Pre-registration
Deeper private credit markets predict faster subsequent total-factor-productivity and real GDP per-capita growth.
Falsification criterion — what would disprove this
This hypothesis is considered falsified if:
SUPPORTED if private-credit depth is positive at p<0.10 for forward TFP growth and has the same sign for forward GDP-per-capita growth. REFUTED if the TFP coefficient is negative at p<0.10. Otherwise PARTIAL.
formal test & threshold
test: panel_fe_market_dynamism_private_credit_productivity_growth threshold: [object Object]
Method
- Template
panel_fe- Fixed effects
country, year- Clustering
country- Sample
- 40 countries · 1990 – 2019
- Evidence type
- associational
Private-credit depth is a proxy for decentralized capital allocation; the design does not separate healthy intermediation from credit booms.
Data
| Variable | Source | Transform |
|---|---|---|
tfp_growth_5yr_forward outcome | pwt:rtfpnatier 3 | cumulative_log_growth_5yr_forward |
real_gdp_pc_growth_5yr_forward outcome | world_bank_wdi:NY.GDP.PCAP.KDtier 2 | cumulative_log_growth_5yr_forward |
private_credit_depth treatment | world_bank_wdi:FS.AST.PRVT.GD.ZStier 2 | level_lagged_one_year |
log_gdp_pc control | world_bank_wdi:NY.GDP.PCAP.KDtier 2 | log |
investment_share control | world_bank_wdi:NE.GDI.TOTL.ZStier 2 | level |
government_consumption_share control | world_bank_wdi:NE.CON.GOVT.ZStier 2 | level |
● ready · ● pending · ● reconstruct-needed
Detailed result card
Result card — market_dynamism_private_credit_productivity_growth
Verdict: PARTIAL — coef=+0.0001764, p=0.592 (above α=0.1); direction inconclusive
Pre-registration
- Claim: Deeper private credit markets predict faster subsequent total-factor-productivity and real GDP per-capita growth.
- Falsification rule: SUPPORTED if private-credit depth is positive at p<0.10 for forward TFP growth and has the same sign for forward GDP-per-capita growth. REFUTED if the TFP coefficient is negative at p<0.10. Otherwise PARTIAL.
- Falsification test: panel_fe_market_dynamism_private_credit_productivity_growth
Estimate
- Method: linearmodels.PanelOLS
- Coefficient (treatment): +0.0001764
- Std error: 0.000329
- p-value: 0.592
- Observations: 691, countries: 29
- Within R²: 0.00225
- Fixed effects: entity=True, time=True
- Clustering: country
Variables resolved
pwt:rtfpna→ tfp_growth_5yr_forward (outcome, publisher=pwt, n=6407)world_bank_wdi:NY.GDP.PCAP.KD→ real_gdp_pc_growth_5yr_forward (outcome, publisher=world_bank_wdi, n=12104)world_bank_wdi:FS.AST.PRVT.GD.ZS→ private_credit_depth (treatment, publisher=world_bank_wdi, n=9562)world_bank_wdi:NY.GDP.PCAP.KD→ log_gdp_pc (controls, publisher=world_bank_wdi, n=12104)world_bank_wdi:NE.GDI.TOTL.ZS→ investment_share (controls, publisher=world_bank_wdi, n=10428)world_bank_wdi:NE.CON.GOVT.ZS→ government_consumption_share (controls, publisher=world_bank_wdi, n=9133)
Generated by scripts/run_panel_fe.py at 2026-06-29T17:52:55+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.