Artikel

Fiscal Policy Rules, Budget Deficits, and Forecasting Biases

In this paper, we analyze the impact fiscal policy rules have on budget deficits and forecasting biases in official budget outlooks. Persistent budget deficits and over-optimistic budget forecasts have been observed in many countries in the past, especially in the euro area. To prevent such developments from happening in the future, fiscal rules have been revised or implemented with the aim to strengthen both preventive (ex-ante) and corrective (ex-post) elements of fiscal rules frameworks. Do such ex-ante and ex-post rules differ in their effects? In an attempt to answer this question, we build a two-period model and distinguish between ex-ante rules that apply to budget forecasts and ex-post rules that apply to realized budget deficits. Our model indicates that effectively enforced ex-post rules are more effective than ex-ante rules at reducing budget deficits. Interestingly, ex-ante rules differ from ex-post rules in their effects on forecasting biases. Only ex-post sanctions reduce forecasting biases, while ex-ante rules have no impact on such biases. In addition, we show that political stability and the size of government increase the effectiveness of fiscal rules. If, however, financial markets have a disciplining effect on governments, the effectiveness of fiscal rules is reduced. Our results imply that if fiscal policy rules cannot be effectively enforced, reforming other areas such as electoral rules or financial market regulations might be a more promising approach to ensuring sound public finances than fiscal policy rules.

Language
Englisch

Bibliographic citation
Journal: Journal of Economic Policy Reform ; ISSN: 1748-7889 ; Volume: 19 ; Year: 2016 ; Issue: 2 ; Pages: 185-194 ; London: Taylor & Francis

Classification
Wirtschaft
Structure, Scope, and Performance of Government
Subject
Fiscal Policy Making
Fiscal Policy Rules
Forecasting Bias

Event
Geistige Schöpfung
(who)
Baldi, Guido
Event
Veröffentlichung
(who)
Taylor & Francis
ZBW – Leibniz Information Centre for Economics
(where)
London
(when)
2016

DOI
doi:10.1080/17487870.2015.1057509
Handle
Last update
10.03.2025, 11:44 AM CET

Data provider

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Object type

  • Artikel

Associated

  • Baldi, Guido
  • Taylor & Francis
  • ZBW – Leibniz Information Centre for Economics

Time of origin

  • 2016

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