Health staff cuts raise unemployment spending
When health care spending is cut, part of the saving comes from staff: some employees are dismissed or their fixed-term contracts are not renewed. They receive unemployment benefit until they find new work – most within a year – so the effect is largest in the first year and then fades. A change to medicines and equipment doesn't trigger it, as no own staff are involved. Extra spending works the other way, but probably less strongly, as new staff are often hired from other jobs.
Of every 100 euros that a change to “Health” saves or brings in, 2 € comes back as extra spending on the line “Social protection: unemployment” in the first year, getting 55% smaller every year after that. (The other way round if the change adds spending or cuts taxes.)
E(t) = s × T(t) × (1 − fading)ⁿSources: Statistics Finland: general government expenditure by function 2024 (table 12a6): compensation of employees is 44% of health spending (excl. medicines), 51% of education (excl. student aid) and 43% of elderly care; OECD (2016): Back to Work: Finland – nearly five in six displaced workers are re-employed within a year; those over 55 and the less educated more slowly (Ministry summary); Yle 23 Sep 2026: Pohjois-Savo wellbeing services county cuts 280 person-years – 50 dismissed, 14 fixed-term contracts not renewed, 88 retire (in Finnish); Yle 1 Sep 2026: at Pohjois-Pohjanmaa wellbeing services county 511 employment relationships end, 302 of them dismissals; saving €25.4m (in Finnish); Verho (2020), Economica: workers displaced in the 1990s recession were almost 50% more often unemployed five years later than a comparison group (VATT summary); Algan, Cahuc & Zylberberg (2002): public jobs crowd out private ones – in the long run a change in public employment hardly changes total employment; Faggio & Overman (2014): public sector jobs have no identifiable effect on total local private employment (England)
How the effect builds up over time
You can switch the effect on or off and adjust its assumptions in the simulator under Cause-and-effect chains.