Davide Gritti
@davgritti.bsky.social
PostDoc Trento (IT) | PhD in Sociology | Family, wealth, life course | @csisunitn.bsky.social | https://sites.google.com/view/davidegritti/
🗳️ Why it matters
Italy just voted *NO* to a referendum that would have shortened the residence requirement for citizenship.
Our findings suggest: when access remains slow and selective, citizenship rewards those already integrated
www.bbc.com/news/article...
Italy just voted *NO* to a referendum that would have shortened the residence requirement for citizenship.
Our findings suggest: when access remains slow and selective, citizenship rewards those already integrated
www.bbc.com/news/article...
Italian citizenship referendum void after low turnout
Only about 30% of Italians cast a vote - well below the 50% threshold needed to make a poll binding.
www.bbc.com
July 14, 2025 at 1:39 PM
🗳️ Why it matters
Italy just voted *NO* to a referendum that would have shortened the residence requirement for citizenship.
Our findings suggest: when access remains slow and selective, citizenship rewards those already integrated
www.bbc.com/news/article...
Italy just voted *NO* to a referendum that would have shortened the residence requirement for citizenship.
Our findings suggest: when access remains slow and selective, citizenship rewards those already integrated
www.bbc.com/news/article...
🧪 Data & Methods
We link longitudinal survey data with administrative registers on income & naturalisations (2012–2021).
We use growth curve models + two-way fixed effects to control for observable selection bias
We link longitudinal survey data with administrative registers on income & naturalisations (2012–2021).
We use growth curve models + two-way fixed effects to control for observable selection bias
July 14, 2025 at 1:39 PM
🧪 Data & Methods
We link longitudinal survey data with administrative registers on income & naturalisations (2012–2021).
We use growth curve models + two-way fixed effects to control for observable selection bias
We link longitudinal survey data with administrative registers on income & naturalisations (2012–2021).
We use growth curve models + two-way fixed effects to control for observable selection bias