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
Englisch

Bibliographic citation
Series: Bonn Econ Discussion Papers ; No. 12/2010

Classification
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
fiscal policy anticipation
SVAR
consumption response
government spending
Finanzpolitik
Öffentliche Ausgaben
Gesamtwirtschaftlicher Konsum
Erwartungstheorie
Wirkungsanalyse
Schätzung
USA

Event
Geistige Schöpfung
(who)
Tenhofen, Jörn
Wolff, Guntram B.
Event
Veröffentlichung
(who)
University of Bonn, Bonn Graduate School of Economics (BGSE)
(where)
Bonn
(when)
2010

Handle
Last update
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

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