Majlinda Joxhe
Fiscal Effects of Migrants in Europe: A Quantile Regression Approach
Joxhe, Majlinda; Scaramozzino, Pasquale; Zanaj, Skerdilajda
Abstract
In this paper, we explore the fiscal impact of immigrants in Europe applying a quantile regression approach to data from the European Survey on Living Conditions (EU-SILC) for the period 2007-2015. Our estimations show that not only on average but also in almost all income quantiles, the fiscal position of both European and non-European migrants is not significantly different from that of native citizens. Furthermore, non-EU migrants are net contributors as compared to the corresponding native citizens in the Netherlands and Belgium for various quantiles. Lastly, we examine the link between migrants’ fiscal position and the fiscal perception of native European citizens measured using ESS data. We find a conflicting relationship: countries where migrants are perceived negatively are instead countries where they are net fiscal contributors and vice versa.
Citation
Joxhe, M., Scaramozzino, P., & Zanaj, S. Fiscal Effects of Migrants in Europe: A Quantile Regression Approach. Luxembourg
Working Paper Type | Working Paper |
---|---|
Deposit Date | Mar 4, 2020 |
Pages | 1-24 |
Keywords | Fiscal Impact, Immigration, Quantile Regression, European Countries |
Related Public URLs | https://wwwen.uni.lu/research/fdef/dem/publications2/discussion_papers |
This file is under embargo due to copyright reasons.
Contact outputs@soas.ac.uk to request a copy for personal use.
You might also like
Debt and Financial Fragility: Italian Non-Financial Companies after the Pandemic
(2024)
Journal Article
The Public Finance Position of Immigrants in Europe: A Quantile Regression Approach
(2023)
Journal Article
Dividends Policy and Payouts: Evidence from South Africa
(2023)
Preprint / Working Paper
Gains from Variety: Refugee-Host Interactions in Uganda
(2023)
Preprint / Working Paper
Debt and Financial Fragility: Italian Non-Financial Companies after the Pandemic
(2023)
Preprint / Working Paper
Downloadable Citations
About SOAS Research Online
Administrator e-mail: outputs@soas.ac.uk
This application uses the following open-source libraries:
SheetJS Community Edition
Apache License Version 2.0 (http://www.apache.org/licenses/)
PDF.js
Apache License Version 2.0 (http://www.apache.org/licenses/)
Font Awesome
SIL OFL 1.1 (http://scripts.sil.org/OFL)
MIT License (http://opensource.org/licenses/mit-license.html)
CC BY 3.0 ( http://creativecommons.org/licenses/by/3.0/)
Powered by Worktribe © 2025
Advanced Search