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Journal of the European Economic Association
Article . 2008 . Peer-reviewed
License: Wiley TDM
Data sources: Crossref
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Twin Deficits, Openness, and the Business Cycle

Authors: Corsetti, Giancarlo; Müller, Gernot;

Twin Deficits, Openness, and the Business Cycle

Abstract

In this paper, we study the co-movement of the government budget balance and the trade balance at business cycle frequencies. In a sample of 10 OECD countries we find that the correlation of the two time series is negative, but less so in more open economies. Moreover, for the US the cross-correlation function is S-shaped. We show that a standard business cycle model featuring government spending and technology shocks is able to replicate these empirical regularities. The model predicts that, conditional on spending shocks, the correlation of the budget balance and the trade balance is close to perfect, consistent with the twin deficit hypothesis. Despite this high correlation, however, the economic effect of spending shocks on the trade balance is contained if the economies are not very open to trade.

Country
Italy
Keywords

Twin deficits, Openness, Business Cycle; Fiscal Policy; Openness; Twin Deficits, Business cycles, F41, Fiscal policy, F42, E32, jel: jel:E32, jel: jel:F42, jel: jel:F41

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    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.
    Top 10%
    influence
    This indicator reflects the overall/total impact of an article in the research community at large, based on the underlying citation network (diachronically).
    Top 10%
    impulse
    This indicator reflects the initial momentum of an article directly after its publication, based on the underlying citation network.
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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!
29
Top 10%
Top 10%
Top 10%
Green
bronze