IESET.
Hypotheses·healthcare·medical_migration_market_opportunity

Higher market-compatible income levels predict stronger medical-capacity retention and availability.

SUPPORTEDengine/runs/medical_migration_market_opportunity

SUPPORTED — coef=+7.824e-05 (sign matches claim +), p=1.97e-05

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

policy briefNeeds review

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 data clearly moved in the predicted direction. coef=+7.824e-05 (sign matches claim +), p=1.97e-05

why it matters

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

how the test works

It compares 40 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
  • Market or intervention proxy
What we checked
  • Qol or prosperity outcome
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/medical_migration_market_opportunity
1007550250199020072023USAGBRCANAUSNZLDEUFRA
illustrative sketch · run pending
No coefficients yet. When the model fires, this chart will show qol_or_prosperity_outcome across 40 sampled countries over 19902023.
The shapes above are stylised — none of the lines are real data.
Placeholder for medical_migration_market_opportunity. Published chart will be generated from engine/runs/medical_migration_market_opportunity/chart_data.json.

Who has skin in the game — schools predicting on this

2 schools 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 4467b9f · 2026-05-02T22:38:16Z
run generated · 2026-06-29T17:53:10Z

Higher market-compatible income levels predict stronger medical-capacity retention and availability.

Falsification criterion — what would disprove this

set before the run · honoured after

This hypothesis is considered falsified if:

SUPPORTED if the treatment coefficient has the pre-registered sign at p<0.10. REFUTED if the opposite sign is significant at p<0.10. Otherwise PARTIAL.

formal test & threshold
test:      panel_fe_medical_migration_market_opportunity
threshold: [object Object]

Method

Template
panel_fe
Fixed effects
country, year
Clustering
country
Sample
40 countries · 19902023
Evidence type
associational

Local-data first-pass TWFE screen; upgrade to exact treatment/outcome datasets before scoreboard promotion.

Data

VariableSourceTransform
qol_or_prosperity_outcome
outcome
world_bank_wdi:SH.MED.PHYS.ZStier 2
level_or_growth_proxy
market_or_intervention_proxy
treatment
world_bank_wdi:NY.GDP.PCAP.KDtier 2
level
log_gdp_pc
control
world_bank_wdi:NY.GDP.PCAP.KDtier 2
log
rule_of_law
control
wgi:RL.ESTtier 4
level

ready  ·  pending  ·  reconstruct-needed

Detailed result card

Result card — medical_migration_market_opportunity

Verdict: SUPPORTED — coef=+7.824e-05 (sign matches claim +), p=1.97e-05

Pre-registration

  • Claim: Higher market-compatible income levels predict stronger medical-capacity retention and availability.
  • Falsification rule: SUPPORTED if the treatment coefficient has the pre-registered sign at p<0.10. REFUTED if the opposite sign is significant at p<0.10. Otherwise PARTIAL.
  • Falsification test: panel_fe_medical_migration_market_opportunity

Estimate

  • Method: linearmodels.PanelOLS
  • Coefficient (treatment): +7.824e-05
  • Std error: 1.817e-05
  • p-value: 1.97e-05
  • Observations: 610, countries: 32
  • Within R²: 0.392
  • Fixed effects: entity=True, time=True
  • Clustering: country

Variables resolved

  • world_bank_wdi:SH.MED.PHYS.ZS → qol_or_prosperity_outcome (outcome, publisher=world_bank_wdi, n=4572)
  • world_bank_wdi:NY.GDP.PCAP.KD → market_or_intervention_proxy (treatment, publisher=world_bank_wdi, n=12104)
  • world_bank_wdi:NY.GDP.PCAP.KD → log_gdp_pc (controls, publisher=world_bank_wdi, n=12104)
  • wgi:RL.EST → rule_of_law (controls, publisher=wgi, n=5296)

Generated by scripts/run_panel_fe.py at 2026-06-29T17:53:10+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.

Authored framework. Read the transparency note.