Pre-registration
El Salvador's homicide rate fell from 52 per 100,000 (2019) to 2.4 per 100,000 (2023) — a 95% reduction — under Bukele's Estado de Excepción security crackdown beginning March 2022. This security improvement is associated with measurable GDP and FDI gains: El Salvador grew approximately 3.5% real in 2022 and 4.0% in 2023 per IMF NGDP_RPCH, outperforming Honduras and Guatemala — the structural comparators — for the first time since 2010. The pre-registered causal claim is that crime reduction via security crackdown (regardless of rule-of-law costs) produced positive economic returns through three channels: tourism recovery, FDI attraction in light manufacturing, and domestic consumer confidence, detectable as a positive cumulative average treatment effect on the treated (CATT) in a synthetic-control design with HND, GTM, NIC, and DOM as donor countries. The rule-of-law deterioration — mass imprisonment of approximately 75,000 persons, habeas corpus suspension, credible reports of wrongful detention — is a confounding factor coded as a separate variable and is not subsumed into the economic growth claim. The hypothesis tests only the economic-returns mechanism of crime reduction, not the normative legitimacy of the enforcement method.
Falsification criterion — what would disprove this
This hypothesis is considered falsified if:
The hypothesis is falsified if the synthetic-control CATT on real GDP growth for SLV over 2022-2024 is not statistically positive at p_perm < 0.10 relative to the donor pool counterfactual, OR if the CATT on log GDP per capita is not positive and economically meaningful (> 2% cumulative above synthetic control), OR if FDI inflows show no differential increase for SLV post-2022 relative to donor countries.
formal test & threshold
test: synthetic_control_gdp_growth_plus_fdi_mechanism threshold: CATT_2022_2024(real_gdp_growth) > 0 at p_perm < 0.10 AND CATT_2022_2024(log_gdp_per_capita) > 0.02 cumulative AND FDI_inflows_SLV_2022_2024 > FDI_synthetic_control_2022_2024
Method
- Template
synthetic_control- Sample
- 5 countries · 2010 – 2024
- Evidence type
- causal
Primary: synthetic control (Abadie 2010) with SLV as treated unit, treatment date 2022-03-27, donor pool HND/GTM/DOM weighted on 2010-2021 GDP growth, GDP per capita, remittance share, and FDI pre-trends. CATT evaluated on real GDP growth and log GDP per capita 2022-2024. Secondary: Callaway-Sant'Anna DiD using annual panel. Mechanism test: two-stage regression of homicide_rate on estado_de_excepcion_active (first stage), then GDP outcomes on fitted homicide reduction (second stage), to estimate the economic return per unit of crime reduction. Confound separation: rule_of_law and freedom_house_score entered as controls to test whether GDP gains survive institutional-quality deterioration controls.
Data
| Variable | Source | Transform |
|---|---|---|
gdp_growth_real outcome | imf:NGDP_RPCHtier 2 world_bank_wdi:NY.GDP.MKTP.KDtier 2 | pct_change |
gdp_per_capita_ppp outcome | world_bank_wdi:NY.GDP.PCAP.PP.KDtier 2 | log_level |
fdi_inflows_pct_gdp outcome | world_bank_wdi:BX.KLT.DINV.WD.GD.ZStier 2 | level |
tourism_arrivals outcome | world_bank_wdi:ST.INT.ARVLtier 2 | log_level |
estado_de_excepcion_active treatment | constructed:binary = 1 for SLV from 2022-03-27 onward; 0 for all donor countriestier 5 | binary |
homicide_rate_per_100k treatment | unodc:intentional_homicidetier 2 constructed:slv_pnc_officialtier 5 | level |
us_remittance_conditions control | fred:LNS12000009tier 1 | log_level |
current_account_pct_gdp control | imf:BCA_NGDPDtier 2 | level |
rule_of_law control | wgi:GOV_WGI_RL.ESTtier 4 | level |
freedom_house_score control | freedom_house:fiw_all_countriestier 4 | level |
military_spending_pct_gdp control | sipri:milex_share_gdptier 3 | level |
population_total control | world_bank_wdi:SP.POP.TOTLtier 2 | log_level |
● ready · ● pending · ● reconstruct-needed
Detailed result card
Result card — el_salvador_bukele_gdp_crime_tradeoff_2019_2024
Verdict: PARTIAL — mean_gap=-0.5576, |gap|/pre_sd=0.96, p_perm=1 (gap below 0.5×pre_sd or placebo p≥0.10)
Pre-registration
- Claim: El Salvador's homicide rate fell from 52 per 100,000 (2019) to 2.4 per 100,000 (2023) — a 95% reduction — under Bukele's Estado de Excepción security crackdown beginning March 2022. This security improvement is associated with measurable GDP and FDI gains: El Salvador grew approximately 3.5% real in 2022 and 4.0% in 2023 per IMF NGDP_RPCH, outperforming Honduras and Guatemala — the structural comparators — for the first time since 2010. The pre-registered causal claim is that crime reduction via security crackdown (regardless of rule-of-law costs) produced positive economic returns through three channels: tourism recovery, FDI attraction in light manufacturing, and domestic consumer confidence, detectable as a positive cumulative average treatment effect on the treated (CATT) in a synthetic-control design with HND, GTM, NIC, and DOM as donor countries. The rule-of-law deterioration — mass imprisonment of approximately 75,000 persons, habeas corpus suspension, credible reports of wrongful detention — is a confounding factor coded as a separate variable and is not subsumed into the economic growth claim. The hypothesis tests only the economic-returns mechanism of crime reduction, not the normative legitimacy of the enforcement method.
- Falsification rule: The hypothesis is falsified if the synthetic-control CATT on real GDP growth for SLV over 2022-2024 is not statistically positive at p_perm < 0.10 relative to the donor pool counterfactual, OR if the CATT on log GDP per capita is not positive and economically meaningful (> 2% cumulative above synthetic control), OR if FDI inflows show no differential increase for SLV post-2022 relative to donor countries.
Synthetic-control estimate
- shape: synth_did
- treated_country: SLV
- event_year: 2019
- n_donors: 4
- donor_weights (top): {'HND': 0.6019, 'GTM': 0.3358, 'NIC': 0.0622, 'DOM': 0.0}
- pre_rmse: 1.3269911862194523
- pre_period_sd: 0.5830951894845299
- mean_post_gap: -0.5576303475168742
- end_period_gap: -1.0335829136624404
- post_period_years: [2019, 2024]
- placebo_p_value: 1.0
- n_placebos: 0
- method: synthetic-control via NNLS, permutation inference
Variables resolved
imf:NGDP_RPCH; world_bank_wdi:NY.GDP.MKTP.KD→ gdp_growth_real (outcome, n=10914)world_bank_wdi:NY.GDP.PCAP.PP.KD→ gdp_per_capita_ppp (outcome, n=8360)world_bank_wdi:BX.KLT.DINV.WD.GD.ZS→ fdi_inflows_pct_gdp (outcome, n=11635)world_bank_wdi:ST.INT.ARVL→ tourism_arrivals (outcome, n=5731)fred:LNS12000009→ us_remittance_conditions (controls, n=54)imf:BCA_NGDPD→ current_account_pct_gdp (controls, n=10556)sipri:milex_share_gdp→ military_spending_pct_gdp (controls, n=8085)world_bank_wdi:SP.POP.TOTL→ population_total (controls, n=17000)
Generated by scripts/run_synth_did.py at 2026-04-28T12:41:54+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.