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Giovanni Mellace

@giovannimellace.bsky.social

Professor at the University of Southern Denmark and chairperson of the Econometrics and Data Science research platform. I work on Causal Inference.

42 Posts673 Follower178 Folgt
Giovanni Mellace@giovannimellace.bsky.social · 2mo ago

In 1961 Cuba bet everything on health and education. Did it work? New paper with Rok Spruk follows the next 60 years and finds the payoff was real and lasting: fewer infant deaths, longer lives, and human capital that compounded for generations. arxiv.org/abs/2605.29785

Long-Term Health and Human Capital Effects of Universal Health Care and Mass Literacy: Evidence from Cuba

We estimate long-run effects of Cuba's 1961 National Health Service and contemporaneous National Literacy Campaign using synthetic-control methods on newly assembled series for 21 former European colo...

arxiv.org

Giovanni Mellace@giovannimellace.bsky.social · 4mo ago

Dealing with many weak instruments? 📉 Our new paper "Jackknife Instrumental Variable Inference" (JIVI) provides robust tests for models with endogeneity & heteroskedasticity. Better size and power in tough settings! 🚀 Read the full draft: arxiv.org/abs/2604.1543

Jackknife Instrumental Variable Inference

This paper introduces a class of jackknife-based test statistics for linear regression models with endogeneity and heteroskedasticity in the presence of many potentially weak instrumental variables. T...

arxiv.org

Review of Economics and Statistics (REStat)@restatjournal.bsky.social · 8mo ago

A new way to estimate causal effects when using several IVs. Just Accepted new paper by Nadja van’t Hoff, Arthur Lewbel, and Giovanni Mellace zurl.co/XZvKK

Limited Monotonicity and the Combined Compliers LATE

Abstract. We consider endogenous binary treatment with multiple binary instruments. We propose a novel limited monotonicity (LiM) assumption that is generally weaker than alternative monotonicity assumptions in the literature. We define and identify (under LiM) the combined compliers local average treatment effect (CC-LATE), which is arguably a more policy-relevant parameter than the weighted average of LATEs identified by two-stage least squares (TSLS), and is identified under more general conditions. Estimating the CC-LATE is trivial, equivalent to running TSLS with one constructed instrument on a subsample. We use our CC-LATE to empirically assess how knowledge of HIV status influences protective behaviors.

zurl.co

Giovanni Mellace@giovannimellace.bsky.social · 11mo ago

Excited to share our new paper on arXiv! 📢 With my amazing colleagues Seetha Menon and Nadja van 't Hoff, we show that—contrary to common belief—men use more healthcare than women when faced with an unexpected health shock. 🔗 arxiv.org/abs/2509.01310

Gender Differences in Healthcare Utilisation - Evidence from Unexpected Adverse Health Shocks

This paper is the first to provide causal evidence of gender differences in healthcare utilisation to better understand the male-female health-survival paradox, where women live longer but experience ...

arxiv.org

Julius Koschnick@juliuskoschnick.bsky.social · last yr.

🚨🚨🚨PhD summer school at the University of Southern Denmark 🚨🚨🚨What can we learn about tariffs and trade from history? Chris Meisner, our keynote speaker, is one of the most renowned experts on historical trade and policy. + Learn ML + NLP tools in a hands-on-approach. Join us 11-22 August 2025!

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Giovanni Mellace@giovannimellace.bsky.social · last yr.

Looking for a salaried PhD position? Join my colleague in a cutting-edge research project at SDU, in collaboration with MIT, to explore the transformative impact of disability reforms with register data! Apply here: fa-eosd-saasfaprod1.fa.ocs.oraclecloud.com/hcmUI/Candid...

PhD scholarship for research project on disability reform in Applied Economics

Application deadline: April 1, 2025, 23.59 CET.

fa-eosd-saasfaprod1.fa.ocs.oraclecloud.com

Giovanni Mellace@giovannimellace.bsky.social · last yr.

Is your outcome a qualitative variable, but you still want to conduct causal inference? Check out our new paper Causal Inference for Qualitative Outcomes! We provide an open-source R package,causalQual , for easy implementation: 🔗 github.com/riccardo-df/... 📄 arxiv.org/abs/2502.11691

Causal Inference for Qualitative Outcomes

Causal inference methods such as instrumental variables, regression discontinuity, and difference-in-differences are widely used to estimate treatment effects. However, their application to qualitativ...

arxiv.org

Andreas Steinmayr@andreassteinmayr.net · 2y ago

Our latest research with Toman Barsbai and Christoph Winter is now forthcoming in JOLE! 📄 We explore how labor market conditions at arrival shape migrants’ integration, showing that arriving during recessions pushes migrants into lower-paying jobs—a persistent effect lasting over 10 years.

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Journal of Labor Economics@jlaborecon.bsky.social · 2y ago

Forthcoming in JOLE: "Immigrating into a Recession: Evidence from Family Migrants to the U.S." by Toman Barsbai, Andreas Steinmayr, and Christoph Winter www.journals.uchicag... @ChicagoJournals #EconSky

Michael Knaus@mcknaus.bsky.social · 2y ago

New WP 🚨 1. Recipe to write estimators as weighted outcomes 2. Double ML and causal forests as weighting estimators 3. Plug&play classic covariate balancing checks 4. Explains why Causal ML fails to find an effect of 1 with noiseless outcome Y = 1 + D 5. More fun facts arxiv.org/abs/2411.11559

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Giovanni Mellace@giovannimellace.bsky.social · 2y ago

Roberta Di Stefano and I have updated our paper, "The Inclusive Synthetic Control Method." The new version, now incorporating the penalized SCM in our application, is available here: arxiv.org/abs/2403.17624.

The inclusive Synthetic Control Method

We introduce the inclusive synthetic control method (iSCM), a modification of synthetic control methods that includes units in the donor pool potentially affected, directly or indirectly, by an interv...

arxiv.org

Federico Crudu@fedeabides.bsky.social · 2y ago

I'm happy to share that our paper with @giovannimellace.bsky.social , Roberta Di Stefano, and Silvia Tiezzi has been accepted in Labour Economics. www.sciencedirect.com/science/arti...

The gray zone: How not imposing a strict lockdown at the beginning of a pandemic can cost many lives

The public debate on the effectiveness of lockdown measures is far from being settled. We estimate the impact of not having implemented a strict lockd…

sciencedirect.com

Christian Vedel@christianvedel.bsky.social · 2y ago

🚨New language model for historical occupations🚨 OccCANINE is a new tool, which turns occupational descriptions (in all their pesky variety) into standard HISCO codes. Accurate, multilingual and fast. Developed by Christian M. Dahl, Torben Johansen, and myself (1/12)

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Giovanni Mellace@giovannimellace.bsky.social · 2y ago

Roberta Di Stefano and I have substantially updated our paper the "inclusive Synthetic Control Method" (available here arxiv.org/abs/2403.17624). Our iSCM allows to include units affected directly or in indirectly by the treatment in the donor pool and it works with most SC-type estimators.

The inclusive Synthetic Control Method

We introduce the inclusive synthetic control method (iSCM), a modification of synthetic control type methods that allows the inclusion of units potentially affected directly or indirectly by an...

arxiv.org

Michael Knaus@mcknaus.bsky.social · 2y ago

Very happy to contribute to this great initiative to #SupportUkraine When? April 11th What? 2h of fun understanding how (easy) DoubleML and Causal Forests of @VC31415 and @Susan_Athey work by replicating R output in few lines of code. #RStats How? Sign up here t.ly/3weFr

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Dariia Mykhailyshyna@dariia.bsky.social · 2y ago

An upd report on our workshops for Ukraine series on #RStats, #Python & more. So far, we have raised >62k euro & the workshops have been attended by > 2800 ppl! you can find more info on how you can help & a detailed report. All info on workshops: bit.ly/3wBeY4S 1/n