Cointegration, causality and Wagner’s law with disaggregated data: evidence from Turkey, 1968-2004
AbstractRecent developments in time series analysis have encouraged the economists to re-examine their findings about the Wagner’s Law. That is why, the aggregation in public expenditures may lead some contradictions, disaggregated analyses should perform to have more consistent results. In this paper, the cointegration and causal relationships have re-examined between public expenditure and economic growth by using disaggregated annual data over the period of 1968-2004 for Turkish economy. Obtained results show that there is no common trend between these variables in the long-run. In the short-run, however, there is a strong and bidirectional causal relationship between public investment expenditures and economic growth.
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Bibliographic InfoPaper provided by University Library of Munich, Germany in its series MPRA Paper with number 36894.
Date of creation: 19 Feb 2012
Date of revision:
Wagner's Law; Cointegration; Causality; disaggregated data; public expenditures; economic growth;
Find related papers by JEL classification:
- E62 - Macroeconomics and Monetary Economics - - Macroeconomic Policy, Macroeconomic Aspects of Public Finance, and General Outlook - - - Fiscal Policy
- O23 - Economic Development, Technological Change, and Growth - - Development Planning and Policy - - - Fiscal and Monetary Policy in Development
- C12 - Mathematical and Quantitative Methods - - Econometric and Statistical Methods and Methodology: General - - - Hypothesis Testing: General
- B22 - Schools of Economic Thought and Methodology - - History of Economic Thought since 1925 - - - Macroeconomics
This paper has been announced in the following NEP Reports:
- NEP-ALL-2012-03-08 (All new papers)
- NEP-ARA-2012-03-08 (MENA - Middle East & North Africa)
- NEP-FDG-2012-03-08 (Financial Development & Growth)
- NEP-MAC-2012-03-08 (Macroeconomics)
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- Pesaran, M Hashem & Pierse, Richard G & Kumar, Mohan S, 1989.
"Econometric Analysis of Aggregation in the Context of Linear Prediction Models,"
Econometric Society, vol. 57(4), pages 861-88, July.
- M. H. Pesaran & R. G. Pierse & M. S. Kumar, 1988. "Econometric Analysis of Aggregation in the Context of Linear Prediction Models," UCLA Economics Working Papers 485, UCLA Department of Economics.
- Sargan, John Denis & Bhargava, Alok, 1983. "Testing Residuals from Least Squares Regression for Being Generated by the Gaussian Random Walk," Econometrica, Econometric Society, vol. 51(1), pages 153-74, January.
- Tobin, Damian, 2005. "Economic Liberalization, the Changing Role of the State and "Wagner's Law": China's Development Experience since 1978," World Development, Elsevier, vol. 33(5), pages 729-743, May.
- Abizadeh, Sohrab & Yousefi, Mahmood, 1998. "An empirical analysis of South Korea's economic development and public expenditures growth," Journal of Behavioral and Experimental Economics (formerly The Journal of Socio-Economics), Elsevier, vol. 27(6), pages 687-700.
- Narayan, Paresh Kumar & Nielsen, Ingrid & Smyth, Russell, 2008.
"Panel data, cointegration, causality and Wagner's law: Empirical evidence from Chinese provinces,"
China Economic Review,
Elsevier, vol. 19(2), pages 297-307, June.
- Paresh Kumar Narayan & Ingrid Nielsen & Russell Smyth, 2006. "Panel Data, Cointegration, Causality And Wagner'S Law: Empirical Evidence From Chinese Provinces," Monash Economics Working Papers 01/06, Monash University, Department of Economics.
- Granger, C. W. J. & Siklos, Pierre L., 1995.
"Systematic sampling, temporal aggregation, seasonal adjustment, and cointegration theory and evidence,"
Journal of Econometrics,
Elsevier, vol. 66(1-2), pages 357-369.
- Granger, C.W.J. & Siklos, P.L., 1993. "Systematic Sampling, Temporal Aggregation, Seasonal Adjustment, and Cointegration: Theory and Evidence," Working Papers 93001, Wilfrid Laurier University, Department of Economics.
- Halicioglu Ferda, 2003. "Testing Wagner's Law for Turkey, 1960-2000," Review of Middle East Economics and Finance, De Gruyter, vol. 1(2), pages 31-42, August.
- Peter M. Jackson & Meryem Duygun Fethi & Sami Fethi, . "Cointegration, Causality and Wagner's Law: A test for Northern Cyprus, 1977-1996," Discussion Papers in Public Sector Economics 99/2, Department of Economics, University of Leicester.
- Granger, C. W. J., 1988. "Some recent development in a concept of causality," Journal of Econometrics, Elsevier, vol. 39(1-2), pages 199-211.
- Jiranyakul, Komain, 2007. "The Relation between Government Expenditures and Economic Growth in Thailand," MPRA Paper 46070, University Library of Munich, Germany.
- Oxley, Les, 1994. "Cointegration, Causality and Wagner's Law: A Test for Britain 1870-1913," Scottish Journal of Political Economy, Scottish Economic Society, vol. 41(3), pages 286-98, August.
- Bruce Morley & Nicholas Perdikis, 2000. "Trade liberalisation, government expenditure and economic growth in Egypt," Journal of Development Studies, Taylor & Francis Journals, vol. 36(4), pages 38-54.
- Michael Chletsos & Christos Kollias, 1997. "Testing Wagner's law using disaggregated public expenditure data in the case of Greece: 1958-93," Applied Economics, Taylor & Francis Journals, vol. 29(3), pages 371-377.
- Rajaguru GULASEKARAN & Tilak ABEYSINGHE, 2002. "The Distortionary Effects Of Temporal Aggregation On Granger Causality," Departmental Working Papers wp0204, National University of Singapore, Department of Economics.
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