Pre-registration
The UK furlough-era labour-market intervention coincided with a huge 2020 output collapse but contained unemployment and allowed output to return near its pre-pandemic level by late 2021.
Falsification criterion — what would disprove this
This hypothesis is considered falsified if:
SUPPORTED if at least 2 of 3 metrics pass: GDP falls by more than 15 percent into 2020Q2, unemployment remains below 6.5 percent through 2021Q4, and GDP is within 2 percent of 2019Q4 by 2021Q4. REFUTED if 1 or fewer pass.
formal test & threshold
test: uk_furlough_2020_output_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 – 2021
- Evidence type
- canonical_case_multi_metric
Compact national event-window replication from cached ONS/INE/BCRA vintages.
Data
| Variable | Source | Transform |
|---|---|---|
real_gdp_cvm outcome | ons:ABMItier 1 | quarterly level |
unemployment_rate outcome | ons:MGSXtier 1 | quarterly percent |
furlough_scheme treatment | constructed:Coronavirus Job Retention Scheme active from 2020-03tier 5 | event indicator |
● ready · ● pending · ● reconstruct-needed
Detailed result card
Result card - uk_furlough_2020_unemployment_output_shield
Verdict: SUPPORTED - 3/3 metrics passed (support >= 2; refute <= 1).
Claim
The UK furlough-era labour-market intervention coincided with a huge 2020 output collapse but contained unemployment and allowed output to return near its pre-pandemic level by late 2021.
Metrics
| Metric | Value | Threshold | Pass | Details | |---|---:|---|:---:|---| | output_collapse | 22.105 | >15% fall from 2019Q4 to 2020Q2 | yes | 670587 to 522356 | | unemployment_contained | 5.300 | peak 2020Q4-2021Q4 below 6.5% | yes | max 5.3% | | output_recovered_by_2021q4 | 0.759 | within 2% of 2019Q4 | yes | 670587 to 675680 |
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.