Arbeitspapier
Fiscal consolidations and heterogeneous expectations
We analyze fiscal consolidations using a New Keynesian model where agents have heterogeneous expectations and are uncertain about the composition of consolidations. We look at spending-based and tax-based consolidations and analyze their effects separately. We find that the effects of consolidations and the output multipliers are sensitive to heterogeneity in expectations before and after implementation of a specific fiscal plan. Depending on the beliefs about the type of consolidation prior to implementation, we show that heterogeneity in expectations may lead to optimism in the economy, improving thus the performance of a specific fiscal plan, or can work towards the opposite direction leading to pessimism, amplifying the contractionary effects of the consolidation. In general, we find that spending-based consolidations last longer and lead to deeper recessions when agents are boundedly rational compared to the rational expectations benchmark, while the opposite holds for tax-based consolidations.
- ISBN
-
978-3-943153-53-8
- Sprache
-
Englisch
- Erschienen in
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Series: BERG Working Paper Series ; No. 132
- Klassifikation
-
Wirtschaft
National Budget, Deficit, and Debt: General
Search; Learning; Information and Knowledge; Communication; Belief; Unawareness
Business Fluctuations; Cycles
Fiscal Policy
Comparative or Joint Analysis of Fiscal and Monetary Policy; Stabilization; Treasury Policy
Fiscal Policies and Behavior of Economic Agents: General
- Thema
-
fiscal policy
uncertainty
heterogeneous expectations
bounded rationality
- Ereignis
-
Geistige Schöpfung
- (wer)
-
Hommes, Cars H.
Lustenhouwer, Joep
Mavromatis, Kostas
- Ereignis
-
Veröffentlichung
- (wer)
-
Bamberg University, Bamberg Economic Research Group (BERG)
- (wo)
-
Bamberg
- (wann)
-
2017
- Handle
- Letzte Aktualisierung
-
10.03.2025, 11:43 MEZ
Datenpartner
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Objekttyp
- Arbeitspapier
Beteiligte
- Hommes, Cars H.
- Lustenhouwer, Joep
- Mavromatis, Kostas
- Bamberg University, Bamberg Economic Research Group (BERG)
Entstanden
- 2017