The Validity of PPP Theory in ASEAN-Five: Another Look on Cointegration and Panel Data Analysis
Abstract
The study aims to examine the robustness of different PPP models by applying different types of econometric techniques in ASEAN-Five economies from 1983:M1 to 2002:M9. Two versions of PPP theory have been estimated within Engle-Granger bivariate cointegration test, Johansen- Juselius multivariate cointegration model and panel data analysis proposed by Gujarati (2003). Based on the bivariate test, we found that PPP theory does not hold in the countries under concerned, while the validity of the PPP was confirmed if the multivariate procedure was applied. A supporting finding was documented when we analyse the robustness of the theory by looking on panel data analysis. Therefore, this study can be viewed as an additional work in providing justification for the theory of PPP in ASEAN-Five economies.Download Info
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Paper provided by EconWPA in its series International Trade with number 0309018.Length:
Date of creation: 06 Sep 2003
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Handle: RePEc:wpa:wuwpit:0309018
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Related research
Keywords: PPP; cointegration; panel analysis; ASEAN;Find related papers by JEL classification:
- L31 - Industrial Organization - - Nonprofit Organizations and Public Enterprise - - - Nonprofit Institutions; NGOs
- N10 - Economic History - - Macroeconomics and Monetary Economics; Industrial Structure; Growth; Fluctuations - - - General, International, or Comparative
- C22 - Mathematical and Quantitative Methods - - Single Equation Models; Single Variables - - - Time-Series Models; Dynamic Quantile Regressions; Dynamic Treatment Effect Models
This paper has been announced in the following NEP Reports:
- NEP-ETS-2003-09-14 (Econometric Time Series)
- NEP-IFN-2003-09-14 (International Finance)
- NEP-SEA-2003-09-14 (South East Asia)
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Citations
Citations are extracted by the CitEc Project, subscribe to its RSS feed for this item.Cited by:
- Y. Kahiri & A. Shmilovici & S. Hauser, 2006.
"Measuring the Efficiency of the Intraday Forex Market with a Universal Data Compression Algorithm,"
Computing in Economics and Finance 2006
256, Society for Computational Economics.
- Armin Shmilovici & Yoav Kahiri & Irad Ben-Gal & Shmuel Hauser, 2009. "Measuring the Efficiency of the Intraday Forex Market with a Universal Data Compression Algorithm," Computational Economics, Society for Computational Economics, vol. 33(2), pages 131-154, March.
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