Does the Wagner’s Law hold for Thailand? A Time Series Study
Wagner’s Law suggests that as the GDP of a country increases, so does its government expenditure. We test for the Law for Thailand using recent advances in econometric techniques. Both total and per capita GDP and government expenditure are used. Ng-Perron unit root tests show that all variables are integrated of order 1. Toda-Yamamoto tests of Granger causality show that there is no causality flowing from either direction between GDP and government expenditure. Autoregressive Distributed Lag (ARDL) tests of cointegration show very weak evidence of a long-run relationship between GDP and government expenditure. Thus, we do not find much evidence that the Wagner’s Law holds for Thailand.
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- Serena Ng & Pierre Perron, 2001.
"LAG Length Selection and the Construction of Unit Root Tests with Good Size and Power,"
Econometric Society, vol. 69(6), pages 1519-1554, November.
- Serena Ng & Pierre Perron, 1997. "Lag Length Selection and the Construction of Unit Root Tests with Good Size and Power," Boston College Working Papers in Economics 369, Boston College Department of Economics, revised 01 Sep 2000.
- Chi-Ang Lin, 2002. "On the level of persistence in government size: time-series evidence and implications for the US," Applied Economics, Taylor & Francis Journals, vol. 34(8), pages 999-1005.
- Graham Elliott & Thomas J. Rothenberg & James H. Stock, 1992.
"Efficient Tests for an Autoregressive Unit Root,"
NBER Technical Working Papers
0130, National Bureau of Economic Research, Inc.
- James G. MacKinnon, 1995.
"Numerical Distribution Functions for Unit Root and Cointegration Tests,"
918, Queen's University, Department of Economics.
- MacKinnon, James G, 1996. "Numerical Distribution Functions for Unit Root and Cointegration Tests," Journal of Applied Econometrics, John Wiley & Sons, Ltd., vol. 11(6), pages 601-18, Nov.-Dec..
- Bird, Richard M, 1971. "Wagner's o Law' of Expanding State Activity," Public Finance = Finances publiques, , vol. 26(1), pages 1-26.
- Henrekson, Magnus, 1993. "Wagner's Law--A Spurious Relationship?," Public Finance = Finances publiques, , vol. 48(3), pages 406-15.
- Tsangyao Chang & WenRong Liu & Steven Caudill, 2004. "A re-examination of Wagner's law for ten countries based on cointegration and error-correction modelling techniques," Applied Financial Economics, Taylor & Francis Journals, vol. 14(8), pages 577-589.
- Bharat Kolluri & Michael Panik & Mahmoud Wahab, 2000. "Government expenditure and economic growth: evidence from G7 countries," Applied Economics, Taylor & Francis Journals, vol. 32(8), pages 1059-1068.
- Toda, Hiro Y. & Yamamoto, Taku, 1995. "Statistical inference in vector autoregressions with possibly integrated processes," Journal of Econometrics, Elsevier, vol. 66(1-2), pages 225-250.
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