Macro Paper Warehouse
Published Classic doi:10.3386/w25571

The Fiscal Multiplier

Marcus Hagedorn — University of Oslo

Iourii Manovskii — University of Pennsylvania and NBER

Kurt Mitman — Institute for International Economic Studies, Stockholm University

📄 Summarized from the full manuscript · Human-reviewed for faithfulness before publication

In brief

How much extra output does a dollar of government spending buy? In a model with realistic household inequality and sticky prices, this paper finds the answer depends heavily on financing: with the interest rate pegged, the multiplier is 1.34 if deficit-financed but only 0.61 if taxes rise at once. Once the central bank actively fights the resulting inflation, both fall and largely converge, to about 0.66 and 0.54. Specifying government debt in nominal terms is what makes the multiplier well defined at a pegged rate, as at the zero lower bound. Multipliers exceed those in simpler two-type models because households here also respond to anticipated future income.

What this paper finds — and why it matters

This paper builds a Heterogeneous Agent New Keynesian (HANK) model – combining the standard incomplete-markets model of consumption and saving with New Keynesian price and wage rigidities, capital accumulation, and a government budget constraint specified partly in nominal terms – to quantify the fiscal multiplier for essentially any combination of realistic monetary and fiscal policy. The nominal specification of government debt is deliberate: it lets the model exploit a result (Hagedorn 2016, 2018) guaranteeing a uniquely determined price level even when the nominal interest rate is pegged, avoiding the indeterminacy problem that afflicts representative-agent New Keynesian models at a fixed rate and allowing the authors to compute a well-defined multiplier at the zero lower bound. The authors find the multiplier is highly sensitive to financing: with a pegged nominal rate, it is 1.34 (cumulative 0.55) when spending is deficit-financed but only 0.61 (cumulative 0.43) when contemporaneously tax-financed, with broadly similar values obtained in a simulated liquidity trap; once monetary policy instead follows a Taylor rule, both multipliers fall and largely converge, to 0.66 and 0.54 respectively, because the larger inflationary impact of deficit-financed stimulus triggers a correspondingly larger monetary tightening that offsets much of its extra stimulative power. Decomposing household consumption responses into an intertemporal-substitution channel and a redistribution channel, the paper traces the multiplier’s size to the interaction of market incompleteness with dynamic, forward-looking behavior: unlike in tractable two-agent (TANK) models, in which hand-to-mouth households respond only to current income, households in this model also respond to anticipated future income changes induced by the stimulus, producing materially larger multipliers than TANK models calibrated to the same current-period marginal propensity to consume – a difference the authors attribute to “dynamic anticipation effects arising in the HANK model that are absent in TANK.”

Summary of a classic paper, AI-assisted and human-reviewed. See the linked original for the authoritative claims and full conditions.


Questions & answers

Q1. What two “essential elements” does the paper argue any credible fiscal-multiplier model must combine, and why do existing modeling traditions typically have only one?

The authors identify two necessary ingredients: “output is demand determined… so that a fiscal stimulus increases aggregate demand,” which requires nominal rigidities, and “a significant deviation from the permanent income hypothesis, such that households have a high marginal propensity to consume,” which requires incomplete markets (Introduction, p. 2). They argue the literature has typically had only one: flexible-price models (e.g. Baxter and King 1993) capture realistic MPC heterogeneity but shut off the demand channel, while representative-agent New Keynesian (RANK) models capture the demand channel but assume households “behave exactly like permanent-income ones and respond little to a temporary income shock,” contradicting “a large empirical literature that has documented substantial MPC heterogeneity and large consumption responses to transitory income and transfer payments” (p. 3).

Q2. Why does the paper specify government debt in nominal terms, and what technical problem does this solve?

By keeping the government budget constraint “at least partially” in nominal terms, the model can exploit “the result in Hagedorn (2016, 2018) that incomplete market models with (partially) nominal fiscal policy imply price level determinacy,” which “allows us to measure the size of fiscal multiplier for arbitrary combinations of monetary and fiscal policies of interest, including a constant nominal interest rate, without having to impose restrictions on policy rules to ensure determinacy” (Introduction, p. 3; Sec. 3.1, p. 16). The authors are explicit that this sidesteps “the indeterminacy issues with the representative-agent New Keynesian model at the ZLB raised by Cochrane (2017),” giving them “a uniquely determined fiscal multiplier at the ZLB, one of the cases where we are most interested in knowing its size” (Sec. 3.1, p. 16-17).

Q3. How does the model decompose the consumption response to fiscal stimulus, and why is each channel weaker under incomplete markets?

The paper distinguishes an intertemporal substitution channel – how the stimulus moves real interest rates and how strongly consumption responds to that – from a redistribution channel – how the stimulus’s effects on prices, income, and taxes redistribute resources across households with different MPCs (Sec. 3.1, p. 16). In incomplete markets, “the effect of the real interest rate on consumption is smaller since some households are credit constrained and thus not on their Euler equation, breaking the tight link between consumption and real interest rates. In addition, the change in real interest rates is smaller” than in complete markets (Sec. 3.1.1, p. 17-18) – so both components of the classical intertemporal-substitution mechanism are dampened, leaving more of the multiplier’s size to be explained by redistribution.

Q4. What is the headline quantitative result, and why does the financing scheme matter so much?

With a fixed nominal interest rate, the impact multiplier is 0.61 under tax financing (cumulative 0.43) versus 1.34 under deficit financing (cumulative 0.55) (Sec. 3.4, Table I). Under tax financing, “the contemporaneous cut in transfers lowers aggregate consumption by −0.031% on impact… since the government spending increases household’s income proportional to their productivity and thus benefits high income households more whereas the transfer cut is uniform across all income groups and thus negatively affects high MPC households” – a negative distributional channel (Sec. 3.4.1, p. 33). Under deficit financing, there is no offsetting contemporaneous tax increase, so “the fiscal expansion increases employment and thus labor income but… there is no offsetting effect through higher taxes,” which “benefits high MPC households, who primarily rely on labor income,” making the distributional channel positive instead (Sec. 3.4.2, p. 35).

Q5. Why does deficit financing crowd out investment even though it raises the multiplier on impact?

Under deficit financing, “total savings increase… by more than they would have increased if the real interest rate… were to remain constant,” but “capital still falls below its steady-state level since the increase in savings is smaller than the increase in additional government debt” – the government absorbs more new saving than households generate, crowding out capital (Sec. 3.4.2, p. 36). This is why the cumulative multiplier under deficit financing (0.55) is markedly below the impact multiplier (1.34): “the increase in government spending is ultimately financed through a future reduction in transfers, which results in a contraction in future output” (p. 35), so much of the initial boost is later reversed.

Q6. Why is the HANK multiplier so much larger than in a TANK model calibrated to the same marginal propensity to consume?

The paper attributes this to anticipation: “while the TANK and our HANK economies feature the same quarterly MPC, the large difference between them is due to dynamic anticipation effects arising in the HANK model that are absent in TANK. The hand-to-mouth agents in TANK respond only to the contemporaneous decrease in transfers, but not to the anticipated cut in future transfers… leading to a much smaller drop in private consumption demand” under tax financing (Sec. 3.4.1, p. 34). More generally, the Introduction states that “future income increases (as opposed to increases in current income) drive the contemporaneous consumption response, while only the latter effect is featured by the TANK model” (p. 4) – households in the full model save part of a stimulus-induced income gain today, which raises future demand and income and, through relaxed precautionary-saving motives, feeds back to raise current consumption further.

Q7. What happens to the multiplier once monetary policy follows a Taylor rule instead of pegging the nominal rate?

Under a Taylor rule, the deficit-financed impact multiplier falls from 1.34 to 0.66 (cumulative from 0.55 to 0.29), and the tax-financed multiplier falls more modestly from 0.61 to 0.54 (Sec. 3.5.1, p. 38). The mechanism is that “a higher nominal interest rate contracts consumption demand and thus reduces income, which in turn reduces savings and investment,” with “a 25 base point increase in the real rate… lead[ing] on impact to a 1% drop in output” (p. 38). Because deficit-financed spending is more inflationary to begin with, it triggers a larger monetary tightening, so “while the impact multipliers are very different between financing schemes with fixed nominal interest rates, they become quite similar when a Taylor rule is used” – deficit financing’s larger stimulus and larger induced tightening roughly offset each other (p. 38).

Q8. How does a transfer-financed stimulus (rather than government spending) compare, and why is its cumulative multiplier so much smaller than its impact multiplier?

A one percent deficit-financed increase in transfers produces an impact multiplier of 0.66 – larger than the corresponding tax-financed spending multiplier because “an increase in transfers benefits low income, high MPC households since their disposable income increases more… than that of high income, low MPC households” – but a cumulative multiplier of only about 0.1 (Sec. 3.5.2, p. 39-40). The gap arises “because the future decrease in transfers needed to return nominal government debt to its steady state level is sufficiently contractionary to almost offset the contemporaneous gains” (p. 40); the paper also reports the transfer stimulus slightly lowers welfare (−0.00067% in consumption equivalents), “because the welfare gain in the initial periods is eventually (slightly) outweighed by the later welfare losses” (p. 40).

Q9. Does pre-announcing future spending make fiscal stimulus more effective, as some complete-markets models suggest?

No – the paper explicitly contrasts its result with Farhi and Werning (2016), who “show that in complete markets New Keynesian models the further the spending is in the future the larger is the impact,” whereas “our analysis implies that the multiplier becomes smaller if the spending is pre-announced to occur at a future date” (Sec. 3.5.3, p. 44). With incomplete markets, anticipated future spending raises the price level gradually and “makes households shift consumption to these earlier periods, which dampens the fall in consumption initially but at the same time lowers their demand at the time of the actual spending increase,” so “the increase in consumption as well as the multiplier at that time are smaller than the corresponding multiplier in the case when the stimulus occurs immediately” (p. 44).

Q10. Do the results carry over to a liquidity-trap episode, and what other robustness checks does the paper run?

Simulating a large demand shock that pushes output down roughly 7% and binds the zero lower bound (following Cochrane 2017’s calibration), the paper finds “both the spending and the transfer multipliers in a liquidity trap are not very different from their counterparts in the benchmark experiments outside the liquidity trap” (Sec. 3.5.7, p. 47) – a notable contrast with some complete-markets ZLB models where multipliers become extreme. The paper also shows the multiplier declines with the scale of the stimulus (larger transfers/spending imply lower marginal propensities to consume, consistent with the model’s partial-equilibrium MPC schedule, Sec. 3.5.4), rises with the persistence of the spending increase (Sec. 3.5.5), and is sensitive to the degree of price and wage rigidity assumed (Sec. 3.5.8).

Q11. What does the paper conclude are the key structural ingredients responsible for its results?

The conclusion lists five interacting features as essential (Sec. 4, p. 50-51): (1) market incompleteness generates realistic, heterogeneous MPCs and breaks Ricardian equivalence, so financing has real distributional consequences and transfer multipliers become meaningful to analyze; (2) empirically realistic price rigidity ensures the model captures the aggregate-demand channel as observed in the data; (3) the fully dynamic (not one-shot) structure lets households’ current spending respond to anticipated future income and financing changes, which the paper shows is central to why HANK multipliers exceed TANK multipliers; (4) nominal government bonds deliver price-level determinacy, letting the model evaluate arbitrary monetary-fiscal policy combinations including an interest-rate peg; and (5) capital accumulation adds an investment channel that interacts with – and can be crowded out by – the consumption channel, particularly under deficit financing.

Key terms in this paper

Definitions below follow the paper's own usage.

HANK model with nominal government debt (price-level determinacy)
The paper's quantitative framework (Sec. 2): an extension of the standard Bewley-Imrohoroglu-Huggett-Aiyagari incomplete-markets model to include New Keynesian nominal price and wage rigidities, capital accumulation, and a government budget constraint specified partly in nominal terms. The nominal specification of government debt lets the model exploit Hagedorn (2016, 2018)'s result that incomplete-market models with partially nominal fiscal policy deliver a uniquely determined price level, avoiding the indeterminacy problem that representative-agent New Keynesian (RANK) models face at a pegged nominal interest rate (Cochrane 2017).
Intertemporal substitution vs. redistribution channels
The paper's formal decomposition (Sec. 3.1) of how fiscal stimulus affects private consumption in incomplete markets: the intertemporal substitution channel captures how the stimulus changes real interest rates and how responsive private consumption is to that change (weaker in incomplete markets since constrained households are off their Euler equation); the redistribution channel captures how the stimulus's effect on prices, income, and taxes redistributes resources across households with different marginal propensities to consume, which can raise or lower aggregate consumption depending on whether resources move toward or away from high-MPC households.
Financing-dependent multiplier (0.54-1.34 across scenarios)
The paper's central quantitative result (Sec. 3.4, Table I): with a pegged nominal interest rate, the impact fiscal multiplier is 0.61 when the stimulus is financed by contemporaneous tax/transfer adjustment (cumulative 0.43) versus 1.34 when deficit-financed (cumulative 0.55); with monetary policy following a Taylor rule instead, these fall to 0.54 (tax-financed) and 0.66 (deficit-financed, cumulative 0.29), because higher policy rates in response to the deficit-financed stimulus's larger inflationary impact largely offset its larger direct effect.
Anticipation/propagation effects (HANK vs. TANK)
The paper's explanation for why its HANK multiplier is much larger than in a Two-Agent New Keynesian (TANK) model calibrated to the same average quarterly MPC (Sec. 3.4.1): "hand-to-mouth agents in TANK respond only to the contemporaneous decrease in transfers, but not to the anticipated cut in future transfers," whereas households in the full HANK model respond to both current and expected future income changes. This dynamic, forward-looking response -- "future income increases... drive the contemporaneous consumption response" -- is present in HANK but structurally absent from TANK, producing a materially larger multiplier (e.g. 0.61 for HANK versus 1.05 for the as-if TANK economy under tax financing) even holding the current-period MPC fixed.
Monetary policy largely offsets deficit-financing''s extra stimulus
The paper's finding (Sec. 3.5.1) that combining fiscal stimulus with a Taylor rule sharply narrows the gap between deficit- and tax-financed multipliers (0.66 vs. 0.54, compared to 1.34 vs. 0.61 under a nominal-rate peg), because "a higher nominal interest rate contracts consumption demand and thus reduces income, which in turn reduces savings and investment" -- with deficit financing's larger inflationary impact triggering a correspondingly larger monetary tightening that "largely undoes the stimulus," while tax financing's milder inflationary impact leaves monetary policy "largely unchanged."
Forward spending is less effective under incomplete markets
The paper's finding (Sec. 3.5.3) that pre-announcing a spending increase for a future date produces a smaller multiplier than immediate spending, contrary to the "forward-spending" prescription of Farhi and Werning (2016) in a complete-markets setting. In the incomplete-markets model, anticipation of future spending raises the price level gradually and induces households to shift consumption earlier, which "dampens the fall in consumption initially but at the same time lowers their demand at the time of the actual spending increase," so the multiplier when spending finally arrives is smaller than if it had occurred immediately.
How this summary was made. Bibliographic fields are pulled from Crossref and OpenAlex and are not model-generated. The summary was drafted from the open-access manuscript , checked by a claim-grounding and calibration review pass, and approved before publishing. Found an error or a misrepresentation? Flag it here — corrections are welcome, especially from the authors.