fiscal_spending output turns negative from q3 while G is still elevated; impact multiplier 0.18 (rho=0.8) vs 0.075 (hosted default rho=0.9), no external gate
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Valutazione
- Difficoltà
- 4/5
- Tempo stimato
- 3-5 giorni
- Idoneità per principianti
- 42/100
- Tipo di issue
- Bug
- Chiarezza
- Abbastanza chiara
- Stato di attività
- Attiva
- Stack tecnologico
- python
- Ambito
- backend, testing-qa
Direzione di ricerca
Start with tests/test_shocks.py and the fiscal shock implementation called by hank_shock; inspect how the tests set persistence and which response paths the result exposes. Reproduce the reported quarter 0–8 responses at persistence 0.8 and 0.9, then compare them with a published tax-financed government spending impulse response or document the observed sign change and persistence dependence in regression coverage.
Scritto dal modello di indicizzazione a partire dal testo della issue.
Descrizione
What
The fiscal_spending output response turns negative from quarter 3, while G is still 51–73% of its impact level. The impact multiplier also halves between persistence 0.8 and 0.9. No external benchmark gates either result.
Calls (hosted MCP hank_shock, us-hank-model@19a8e5e, two_asset, 6 Nov 2026)
hank_shock(kind="fiscal_spending", size=0.01, persistence=ρ); Y, C, I in % deviation from steady state; G in % of SS GDP:
| ρ | q | G | Y | C | I | r (pp/q) |
|---|---|---|---|---|---|---|
| 0.8 | 0 | 1.00 | +0.175 | −0.536 | −2.55 | −0.211 |
| 0.8 | 3 | 0.51 | −0.018 | −0.403 | −1.54 | +0.110 |
| 0.9 | 0 | 1.00 | +0.075 | −0.692 | −2.63 | −0.154 |
| 0.9 | 3 | 0.73 | −0.013 | −0.611 | −2.01 | +0.081 |
| 0.9 | 7 | 0.48 | −0.029 | −0.459 | −1.23 | +0.063 |
ρ=0.8 reproduces the README's "~0.18" impact multiplier. The hosted default is ρ=0.9, which gives 0.075.
Why it needs checking
- A balanced-budget multiplier below 1 is expected here, because the labour tax finances G period by period (README). But a negative output response while spending is still elevated means crowding out (investment −2.6% on impact, real rate +0.3pp annualised from q1) more than offsets the spending. That is a strong claim, and
tests/test_shocks.pyonly bounds the impact multiplier in (0, 0.5). - Persistence is a free argument with default 0.9, so the hosted answer to "what is the multiplier" depends on a default no one chose for fiscal reasons.
- I have not sourced a published two-asset HANK G-shock IRF to compare against. ABRS 2021 is gated on steady-state targets and signs only. This is a request to find one, not a claim that the number is wrong.
Options
- Pin the full IRF (q0–q8) at ρ=0.8 and ρ=0.9 as a regression test, with the sign change documented.
- Find a published tax-financed G IRF for this calibration (ABRS replication files, or Auclert–Rognlie–Straub's intertemporal Keynesian cross work) and gate against it.
- Return
cumulative_multiplierand thetaxpath in the hosted result, so the crowding-out mechanism is visible.
Recommendation: 1 + 3 now; 2 before any multiplier is quoted on the site.
Related: the monetary response's inflation is −1.34pp annualised on impact for a 100bp-annualised rstar shock (ρ=0.9). That is 3–7× the BoE 1999 range and peaks on impact. It looks like model class (forward-looking NKPC), not a bug, and is recorded in the cross-model table on PolicyEngine/macro.
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