Pre-registration
In a 1996-2023 country panel, stronger control of corruption predicts higher life expectancy after country and year fixed effects and basic macro controls.
Falsification criterion — what would disprove this
This hypothesis is considered falsified if:
SUPPORTED if the coefficient on control_corruption_wgi is positive at p<0.10 with at least 30 usable observations. REFUTED if it is negative at p<0.10. Otherwise PARTIAL.
formal test & threshold
test: panel_fe_heritage_government_integrity_life_expectancy_wgi_panel threshold: [object Object]
Method
- Template
panel_fe- Fixed effects
country, year- Clustering
country- Sample
- 53 countries · 1996 – 2023
- Evidence type
- associational
Two-way fixed effects with country-clustered standard errors; optional leave-one-region-out checks remain a later robustness extension.
Data
| Variable | Source | Transform |
|---|---|---|
life_expectancy outcome | world_bank_wdi:SP.DYN.LE00.INtier 2 | level |
control_corruption_wgi treatment | wgi:CC.ESTtier 4 | level |
log_gdp_pc_ppp control | world_bank_wdi:NY.GDP.PCAP.PP.KDtier 2 | log |
population_growth control | world_bank_wdi:SP.POP.GROWtier 2 | level |
trade_openness_control control | world_bank_wdi:NE.TRD.GNFS.ZStier 2 | level |
government_consumption_share control | world_bank_wdi:NE.CON.GOVT.ZStier 2 | level |
● ready · ● pending · ● reconstruct-needed
Detailed result card
Result card — heritage_government_integrity_life_expectancy_wgi_panel
Verdict: PARTIAL — coef=-0.03439, p=0.931 (above α=0.1); direction inconclusive
Pre-registration
- Claim: In a 1996-2023 country panel, stronger control of corruption predicts higher life expectancy after country and year fixed effects and basic macro controls.
- Falsification rule: SUPPORTED if the coefficient on control_corruption_wgi is positive at p<0.10 with at least 30 usable observations. REFUTED if it is negative at p<0.10. Otherwise PARTIAL.
- Falsification test: panel_fe_heritage_government_integrity_life_expectancy_wgi_panel
Estimate
- Method: linearmodels.PanelOLS
- Coefficient (treatment): -0.03439
- Std error: 0.3947
- p-value: 0.931
- Observations: 1098, countries: 44
- Within R²: 0.235
- Fixed effects: entity=True, time=True
- Clustering: country
Variables resolved
world_bank_wdi:SP.DYN.LE00.IN→ life_expectancy (outcome, publisher=world_bank_wdi, n=14443)wgi:CC.EST→ control_corruption_wgi (treatment, publisher=wgi, n=5201)world_bank_wdi:NY.GDP.PCAP.PP.KD→ log_gdp_pc_ppp (controls, publisher=world_bank_wdi, n=8325)world_bank_wdi:SP.POP.GROW→ population_growth (controls, publisher=world_bank_wdi, n=16672)world_bank_wdi:NE.TRD.GNFS.ZS→ trade_openness_control (controls, publisher=world_bank_wdi, n=10714)world_bank_wdi:NE.CON.GOVT.ZS→ government_consumption_share (controls, publisher=world_bank_wdi, n=9133)
Generated by scripts/run_panel_fe.py at 2026-06-29T17:53:09+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.