Pre-registration
In BIS/WDI country panels, high household debt-service stress is followed by weaker private-consumption growth over the next two years.
Falsification criterion — what would disprove this
This hypothesis is considered falsified if:
High DSR is BIS household DSR >= 12 percent and >= country p75; outcome is the average WDI real private-consumption growth rate in years t+1 and t+2.
formal test & threshold
test: bis_household_dsr_consumption_slowdown_panel threshold: [object Object]
Method
- Template
panel_fe- Fixed effects
country, year- Clustering
country- Sample
- 17 countries · 1999 – 2022
- Evidence type
- associational
Generated Worker C first-tranche local-data panel verdict.
Data
| Variable | Source | Transform |
|---|---|---|
fwd_consumption_growth_2y_avg outcome | local pinned vintage panel | High DSR is BIS household DSR >= 12 percent and >= country p75; outcome is the average WDI real private-consumption growth rate in years t+1 and t+2. |
high_household_dsr treatment | local pinned vintage panel | as predeclared in threshold |
● ready · ● pending · ● reconstruct-needed
Detailed result card
Result card — bis_household_dsr_consumption_slowdown_panel
Verdict: INCONCLUSIVE_DATA_PENDING — no outcome variable loaded; missing: ['local pinned vintage panel']
Pre-registration
- Claim: In BIS/WDI country panels, high household debt-service stress is followed by weaker private-consumption growth over the next two years.
- Falsification rule: High DSR is BIS household DSR >= 12 percent and >= country p75; outcome is the average WDI real private-consumption growth rate in years t+1 and t+2.
- Falsification test: bis_household_dsr_consumption_slowdown_panel
Estimate
- Error: no outcome variable loaded; missing: ['local pinned vintage panel']
Variables resolved
Variables missing data
local pinned vintage panel(outcome, name=fwd_consumption_growth_2y_avg) — vintage not on disklocal pinned vintage panel(treatment, name=high_household_dsr) — vintage not on disk
Generated by scripts/run_panel_fe.py at 2026-06-29T17:54:09+00:00
Strongest opposing argument
Every hypothesis ships with its charitable opposing argument. The framework earns credibility by handling objections at their strongest, not weakest.
Notes
Runnable via engine/runs/bis_household_dsr_consumption_slowdown_panel/replication.py. Uses only pinned local BIS/OECD/WGI/WDI vintages.