdata-rescore-ukraine-2024
  5. Brück, T., Hanmer, L. C., Klugman, J., & Arango, D. J. (2024). Gender Dimensions of Forced Displacement: A Brief Review and Introduction to the Special Issue. The Journal of Development Studies, 60(12), 1839–1851. https://doi.org/10.1080/00220388.2024.2376145
  6. Celeux, G., & Soromenho, G. (1996). An entropy criterion for assessing the number of clusters in a mixture model. Journal of Classification, 13(2), 195–212.
  7. Collins, L. M., & Lanza, S. T. (2010). Latent class and latent transition analysis: With applications in the social, behavioral, and health sciences. Wiley.
  8. Egamberdiev, B., Mammadov, I., & Zhang, Q. (2024). Household resilience and coping strategies to food insecurity. Applied Economic Perspectives and Policy, 46(4), 1646–1661. https://doi.org/10.1002/aepp.13215
  9. International Organization for Migration. (2019). IOM handbook on protection and assistance to migrants vulnerable to violence, exploitation and abuse: Part 1—The determinants of migrant vulnerability. International Organization for Migration.
  10. International Organization for Migration. (2024). Employment, mobility and labour market dynamics in Ukraine. IOM Ukraine. https://ukraine.iom.int/sites/g/files/tmzbdl1861/files/documents/2025-01/iom_ukr_employment_november-2024_-1.pdf
  11. Nguyen, M. T., et al. (2024). Return intentions and reintegration trajectories among Ukrainian refugees. Journal of Refugee Studies. https://doi.org/10.1093/jrs/feae006
  12. Petersen, K. J., Qualter, P., & Humphrey, N. (2019). The application of latent class analysis for investigating population child mental health: A systematic review. Frontiers in Psychology, 10, 1214. https://doi.org/10.3389/fpsyg.2019.01214
  13. Santos, L. M., Amorim, L. D. A. F., Santos, D. N., & Barreto, M. L. (2015). Measuring the level of social support using latent class analysis. Social Science Research, 50, 139–146.
  14. Schrooten, M. (2025). Navigating displacement: The Ukrainian refugee crisis in Europe. Global Networks, 25, e70006. https://doi.org/10.1111/glob.70006
  15. Tkach, D. (2024). How to return Ukrainians to Ukraine: Economic, social, psychological and cultural factors. Vcheni zapysky Universytetu “KROK”, 4(76), 277–286. https://doi.org/10.31732/2663-2209-2024-76-277-286
  16. Tsapin, O., & Zholud, O. (2025). The labor market during the war in Ukraine (Working Paper No. 04/2025). National Bank of Ukraine. https://visnyk.bank.gov.ua/en/article/2025/workingpapers/04
  17. United Nations High Commissioner for Refugees. (2024). Ukraine—Survey of intentions and perspectives of returnee #2 (August 2024) [Data set]. https://data.unhcr.org/en/country/ukr
  18. Vodă, A.-M., Ciobotea, M., Badea, D., Roman, M., & Stan, M. (2025). The interactions between digitalization, innovation and employment in European companies: Insights from a latent class analysis. Economies, 13(4), 104. https://doi.org/10.3390/economies13040104
  19. Wagenmakers, E. J. (2007). A practical solution to the pervasive problems of p values. Psychonomic bulletin & review, 14(5), 779-804. https://link.springer.com/content/pdf/10.3758/bf03194105.pdf
  20. Zhou, M., Thayer, W. M., & Bridges, J. F. P. (2018). Using latent class analysis to model preference heterogeneity in health: A systematic review. PharmacoEconomics, 36, 175–187. https://doi.org/10.1007/s40273-017-0575-4
Language: English
Page range: 5087 - 5098
Published on: Jul 23, 2026
In partnership with: Paradigm Publishing Services
Publication frequency: 1 issue per year

© 2026 Ana ALEXANDRESCU, Monica ROMAN, published by Bucharest University of Economic Studies
This work is licensed under the Creative Commons Attribution-NonCommercial-NoDerivatives 4.0 License.