
handle: 10419/146080
In the existing literature, fiscal policy in times of budget crises is considered above all from an empirical point of view. Until now, no model explaining the processes and forces at work has been developed. This article closes this gap. The model presented is based on the theory of political business cycles and the market discipline hypothesis. Unemployment, the voters' preference for a sustainable deficit policy and the probability of a sovereign default are the determinants influencing the deficit. As a result the deficit falls high if fiscal policy is effective in reducing unemployment, if voter prefer deficits rather than balanced budgets, if financial markets do not react to lasting deficits and if the natural rate of unemployment is high.
Budget Consolidation, Market Discipline Hypothesis, ddc:330, Economic Voting, Debt Crisis, budget consolidation; debt crisis; political business cycles; market discipline hypothesis; economic voting, Political Business Cycles, H62, jel: jel:H62
Budget Consolidation, Market Discipline Hypothesis, ddc:330, Economic Voting, Debt Crisis, budget consolidation; debt crisis; political business cycles; market discipline hypothesis; economic voting, Political Business Cycles, H62, jel: jel:H62
| 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). | 0 | |
| 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. | Average | |
| influence This indicator reflects the overall/total impact of an article in the research community at large, based on the underlying citation network (diachronically). | Average | |
| impulse This indicator reflects the initial momentum of an article directly after its publication, based on the underlying citation network. | Average |
