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Luca Fumarco

@lfumarco

Asst Prof, @econmuni.bsky.social; @iza.org, GLO, @j-pal.bsky.social. Before @tulaneu.bsky.social, and @statec-luxembourg.bsky.social. Studies (mostly) on discrimination w/ RCTs and age at school entry. https://sites.google.com/site/lucafumarco

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Latest posts by Luca Fumarco @lfumarco

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The Economics of Age at School Entry: Insights from Evidence and Methods (Forthcoming Article) - This article reviews the growing literature on age at school entry and its effects over the life course. Age at school entry affects a broad range of outcomes, including education, labor-market performance, health, social relationships, and family formation. We synthesize the evidence using a conceptual framework that distinguishes four empirically intertwined components of age at school entry: starting age, age at outcome, relative age, and time in school. Within this framework, we highlight six key channels through which age at school entry operates. While the effects of age at school entry are often substantial and persistent, many studies estimate bundled impacts without isolating specific components or directly measuring underlying mechanisms. We explain how different research designs capture distinct combinations of these components. We also highlight how institutional heterogeneity and behavioral responses can complicate the interpretation of results. We conclude by outlining directions for future research and policy design.

Forthcoming in the JEL: "The Economics of Age at School Entry: Insights from Evidence and Methods" by Mariagrazia Cavallo, Elizabeth Dhuey, Luca Fumarco, Levi Halewyck, and Simon ter Meulen.

05.03.2026 11:40 πŸ‘ 9 πŸ” 3 πŸ’¬ 0 πŸ“Œ 1

#econsky

06.03.2026 22:48 πŸ‘ 0 πŸ” 0 πŸ’¬ 0 πŸ“Œ 0

Working paper versions (online appendixes included) are available via, e.g., IZA, GLO, and EdWorkingPapers.

What ASE finding surprised you most? And where should future work focus β€” relative-age mechanisms? Long-run health? Family spillovers? Would love to hear. 9/9

06.03.2026 22:46 πŸ‘ 1 πŸ” 0 πŸ’¬ 1 πŸ“Œ 0

For policymakers: ASE effects are real, multidimensional, and often long-lasting. And, we suspect, researchers are still just scratching the surface. 8/9

06.03.2026 22:46 πŸ‘ 1 πŸ” 0 πŸ’¬ 1 πŸ“Œ 0

For researchers: the paper maps the literature and flags where conceptual and identification clarity can still improve. Appendixes cover 50+ paper summaries, school cutoff dates worldwide, and list 250+ readings. 7/9

06.03.2026 22:46 πŸ‘ 2 πŸ” 1 πŸ’¬ 1 πŸ“Œ 0

Relative age is the most underappreciated component. Its effects are especially sticky in:
πŸ”Ή Behavioral assessments
πŸ”Ή ADHD diagnoses
πŸ”Ή Special education placement
Why? As a possible answer, schools benchmark kids against classmates β€” not against developmental norms. 6/9

06.03.2026 22:46 πŸ‘ 1 πŸ” 0 πŸ’¬ 1 πŸ“Œ 0

A central insight: most ASE estimates are composite effects. Even clean RDD designs with grade-level outcomes bundle multiple components mechanically.
Knowing the exact source of variation is essential for results interpretation. 5/9

06.03.2026 22:46 πŸ‘ 1 πŸ” 0 πŸ’¬ 1 πŸ“Œ 0

Methods matter β€” a lot. We walk through 2SLS, RDD, DiD, and reduced-form approaches, and clarify what each design actually identifies (and what it doesn't).
Cross-jurisdiction variation matters too β€” tracking systems, diagnostic rules, dropout policies β€” is often underused and underappreciated. 4/9

06.03.2026 22:46 πŸ‘ 1 πŸ” 0 πŸ’¬ 1 πŸ“Œ 0

We propose a clean conceptual framework. ASE has four distinct components:
β†’ Starting-age (maturity at entry)
β†’ Age-at-outcome (how old you are when measured)
β†’ Relative-age (your rank within the class)
β†’ Time-in-school (cumulative exposure)
And they have an impact through various channels. 3/9

06.03.2026 22:46 πŸ‘ 1 πŸ” 0 πŸ’¬ 1 πŸ“Œ 0

Being slightly older/younger when you start school matters. Age at school entry (ASE) shapes:
πŸ“š Educational attainment
πŸ’Ό Earnings & employment
🧠 Mental & physical health
πŸ‘₯ Social relationships
βš–οΈ Crime
πŸ’ Family formation
Economists largely ignored this topic for decades. Not anymore. 2/9

06.03.2026 22:46 πŸ‘ 1 πŸ” 0 πŸ’¬ 1 πŸ“Œ 0

🚨Forthcoming paper, @aeajournals.bsky.social 🚨#econsky
A thread 🧡 on "The Economics of Age at School Entry: Insights from Evidence and Methods". Humbled to work w/ @mariagraziacavallo.bsky.social, @bdhuey.bsky.social, Levi Halewyck & Simon ter Meulen 1/9

06.03.2026 22:46 πŸ‘ 10 πŸ” 6 πŸ’¬ 1 πŸ“Œ 0

many thanks!

25.02.2026 18:23 πŸ‘ 0 πŸ” 0 πŸ’¬ 0 πŸ“Œ 0

it is a survey of the literature on age at school entry. in some days, we ll post the usual thread w more details

25.02.2026 08:59 πŸ‘ 1 πŸ” 0 πŸ’¬ 1 πŸ“Œ 0

yep, that's it (and bookmarklet is the word i should ve used instead of app, sorry)

25.02.2026 08:58 πŸ‘ 1 πŸ” 0 πŸ’¬ 1 πŸ“Œ 0

you cannot install it on edge, or?

25.02.2026 08:51 πŸ‘ 0 πŸ” 0 πŸ’¬ 1 πŸ“Œ 0

Grazie Alfredo!

24.02.2026 12:09 πŸ‘ 1 πŸ” 0 πŸ’¬ 0 πŸ“Œ 0

Many thanks!

24.02.2026 10:55 πŸ‘ 1 πŸ” 0 πŸ’¬ 0 πŸ“Œ 0

Aaah! Waking up in the morning to an acceptance decision from the Journal of Economic Literature...it feels great!

24.02.2026 07:00 πŸ‘ 23 πŸ” 0 πŸ’¬ 3 πŸ“Œ 0

pitty altmetric app works only on a couple of browsers. great feature though

23.02.2026 05:28 πŸ‘ 1 πŸ” 0 πŸ’¬ 1 πŸ“Œ 0
Preview
The political effects of X’s feed algorithm - Nature Among users initially on a chronological feed, 7 weeks of exposure to X’s algorithmic feed in 2023 shifted political attitudes and account-following behaviour in a more conservative direction compared...

www.nature.com/articles/s41...

yet again, a good reason for using this platform?

23.02.2026 04:52 πŸ‘ 1 πŸ” 0 πŸ’¬ 0 πŸ“Œ 0

it's great: it reads like a 80s song title, econ vibes though

21.02.2026 19:50 πŸ‘ 0 πŸ” 0 πŸ’¬ 0 πŸ“Œ 0

how was the murder rate in the years before covid-19?

19.02.2026 13:07 πŸ‘ 2 πŸ” 0 πŸ’¬ 0 πŸ“Œ 0
Fig. 4. Regression results of heckles for female speakers and male interrupters. Note: The points show marginal effects from the triple-interaction model in Eq. (2), estimated relative to the first Bundestag period and displayed with 95% confidence intervals. Panel (a) reports the estimate for , capturing the effect of having a female speaker; Panel (b) presents the estimate for , representing the effect of a male MP as the potential interrupter; and Panel (c) shows the interaction between male interrupters and female speakers, measured by . Full regression results are provided in Appendix Table A1.

Fig. 4. Regression results of heckles for female speakers and male interrupters. Note: The points show marginal effects from the triple-interaction model in Eq. (2), estimated relative to the first Bundestag period and displayed with 95% confidence intervals. Panel (a) reports the estimate for , capturing the effect of having a female speaker; Panel (b) presents the estimate for , representing the effect of a male MP as the potential interrupter; and Panel (c) shows the interaction between male interrupters and female speakers, measured by . Full regression results are provided in Appendix Table A1.

Title Decoding discourse: Gendered heckling in German Bundestag debates (1949–2021)
Author Teresa Hailer-RΓΆthel
Abstract
This paper investigates the gendered dynamics of parliamentary interruptions in the German Bundestag across 19 legislative periods (1949–2021). Motivated by anecdotal and journalistic reports of sexist heckling, the study examines whether female politicians face more frequent interruptions and, if so, under which conditions. Using a newly constructed dyadic dataset that links over 200,000 interruptions to individual speeches, the analysis explores how gender, ideology, and institutional position shape patterns of adversarial behavior. The findings reveal that in earlier decades, female MPs were not primarily interrupted by men, while since the late 1980s such a gendered pattern has become observable. In addition, heckling of female MPs often originates from opposing ideological camps or parliamentary blocs. These results nuance existing theories of gender bias in political discourse by highlighting how ideological conflict and inter-gender competition shape communicative power in parliamentary settings.

Title Decoding discourse: Gendered heckling in German Bundestag debates (1949–2021) Author Teresa Hailer-RΓΆthel Abstract This paper investigates the gendered dynamics of parliamentary interruptions in the German Bundestag across 19 legislative periods (1949–2021). Motivated by anecdotal and journalistic reports of sexist heckling, the study examines whether female politicians face more frequent interruptions and, if so, under which conditions. Using a newly constructed dyadic dataset that links over 200,000 interruptions to individual speeches, the analysis explores how gender, ideology, and institutional position shape patterns of adversarial behavior. The findings reveal that in earlier decades, female MPs were not primarily interrupted by men, while since the late 1980s such a gendered pattern has become observable. In addition, heckling of female MPs often originates from opposing ideological camps or parliamentary blocs. These results nuance existing theories of gender bias in political discourse by highlighting how ideological conflict and inter-gender competition shape communicative power in parliamentary settings.

Interesting paper on the gendered heckling the German Bundestag www.sciencedirect.com/science/arti...

09.02.2026 10:25 πŸ‘ 11 πŸ” 3 πŸ’¬ 0 πŸ“Œ 0
Stanford Agentic Reviewer - Submit Paper

hey #econsky, here is another cool AI: paperreview.ai from Stanford ML group. This is an AI reviewer, it (apparently) works well with econ papers! It is free, you just enter an API key, and then paperreview will email you a report within minutes.

07.02.2026 16:24 πŸ‘ 5 πŸ” 1 πŸ’¬ 0 πŸ“Œ 0

hey #econsky, check this out: seminar-dry-run.vercel.app from @plausiblyexog.bsky.social. Very cool way to train for seminars: AI listens to your presentation, asks you questions, and then provides you with feedback!

07.02.2026 15:26 πŸ‘ 3 πŸ” 1 πŸ’¬ 0 πŸ“Œ 0

I see some optimist in "new stable equilibrium"

24.01.2026 09:28 πŸ‘ 0 πŸ” 0 πŸ’¬ 0 πŸ“Œ 0

Mediation analyses indicate that part of this effect operates through educational pathways: older students are less likely to experience delays and more likely to have student jobs. These factors explain someβ€”but not allβ€”of the relative age advantage.

19.01.2026 22:26 πŸ‘ 0 πŸ” 0 πŸ’¬ 0 πŸ“Œ 0

Being almost one year older within a cohort increases the probability of employment one year after graduation by 3.5 p.p., and raises the likelihood of obtaining a permanent (+5.1 p.p.) or full‑time (+6.5 p.p.) contract.

19.01.2026 22:26 πŸ‘ 0 πŸ” 0 πŸ’¬ 1 πŸ“Œ 0

Using rich Flemish survey data and a 2SLS strategy, we study whether being older than one’s classmates due to school entry rules affects the transition from school to work.

19.01.2026 22:26 πŸ‘ 0 πŸ” 0 πŸ’¬ 1 πŸ“Œ 0
Preview
Does Month of Birth Affect Speed and Quality of Transition from School to Work? - De Economist This study estimates the impact of relative age (i.e., the difference in classmates’ ages) on both the speed and quality of individuals’ transition from education to the labour market, and investigate...

🚨new pub!🚨
link.springer.com/article/10.1...
W/ S. Baert, L. Halewyck, E. Moens, A. Vandromme
We show that small differences in age at school entry can meaningfully shape early career outcomes. A short overview πŸ‘‡

19.01.2026 22:26 πŸ‘ 4 πŸ” 1 πŸ’¬ 1 πŸ“Œ 0