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SSRN Electronic Journal
Article . 2011 . Peer-reviewed
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Endogenous Fiscal Consolidations

Authors: Pablo Hernández de Cos; Enrique Moral-Benito;

Endogenous Fiscal Consolidations

Abstract

There is evidence in the literature of fiscal consolidation episodes producing (non-Keynesian) expansionary effects (e.g. Alesina and Ardagna, 1998). We replicate this result for a panel of OECD countries under exogeneity of the fiscal tightening decision, and provide evidence that this decision is endogenous to GDP so that the exogeneity assumption might be inappropriate. Once this endogeneity is taken into consideration, we find that fiscal consolidations have a negative impact on GDP as expected in a Keynesian framework. We also investigate the determinants of successful consolidations. In particular, we use model averaging to overcome the problem of model uncertainty, and conclude that economic recovery and cuts in public wages are the most important ingredients of a consolidation program for successfully reducing budget deficits.

Keywords

Fiscal consolidation, panel data, endogeneity, model averaging, jel: jel:H62, jel: jel:C23, jel: jel:H30

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    influence
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selected citations
These citations are derived from selected sources.
This is an alternative to the "Influence" indicator, which also reflects the overall/total impact of an article in the research community at large, based on the underlying citation network (diachronically).
BIP!Citations provided by BIP!
popularity
This indicator reflects the "current" impact/attention (the "hype") of an article in the research community at large, based on the underlying citation network.
BIP!Popularity provided by BIP!
influence
This indicator reflects the overall/total impact of an article in the research community at large, based on the underlying citation network (diachronically).
BIP!Influence provided by BIP!
impulse
This indicator reflects the initial momentum of an article directly after its publication, based on the underlying citation network.
BIP!Impulse provided by BIP!
6
Top 10%
Top 10%
Average
bronze