Arbeitspapier
Does anticipation of government spending matter? The role of (non-)defense spending
We investigate the effects of government expenditure on private consumption when the private sector anticipates the fiscal shocks. In order to capture anticipation of fiscal policy, we develop a new method based on a structural vector autoregression (SVAR). By simulating data from a theoretical model featuring (imperfect) fiscal foresight, we demonstrate the ability of our new approach to correctly capture macroeconomic dynamics. We take advantage of the flexibility of our econometric approach and study those subcomponents of total government spending, which have different macroeconomic effects according to economic theory. Using post-WWII US data, we find that when taking into account anticipation, private consumption significantly decreases in response to a defense expenditure shock, whereas when considering shocks to non-defense spending, consumption increases significantly. A standard SVAR does not produce clear consumption responses, highlighting the importance of anticipation. Our results thus reconcile the different findings of the narrative and SVAR approaches to the study of fiscal policy effects.
- Language
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Englisch
- Bibliographic citation
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Series: Bonn Econ Discussion Papers ; No. 12/2010
- Classification
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Wirtschaft
Multiple or Simultaneous Equation Models: Time-Series Models; Dynamic Quantile Regressions; Dynamic Treatment Effect Models; Diffusion Processes; State Space Models
Model Construction and Estimation
Fiscal Policy
Fiscal Policies and Behavior of Economic Agents: General
- Subject
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fiscal policy anticipation
SVAR
consumption response
government spending
Finanzpolitik
Öffentliche Ausgaben
Gesamtwirtschaftlicher Konsum
Erwartungstheorie
Wirkungsanalyse
Schätzung
USA
- Event
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Geistige Schöpfung
- (who)
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Tenhofen, Jörn
Wolff, Guntram B.
- Event
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Veröffentlichung
- (who)
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University of Bonn, Bonn Graduate School of Economics (BGSE)
- (where)
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Bonn
- (when)
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2010
- Handle
- Last update
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10.03.2025, 11:44 AM CET
Data provider
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Object type
- Arbeitspapier
Associated
- Tenhofen, Jörn
- Wolff, Guntram B.
- University of Bonn, Bonn Graduate School of Economics (BGSE)
Time of origin
- 2010