Events

How do tax incentives for high-skilled migrants affect income inequality? This paper examines Italy's preferential tax regime (2016–2022) using microsimulation methods to reveal the distributional consequences — across Gini coefficients, top income shares, and tax progressivity — of policies designed to attract mobile talent.

Using a large-scale correspondence study in French- and German-speaking Switzerland, this seminar examines how ethnic and linguistic boundaries shape access to early childcare. Results reveal early-stage gatekeeping driven more by regional institutional contexts than by group familiarity, with broader implications for cumulative disadvantage over the life course.

Evento di premiazione del miglior studio in Valutazione delle Politiche Pubbliche, dedicato a Beniamino Andreatta, economista e uomo di Stato trentino.

In Italia, la spesa pubblica ammonta a circa 900 miliardi annui, eppure gli strumenti analitici per valutarne l'efficacia restano sottoutilizzati. Il seminario affronta questa lacuna, partendo da una recente iniziativa del Ministero dell'economia e delle finanze volta a introdurre metodi di valutazione sistematici nelle amministrazioni centrali. L'obiettivo è migliorare la qualità della spesa e l'allocazione delle risorse — anche in sede di legge di bilancio — attraverso una revisione fondata su solida evidenza empirica.

This seminar examines administrative microdata access in Europe, demonstrating benefits for researchers, policymakers, and citizens. It addresses access barriers through two parts: EU country experiences from data users' perspectives, and stakeholder benefits across policy areas. The work serves researchers seeking data access, institutions managing databases, and policymakers improving data availability.

Il seminario esplora il legame tra competenze digitali e di base, evidenziando come siano interconnesse e reciprocamente costitutive. Le competenze digitali richiedono un ripensamento di quelle fondamentali per un uso critico di tecnologie e IA. Se ben integrate nella didattica, ampliano le capacità degli studenti, pur richiedendo attenzione ai rischi. Le prove INVALSI valutano queste competenze con compiti autentici, offrendo dati utili per politiche educative.

Experts often choose between numbers and language when communicating estimates. We find that incentives to persuade increase language use by 25–29 percentage points. Experts slant language more than numbers, and receivers are effectively persuaded. Our findings suggest experts leverage language's imprecision to communicate slanted messages, with implications for expert communication in policy and public discourse.

Il welfare necessita di una revisione che privilegi la prevenzione lungo tutto il ciclo di vita, non solo il pensionamento. Un approccio strutturale deve contrastare povertà e fragilità dall'istruzione alla famiglia, perseguendo vera parità di opportunità ed equità intergenerazionale. Occorre innalzare la consapevolezza individuale e la qualità delle scelte collettive, guardando oltre il breve periodo.

This seminar presents DiRECT, a novel corporate tax microsimulation model covering 4.3 million firms across nine EU countries (2016-2019). It simulates tax bases, liabilities, and key deductions using accounting data, producing firm-level effective tax rates and book-tax differences. Validated against administrative data, DiRECT enables analysis of tax burden distributions and evaluation of corporate tax reform impacts.

This talk begins with a brief description of the wealth distribution as a reminder of the extreme level of wealth inequality in Western countries. It then presents results from a real-utopian style proposal for wealth redistribution and discusses its promises and limits, ultimately leading to a push for a new perspective on wealth inequality, namely the question of wealth predistribution, or “what is owned”?

This seminar explores how workers across 176 occupations perceive Large Language Models—as opportunity or threat—and how these views shape policy preferences. Through a cross-national survey experiment, it explores whether exposure to AI capabilities influences support for economic redistribution, labor protections, and other policy responses to automation.

A randomized evaluation of an Italian labor market integration program for asylum seekers shows significant success: employment rates increased by 10 percentage points (30% above baseline) over 18 months through personalized mentoring and job placement. The program improved job quality, facilitated formal employment transitions via subsidized internships, and enhanced broader socioeconomic integration including language skills and social networks.