Pre-registration
Japan's 1990-2003 banking-and-asset-bubble bust — Nikkei index decline of >= 60% peak-to-trough, real residential property price decline of >= 40%, persistent bank-NPL accumulation that required government recapitalisation in 1998 and 2003, and a "lost decade" of GDP growth averaging <= 1% — is a canonical case of a delayed-resolution banking crisis. The hypothesis is that Japan 1990-2003 meets the canonical multi-metric checklist on at least 4 of 5 metrics.
Falsification criterion — what would disprove this
This hypothesis is considered falsified if:
Evaluate every canonical_metrics row against its pre-registered source, window, and threshold. The hypothesis is SUPPORTED if at least 4 of 5 metrics are MET. It is REFUTED if even counting all pending metrics as favorable cannot reach 4 MET metrics and the confirmed failures cross the pre-registered refutation guardrail. Otherwise the verdict is INCONCLUSIVE until pending data or pending evaluation metrics are resolved.
formal test & threshold
test: multi_metric_checklist_canonical_banking_crisis threshold: MET >= 4 of 5; REFUTE when MET + PENDING_DATA + PENDING_EVAL < 4; refutation guardrail=1
Method
- Template
multi_metric_checklist- Clustering
none- Sample
- 1 countries · 1985 – 2005
- Evidence type
- canonical_case_multi_metric
Canonical-case checklist evaluator reads canonical_metrics and multi_metric_falsification; no regression model is estimated. Each metric is scored against its pre-registered source, window, and threshold before applying the count rule below.
Data
| Variable | Source | Transform |
|---|---|---|
real_gdp outcome | world_bank_wdi:NY.GDP.MKTP.KDtier 2 | average_yoy |
real_house_price_index outcome | bis:WS_SPPtier 2 | peak_to_trough |
● ready · ● pending · ● reconstruct-needed
Detailed result card
Result card — banking_crisis_japan_1990_lost_decade
Verdict: supported
Reason: 4 of 5 metrics met threshold (support threshold 4)
Pre-registered rule: SUPPORT if >= 4 of 5 metrics met; REFUTE if <= 1 met (impossible to hit support).
Counts: 4 MET · 0 NOT_MET · 1 PENDING_DATA · 0 PENDING_EVAL
Primary country: JPN
Metric-by-metric
| # | Metric | Status | Observed | Threshold | Notes |
|---|---|:---:|---:|---|---|
| 1 | equity_index_decline | MET | 72.7 (2003) [peak_to_trough_pct_decline] | >= 60% peak-to-trough decline (Dec-1989 to Apr-2003) | |
| 2 | real_house_price_decline | MET | 46 (2005) [peak_to_trough_pct_decline] | >= 40% decline | |
| 3 | real_gdp_growth_lost_decade | MET | 0.896 (2002) [average_annual_growth_rate_value] | <= 1% average annual growth | average annual growth 1992-2002 = 0.896; threshold <=1 |
| 4 | laeven_valencia_systemic_banking_crisis | MET | 1 (1997) [coded_yes_indicator_max] | coded yes in 1997-2001 (Laeven-Valencia codes Japan 1997-2001) | coded YES evaluated from binary event indicator |
| 5 | bank_npl_ratio_peak | PENDING_DATA | | >= 8% of gross loans | No JPN observations in window 1998-2003 |
Claim
Japan's 1990-2003 banking-and-asset-bubble bust — Nikkei index decline of >= 60% peak-to-trough, real residential property price decline of >= 40%, persistent bank-NPL accumulation that required government recapitalisation in 1998 and 2003, and a "lost decade" of GDP growth averaging <= 1% — is a canonical case of a delayed-resolution banking crisis. The hypothesis is that Japan 1990-2003 meets the canonical multi-metric checklist on at least 4 of 5 metrics.
Interpretation
The canonical-case pattern match is satisfied: 4 of 5 pre-registered metrics meet their thresholds, above the support threshold of 4. Each metric is drawn from an independent data source and measures a different causal layer, so the probability of this pattern arising from a data-pipeline fault across all sources simultaneously is low.
Steelman live concerns
See hypotheses/steelman/banking_crisis_japan_1990_lost_decade.md for the strongest opposing arguments. Canonical-case multi-metric evidence is a pattern match, not a causal identification — the result card should be read as 'outcome trajectory matches the predicted pattern to degree X' rather than 'policy P caused the outcome'.
Provenance
Vintages pinned in manifest.yaml. Full per-metric diagnostics in diagnostics.json. Machine-readable results in metric_results.parquet.
Strongest opposing argument
Every hypothesis ships with its charitable opposing argument. The framework earns credibility by handling objections at their strongest, not weakest.