IESET.
Hypotheses·growth·spain_covid_2020_gdp_unemployment_shock

Spain's 2020 COVID lockdown generated a severe GDP shock and a meaningful unemployment rise, but the unemployment-rate increase was much smaller than the output collapse implied.

SUPPORTEDengine/runs/spain_covid_2020_gdp_unemployment_shock

SUPPORTED

confidence cueThis is a clear pass for the claim as written. It still applies only to this sample, period, and method.

policy briefNeeds review

In ordinary language

Over a long period, do more market-oriented institutions translate into higher income or productivity, once the comparison looks beyond a single success story?

plain answer

The data clearly moved in the predicted direction. SUPPORTED

why it matters

Growth claims can look convincing in single success stories. This test asks whether the pattern survives a broader comparison.

how the test works

It compares 1 country or place units from 2019 to 2020, using a multi metric checklist design.

what was measured
What changed
  • Covid lockdown
What we checked
  • Income volume index
  • Unemployment rate
what this does not prove

A single test is not the whole truth. It narrows the claim under a specific sample, time period, and method. Strong policy conclusions need the pattern to survive nearby tests, alternative data, and serious objections.

verification

No evidence packet has been generated yet.

Results

engine/runs/spain_covid_2020_gdp_unemployment_shock
1007550250201920202020ESP
illustrative sketch · run pending
No coefficients yet. When the model fires, this chart will show gdp_volume_index across 1 sampled countries over 2019–2020.
The shapes above are stylised — none of the lines are real data.
Placeholder for spain_covid_2020_gdp_unemployment_shock. Published chart will be generated from engine/runs/spain_covid_2020_gdp_unemployment_shock/chart_data.json.

Who has skin in the game — schools predicting on this

1 school list this hypothesis as a test of their position. The chips below are school-level scoreboard outcomes, not a second hypothesis verdict.

hypothesis verdict vs scoreboard outcome

The banner verdict judges this hypothesis as written. The scoreboard asks whether each school's polarity-corrected prediction was right. Raw status is not a school win: SUPPORTED supports schools that needed SUPPORTED, but refutes schools that needed REFUTED.

Structuralist / Developmentalistwins if SUPPORTEDschool supported

Pre-registration

pre-registered
first-spec commit 3fc4c7e · 2026-05-02T17:38:10Z

Spain's 2020 COVID lockdown generated a severe GDP shock and a meaningful unemployment rise, but the unemployment-rate increase was much smaller than the output collapse implied.

Falsification criterion — what would disprove this

set before the run · honoured after

This hypothesis is considered falsified if:

SUPPORTED if at least 2 of 3 metrics pass: GDP volume falls by more than 15 percent year on year in the lockdown observation, 2020Q4 unemployment is above 15 percent at the first cached post-lockdown endpoint, and 2020Q4 unemployment remains below 20 percent. REFUTED if 1 or fewer pass.

formal test & threshold
test:      spain_covid_2020_gdp_unemployment_three_metric_window
threshold: SUPPORTED if >= 2 metrics pass; REFUTED if <= 1 pass.

Method

Template
multi_metric_checklist
Clustering
none
Sample
1 countries · 2019 – 2020
Evidence type
canonical_case_multi_metric

Compact national event-window replication from cached ONS/INE/BCRA vintages.

Data

VariableSourceTransform
gdp_volume_index
outcome
ine:CNTR_PIBtier 2
quarterly volume index
unemployment_rate
outcome
ine:EPA_PAROtier 2
quarterly percent
covid_lockdown
treatment
constructed:2020 lockdown and ERTE policy windowtier 5
event indicator

● ready  · ● pending  · ● reconstruct-needed

Detailed result card

Result card - spain_covid_2020_gdp_unemployment_shock

Verdict: SUPPORTED - 3/3 metrics passed (support >= 2; refute <= 1).

Claim

Spain's 2020 COVID lockdown generated a severe GDP shock and a meaningful unemployment rise, but the unemployment-rate increase was much smaller than the output collapse implied.

Metrics

| Metric | Value | Threshold | Pass | Details | |---|---:|---|:---:|---| | gdp_lockdown_contraction | 21.949 | >15% yoy fall in 2020Q1 | yes | 112.2 to 87.6 | | unemployment_elevated | 15.980 | 2020Q4 unemployment >15% | yes | 15.98% | | employment_proxy_not_total_collapse | 15.980 | 2020Q4 unemployment <20% | yes | 15.98% |

Interpretation

This is a compact predeclared event-window verdict using local cached national-statistics vintages. It is strong for timing and magnitude, but not a full causal structural decomposition.

Provenance

See manifest.yaml for exact vintage files and SHA-256 hashes. Re-run with replication.py.

Strongest opposing argument

Every hypothesis ships with its charitable opposing argument. The framework earns credibility by handling objections at their strongest, not weakest.

Notes

Generated by scripts/generate_national_event_wave.py from local cached vintages; no network fetch required.

Authored framework. Read the transparency note.