Adjustment through revenue or spending? Fiscal adjustment scenarios based on estimated multiplier effects

Marina da Silva Sanches et al.

Estudos Economicos2026https://doi.org/10.1590/1980-53575612mhgarticle
ABDC C
Weight
0.50

What the paper says

Abstract This paper contributes to the literature on fiscal multipliers by estimating the effects of changes in revenue and in five groups of expenditures: public investment, social benefits, subsidies, personnel expenses, and other expenditures. We find that the strongest effects arise from shocks on public investments and social benefits, with both having a positive correlation with the sign of the shock. Increases in revenues, on the other hand, have statistically significant negative effects only in the short-run. The paper estimates the effects on GDP, primary balance, and public indebtedness of different fiscal consolidation scenarios. Results indicate that it is possible to combine reductions in the public indebtedness-to-GDP ratio with increases in GDP with a rebalancing of fiscal policy towards public investment and social spending and away from subsidies.

Open paper page →

Cite this paper

https://doi.org/https://doi.org/10.1590/1980-53575612mhg

Or copy a formatted citation

@article{marina2026,
  title        = {{Adjustment through revenue or spending? Fiscal adjustment scenarios based on estimated multiplier effects}},
  author       = {Marina da Silva Sanches et al.},
  journal      = {Estudos Economicos},
  year         = {2026},
  doi          = {https://doi.org/https://doi.org/10.1590/1980-53575612mhg},
}

Paste directly into BibTeX, Zotero, or your reference manager.

Flag this paper

Adjustment through revenue or spending? Fiscal adjustment scenarios based on estimated multiplier effects

Flags are reviewed by the Arbiter methodology team within 5 business days.


Evidence weight

0.50

Balanced mode · F 0.40 / M 0.15 / V 0.05 / R 0.40

F · citation impact0.50 × 0.4 = 0.20
M · momentum0.50 × 0.15 = 0.07
V · venue signal0.50 × 0.05 = 0.03
R · text relevance †0.50 × 0.4 = 0.20

† Text relevance is estimated at 0.50 on the detail page — for your query’s actual relevance score, open this paper from a search result.