Marina Della Giusta
@mardelgiu.bsky.social
890 followers 850 following 75 posts

Econ Prof University of Turin, Collegio Carlo Alberto Affiliate, Fellow LSE and IZA. Behavioural and labor economist.

Economics 20%
Sociology 20%
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mardelgiu.bsky.social
📢 NEW PAPER!
Do teachers recognize stereotypes in the classroom? We introduce the Stereotype Identification Test (SIT) to measure this ability and explore whether it can be improved.

🧵 A short thread on our findings: ⬇

mardelgiu.bsky.social
Saturday at the European Researchers' Night #MSCA @vivipatti.bsky.social proudly presenting #Harmonia (www.harmonia.di.unito.it) and #Fairly (inclusive writing with AI) @dinunito.bsky.social

mardelgiu.bsky.social
6/6 Illicit trade in cultural goods affects not just markets, but identity & heritage. Our paper shows how trade data can reveal these hidden flows—and why better cooperation is essential. Looking forward to your comments!
📄 Read here 👉https://doi.org/10.1007/s10824-025-09555-z

mardelgiu.bsky.social
5/6 Policy takeaways:
♦️ Legal frameworks alone are insufficient!
♦️UNIDROIT 1995 is more effective than UNESCO 1970—but major markets (US, UK) haven’t ratified.
Enforcement capacity + international cooperation are crucial.

mardelgiu.bsky.social
4/6 Findings:
☑️Gaps grow with interest in Italian culture 📈
☑️Stronger corruption control reduces gaps in regulated markets (sculptures, antiques)
☑️Archaeological property: post-2010 spike → linked to Arab Spring looting

mardelgiu.bsky.social
3/6 🔎 Our contributions:
1️⃣ A new Cultural Salience Index (Google Trends data) to capture demand for Italian culture.
2️⃣ Gravity model of trade gaps, linking them to GDP, distance, corruption, and salience.
3️⃣ Assessment of UNESCO 1970 & UNIDROIT 1995 conventions.

mardelgiu.bsky.social
2/6 We study trade gaps: the difference between Italy’s reported exports and partner countries’ reported imports in:
🎨 Paintings
🗿 Sculptures
🕰️ Antiques
🏺 Archaeological property

mardelgiu.bsky.social
🚨 New publication in Journal of Cultural Economics!
“Illicit shadows: the cultural goods trade gap for Italy”
with @EliaAcciai, Michele Belloni & Giovanna Segre
🇮🇹 vast cultural heritage
⚠️ high exposure to art theft & smuggling
👮 a specialized police unit (Carabinieri TPC)
A short🧵...

mardelgiu.bsky.social
8/ Low-cost information interventions work, BUT messaging must be context-sensitive: Private narratives foster personal responsibility, public narratives risk backfiring when trust in institutions is low or public provision is seen as sufficient. docs.iza.org/dp18054.pdf
docs.iza.org

mardelgiu.bsky.social
7/ Geographic differences: 🌍 In post-communist countries, public & neutral framings lower donations—likely reflecting lower institutional trust & weaker private giving norms.
docs.iza.org

mardelgiu.bsky.social
6/ Heterogeneity matters: 🔹 Stronger effects among those with lived experience or high concern. 🔹 But when people perceive public provision as adequate, collective framings reduce private contributions → a substitution effect.
docs.iza.org

mardelgiu.bsky.social
5/ Stigma reduction emerges as a key mechanism: 🧠 All framings significantly reduce mental health stigma. This partly explains higher donations, especially under public framing.
docs.iza.org

mardelgiu.bsky.social
4/ Main findings: ✅ All three mental health framings significantly increase cooperation & donations vs. control. ✅ People act even without expecting others to do the same → intrinsic motivation matters!
docs.iza.org

mardelgiu.bsky.social
3/ After exposure, participants made real-money decisions:
A Public Goods Game → cooperation measured via contributions.
A Charity Dictator Game → donations to mental health & other causes.
docs.iza.org

mardelgiu.bsky.social
2/ Participants were randomly exposed to one of three framings:
🔹 Private → individual benefits of investing in mental health
🔹 Public → collective benefits for society
🔹 Neutral → prevalence facts only
docs.iza.org

mardelgiu.bsky.social
1/ Mental health is key for well-being & productivity, yet investment remains chronically low. We ran a pre-registered online experiment (N = 8,312) in 🇫🇷 🇩🇪 🇮🇹 🇪🇸 🇸🇪 🇱🇻 🇸🇰 to test how different framings affect citizens’ willingness to act.
docs.iza.org

mardelgiu.bsky.social
📢🧵 New paper! How do information framing affect cooperation & donations for mental health investments across Europe? 🌍🧠 w/ Pierluigi Conzo,
@florentdubois.bsky.social, Giovanni Razzu & Giacomo Rosso
docs.iza.org
uor-research.bsky.social
This #WorldBreastfeedingWeek2025 make your workplace part of the #WarmChain of Support.

In this blog @profsarahjewell.bsky.social introduces a new toolkit designed to help employers create breastfeeding-friendly workplaces.

#PrioritiseBreastfeeding #WBW2025 #CreateSustainableSupportSystems
#WABA
Creating a breastfeeding-friendly workplace: Why employers hold the key - Connecting Research
rdg.ac

mardelgiu.bsky.social
📄 Read the paper: docs.iza.org/dp18013.pdf
We welcome feedback!
#SocialMedia #MentalHealth #Puberty #YouthRisk
docs.iza.org

mardelgiu.bsky.social
🚫 The link with drug use is positive but less robust.
✅ Strongest risky behaviour links: alcohol and early sexual activity. Policy implication:
Social media is not just a passive activity—it may be a risky behaviour in itself for adolescents.

mardelgiu.bsky.social
6/
Early puberty matters: it’s associated with higher risk-taking in adolescence.
Our mediation analysis shows:
Earlier menarche partially explains increases in smoking, drinking, and early sexual initiation among heavy users.

mardelgiu.bsky.social
5/
We find both direct and indirect effects:
➡️Direct: intensive social media use accelerates menarche.
⏩Indirect: poorer mental health mediates part of the effect.

mardelgiu.bsky.social
4/
Why? Our evidence points to stress and mental health deterioration as a likely mechanism.
Heavy social media use → more stress/anxiety → earlier puberty onset.
This aligns with medical literature linking stress to earlier menarche.

mardelgiu.bsky.social
3/💡 Key finding: Girls who use social media intensively at age 11 are more likely to experience earlier menarche. ➡️ Effect size: +2–4 percentage points in probability of starting menstruation earlier. No clear effect for boys' puberty markers.

mardelgiu.bsky.social
2/ We use data from the Millennium Cohort Study tracking ~19,000 UK 🇬🇧children from birth to age 17 and link social media use at ages 11, 14, and 17 with puberty markers and risky behaviours.

Reposted by Davide Dragone

mardelgiu.bsky.social
📢🧵 New paper! #EconTwitter
How does intensive social media use affect puberty timing and risky behaviours in adolescence?
📄 Riskonnected: Social Media, Puberty and Risky Behaviours in Adolescence with Margherita Agnoletto
and Silvia Mendolia #ChildDevelopment #DigitalWellbeing
steffenhuck.bsky.social
4 weeks to the deadline for the EER special issue for Nora. It will be tremendous. We have some really excellent papers form some of the best authors in our field. And no upper limit on quantity. Consider sending us your best work that fits to Nora’s interests. www.sciencedirect.com/special-issu...

Reposted by Davide Dragone

mardelgiu.bsky.social
We contributes to the economics of:
➡️Sexual behavior
➡️Human capital
➡️Gender
➡️Labor
➡️Fertility
📄: @https://www.iza.org/publications/dp/18002/an-economic-theory-of-sexual-exchanges-and-human-capital Feedback welcome! @scottcunningham.bsky.social @draliceevans.bsky.social

mardelgiu.bsky.social
📢 Relevance for policy- Our model can simulate effects of:
✅ Legalizing or criminalizing sex work
✅Digital sex tech
✅Educational interventions on relational skills
✅Shifts in gender norms and wages

Reposted by Davide Dragone

mardelgiu.bsky.social
🧠 We contribute a unified rational choice framework that:
🔬Encompasses paid sex and marriage
🔬Explains segregation in sex markets
🔬Models sexual activity and fertility as time allocations
🔬Endogenizes gendered outcomes via norms and human capital

mardelgiu.bsky.social
👩‍🎓 Implications for gender and education:
Gender norms shape relational skill acquisition.
This explains gendered occupational sorting—including into sex work—and has implications for labor markets, fertility, and policy.