IESET.
Hypotheses·growth·politicised_credit_election_cycle_growth_drag

Politicised development-bank lending that increases around election cycles predicts weaker subsequent total-factor-productivity growth and higher non-performing loan ratios in a broad panel of emerging and developing economies during 1990-2020.

PARTIALengine/runs/politicised_credit_election_cycle_growth_drag

PARTIAL — shape=TWFE, coef=+3.326e+12, p=0.455 (above α=0.10)

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. shape=TWFE, coef=+3.326e+12, p=0.455 (above α=0.10)

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 90 country or place units from 1990 to 2020, using a event study design.

what was measured
What changed
  • Election cycle credit surge
  • Election year dummy
What we checked
  • Total factor productivity growth
  • Nonperforming loan ratio
  • Real income growth
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

3 input datasets, 4 unresolved missing series, provenance status: incomplete.

Results

engine/runs/politicised_credit_election_cycle_growth_drag
1007550250199020052020ARGBRACHLMEXURYCOLPER
illustrative sketch · run pending
No coefficients yet. When the model fires, this chart will show total_factor_productivity_growth across 90 sampled countries over 19902020.
The shapes above are stylised — none of the lines are real data.
Placeholder for politicised_credit_election_cycle_growth_drag. Published chart will be generated from engine/runs/politicised_credit_election_cycle_growth_drag/chart_data.json.

Pre-registration

pre-registered
first-spec commit 5ce4495 · 2026-05-02T19:11:20Z
run generated · 2026-05-02T19:20:21Z

Politicised development-bank lending that increases around election cycles predicts weaker subsequent total-factor-productivity growth and higher non-performing loan ratios in a broad panel of emerging and developing economies during 1990-2020.

Falsification criterion — what would disprove this

set before the run · honoured after

This hypothesis is considered falsified if:

Falsified if election-year development-bank lending surges do not show a statistically significant negative association with subsequent TFP growth and a positive association with NPL ratios after controlling for private credit growth and institutional quality.

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

Method

Template
event_study
Clustering
country
Sample
90 countries · 19902020
Evidence type
causal

Event-study around election years with development-bank lending surges. Panel FE with election-year interaction as robustness.

Data

VariableSourceTransform
total_factor_productivity_growth
outcome
pwt:rtfpnatier 3
annual_pct
nonperforming_loan_ratio
outcome
world_bank_wdi:GFDD.DM.04tier 2
level_pct
real_gdp_growth
outcome
world_bank_wdi:NY.GDP.MKTP.KD.ZGtier 2
annual_pct
election_cycle_credit_surge
treatment
constructed:dev_bank_lending_in_election_year_minus_off_yeartier 5
level_pct_gdp
election_year_dummy
treatment
constructed:binarytier 5
binary
private_credit_growth
control
world_bank_wdi:GFDD.DM.02tier 2
annual_pct
institutional_quality
control
wgi:RL.ESTtier 4
level
commodity_price_index
control
constructed:terms_of_trade_indextier 5
level

ready  ·  pending  ·  reconstruct-needed

Detailed result card

Result card — politicised_credit_election_cycle_growth_drag

Verdict: PARTIAL — shape=TWFE, coef=+3.326e+12, p=0.455 (above α=0.10)

Pre-registration

  • Claim: Politicised development-bank lending that increases around election cycles predicts weaker subsequent total-factor-productivity growth and higher non-performing loan ratios in a broad panel of emerging and developing economies during 1990-2020.
  • Falsification rule: Falsified if election-year development-bank lending surges do not show a statistically significant negative association with subsequent TFP growth and a positive association with NPL ratios after controlling for private credit growth and institutional quality.
  • Falsification test: event_study_election_credit_on_tfp_and_npls
  • Event year: (not extracted)

Estimate

  • coefficient: 3326068214352.472
  • std_error: 4454135868554.447
  • p_value: 0.45522230934702135
  • n_obs: 1344
  • n_countries: 64
  • r_squared_within: 0.6517467163383956
  • fe_entity: True
  • fe_time: True
  • cluster: country
  • method: event-study TWFE fallback (linearmodels failed: 'election_cycle_credit_surge')
  • shape: multi_country_twfe
  • dropped_controls_due_to_overlap: []

Variables resolved

  • pwt:rtfpna → total_factor_productivity_growth (outcome, publisher=pwt, n=6412)
  • world_bank_wdi:NY.GDP.MKTP.KD.ZG → real_gdp_growth (outcome, publisher=world_bank_wdi, n=13897)
  • constructed:dev_bank_lending_in_election_year_minus_off_year → election_cycle_credit_surge (treatment, publisher=constructed, n=2790)
  • wgi:RL.EST → institutional_quality (controls, publisher=wgi, n=5296)

Variables missing data

  • world_bank_wdi:GFDD.DM.04 (outcome, name=nonperforming_loan_ratio)
  • constructed:binary (treatment, name=election_year_dummy)
  • world_bank_wdi:GFDD.DM.02 (controls, name=private_credit_growth)
  • constructed:terms_of_trade_index (controls, name=commodity_price_index)

Generated by scripts/run_event_study.py at 2026-05-02T19:20:21+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

Development-bank lending data from national sources, OECD DBS, or World Bank FinDev gateway. Election dates from NELDA, V-Dem, or national electoral commissions.

Authored framework. Read the transparency note.