Pre-registration
US GDP per capita (PPP, constant $) exceeds the EU15 weighted average by approximately 50% as of 2023, with the gap widening from ~20% in 2000 after converging during 1980-1995. The divergence is primarily explained by policy-channel differences that are empirically separable from demographic, geographic, or capital-stock differences: (a) US product- market deregulation and competition-policy activism vs EU regulatory density (OECD PMR); (b) US labour-market flexibility vs EU employment protection (OECD EPL); (c) capital-market depth and venture-financing breadth; (d) energy-cost differential post-2011 driven by shale vs Energiewende/gas-import dependence; (e) tax structure favouring capital formation. The claim is that demographic + trade-openness + human-capital controls leave policy channels as the binding explanation.
Falsification criterion — what would disprove this
This hypothesis is considered falsified if:
Not supported if policy channels (PMR, EPL, economic-freedom, tax, institutional quality) jointly explain less than 50% of the US-EU15 GDP-per-capita gap after demographics + trade + human-capital controls, or if including IRL and LUX in the baseline reverses the sign on core policy coefficients (indicating the divergence is FDI-distortion-driven rather than policy-driven).
formal test & threshold
test: policy_channel_share_of_explained_variance threshold: policy channel share >= 0.50 of explained variance; sign-stable exclusion robustness
Method
- Template
panel_fe_decomposition- Fixed effects
country, year- Clustering
country- Sample
- 15 countries · 1970 – 2023
- Evidence type
- associational
Decomposition estimates each policy-channel contribution after controlling for demographics, trade openness, and human capital. Robustness: (a) excluding IRL and LUX; (b) alternate PMR vintages; (c) Fraser EFW vs Heritage IEF substitution for regulatory index.
Data
| Variable | Source | Transform |
|---|---|---|
gdp_per_capita_ppp_constant outcome | world_bank_wdi:NY.GDP.PCAP.PP.KDtier 2 | log |
gdp_per_capita_constant outcome | world_bank_wdi:NY.GDP.PCAP.KDtier 2 | log |
gdp_per_hour_worked_ppp outcome | oecd:OECD.SDD.NAD.PRODtier 2 | — |
product_market_regulation_aggregate channel | oecd_pmr:OECD.ECO.GCRDtier 4 | level |
employment_protection_legislation_overall channel | oecd:OECD.ELS.EMPtier 2 | level |
economic_freedom_index channel | fraser_efw:aggregate_scoretier 4 | — |
institutional_quality_government_effectiveness channel | wgi:GOV_WGI_GE.ESTtier 4 | level |
real_residential_property_prices channel | bis:WS_SPPtier 2 | — |
effective_corporate_tax_rate channel | oecd:OECD.CTPtier 2 | — |
population_total control | world_bank_wdi:SP.POP.TOTLtier 2 | — |
urban_population_share control | world_bank_wdi:SP.URB.TOTL.IN.ZStier 2 | — |
trade_openness_pct_gdp control | world_bank_wdi:NE.TRD.GNFS.ZStier 2 | — |
human_capital_tertiary_attainment control | world_bank_wdi:SE.TER.CUAT.BA.ZStier 2 | — |
● ready · ● pending · ● reconstruct-needed
Detailed result card
Result card — us_eu_gdp_per_capita_divergence_policy_causes
Verdict: PARTIAL — coef=+0.1801, p=0.565 (above α=0.1); direction inconclusive
Pre-registration
- Claim: US GDP per capita (PPP, constant $) exceeds the EU15 weighted average by approximately 50% as of 2023, with the gap widening from ~20% in 2000 after converging during 1980-1995. The divergence is primarily explained by policy-channel differences that are empirically separable from demographic, geographic, or capital-stock differences: (a) US product- market deregulation and competition-policy activism vs EU regulatory density (OECD PMR); (b) US labour-market flexibility vs EU employment protection (OECD EPL); (c) capital-market depth and venture-financing breadth; (d) energy-cost differential post-2011 driven by shale vs Energiewende/gas-import dependence; (e) tax structure favouring capital formation. The claim is that demographic + trade-openness + human-capital controls leave policy channels as the binding explanation.
- Falsification rule: Not supported if policy channels (PMR, EPL, economic-freedom, tax, institutional quality) jointly explain less than 50% of the US-EU15 GDP-per-capita gap after demographics + trade + human-capital controls, or if including IRL and LUX in the baseline reverses the sign on core policy coefficients (indicating the divergence is FDI-distortion-driven rather than policy-driven).
- Falsification test: policy_channel_share_of_explained_variance
Estimate
- Method: linearmodels.PanelOLS
- Coefficient (treatment): +0.1801
- Std error: 0.3
- p-value: 0.565
- Observations: 30, countries: 15
- Within R²: -1.7
- Fixed effects: entity=True, time=True
- Clustering: country
Variables resolved
wb:NY.GDP.PCAP.PP.KD→ gdp_per_capita_ppp_constant (outcome, publisher=world_bank_wdi, n=8325)wb:NY.GDP.PCAP.KD→ gdp_per_capita_constant (outcome, publisher=world_bank_wdi, n=12104)oecd_pmr:OECD.ECO.GCRD,DSD_PMR@DF_PMR,1.2→ product_market_regulation_aggregate (decomposition_channels, publisher=oecd_pmr, n=105)oecd:OECD.ELS.EMP,DSD_EPL_OV@DF_EPL_OV,1.0→ employment_protection_legislation_overall (decomposition_channels, publisher=oecd, n=1123)fraser_efw:aggregate_score→ economic_freedom_index (decomposition_channels, publisher=fraser_efw, n=4557)wgi:GOV_WGI_GE.EST→ institutional_quality_government_effectiveness (decomposition_channels, publisher=wgi, n=5168)bis:WS_SPP→ real_residential_property_prices (decomposition_channels, publisher=bis, n=2272)wb:SP.POP.TOTL→ population_total (controls, publisher=world_bank_wdi, n=14447)wb:SP.URB.TOTL.IN.ZS→ urban_population_share (controls, publisher=world_bank_wdi, n=16965)wb:NE.TRD.GNFS.ZS→ trade_openness_pct_gdp (controls, publisher=world_bank_wdi, n=10714)wb:SE.TER.CUAT.BA.ZS→ human_capital_tertiary_attainment (controls, publisher=world_bank_wdi, n=1403)
Variables missing data
oecd:OECD.SDD.NAD.PROD,DSD_PDB@DF_PDB_LV,1.0(outcome, name=gdp_per_hour_worked_ppp) — vintage not on diskoecd:OECD.CTP,DSD_CTS@DF_CTS_CIT,1.0(decomposition_channels, name=effective_corporate_tax_rate) — vintage not on disk
Generated by scripts/run_panel_fe.py at 2026-06-29T17:53:07+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
Candidate, not pre_registered. Promotion requires: (1) Fraser EFW fetcher (currently scrape_needed) (2) OECD Corporate Tax Statistics dataflow URN verified (3) OECD Productivity Database dataflow URN verified (4) Spec decision on whether GDP-per-hour-worked or GDP-per-capita is the canonical outcome (per-hour isolates productivity; per-capita includes participation, hours worked, and demographic effects).