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WU Research
Research . 2015
License: unspecified
Data sources: WU Research
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Economic Modelling
Article . 2017 . Peer-reviewed
License: Elsevier TDM
Data sources: Crossref
Economic Modelling
Article . 2017
License: unspecified
Data sources: WU Research
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The case for fiscal rules

Authors: Badinger, Harald; Reuter, Wolf Heinrich;

The case for fiscal rules

Abstract

This paper estimates the effects of fiscal institutions on fiscal policy outcomes, addressing issues related to measurement and endogeneity in a novel way. Recently developed indices, based on partially ordered set theory, are used to quantify the stringency of fiscal rules. Identification of their effects is achieved by exploiting the exogeneity of institutional variables (checks and balances, government fragmentation, inflation targeting), which are found to be relevant determinants of fiscal rules. Our two-stage least squares estimates for (up to) 79 countries over the period 1985-2012 provide strong evidence that countries with more stringent fiscal rules have higher fiscal balances (lower deficits), lower interest rate spreads on government bonds, and lower output volatility. (authors' abstract)

Country
Austria
Keywords

506004 Europäische Integration, 502025 Ökonometrie, 502018 Macroeconomics, 502047 Volkswirtschaftstheorie, 502018 Makroökonomie, Department of Economics Working Paper Series, JEL E62, H30, H60, 506004 European integration, 502025 Econometrics, 502047 Economic theory, Fiscal rules, fiscal balances, interest rates, volatility, 502003 Foreign trade, 502003 Außenhandel, Fiscal rules / fiscal balances / interest rates / volatility, jel: jel:E62, jel: jel:H30, jel: jel:H60

  • BIP!
    Impact byBIP!
    selected citations
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    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).
    84
    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 1%
    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.
    Top 10%
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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!
84
Top 1%
Top 10%
Top 10%
Green