IESET.
Hypotheses·institutional quality·botswana_institutional_exceptionalism

Botswana's divergence from Sub-Saharan African averages post-1966 is attributable primarily to retained pre-colonial Tswana chieftaincy institutions plus post-independence resource-rent management, rather than resource endowment alone.

SUPPORTEDengine/runs/botswana_institutional_exceptionalism

SUPPORTED — Botswana's synthetic-control mean post-1976 log-gap = +2.031 (~+662% level), clearing the +0.30 log threshold. Annual log-growth advantage +3.99pp/yr (≥ +2pp threshold). Pre-fit RMSE (log) = 0.355. V-Dem polyarchy gap (post-1976) = 0.3157645833333333; WGI gov-effectiveness gap (1996+) = 1.1414447947999988.

confidence cueThis is a clear pass for the claim as written. It still applies only to this sample, period, and method.

policy briefClear support

In ordinary language

In plain terms, this asks whether botswana independence indicator is actually linked to better or worse log real income per capita from 1966 to 2023.

plain answer

The data clearly moved in the predicted direction. Botswana's synthetic-control mean post-1976 log-gap = +2.031 (~+662% level), clearing the +0.30 log threshold.

why it matters

This matters because institutional quality claims should change belief only when they survive a pre-declared empirical test.

how the test works

It compares 11 country or place units from 1966 to 2023, using a synthetic control design, with fixed effects for country and year.

what was measured
What changed
  • Botswana independence indicator
  • Tswana chieftaincy institutions
What we checked
  • Log real income per capita
  • Institutional quality index
  • Governance indicator composite
what this does not prove

A single test is not the whole truth. It narrows the claim under a specific sample, time period, and method. Strong policy conclusions need the pattern to survive nearby tests, alternative data, and serious objections.

verification

3 input datasets, 0 unresolved missing series, provenance status: reproducible hash verified.

Results

engine/runs/botswana_institutional_exceptionalism
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Who has skin in the game — schools predicting on this

1 school list this hypothesis as a test of their position. The chips below are school-level scoreboard outcomes, not a second hypothesis verdict.

hypothesis verdict vs scoreboard outcome

The banner verdict judges this hypothesis as written. The scoreboard asks whether each school's polarity-corrected prediction was right. Raw status is not a school win: SUPPORTED supports schools that needed SUPPORTED, but refutes schools that needed REFUTED.

Pre-registration

pre-registered
first-spec commit bae09ab · 2026-04-29T22:09:42Z

Botswana's divergence from Sub-Saharan African averages post-1966 is attributable primarily to retained pre-colonial Tswana chieftaincy institutions plus post-independence resource-rent management, rather than resource endowment alone.

Falsification criterion — what would disprove this

set before the run · honoured after

This hypothesis is considered falsified if:

PRIMARY (dispositive): SUPPORTED if (a) Botswana's synthetic-control mean post-1976 log-gap on real GDP per capita is ≥ +0.30 log-points (~+35% level outperformance) AND (b) the annual log-growth advantage over the donor-pool mean over 1966-2023 is ≥ +2.0 pp/yr. REFUTED if the post log-gap is ≤ +0.10 OR the growth advantage is ≤ +0.5 pp/yr. INFORMATIVE (not gating): placebo permutation p-value, V-Dem polyarchy gap, WGI government-effectiveness gap. Reported in diagnostics. METHOD_VALID: Maddison gdppc available for BWA + ≥4 SSA donors over the full 1966-2023 window; pre-fit RMSE on log-GDP not pathological (<1.0).

formal test & threshold
test:      synthetic_control_bwa_vs_ssa_resource_exporters_1966_2023
threshold: PRIMARY: SC_post_log_gap >= 0.30 AND growth_gap_pp_per_yr >= 2.0 INFORMATIVE: placebo p, V-Dem polyarchy gap, WGI gov-effectiveness gap

Method

Template
synthetic_control
Fixed effects
country, year
Clustering
country
Sample
11 countries · 19662023
Evidence type
associational

Synthetic-control with BWA as treated unit and SSA resource-exporter donor pool. Pre-treatment fit window 1966-1975 (early independence pre-diamond-boom); post-treatment 1976-2023. Primary outcome = log real GDP per capita (Maddison). Placebo permutation across donor pool. Secondary spec interacts treatment with institutional-quality (V-Dem) and resource-rent (mineral rents % GDP) covariates to decompose divergence into institutional vs resource channels. Caveat: BWA is sole treated unit; small-population and commodity-price-luck channels are flagged caveats not formally identified.

Data

VariableSourceTransform
log_real_gdp_per_capita
outcome
maddison:rgdpnapctier 3
log
institutional_quality_index
outcome
vdem:v2x_polyarchytier 4
level
governance_indicator_composite
outcome
wgi:GovernmentEffectivenesstier 4
level
botswana_independence_indicator
treatment
constructed:indicator = 1 for BWA from 1966 (independence); 0 for SSA donor pool.tier 5
indicator
tswana_chieftaincy_institutions
treatment
polity5:durabletier 4
level
log_population
control
world_bank_wdi:SP.POP.TOTLtier 2
log
diamond_export_share_gdp
control
world_bank_wdi:NY.GDP.MINR.RT.ZStier 2
level

ready  ·  pending  ·  reconstruct-needed

Detailed result card

Result card — Botswana institutional exceptionalism, 1966-2023

Verdict: SUPPORTED — Botswana's synthetic-control mean post-1976 log-gap = +2.031 (~+662% level), clearing the +0.30 log threshold. Annual log-growth advantage +3.99pp/yr (≥ +2pp threshold). Pre-fit RMSE (log) = 0.355. V-Dem polyarchy gap (post-1976) = 0.3157645833333333; WGI gov-effectiveness gap (1996+) = 1.1414447947999988.

Pre-registration

  • Claim: Botswana's divergence from SSA averages post-1966 is attributable primarily to retained pre-colonial Tswana institutions plus post-independence resource-rent management.
  • Falsification (PRIMARY 1): SC mean post-1976 log-gap ≥ +0.30 (~+35% level).
  • Falsification (PRIMARY 2): BWA − donor mean annual log-growth ≥ +2.0pp/yr.
  • Informative (METHOD_VALID-style): V-Dem polyarchy and WGI government effectiveness gaps; pre-fit RMSE; placebo permutation rank.

Synthetic control

  • Donor pool (post-fit-coverage filter): ['ZMB', 'ZWE', 'NGA', 'AGO', 'COD', 'GAB', 'GHA', 'CIV', 'NAM', 'ZAF']
  • Pre-fit window: 1966-1975; treatment year: 1976
  • Pre-fit RMSE (log): 0.35478974303094146
  • Donor weights (>0.5%): COD=0.85, NGA=0.15
  • Post-treatment mean log-gap: 2.031377907067469
  • Post-treatment mean level gap: 662.4585093665457%
  • 2023 terminal log-gap: None

Growth gap

  • BWA mean annual log-growth 1977-2023: 0.05176978064670174
  • Donor pool mean annual log-growth 1977-2023: 0.011881411061973221
  • Gap (BWA − donor mean): 3.9888369584728522 pp/yr (threshold ≥ +2.0)

Placebo permutation

  • BWA rank among donor pool (largest positive post-treat gap): (0, 11)
  • One-sided permutation p-value: 0.09090909090909091

Informative covariate gaps (post-treatment)

  • V-Dem polyarchy: BWA=0.6725, donor mean=0.3567354166666667, gap=0.3157645833333333
  • WGI gov-effectiveness (1996+): BWA=0.46241573599999997, donor mean=-0.6790290587999989, gap=1.1414447947999988

Method note (downgrade from spec)

Spec called for synthetic_control with diamond-rent and V-Dem covariates as decomposition channels. Implemented classic Abadie-Diamond-Hainmueller synthetic control on log GDP-pc level matched in the pre-1976 window. Diamond-rent channel (WDI mineral rents, NY.GDP.MINR.RT.ZS) is NOT on disk; reported as a data gap rather than estimated. Channel decomposition is left as a v2 question — for now V-Dem and WGI gaps are reported descriptively to colour but not gate the verdict.

Data

  • maddison:mpd2020 (primary outcome, log real GDP per capita)
  • vdem:vdem_cy_full (v2x_polyarchy — informative)
  • wgi:GOV_WGI_GE.EST (informative, 1996+)

Reproduces from vintages in manifest.yaml. See replication.py.

Notes

Stub seeded from an institutionalist school prediction about Botswana's post-1966 divergence being driven by retained Tswana chieftaincy institutions plus resource-rent management. Decomposing institutions vs resource-endowment effects is delicate; needs human review of identification.

Authored framework. Read the transparency note.