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http://hdl.handle.net/1942/49438Full metadata record
| DC Field | Value | Language |
|---|---|---|
| dc.contributor.author | BIELEN, Samantha | - |
| dc.contributor.author | Grajzl, Peter | - |
| dc.contributor.author | VAES, Diego | - |
| dc.date.accessioned | 2026-06-29T10:36:20Z | - |
| dc.date.available | 2026-06-29T10:36:20Z | - |
| dc.date.issued | 2026 | - |
| dc.date.submitted | 2026-06-09T13:02:36Z | - |
| dc.identifier.citation | European Journal of Political Economy, 94 , p. 102864 (Art N° 102864) | - |
| dc.identifier.uri | http://hdl.handle.net/1942/49438 | - |
| dc.description.abstract | We investigate whether Islamist terrorist attacks on domestic soil affect asylum adjudication. Focusing on Belgium, we exploit exogenous variation in the timing of Islamist attacks relative to appeals before the Council for Alien Law Litigation (CALL). Analyzing all Dutch-language CALL verdicts from 2007 to 2020, and combining detailed case- and judge-level data with text-as-data measures of case content, we find no evidence of a generalized post-attack tightening of asylum decisions. Following Islamist attacks, the probability of granting protection declines only in cases with salient references to the Islamic State, particularly for male applicants from Muslim-majority countries and, notably, for verdicts delivered by experienced female judges. These effects dissipate over time, and no similar effects appear after non-Islamist attacks. Overall, our findings are inconsistent with generalized threat, emotion-based, and ingroup-bias accounts, suggesting instead that terrorism shocks influence legal institutions through temporary, context-dependent shifts in judges' evaluation of salient security-related case cues. | - |
| dc.description.sponsorship | This research was supported by a grant from the Special Research Fund (Bijzonder Onderzoeksfonds, BOF) (BOF reference: BOF19KP02), awarded by the Flemish government. We are grateful to the Belgian Council for Alien Law Litigation for making this project possible and to Legidex for data input and assistance. For helpful comments and suggestions we thank two anonymous reviewers and Davide Romelli, our editor. Generative AI (GPT-5.3 Instant, accessed via OpenAI) was used solely to assist with language editing of this paper. All final editing, content decisions, and responsibility for the work remain with the authors. | - |
| dc.language.iso | en | - |
| dc.publisher | Elsevier | - |
| dc.rights | 2026 Elsevier B.V. All rights are reserved, including those for text and data mining, AI training, and similar technologies. | - |
| dc.subject.other | Asylum | - |
| dc.subject.other | Terrorism | - |
| dc.subject.other | Judicial behavior | - |
| dc.subject.other | Threat salience | - |
| dc.subject.other | Belgium | - |
| dc.title | Justice under Threat: Terrorist Attacks and Asylum Adjudication | - |
| dc.type | Journal Contribution | - |
| dc.identifier.spage | 102864 | - |
| dc.identifier.volume | 94 | - |
| local.bibliographicCitation.jcat | A1 | - |
| local.type.refereed | Refereed | - |
| local.type.specified | Article | - |
| local.bibliographicCitation.status | Early view | - |
| local.bibliographicCitation.artnr | 102864 | - |
| dc.identifier.doi | 10.1016/j.ejpoleco.2026.102864 | - |
| local.provider.type | CrossRef | - |
| local.uhasselt.international | yes | - |
| item.accessRights | Restricted Access | - |
| item.fullcitation | BIELEN, Samantha; Grajzl, Peter & VAES, Diego (2026) Justice under Threat: Terrorist Attacks and Asylum Adjudication. In: European Journal of Political Economy, 94 , p. 102864 (Art N° 102864). | - |
| item.fulltext | With Fulltext | - |
| item.contributor | BIELEN, Samantha | - |
| item.contributor | Grajzl, Peter | - |
| item.contributor | VAES, Diego | - |
| crisitem.journal.issn | 0176-2680 | - |
| crisitem.journal.eissn | 1873-5703 | - |
| Appears in Collections: | Research publications | |
Files in This Item:
| File | Description | Size | Format | |
|---|---|---|---|---|
| 1-s2.0-S0176268026000595-main.pdf Restricted Access | Published version | 1.63 MB | Adobe PDF | View/Open Request a copy |
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