Artikel
Convergence in Government Spending Components in EU15: A Spatial Econometric Perspective
This paper contributes to the empirical literature on convergence by applying convergence model to components of government expenditures (by function) in EU15 during 1995-2010, using the data from United Nations Statistics Division. Moreover, we extend the traditional convergence model to allow for spatial correlation between countries in the sample, by estimating spatial autocorrelation (SAC) model for each component of government expenditures. This approach is important in that it provides more efficient coefficients, and offers policy-makers useful information regarding fiscal policies determinants that are attributable to other countries. We find that spatial aspects play an important role for Defence, Health and Education. More precisely, half-life convergence for Defence occurs in 6.37 years, for Health in 3.11 years and for Education in 5 years.
- Language
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Englisch
- Bibliographic citation
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Journal: Amfiteatru Economic Journal ; ISSN: 2247-9104 ; Volume: 18 ; Year: 2016 ; Issue: 42 ; Pages: 240-254 ; Bucharest: The Bucharest University of Economic Studies
- Classification
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Wirtschaft
Single Equation Models; Single Variables: Panel Data Models; Spatio-temporal Models
Empirical Studies of Economic Growth; Aggregate Productivity; Cross-Country Output Convergence
- Subject
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convergence
government expenditure by functions
spatial econometrics
- Event
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Geistige Schöpfung
- (who)
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Perović, Lena Maleševic
Golem, Silvia
Kosor, Maja Mihaljević
- Event
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Veröffentlichung
- (who)
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The Bucharest University of Economic Studies
- (where)
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Bucharest
- (when)
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2016
- Handle
- Last update
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10.03.2025, 11:41 AM CET
Data provider
ZBW - Deutsche Zentralbibliothek für Wirtschaftswissenschaften - Leibniz-Informationszentrum Wirtschaft. If you have any questions about the object, please contact the data provider.
Object type
- Artikel
Associated
- Perović, Lena Maleševic
- Golem, Silvia
- Kosor, Maja Mihaljević
- The Bucharest University of Economic Studies
Time of origin
- 2016