5,000 Monte Carlo paths, 24 coupling rules fired, and a personal layer that turns a country statistic into a labour-market failure.
Portugal's housing crisis is no longer news. Lisbon rents have more than doubled since 2018. Teachers commute 90 minutes from towns they can afford to schools in the capital they cannot. Banco de Portugal now flags housing affordability as the country's most pressing macro risk.
So I ran Portugal through WorldSim to 2035. Average path, no extreme tilts, 5,000 Monte Carlo trajectories across 26 KPIs connected by 100+ structural coupling rules. 24 fired in this run, 12 positive and 12 negative.
That country-level snapshot looks fine on the headline indicators. Some growth, some demographic recovery, an energy transition on track. The pressure is hidden in the coupling rules.
Twelve negative rules attacked the growth side:
Twelve positive rules pulled the other way: the unemployment fall, the renewable rise, the fertility uptick, R&D climbing to 1.90% of GDP, net migration positive. The total cancels to a 5% decade GDP increase.
This is where the country-level picture stops working. WorldSim's Personal Mode takes the country baseline and projects a specific household.
The household: a Lisbon public-school teacher, no spouse income, paying market rent.
Annual rent exceeds annual salary. Not for a low-wage worker. For a teacher. That is the labour-market failure.
A country where GDP grows 5% over a decade, rents grow 37%, and the people teaching the next generation cannot afford to live in the capital where they teach.
At what point does that stop being a structural curiosity and start being a labour-market failure?
The complete piece walks through every coupling rule that fired, the inflation cone, the personal-layer mechanics, and the policy levers that would actually move the dial.
Read on Substack →Personal Mode takes the country baseline and projects a specific household: salary, rent, mortgage capacity, and inflation drag through the simulation horizon.
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