Arbeitspapier

Optimal Fiscal Policy

This paper derives and estimates rules for fiscal policy that prescribe the optimal response to changes in unemployment and debt. We combine the reduced-form model of the economy from a linear VAR with a non-linear welfare function and obtain analytic solutions for optimal policy. The variables in our reduced-form model - growth, unemployment, primary surplus - have a natural rate that cannot be affected by policy. Policy can only reduce fluctuations around these natural rates. Our welfare function contains future GDP and unemployment, the relative weights of which determine the optimal response. The optimal policy rule demands an immediate and large policy response that is procyclical to growth shocks and countercyclical to unemployment shocks. This result holds true when the weight of unemployment in the welfare function is reduced to zero. The rule currently followed by policy makers responds procyclically to both growth and unemployment shocks, and does so much slower than the optimal rule, leading to significant welfare losses.

Sprache
Englisch

Erschienen in
Series: CESifo Working Paper ; No. 4241

Klassifikation
Wirtschaft
Macroeconomic Policy, Macroeconomic Aspects of Public Finance, and General Outlook: General
National Budget, Deficit, and Debt: General
Thema
optimal control
optimal policy
fiscal policy rules
fiscal consolidation
debt sustainability

Ereignis
Geistige Schöpfung
(wer)
Lukkezen, Jasper
Teulings, Coenraad N.
Ereignis
Veröffentlichung
(wer)
Center for Economic Studies and ifo Institute (CESifo)
(wo)
Munich
(wann)
2013

Handle
Letzte Aktualisierung
10.03.2025, 11:43 MEZ

Datenpartner

Dieses Objekt wird bereitgestellt von:
ZBW - Deutsche Zentralbibliothek für Wirtschaftswissenschaften - Leibniz-Informationszentrum Wirtschaft. Bei Fragen zum Objekt wenden Sie sich bitte an den Datenpartner.

Objekttyp

  • Arbeitspapier

Beteiligte

  • Lukkezen, Jasper
  • Teulings, Coenraad N.
  • Center for Economic Studies and ifo Institute (CESifo)

Entstanden

  • 2013

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