Fiscal Sustainability: Another Look at the European case
AbstractRecent research using time series cointegration techniques has suggested that fi scal policy in the EU-15 countries may have been on unsustainable path during 1970-2003. However, the time series techniques employed are know to have low power in small samples. The results from employing panel cointegration techniques that have higher power in small samples indicate that government revenue and expenditure in these countries were non-stationary and cointegrated series, and that the long-run cointegrating relation was consistent with ‘strong’ fi scal sustainability.
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Bibliographic InfoArticle provided by Camera di Commercio di Genova in its journal Economia Internazionale / International Economics.
Volume (Year): 62 (2009)
Issue (Month): 1 ()
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European Union; Fiscal Policy Sustainability; Panel Cointegration;
Find related papers by JEL classification:
- H62 - Public Economics - - National Budget, Deficit, and Debt - - - Deficit; Surplus
- H63 - Public Economics - - National Budget, Deficit, and Debt - - - Debt; Debt Management; Sovereign Debt
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- Cipollini, Andrea, 2001. "Testing for Government Intertemporal Solvency: A Smooth Transition Error Correction Model Approach," Manchester School, University of Manchester, vol. 69(6), pages 643-55, December.
- Im, Kyung So & Pesaran, M. Hashem & Shin, Yongcheol, 2003.
"Testing for unit roots in heterogeneous panels,"
Journal of Econometrics,
Elsevier, vol. 115(1), pages 53-74, July.
- Tom Doan, . "IPSHIN: RATS procedure to implement Im, Pesaran and Shin panel unit root test," Statistical Software Components RTS00098, Boston College Department of Economics.
- Pasaran, M.H. & Im, K.S. & Shin, Y., 1995. "Testing for Unit Roots in Heterogeneous Panels," Cambridge Working Papers in Economics 9526, Faculty of Economics, University of Cambridge.
- Hakkio, Craig S & Rush, Mark, 1991. "Is the Budget Deficit "Too Large?"," Economic Inquiry, Western Economic Association International, vol. 29(3), pages 429-45, July.
- Pedroni, Peter, 2004.
"Panel Cointegration: Asymptotic And Finite Sample Properties Of Pooled Time Series Tests With An Application To The Ppp Hypothesis,"
Cambridge University Press, vol. 20(03), pages 597-625, June.
- Peter Pedroni, 2004. "Panel Cointegration: Asymptotic and Finite Sample Properties of Pooled Time Series Tests with an Application to the PPP Hypothesis," Department of Economics Working Papers 2004-15, Department of Economics, Williams College.
- Antonio Afonso, 2004.
"Fiscal Sustainability: the Unpleasant European Case,"
Money Macro and Finance (MMF) Research Group Conference 2004
57, Money Macro and Finance Research Group.
- António Afonso, 2005. "Fiscal Sustainability: The Unpleasant European Case," FinanzArchiv: Public Finance Analysis, Mohr Siebeck, Tübingen, vol. 61(1), pages 19-, March.
- Kao, Chihwa, 1999. "Spurious regression and residual-based tests for cointegration in panel data," Journal of Econometrics, Elsevier, vol. 90(1), pages 1-44, May.
- Levin, Andrew & Lin, Chien-Fu & James Chu, Chia-Shang, 2002.
"Unit root tests in panel data: asymptotic and finite-sample properties,"
Journal of Econometrics,
Elsevier, vol. 108(1), pages 1-24, May.
- Tom Doan, . "LEVINLIN: RATS procedure to perform Levin-Lin-Chu test for unit roots in panel data," Statistical Software Components RTS00242, Boston College Department of Economics.
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