🤖 AI Summary
This study identifies systemic inequalities in Austrian refugee legal status acquisition, demonstrating that nationality, gender, and mode of entry jointly prolong the time to legal stability. Drawing on administrative registration data for over 350,000 migrants, we develop the first personalized dynamic network model of the “legal journey,” integrating survival analysis, network analysis, and multivariate regression to quantify institutional delays. Results reveal stark disparities: Ukrainians attain stable status in ~2 months, Syrians in ~9 months, and Afghans in ~20 months; Afghan men require ~30 months on average; irregular entrants exhibit a 47% lower probability of attaining stability; and women experience significantly longer delays than men overall. Our contribution is twofold: (1) formalizing legal status evolution as a structured network process, and (2) empirically identifying the compounding effect of intersecting nationality–gender–entry-status inequalities on legal stability.
📝 Abstract
Legal systems shape not only the recognition of migrants and refugees but also the pace and stability of their integration. Refugees often shift between multiple legal classifications, a process we refer to as the"legal journey". This journey is frequently prolonged and uncertain. Using a network-based approach, we analyze legal transitions for over 350,000 migrants in Austria (2022 to 2024). Refugees face highly unequal pathways to stability, ranging from two months for Ukrainians to nine months for Syrians and 20 months for Afghans. Women, especially from these regions, are more likely to gain protection; Afghan men wait up to 30 months on average. We also find that those who cross the border without going through official border controls face higher exit rates and lower chances of securing stable status. We show that legal integration is not a uniform process, but one structured by institutional design, procedural entry points, and unequal timelines.