Replication study · Romania

Do medical health ministers make different choices?

A single-country case study asking whether it mattered that Romania's Minister of Health was a physician, a dentist, a lawyer, or an economist — built as an out-of-sample extension of a 30-country study.

Extends Antonini, Costa-Font, Marchi & Winberg (2026), Governance · doi:10.1111/gove.70135  ·  Romania, 1990–2025  ·  public data

Annex: all 32 health ministers  →

32
ministerial spells
75%
held a medical degree
9 mo
median tenure
1990–2025
years covered

The takeaway

Aligned to the original paper's actual outcome measures, Romania weakly corroborates its central finding: years run by a medically-trained (MD) minister show a higher share of spending on prevention (1.82% vs 1.49% of health spending, excluding COVID) with no change in total health spending — the paper's "reallocation, not expansion" pattern.

But the signal is thin (prevention data exist for only 13 years), and a single country cannot reproduce the paper's identification strategy. This is honest descriptive corroboration — not proof of a causal effect.

01The question

The original study examines whether a health minister's clinical training shapes what a health system spends on and how it performs, across ~30 OECD countries (1993–2014) using a country-and-year fixed-effects panel. Its headline result: MD ministers don't grow total budgets — they reallocate toward preventive care (vaccines, screening), by roughly 11–14%.

Romania isn't in that sample (it isn't an OECD member), which makes it a clean out-of-sample test. We rebuilt the minister-by-minister record since 1990 and asked the same question of the same outcomes.

02What we found

Direction of the association in Romania versus the original 30-country study. Signs are comparable; magnitudes are not (different units, samples, and — crucially — identification).

OutcomeOriginal study (MD effect)RomaniaVerdict
Prevention spending
(% of health spending)
+11–14%  (robust) MD 1.82% vs 1.49%
excl. COVID
consistent (weak)
Total health spending
(% of GDP)
no effect no effect consistent (both null)
Crude death rate slight reduction confounded by ageing
& emigration
inconclusive
Measles immunization positive (not sig.) negative overall, but
positive in 1993–2014
mixed

On the dimension where the original study makes its strongest claim — shifting money toward prevention without spending more overall — Romania leans the same way. Where the study relies on its multi-country panel to scrub out confounders (the death rate), Romania's single time series is dominated by demographics and can't speak.

03The evidence, in three charts

Prevention spending by minister type, 2011–2023
Prevention spending by minister type. MD-minister years average a higher preventive-care share (dashed lines, excluding COVID), consistent with the original study — but on just 13 years of data, and inflated by the 2021–22 pandemic surge.
Minister medical background versus health outcomes, 1990–2025
The era confound, visualized. Green bands mark MD-minister years, grey non-MD. The steady long-run trends (life expectancy up, infant mortality down) swamp any minister-level signal — and MD ministers happen to bracket both the rough 1990s and the COVID shock.
Fragility of the negative measles association
Why we don't over-read the raw numbers. The apparent negative link between MD ministers and measles vaccination evaporates once a flexible time trend absorbs the era effect — a caution that applies to single-country results generally.

04How it was done

The data

  • Ministers: 32 spells, 28 people since 1989 — hand-coded medical background, party, tenure (Wikipedia, Parliament & Ministry sources). See the full table →
  • Outcomes: World Bank Open Data (spending, mortality, immunization) + Eurostat for preventive-care spending.
  • Controls: government orientation, austerity years, health crises, GDP per capita, time trend.

The method

  • MD-vs-non-MD year comparisons (with and without COVID).
  • Time-series regressions with autocorrelation-robust errors.
  • Selection & trend-fragility robustness checks.
  • Fully reproducible Python pipeline; every figure regenerates from raw public data.

05What this can — and can't — say

Selection is real. MD ministers ran 100% of Romania's health-crisis years (H1N1 2009, COVID 2020–21) versus 64% of normal years — clinical credibility gets summoned in emergencies, which also wreck the metrics.
One country can't identify the effect. The original study's credibility comes from comparing many countries while holding each year constant. A single country has no such leverage, so every number here is a description, not a causal estimate.
Thin data on the headline. Romania's preventive-spending series begins only in 2011 — 13 yearly points — too few for a reliable statistical test. The chart and the means carry the evidence; the regressions are context.

The faithful next step is the original study's own design: a Central/Eastern European + Romania panel with country and year fixed effects. This case study is the reusable scaffolding for that larger build.