IESET.
Hypotheses·distribution·cross_school_gini_growth_underconsumption_1990_2023

Higher inequality predicts slower GDP per-capita growth.

PARTIALengine/runs/cross_school_gini_growth_underconsumption_1990_2023

PARTIAL — coef=-0.0257, p=0.45 (above α=0.1); direction inconclusive

confidence cueThe result is useful, but not decisive. Treat it as a clue, not a settled conclusion.

policy briefMixed or noisy

In ordinary language

In plain terms, this asks whether inequality is actually linked to better or worse income pc growth from 1990 to 2023.

plain answer

The evidence is suggestive but not decisive. coef=-0.0257, p=0.45 (above α=0.1); direction inconclusive

why it matters

Distributional claims often sound morally clear but are empirically complex. This test asks whether the proposed channel explains real differences across places.

how the test works

It compares 171 country or place units from 1990 to 2023, using a panel fe design, with fixed effects for country and year.

what was measured
What changed
  • Inequality
What we checked
  • Income pc growth
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

No evidence packet has been generated yet.

Results

engine/runs/cross_school_gini_growth_underconsumption_1990_2023
1007550250199020072023AGOALBAREARGARMAUSAUT
illustrative sketch · run pending
No coefficients yet. When the model fires, this chart will show gdp_pc_growth across 171 sampled countries over 1990–2023.
The shapes above are stylised — none of the lines are real data.
Placeholder for cross_school_gini_growth_underconsumption_1990_2023. Published chart will be generated from engine/runs/cross_school_gini_growth_underconsumption_1990_2023/chart_data.json.

Pre-registration

pre-registered
first-spec commit 94bc3da · 2026-05-13T10:35:46Z
run generated · 2026-06-29T17:48:33Z

Higher inequality predicts slower GDP per-capita growth.

Falsification criterion — what would disprove this

set before the run · honoured after

This hypothesis is considered falsified if:

Supported if the coefficient on gini has sign - and p <= 0.10; refuted if significant in the opposite direction.

formal test & threshold
test:      cross_school_gini_growth_underconsumption_1990_2023
threshold: sign(gini)=- and p<=0.10

Method

Template
panel_fe
Fixed effects
country, year
Clustering
country
Sample
171 countries · 1990 – 2023
Evidence type
associational

Data

VariableSourceTransform
gdp_pc_growth
outcome
world_bank_wdi:NY.GDP.PCAP.KD.ZGtier 2
level
gini
treatment
world_bank_wdi:SI.POV.GINItier 2
level

● ready  · ● pending  · ● reconstruct-needed

Detailed result card

Result card — cross_school_gini_growth_underconsumption_1990_2023

Verdict: PARTIAL — coef=-0.0257, p=0.45 (above α=0.1); direction inconclusive

Pre-registration

  • Claim: Higher inequality predicts slower GDP per-capita growth.
  • Falsification rule: Supported if the coefficient on gini has sign - and p <= 0.10; refuted if significant in the opposite direction.
  • Falsification test: cross_school_gini_growth_underconsumption_1990_2023

Estimate

  • Method: linearmodels.PanelOLS
  • Coefficient (treatment): -0.0257
  • Std error: 0.03404
  • p-value: 0.45
  • Observations: 2205, countries: 171
  • Within R²: -0.00116
  • Fixed effects: entity=True, time=True
  • Clustering: country

Variables resolved

  • world_bank_wdi:NY.GDP.PCAP.KD.ZG → gdp_pc_growth (outcome, publisher=world_bank_wdi, n=13897)
  • world_bank_wdi:SI.POV.GINI → gini (treatment, publisher=world_bank_wdi, n=2430)

Generated by scripts/run_panel_fe.py at 2026-06-29T17:48:33+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

School coverage focus: marxian, social_democratic. Generated and run by scripts/promote_cross_school_next50_2026_05_12.py.

Authored framework. Read the transparency note.