Pre-registration
Countries that materially raise tax revenues as a share of GDP from 2000 to 2022 should usually also achieve large child-mortality reductions, consistent with state-capacity public-goods follow-through.
Falsification criterion — what would disprove this
This hypothesis is considered falsified if:
SUPPORTED if n>=30, at least 75% of tax-gain countries reduce child mortality by >=30%, and the median decline is >=45%. REFUTED if fewer than 50% pass or the median decline is <20%. Otherwise PARTIAL.
formal test & threshold
test: owid_tax_capacity_child_mortality_followthrough_2000_2022 threshold: n >= 30 AND pass_rate >= 0.75 AND median_child_mortality_decline_pct >= 45
Method
- Template
descriptive- Clustering
none- Sample
- 71 countries · 2000 – 2022
- Evidence type
- descriptive
Custom endpoint/mean panel replication using local WDI/OWID vintages and fixed country-selection thresholds.
Data
| Variable | Source | Transform |
|---|---|---|
child_mortality_decline outcome | owid:child-mortality-around-the-worldtier 2 | endpoint percent decline |
tax_revenue_gain treatment | owid:tax-revenues-as-a-share-of-gdptier 2 | country selected if endpoint gain >= 3pp of GDP |
● ready · ● pending · ● reconstruct-needed
Detailed result card
Result card - owid_tax_capacity_child_mortality_followthrough_2000_2022
Verdict: supported - 62 of 71 countries passed (87.3%); median child_mortality_decline_pct = 55.42
Predeclared Threshold
SUPPORTED if n>=30, at least 75% of tax-gain countries reduce child mortality by >=30%, and the median decline is >=45%. REFUTED if fewer than 50% pass or the median decline is <20%. Otherwise PARTIAL.
Threshold expression: n >= 30 AND pass_rate >= 0.75 AND median_child_mortality_decline_pct >= 45
Metrics
- n_countries: 71
- countries_passing: 62
- pass_rate: 0.8732394366197183
- median_child_mortality_decline_pct: 55.4229112737033
Country Panel
| country_iso3 | country_name | tax_revenue_gain_pp | child_mortality_decline_pct | pass | |---|---|---|---|---| | AFG | Afghanistan | 4.25 | 56.00 | yes | | AIA | Anguilla | 3.73 | 50.97 | yes | | ALB | Albania | 4.08 | 62.89 | yes | | ARG | Argentina | 10.33 | 50.58 | yes | | ARM | Armenia | 4.60 | 66.46 | yes | | ATG | Antigua and Barbuda | 7.01 | 35.83 | yes | | AZE | Azerbaijan | 3.99 | 75.58 | yes | | BFA | Burkina Faso | 9.07 | 55.42 | yes | | BHS | Bahamas | 5.75 | 21.56 | no | | BLZ | Belize | 7.19 | 56.06 | yes | | BRA | Brazil | 3.33 | 59.24 | yes | | BTN | Bhutan | 5.28 | 72.33 | yes | | CHL | Chile | 5.21 | 52.36 | yes | | COD | Democratic Republic of Congo | 10.90 | 52.30 | yes | | COG | Congo | 4.01 | 62.50 | yes | | COL | Colombia | 7.50 | 51.88 | yes | | CPV | Cape Verde | 5.43 | 64.99 | yes | | CRI | Costa Rica | 4.05 | 40.87 | yes | | DMA | Dominica | 3.41 | -81.43 | no | | ECU | Ecuador | 4.50 | 59.26 | yes | | ESP | Spain | 3.78 | 27.94 | no | | FSM | Micronesia (country) | 9.74 | 40.60 | yes | | GEO | Georgia | 4.60 | 73.82 | yes | | GHA | Ghana | 6.04 | 57.40 | yes | | GIN | Guinea | 4.00 | 42.64 | yes | | GNB | Guinea-Bissau | 3.12 | 58.43 | yes | | GRC | Greece | 7.79 | 18.06 | no | | HKG | Hong Kong | 5.52 | 54.27 | yes | | HND | Honduras | 5.11 | 57.10 | yes | | IND | India | 3.06 | 67.97 | yes | | JAM | Jamaica | 4.81 | 6.33 | no | | JPN | Japan | 9.42 | 48.96 | yes | | KGZ | Kyrgyzstan | 10.14 | 64.63 | yes | | KHM | Cambodia | 6.31 | 76.74 | yes | | KOR | South Korea | 9.57 | 61.55 | yes | | LIE | Liechtenstein | 5.27 | 44.73 | yes | | MDA | Moldova | 5.61 | 53.29 | yes | | MDV | Maldives | 9.68 | 85.49 | yes | | MEX | Mexico | 4.88 | 51.59 | yes | | MLT | Malta | 6.09 | -20.14 | no | | MMR | Myanmar | 3.47 | 54.15 | yes | | MNE | Montenegro | 8.82 | 66.30 | yes | | MNG | Mongolia | 9.98 | 78.34 | yes | | MOZ | Mozambique | 12.48 | 61.60 | yes | | MRT | Mauritania | 5.21 | 59.33 | yes | | MUS | Mauritius | 4.68 | 19.73 | no | | MWI | Malawi | 7.84 | 75.76 | yes | | NIC | Nicaragua | 13.43 | 60.56 | yes | | NPL | Nepal | 10.27 | 65.32 | yes | | PAK | Pakistan | 4.16 | 43.58 | yes | | PER | Peru | 3.74 | 60.12 | yes | | PRT | Portugal | 5.09 | 45.23 | yes | | RWA | Rwanda | 7.48 | 78.77 | yes | | SAU | Saudi Arabia | 5.54 | 71.05 | yes | | SEN | Senegal | 6.29 | 70.75 | yes | | SLB | Solomon Islands | 10.84 | 40.76 | yes | | SLV | El Salvador | 10.49 | 63.94 | yes | | SUR | Suriname | 3.44 | 46.68 | yes | | SWZ | Eswatini | 4.81 | 54.37 | yes | | TGO | Togo | 3.38 | 49.68 | yes | | TJK | Tajikistan | 6.89 | 63.03 | yes | | TON | Tonga | 7.48 | 33.48 | yes | | TUN | Tunisia | 11.45 | 61.06 | yes | | TZA | Tanzania | 5.06 | 68.23 | yes | | UGA | Uganda | 3.91 | 71.16 | yes | | UKR | Ukraine | 4.73 | 52.80 | yes | | URY | Uruguay | 5.81 | 53.80 | yes | | VCT | Saint Vincent and the Grenadines | 6.47 | 34.26 | yes | | VEN | Venezuela | 7.31 | 13.59 | no | | WSM | Samoa | 7.01 | 24.68 | no | | ZAF | South Africa | 4.92 | 41.14 | yes |
Interpretation
This is a descriptive structural-screen verdict using local WDI/OWID vintages. It grades the predeclared pattern, not a causal effect of a single policy lever.
Steelman
See hypotheses/steelman/owid_tax_capacity_child_mortality_followthrough_2000_2022.md.
Strongest opposing argument
Every hypothesis ships with its charitable opposing argument. The framework earns credibility by handling objections at their strongest, not weakest.