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The process followed by PPP data. On the properties of linearity tests Author info | Abstract | Publisher info | Download info | Related research | Statistics Ivan Paya
David A. Peel
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Recent research has reported the lack of correct size in stationarity test for PPP deviations within a linear framework. However, theoretically well motivated non-linear models, such as the ESTAR, appear to parsimoniously fit the PPP data and provide an explanation for the PPP 'puzzle’. Employing Monte Carlo experiments the size and power of the non-linear tests are analysed against a variety of nonstationary hypotheses. Aslo the ESTAR model is fitted to data from high inflation economies. The results provide further support for ESTAR specification.
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Article provided by Taylor and Francis Journals in its journal Applied Economics .
Volume (Year): 37 (2005)
Issue (Month): 21 (December)
Pages: 2515-2522
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Bevilacqua, Franco, 2006.
"Random walks and cointegration relationships in international parity conditions between Germany and USA for the post Bretton-Woods period ,"
UNU-MERIT Working Paper Series
012, United Nations University, Maastricht Economic and social Research and training centre on Innovation and Technology.
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Bevilacqua, Franco, 2006.
"Random walks and cointegration relationships in international parity conditions between Germany and USA for the Bretton-Woods period ,"
UNU-MERIT Working Paper Series
016, United Nations University, Maastricht Economic and social Research and training centre on Innovation and Technology.
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