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SPair-Wise Output Convergence in East Asia and the Pacific: An Application of Stochastic Unit Root Test

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Abstract
The objective of this paper is to examine time series cross-country output convergence in eleven counties of East Asia and the Pacific. Specifically, we modelled the cross-country output differences as a Stochastic Unit Root (STUR) processes a la Granger and Swanson (1997). Since, STUR commonly occur in economic theory as well as in everyday macroeconomic applications, therefore, modelling cross-country output differences as STUR is considered pertinent and superior in terms of performance and forecasting. Leybourne et al. (1997) test has been applied that has a null hypothesis of exact unit roots against an alternative of STUR. The presence of a constant unit root in output differences implies divergence while the presence of a stochastic unit root implies convergence. Using the output-differences between Japan and the 10 other countries, we find output convergence only for the Japan-New Zealand and Japan-Taiwan country-pairs. Alternatively, using the output-differences between Australia (reference country) and the other 10 sampled countries; we fail to find any evidence of convergence.

Suggested Citation

  • Chowdhury, Khorshed & Mallik, Girijasankar, 2007. "SPair-Wise Output Convergence in East Asia and the Pacific: An Application of Stochastic Unit Root Test," Economics Working Papers wp07-07, School of Economics, University of Wollongong, NSW, Australia.
    • Handle: RePEc:uow:depec1:wp07-07
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    References listed on IDEAS

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    More about this item

    Keywords

    Per Capita GDP; Convergence; Deterministic unit root; STUR;
    All these keywords.

    JEL classification:

    • C21 - Mathematical and Quantitative Methods - - Single Equation Models; Single Variables - - - Cross-Sectional Models; Spatial Models; Treatment Effect Models
    • O18 - Economic Development, Innovation, Technological Change, and Growth - - Economic Development - - - Urban, Rural, Regional, and Transportation Analysis; Housing; Infrastructure

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