IESET.
Hypotheses·growth·cross_school_government_effectiveness_hightech_developmental_1996_2023

Government effectiveness predicts higher high-tech export intensity.

PARTIALengine/runs/cross_school_government_effectiveness_hightech_developmental_1996_2023

PARTIAL — coef=+0.8423, p=0.415 (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

Over a long period, do more market-oriented institutions translate into higher income or productivity, once the comparison looks beyond a single success story?

plain answer

The evidence is suggestive but not decisive. coef=+0.8423, p=0.415 (above α=0.1); direction inconclusive

why it matters

Growth claims can look convincing in single success stories. This test asks whether the pattern survives a broader comparison.

how the test works

It compares 182 country or place units from 1996 to 2023, using a panel fe design, with fixed effects for country and year.

what was measured
What changed
  • Wgi ge
What we checked
  • High tech exports
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_government_effectiveness_hightech_developmental_1996_2023
1007550250199620102023ABWAFGAGOALBANDAREARG
illustrative sketch · run pending
No coefficients yet. When the model fires, this chart will show high_tech_exports across 182 sampled countries over 1996–2023.
The shapes above are stylised — none of the lines are real data.
Placeholder for cross_school_government_effectiveness_hightech_developmental_1996_2023. Published chart will be generated from engine/runs/cross_school_government_effectiveness_hightech_developmental_1996_2023/chart_data.json.

Pre-registration

registration ordering unverified
first-spec commit 4c8ce8e · 2026-07-18T22:11:21Z
run generated · 2026-06-29T17:52:45Z
Run timestamp predates this path's first git-add commit (rebase, rename, or pre-git local run). Spec hash is still the path's first-add commit — not repository HEAD — but ordering is not a clean pre-registration proof.

Government effectiveness predicts higher high-tech export intensity.

Falsification criterion — what would disprove this

set before the run · honoured after

This hypothesis is considered falsified if:

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

formal test & threshold
test:      cross_school_government_effectiveness_hightech_developmental_1996_2023
threshold: sign(wgi_ge)=+ and p<=0.10

Method

Template
panel_fe
Fixed effects
country, year
Clustering
country
Sample
182 countries · 1996 – 2023
Evidence type
associational

Data

VariableSourceTransform
high_tech_exports
outcome
world_bank_wdi:TX.VAL.TECH.MF.ZStier 2
level
wgi_ge
treatment
wgi:GE.ESTtier 4
level
gdp_pc_growth
control
world_bank_wdi:NY.GDP.PCAP.KD.ZGtier 2
level

● ready  · ● pending  · ● reconstruct-needed

Detailed result card

Result card — cross_school_government_effectiveness_hightech_developmental_1996_2023

Verdict: PARTIAL — coef=+0.8423, p=0.415 (above α=0.1); direction inconclusive

Pre-registration

  • Claim: Government effectiveness predicts higher high-tech export intensity.
  • Falsification rule: Supported if the coefficient on wgi_ge has sign + and p <= 0.10; refuted if significant in the opposite direction.
  • Falsification test: cross_school_government_effectiveness_hightech_developmental_1996_2023

Estimate

  • Method: linearmodels.PanelOLS
  • Coefficient (treatment): +0.8423
  • Std error: 1.032
  • p-value: 0.415
  • Observations: 2509, countries: 182
  • Within R²: 0.00117
  • Fixed effects: entity=True, time=True
  • Clustering: country

Variables resolved

  • world_bank_wdi:TX.VAL.TECH.MF.ZS → high_tech_exports (outcome, publisher=world_bank_wdi, n=3283)
  • wgi:GE.EST → wgi_ge (treatment, publisher=wgi, n=5168)
  • world_bank_wdi:NY.GDP.PCAP.KD.ZG → gdp_pc_growth (controls, publisher=world_bank_wdi, n=13897)

Generated by scripts/run_panel_fe.py at 2026-06-29T17:52:45+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: developmentalism, ordoliberal, empirical_pragmatist. Generated and run by scripts/promote_cross_school_next50_2026_05_12.py.

Authored framework. Read the transparency note.